CN106920416B - Vehicle based on Internet of Things big data technology prevents the method and system flooded - Google Patents
Vehicle based on Internet of Things big data technology prevents the method and system flooded Download PDFInfo
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- CN106920416B CN106920416B CN201710252331.8A CN201710252331A CN106920416B CN 106920416 B CN106920416 B CN 106920416B CN 201710252331 A CN201710252331 A CN 201710252331A CN 106920416 B CN106920416 B CN 106920416B
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
- G08G1/0967—Systems involving transmission of highway information, e.g. weather, speed limits
- G08G1/096766—Systems involving transmission of highway information, e.g. weather, speed limits where the system is characterised by the origin of the information transmission
- G08G1/096775—Systems involving transmission of highway information, e.g. weather, speed limits where the system is characterised by the origin of the information transmission where the origin of the information is a central station
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/14—Traffic control systems for road vehicles indicating individual free spaces in parking areas
- G08G1/149—Traffic control systems for road vehicles indicating individual free spaces in parking areas coupled to means for restricting the access to the parking space, e.g. authorization, access barriers, indicative lights
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
- H04L67/125—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks involving control of end-device applications over a network
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/52—Network services specially adapted for the location of the user terminal
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/55—Push-based network services
Abstract
A method of the vehicle based on Internet of Things big data technology prevents from being flooded comprising following steps: from the altitude information obtained in default geographic range in weather forecast server, altitude information is ranked up according to from high to low in advance for S1, central server；S2, central server from navigation positioning system obtain geographic range in road information and each parking location information in geographic range；Central server generates the secure parking alternative area of different safety class according to the parking lot accumulated water situation of precipitation value, precipitation duration and the same period, road waterlogging situation in the unit time over the years；S3, central server obtain parking lot information in secure parking alternative area, and the parking lot information includes parking location information, cost information；And the corresponding relationship of parking lot information and precipitation event is established based on precipitation safety allowance；S4, central server obtain the precipitation event information in the following preset time according to weather forecast server.
Description
Technical field
The present invention relates to big data and automobile technical field, in particular to a kind of vehicle based on Internet of Things big data technology
Prevent the method and system flooded.
Background technique
Autonomous driving vehicle (Autonomous vehicles；Self-piloting automobile) it is also known as nobody and drives
Automobile, computer driving or wheeled mobile robot are sailed, is a kind of unpiloted intelligence vapour to be realized by computer system
Vehicle.The research and development of autonomous driving vehicle technology, have also there is the history of many decades in 20th century, are showed at the beginning of 21 century close to real
With the trend of change, for example, Google's autonomous driving vehicle obtains the first automatic driving vehicle licensing in the U.S. in May, 2012,
It is expected that entering market sale in 2015 to 2017.
Autonomous driving vehicle is closed by artificial intelligence, vision calculating, radar, monitoring device and global positioning system collaboration
Make, computer is allowed can to operate motor vehicles to automatic safe under the operation of nobody class active.Under in 12 months 2014
Ten days, Google's rollout automatic Pilot prototype vehicle finished product, the vehicle can global function operations.In May, 2015, Google announces will be in 2015
Summer in year tests its autonomous driving vehicle on the highway in California mountain scene city.
With meteorological variation, urban waterlogging is also increasingly severe, once vehicle is flooded, gently then interior interior trim water inlet meets with
It is damaged, heavy then water inflow of the engine, vehicle electronics master control system are impaired to lead to vehicle scrapping.Especially for user in vehicle
Park ground strange land when, can not timely move vehicle, save oneself to user causes very big obstacle.
Summary of the invention
In view of this, the present invention, which provides a kind of vehicle based on Internet of Things big data technology, to be prevented the method flooded and is
System.
A method of the vehicle based on Internet of Things big data technology prevents from being flooded comprising following steps:
S1, central server, will be extra large in advance from the altitude information obtained in default geographic range in weather forecast server
Information is pulled out to be ranked up according to from high to low；
S2, central server are out of, road information and geographic range that obtained in geographic range in navigation positioning system
Each parking location information；Central server is according to the parking of precipitation value, precipitation duration and the same period in the unit time over the years
Field accumulated water situation, road waterlogging situation generate the secure parking alternative area of different safety class；
S3, central server obtain parking lot information in secure parking alternative area, and the parking lot information includes parking
Field location information, cost information；And the corresponding relationship of parking lot information and precipitation event is established based on precipitation safety allowance；
S4, central server obtain the precipitation event information in the following preset time, and root according to weather forecast server
According to the selected alternative parking of the corresponding relationship of precipitation event information and parking lot information and precipitation event in the following preset time
?；
Alternative parking lot information and parking position information are pushed to the mobile end of vehicle user by S5, central server
End；
The location information that S6, central server are sent by receiving vehicle by navigation positioning system；
S7, central server generate navigation routine information of the current vehicle position to each alternative parking lot, predicted travel
Duration information and cost information will be sent to the mobile terminal of user；
The pre-paid information and license board information of user are sent parking lot server by S8, mobile terminal；
S9, parking lot server issue control ground lock open command and lock with starting the predetermined berth in parking lot；
S10, parking lot server are numbered the indoor navigation for generating Entrance to predetermined berth according to predetermined berth and are believed
It ceases, and sends indoor navigation information to the onboard system of vehicle；
S11, vehicle reach Entrance when, parking lot server knows vehicle by received license board information
Not, parking lot gate inhibition is opened after identifying successfully；
S12, parking lot server obtain location information of the vehicle in parking lot in real time；
S13, parking lot server judge that vehicle driving is locked to ground and close in regional scope that then parking lot server is sent out in this way
Control ground is locked out code and is locked with closing the predetermined berth in parking lot out.
It is prevented in the method flooded in the vehicle of the present invention based on Internet of Things big data technology,
After the step S6 further include:
S61a, configured in vehicle on-board system user mobile terminal unique identifier, the identification marking uses
The legitimacy of instruction is sent in identification mobile terminal；The driving mode of acquisition for mobile terminal user selects information, for the first kind
When type, step S62a is jumped to；When for Second Type, step S63a is jumped to；When for third type, S64a is jumped to；
When for four types, step S65a is jumped to；
S62a, the first kind are automatic driving mode, and mobile terminal sends automatic Pilot instruction to the vehicle-mounted system of vehicle
System, the onboard system of vehicle parse the unique identifier of mobile terminal from automatic Pilot instruction, are sentenced according to identification marking
The legitimacy of disconnected automatic Pilot instruction executes step S7 and later step by rear sequence in judgement；
Corresponding, the step S10 also includes: that vehicle passes through certainly according to the navigation routine information in selected parking lot later
Dynamic driving mode is sailed to Entrance；During automatic Pilot, vehicle position information is sent and is thrown in real time by onboard system
It is mapped on the mobile terminal of user；
Correspondingly, in the step S12 further include: vehicle is driven according to indoor navigation information；
Correspondingly, the step S13 further include: the onboard system of vehicle starts automatic parking function, drives into predetermined berth,
And terminate；
S63a, Second Type are user's driving mode, jump to step S7；
S64a, third type are sharing model, and user is according to customer relationship network, by mobile terminal by alternative parking lot
Information is pushed to the user terminal of other staff in customer relationship network, and terminates；
S65a, the 4th type are other users driving mode, and the mobile terminal of user will change information of mobile terminal and receive
Solicited message be sent to central server and be modified, and jump to step S7.
It is prevented in the method flooded in the vehicle of the present invention based on Internet of Things big data technology,
After the step S6 further include:
S61b, central server obtain whether go out simultaneously on vehicle location and all navigation routines in each alternative parking lot
Existing accumulated water is more than that the situation of safety traffic depth jumps to step S7 when not occurring simultaneously；Otherwise step S62b is jumped to；
S62b, central server send emergency information to custom system terminal；
The support component of vehicle bottom is arranged in S63b, onboard system control starting, and control increases automobile body
And carry out locking；And car insurance corporate server is sent by sue and labour information, location information of default trailer；
S64b, onboard system obtain vehicle apposition water depth information in real time；Judge whether depth of accumulated water information is more than vehicle peace
Full depth value；When depth of accumulated water is more than safety depth value, step S65b is jumped to；Vehicle safety depth is less than in depth of accumulated water
When angle value, step S66b is jumped to；
S65b, onboard system carry out locking to vehicle starting system, and cut off all power supplys of vehicle；
Whether it is more than pre-set velocity that S66b, onboard system judge that depth of accumulated water value is increased speed, and jumps to step when being more than
Rapid S65b；Step S64b is jumped to when being less than.
It is prevented in the method flooded in the vehicle of the present invention based on Internet of Things big data technology,
The vehicle is sailed by automatic driving mode into Entrance according to the navigation routine information in selected parking lot
Further include:
Obtain minimum speed-limiting messages and Maximum speed limit information on navigation routine；It is limited by minimum speed-limiting messages and highest
Wagon flow, people information in fast information and running section carry out speed control；
Pedestrian track judgment models are pre-established, it is mobile to pedestrian on route or travel by vehicle by pedestrian track judgment models
Route is predicted；Judge whether vehicle early warning situation occur by prediction result；When there is vehicle early warning situation, vehicle-mounted system
System control brake system takes the mode for reducing or temporarily ceasing driving vehicle to preset time to carry out hedging；
Wherein, the pedestrian track judgment models are implemented as follows:
Define gait motion vector: Xk=(xk,yk,sk,ck,ak,bk), wherein 6 values are successively divided in gait motion vector
The x by the pedestrian target of onboard sensor acquisition in video image that k moment onboard system obtains in Biao Shi not travelling is sat
Mark, y-coordinate, scale value, swing, transverse and longitudinal ratio, inclination angle；
Define pedestrian's tendency model: Xk=Xk-1+Wk, wherein column vector WkIndicate that mean value is 0, variance is diagonal matrixGaussian random parameter；
K=0 is enabled, initial video frame is chosen and compares target X0, calculate the initial dynamic space of initial video frame control target
Model Z0；According to prior distribution P (X0) establish initial testing collectionI is less than or equal to N；
The weight of predictive factor is concentrated according to initial testingFrom t moment test setAgain it extracts N number of
Predictive factor, as new initial testing collection
The new state of predictive factor is predicted by new initial testing collection, and by initial dynamic space model Z0Calculate prediction
The weight of the factor obtains t+1 moment test set
According to new initial testing collectionAnd t+1 moment test setIt is flat to carry out mean value
Weigh iteration, and is dissipated after iteration according to preset value, after iterating to predetermined number of times, passes through initial dynamic space model Z0
The new weight for calculating new predictive factor, obtains the test set at k+1 moment
To the test set at k+1 momentPass through the newest pedestrian movement's trend shape of calculated with weighted average method target
State；
Enable k=k+1, repeat choose initial video frame compare target to later the step of, become there is pedestrian movement
When gesture state is consistent with default early warning trend, there is vehicle early warning situation in determination.
It is prevented in the method flooded in the vehicle of the present invention based on Internet of Things big data technology,
The step S1 includes: central server in advance from the sea obtained in default geographic range in weather forecast server
Information is pulled out, the geographical coordinate point one-to-one relationship in altitude information and geographic range is established；
Correspondingly, the step S2 includes:
Central server from navigation positioning system obtain geographic range in road information and geographic range in it is each
A parking location information；
Altitude information is superimposed by step S1 intermediate altitude information with the geographical coordinate point one-to-one relationship in geographic range
In each parking location information in road information and geographic range in geographic range, parking lot geographical distribution is generated
Figure information；The geographic distribution information include each parking lot altitude information and to parking lot each road not
With available information in the case of the total precipitation；
Central server obtain precipitation value, precipitation duration and the same period in the unit time over the years parking lot accumulated water situation,
The available information of road waterlogging situation, the altitude information to each parking lot and each road to parking lot is modified,
Obtain parking alternative area；
Parking alternative area is classified to obtain the secure parking alternative area of different safety class according to accumulated water risk.
It is prevented in the method flooded in the vehicle of the present invention based on Internet of Things big data technology,
The unique identifier of the mobile terminal of user, the knowledge are configured in the step S61a in vehicle on-board system
Not identifying the legitimacy that mobile terminal transmission instructs for identification includes:
Initial random number, generating random number list of rules, enciphering and deciphering algorithm selection list of rules are configured to vehicle offline
In the second dedicated encrypted storage region in the first dedicated encrypted storage region and user terminal of onboard system；
Correspondingly, the first kind is automatic driving mode in the step S62a, automatic Pilot is instructed and is sent out by mobile terminal
It is sent to the onboard system of vehicle, the onboard system of vehicle parses the unique identification mark of mobile terminal from automatic Pilot instruction
Know, the legitimacy for judging automatic Pilot instruction according to identification marking includes:
Mobile terminal obtains initial random number according to generating random number list of rules from the second dedicated encrypted storage region
Generate new random number, and enciphering and deciphering algorithm selected according to enciphering and deciphering algorithm selective listing, by new random number, selection plus
Decipherment algorithm instructs automatic Pilot and the unique identifier of mobile terminal encrypts, and encrypted information is sent
To the onboard system of vehicle；
Onboard system by from the first dedicated encrypted storage region initial random number, generating random number list of rules and
Enciphering and deciphering algorithm selects list of rules to generate the enciphering and deciphering algorithm for the random number of decryption and for decryption, according to for solving
Close random number and for decryption enciphering and deciphering algorithm to encrypted information be decrypted to obtain automatic Pilot instruction and
The unique identifier of mobile terminal；The legitimacy of automatic Pilot instruction is judged according to identification marking.
It is prevented in the method flooded in the vehicle of the present invention based on Internet of Things big data technology,
By pedestrian track judgment models to before pedestrian's mobile route is predicted on route or travel by vehicle further include:
Setting updates coefficient g, video image is divided into rectangular block, the rectangular block has m*r block；Adjacent rectangle is set
The matrix weight sequence matrix E (k) of block={ σp,q(k) }, (p=1,2...m), (q=1,2...r), σp,qIt (k) is k moment square
The weight of shape block；Obtain weight mean valueAnd judge σp,q (k)Whether it is less thanWith update coefficient g product, if small
In then by the σp,q (k)Value retains, and otherwise removes the σp,q (k)Value.
The present invention also provides a kind of vehicles based on Internet of Things big data technology to prevent the system flooded comprising such as places an order
Member:
Altitude information acquiring unit, for obtaining default geography from weather forecast server in advance by central server
Altitude information is ranked up by the altitude information in range according to from high to low；
Grade classification unit, for being believed by central server from the road obtained in navigation positioning system in geographic range
Each parking location information in breath and geographic range；Central server is according to precipitation value, precipitation in the unit time over the years
Duration and the parking lot accumulated water situation of the same period, road waterlogging situation generate the secure parking alternative area of different safety class；
Correspondence relationship establishing unit, for obtaining parking lot information in secure parking alternative area by central server,
The parking lot information includes parking location information, cost information；And parking lot information is established based on precipitation safety allowance
With the corresponding relationship of precipitation event；
Vehicle stops field and selectes unit, for being obtained in the following preset time by central server according to weather forecast server
Precipitation event information, and according to pair of precipitation event information and parking lot information and precipitation event in the following preset time
It should be related to and select alternative parking lot；
Alternative parking lot information and parking position information are pushed to vehicle for central server by information push unit
The mobile terminal of user；
Information receiving unit, the position for being sent by receiving vehicle by navigation positioning system by central server
Information；
Navigation information unit, for generating the navigation of current vehicle position to each alternative parking lot by central server
Route information, predicted travel duration information and cost information will be sent to the mobile terminal of user；
Payment unit, for sending parking lot clothes for the pre-paid information and license board information of user by mobile terminal
Business device；
Start unit is locked on ground, predetermined for locking open command with issuing control by parking lot server and starting parking lot
Lock to berth；
Indoor navigation unit generates Entrance to predetermined for numbering by parking lot server according to predetermined berth
The indoor navigation information in berth, and send indoor navigation information to the onboard system of vehicle；
Vehicle recognition unit, for when vehicle reaches Entrance, parking lot server to be believed by received license plate
Breath identifies vehicle, opens parking lot gate inhibition after identifying successfully；
Positioning unit, for obtaining location information of the vehicle in parking lot in real time by parking lot server；
Closing unit is locked on ground, is closed in regional scope for judging that vehicle driving is locked to ground by parking lot server, such as
It is that parking lot server is locked out code and locked with closing the predetermined berth in parking lot with issuing control.
Advantageous effects: it is of the invention compared with the existing technology, can shift to an earlier date and be shifted to an earlier date according to weather warning information
Early warning, and make a reservation for the parking lot of safety, it is disposed in advance, prevents vehicle from being flooded.
Detailed description of the invention
Fig. 1 is that the vehicle provided in an embodiment of the present invention based on Internet of Things big data technology prevents the system structure frame flooded
Figure.
Specific embodiment
In embodiments of the present invention, a method of the vehicle based on Internet of Things big data technology prevents from being flooded comprising
Following steps:
S1, central server, will be extra large in advance from the altitude information obtained in default geographic range in weather forecast server
Information is pulled out to be ranked up according to from high to low.
All navigation products on the market only include prediction whether road congestion information, future trajectory are unimpeded at present
Altitude information is not combined together by information.
S2, central server are out of, road information and geographic range that obtained in geographic range in navigation positioning system
Each parking location information；Central server is according to the parking of precipitation value, precipitation duration and the same period in the unit time over the years
Field accumulated water situation, road waterlogging situation generate the secure parking alternative area of different safety class.
The meaning of this step is that existing navigation product first does not have altitude information, in the environment of urban waterlogging, nothing
Method obtains parking where at the first time is compared security information.And this step combines precipitation value in the unit time over the years, drop
Water duration and parking lot accumulated water situation, the road waterlogging situation of the same period, can according to these information in step S1 merely according to
Bad altitude information can not accurately react a parking lot whether An Quan limitation.In addition, the parking lot accumulated water situation obtained,
Road waterlogging situation also can reflect the passability information for reaching parking lot, and some parking lots itself are very safe, but can not
Easily by the defect of vehicle drive to destination.
The one of this step is big, and advantage is, since the vehicle parking information of user can not be known in advance, in the short time
It, can not be promptly in conjunction with the position of vehicle itself and road passability, parking lot safety in the interior biggish situation of rainfall
Information links, and quickly finds secure parking area.
S3, central server obtain parking lot information in secure parking alternative area, and the parking lot information includes parking
Field location information, cost information；And the corresponding relationship of parking lot information and precipitation event is established based on precipitation safety allowance；
In the big city of current parking position anxiety, although some parking lots be it is safe, Parking Fee but compares
Higher, for user if only using safety as uniquely standard is considered, economy is not high.Therefore this step combines parking lot
Cost information；In addition, setting precipitation safety allowance, is to overcome the precipitation event information in the following preset time may
Haves the defects that deviation.
S4, central server obtain the precipitation event information in the following preset time, and root according to weather forecast server
According to the selected alternative parking of the corresponding relationship of precipitation event information and parking lot information and precipitation event in the following preset time
?；
Alternative parking lot information and parking position information are pushed to the mobile end of vehicle user by S5, central server
End；
The location information that S6, central server are sent by receiving vehicle by navigation positioning system；
S7, central server generate navigation routine information of the current vehicle position to each alternative parking lot, predicted travel
Duration information and cost information will be sent to the mobile terminal of user；
The pre-paid information and license board information of user are sent parking lot server by S8, mobile terminal；
Since in the case where that urban waterlogging may occur, parking stall is more nervous, therefore the behavior by carrying out pre-paid,
The parking stall in parking lot can be subscribed, be avoided during going to parking lot, the case where parking stall changes.
S9, parking lot server issue control ground lock open command and lock with starting the predetermined berth in parking lot；
S10, parking lot server are numbered the indoor navigation for generating Entrance to predetermined berth according to predetermined berth and are believed
It ceases, and sends indoor navigation information to the onboard system of vehicle；
S11, vehicle reach Entrance when, parking lot server knows vehicle by received license board information
Not, parking lot gate inhibition is opened after identifying successfully；
S12, parking lot server obtain location information of the vehicle in parking lot in real time；
S13, parking lot server judge that vehicle driving is locked to ground and close in regional scope that then parking lot server is sent out in this way
Control ground is locked out code and is locked with closing the predetermined berth in parking lot out.
Vehicle can be made to quickly find subscribed vehicle in parking lot by implementation steps S9 to step S13, first
Position；The case where second avoids vehicle in parking lot in driving process, and parking stall is occupied by them.
It is prevented in the method flooded in the vehicle of the present invention based on Internet of Things big data technology,
After the step S6 further include:
S61a, configured in vehicle on-board system user mobile terminal unique identifier, the identification marking uses
The legitimacy of instruction is sent in identification mobile terminal；The driving mode of acquisition for mobile terminal user selects information, for the first kind
When type, step S62a is jumped to；When for Second Type, step S63a is jumped to；When for third type, S64a is jumped to；
When for four types, step S65a is jumped to；
S62a, the first kind are automatic driving mode, and mobile terminal sends automatic Pilot instruction to the vehicle-mounted system of vehicle
System, the onboard system of vehicle parse the unique identifier of mobile terminal from automatic Pilot instruction, are sentenced according to identification marking
The legitimacy of disconnected automatic Pilot instruction executes step S7 and later step by rear sequence in judgement；By implementing this step, energy
Enough realize the automatic Pilot of vehicle, this implementation does not improve automatic Pilot technology itself, this step can be realized user
Not beside vehicle, vehicle can not be driven, vehicle can not move the generation for the defect for causing to be flooded.
Corresponding, the step S10 also includes: that vehicle passes through certainly according to the navigation routine information in selected parking lot later
Dynamic driving mode is sailed to Entrance；During automatic Pilot, vehicle position information is sent and is thrown in real time by onboard system
It is mapped on the mobile terminal of user；By implementing this step, it is able to use the location information that vehicle is grasped at family in real time.
Correspondingly, in the step S12 further include: vehicle is driven according to indoor navigation information；
Correspondingly, the step S13 further include: the onboard system of vehicle starts automatic parking function, drives into predetermined berth,
And terminate；
S63a, Second Type are user's driving mode, jump to step S7；
S64a, third type are sharing model, and user is according to customer relationship network, by mobile terminal by alternative parking lot
Information is pushed to the user terminal of other staff in customer relationship network, and terminates；By implementing this step, by alternative parking lot
Information is pushed to the user terminal of other staff in customer relationship network, realizes the shared of resource, this situation can be adapted for
User's Iterim Change vehicle driving destination, it is no longer necessary to the case where making a reservation for the parking stall.
S65a, the 4th type are other users driving mode, and the mobile terminal of user will change information of mobile terminal and receive
Solicited message be sent to central server and be modified, and jump to step S7.In step, change after mobile terminal,
Mobile terminal after change is the mobile terminal of the user in subsequent step.
It is prevented in the method flooded in the vehicle of the present invention based on Internet of Things big data technology,
After the step S6 further include:
S61b, central server obtain whether go out simultaneously on vehicle location and all navigation routines in each alternative parking lot
Existing accumulated water is more than that the situation of safety traffic depth jumps to step S7 when not occurring simultaneously；Otherwise step S62b is jumped to；
Under special circumstances, in a very short period of time, precipitation may be especially big, it is possible to while accumulated water occur is more than safety traffic depth
Situation.
S62b, central server send emergency information to custom system terminal；
The support component of vehicle bottom is arranged in S63b, onboard system control starting, and control increases automobile body
And carry out locking；And car insurance corporate server is sent by sue and labour information, location information of default trailer；Support component can be with
The place of vehicle support jack is set.The structure of support component can be electric-controlled hydraulic or other structures, structure itself
It is not the improvement of the embodiment of the present invention.
S64b, onboard system obtain vehicle apposition water depth information in real time；Judge whether depth of accumulated water information is more than vehicle peace
Full depth value；When depth of accumulated water is more than safety depth value, step S65b is jumped to；Vehicle safety depth is less than in depth of accumulated water
When angle value, step S66b is jumped to；
S65b, onboard system carry out locking to vehicle starting system, and cut off all power supplys of vehicle；
Whether it is more than pre-set velocity that S66b, onboard system judge that depth of accumulated water value is increased speed, and jumps to step when being more than
Rapid S65b；Step S64b is jumped to when being less than.
It is prevented in the method flooded in the vehicle of the present invention based on Internet of Things big data technology,
The vehicle is sailed by automatic driving mode into Entrance according to the navigation routine information in selected parking lot
Further include:
Obtain minimum speed-limiting messages and Maximum speed limit information on navigation routine；It is limited by minimum speed-limiting messages and highest
Wagon flow, people information in fast information and running section carry out speed control；
Pedestrian track judgment models are pre-established, it is mobile to pedestrian on route or travel by vehicle by pedestrian track judgment models
Route is predicted；Judge whether vehicle early warning situation occur by prediction result；When there is vehicle early warning situation, vehicle-mounted system
System control brake system takes the mode for reducing or temporarily ceasing driving vehicle to preset time to carry out hedging；By implementing this reality
Example is applied, the motion track of pedestrian is predicted, the risk that automatic form collides pedestrian in the process can be substantially reduced.
Wherein, the pedestrian track judgment models are implemented as follows:
Define gait motion vector: Xk=(xk,yk,sk,ck,ak,bk), wherein 6 values are successively divided in gait motion vector
In Biao Shi not travelling k moment onboard system obtain by onboard sensor acquisition x coordinate of the pedestrian target in video image,
Y-coordinate, scale value, swing, transverse and longitudinal ratio, inclination angle；
Define pedestrian's tendency model: Xk=Xk-1+Wk, wherein column vector WkIndicate that mean value is 0, variance is diagonal matrixGaussian random parameter；
K=0 is enabled, initial video frame is chosen and compares target X0, calculate the initial dynamic space of initial video frame control target
Model Z0；According to prior distribution P (X0) establish initial testing collectionI is less than or equal to N；
The weight of predictive factor is concentrated according to initial testingFrom t moment test setAgain it extracts N number of
Predictive factor, as new initial testing collection
The new state of predictive factor is predicted by new initial testing collection, and by initial dynamic space model Z0Calculate prediction
The weight of the factor obtains t+1 moment test set
According to new initial testing collectionAnd t+1 moment test setCarry out mean value balance
Iteration, and dissipated after iteration according to preset value, after iterating to predetermined number of times, pass through initial dynamic space model Z0Meter
The new weight for calculating new predictive factor, obtains the test set at k+1 moment
To the test set at k+1 momentPass through the newest pedestrian movement's trend shape of calculated with weighted average method target
State；
Enable k=k+1, repeat choose initial video frame compare target to later the step of, become there is pedestrian movement
When gesture state is consistent with default early warning trend, there is vehicle early warning situation in determination.
It is prevented in the method flooded in the vehicle of the present invention based on Internet of Things big data technology,
The step S1 includes: central server in advance from the sea obtained in default geographic range in weather forecast server
Information is pulled out, the geographical coordinate point one-to-one relationship in altitude information and geographic range is established；
Correspondingly, the step S2 includes:
Central server from navigation positioning system obtain geographic range in road information and geographic range in it is each
A parking location information；
Altitude information is superimposed by step S1 intermediate altitude information with the geographical coordinate point one-to-one relationship in geographic range
In each parking location information in road information and geographic range in geographic range, parking lot geographical distribution is generated
Figure information；The geographic distribution information include each parking lot altitude information and to parking lot each road not
With available information in the case of the total precipitation；
Central server obtain precipitation value, precipitation duration and the same period in the unit time over the years parking lot accumulated water situation,
The available information of road waterlogging situation, the altitude information to each parking lot and each road to parking lot is modified,
Obtain parking alternative area；
Parking alternative area is classified to obtain the secure parking alternative area of different safety class according to accumulated water risk.
It is prevented in the method flooded in the vehicle of the present invention based on Internet of Things big data technology,
The unique identifier of the mobile terminal of user, the knowledge are configured in the step S61a in vehicle on-board system
Not identifying the legitimacy that mobile terminal transmission instructs for identification includes:
Initial random number, generating random number list of rules, enciphering and deciphering algorithm selection list of rules are configured to vehicle offline
In the second dedicated encrypted storage region in the first dedicated encrypted storage region and user terminal of onboard system；
Correspondingly, the first kind is automatic driving mode in the step S62a, automatic Pilot is instructed and is sent out by mobile terminal
It is sent to the onboard system of vehicle, the onboard system of vehicle parses the unique identification mark of mobile terminal from automatic Pilot instruction
Know, the legitimacy for judging automatic Pilot instruction according to identification marking includes:
Mobile terminal obtains initial random number according to generating random number list of rules from the second dedicated encrypted storage region
Generate new random number, and enciphering and deciphering algorithm selected according to enciphering and deciphering algorithm selective listing, by new random number, selection plus
Decipherment algorithm instructs automatic Pilot and the unique identifier of mobile terminal encrypts, and encrypted information is sent
To the onboard system of vehicle；
Onboard system by from the first dedicated encrypted storage region initial random number, generating random number list of rules and
Enciphering and deciphering algorithm selects list of rules to generate the enciphering and deciphering algorithm for the random number of decryption and for decryption, according to for solving
Close random number and for decryption enciphering and deciphering algorithm to encrypted information be decrypted to obtain automatic Pilot instruction and
The unique identifier of mobile terminal；The legitimacy of automatic Pilot instruction is judged according to identification marking.
By implementing the present embodiment, other illegal users are because random number plus solution can not be grabbed from network transmission process
Close algorithm ensure that the safety of encryption, avoid the defect that vehicle is illegally controlled during remotely control automatic Pilot.
It is prevented in the method flooded in the vehicle of the present invention based on Internet of Things big data technology,
By pedestrian track judgment models to before pedestrian's mobile route is predicted on route or travel by vehicle further include:
Setting updates coefficient g, video image is divided into rectangular block, the rectangular block has m*r block；Adjacent rectangle is set
The matrix weight sequence matrix E (k) of block={ σp,q(k) }, (p=1,2...m), (q=1,2...r), σp,qIt (k) is k moment square
The weight of shape block；Obtain weight mean valueAnd judge σp,q (k)Whether it is less thanWith update coefficient g product, if small
In then by the σp,q (k)Value retains, and otherwise removes the σp,q (k)Value.
By implementing the present embodiment, link is compared by setting weight mean value, can be removed because of video caused by rainfall
The interference of Object identifying in frame, improves the precision of identification.
The present invention also provides a kind of vehicles based on Internet of Things big data technology to prevent the system flooded comprising such as places an order
Member:
Altitude information acquiring unit, for obtaining default geography from weather forecast server in advance by central server
Altitude information is ranked up by the altitude information in range according to from high to low；
Grade classification unit, for being believed by central server from the road obtained in navigation positioning system in geographic range
Each parking location information in breath and geographic range；Central server is according to precipitation value, precipitation in the unit time over the years
Duration and the parking lot accumulated water situation of the same period, road waterlogging situation generate the secure parking alternative area of different safety class；
Correspondence relationship establishing unit, for obtaining parking lot information in secure parking alternative area by central server,
The parking lot information includes parking location information, cost information；And parking lot information is established based on precipitation safety allowance
With the corresponding relationship of precipitation event；
Vehicle stops field and selectes unit, for being obtained in the following preset time by central server according to weather forecast server
Precipitation event information, and according to pair of precipitation event information and parking lot information and precipitation event in the following preset time
It should be related to and select alternative parking lot；
Alternative parking lot information and parking position information are pushed to vehicle for central server by information push unit
The mobile terminal of user；
Information receiving unit, the position for being sent by receiving vehicle by navigation positioning system by central server
Information；
Navigation information unit, for generating the navigation of current vehicle position to each alternative parking lot by central server
Route information, predicted travel duration information and cost information will be sent to the mobile terminal of user；
Payment unit, for sending parking lot clothes for the pre-paid information and license board information of user by mobile terminal
Business device；
Start unit is locked on ground, predetermined for locking open command with issuing control by parking lot server and starting parking lot
Lock to berth；
Indoor navigation unit generates Entrance to predetermined for numbering by parking lot server according to predetermined berth
The indoor navigation information in berth, and send indoor navigation information to the onboard system of vehicle；
Vehicle recognition unit, for when vehicle reaches Entrance, parking lot server to be believed by received license plate
Breath identifies vehicle, opens parking lot gate inhibition after identifying successfully；
Positioning unit, for obtaining location information of the vehicle in parking lot in real time by parking lot server；
Closing unit is locked on ground, is closed in regional scope for judging that vehicle driving is locked to ground by parking lot server, such as
It is that parking lot server is locked out code and locked with closing the predetermined berth in parking lot with issuing control.
Advantageous effects: it is of the invention compared with the existing technology, can shift to an earlier date and be shifted to an earlier date according to weather warning information
Early warning, and make a reservation for the parking lot of safety, it is disposed in advance, prevents vehicle from being flooded.
The simple place of system embodiment may refer to embodiment of the method.The place of embodiment of the method extension can be used for
System embodiment.
Each embodiment in this specification is described in a progressive manner, the highlights of each of the examples are with other
The difference of embodiment, the same or similar parts in each embodiment may refer to each other.
It is understood that for those of ordinary skill in the art, can do in accordance with the technical idea of the present invention
Various other changes and modifications out, and all these changes and deformation all should belong to the protection model of the claims in the present invention
It encloses.
Claims (8)
1. a kind of vehicle based on Internet of Things big data technology prevents the method flooded, which is characterized in that it includes the following steps:
From the altitude information obtained in default geographic range in weather forecast server, height above sea level is believed in advance for S1, central server
Breath is ranked up according to from high to low；
S2, central server from navigation positioning system obtain geographic range in road information and geographic range in it is each
Parking location information；Central server is according to precipitation value in the unit time over the years and precipitation duration and the parking lot stain of the same period
Regimen condition and road waterlogging situation generate the secure parking alternative area of different safety class；
S3, central server obtain parking lot information in secure parking alternative area, and the parking lot information includes parking lot position
Confidence breath and cost information；And the corresponding relationship of parking lot information and precipitation event is established based on precipitation safety allowance；
S4, central server obtain the precipitation event information in the following preset time according to weather forecast server, and according to not
The corresponding relationship of the precipitation event information and parking lot information and precipitation event come in preset time selectes alternative parking lot；
Alternative parking lot information and parking position information are pushed to the mobile terminal of vehicle user by S5, central server；
The location information that S6, central server are sent by receiving vehicle by navigation positioning system；
S7, central server generate navigation routine information, predicted travel duration of the current vehicle position to each alternative parking lot
Information and cost information will be sent to the mobile terminal of user；
The pre-paid information and license board information of user are sent parking lot server by S8, mobile terminal；
S9, parking lot server issue control ground lock open command and lock with starting the predetermined berth in parking lot；
S10, parking lot server number the indoor navigation information for generating Entrance to predetermined berth according to predetermined berth, and
Send indoor navigation information to the onboard system of vehicle；
S11, vehicle reach Entrance when, parking lot server identifies vehicle by received license board information,
Parking lot gate inhibition is opened after identifying successfully；
S12, parking lot server obtain location information of the vehicle in parking lot in real time；
S13, parking lot server judge that vehicle driving is locked to ground and close in regional scope that then parking lot server issues control in this way
The lock out code of system ground is simultaneously locked with closing the predetermined berth in parking lot.
2. the vehicle as described in claim 1 based on Internet of Things big data technology prevents the method flooded, which is characterized in that
After the step S6 further include:
S61a, configured in vehicle on-board system user mobile terminal unique identifier, the identification marking is for knowing
Other mobile terminal sends the legitimacy of instruction；The driving mode of acquisition for mobile terminal user selects information, when for the first kind,
Jump to step S62a；When for Second Type, step S63a is jumped to；When for third type, S64a is jumped to；It is being
When four types, step S65a is jumped to；
S62a, the first kind are automatic driving mode, and mobile terminal sends automatic Pilot instruction in the onboard system of vehicle, vehicle
Onboard system parse the unique identifier of mobile terminal from automatic Pilot instruction, judged according to identification marking automatic
The legitimacy of steering instructions executes step S7 and later step by rear sequence in judgement；
It is corresponding, after the step S10 further include: vehicle is according to the navigation routine information in selected parking lot by driving automatically
The mode of sailing is sailed to Entrance；During automatic Pilot, vehicle position information is sent and is projected in real time by onboard system
On the mobile terminal of user；
Correspondingly, the step S12 further include: vehicle is driven according to indoor navigation information；
Correspondingly, the step S13 further include: the onboard system of vehicle starts automatic parking function, drives into predetermined berth, and tie
Beam；
S63a, Second Type are user's driving mode, jump to step S7；
S64a, third type are sharing model, and user is according to customer relationship network, by mobile terminal by alternative parking lot information
It is pushed to the user terminal of other staff in customer relationship network, and is terminated；
S65a, the 4th type are other users driving mode, and the mobile terminal of user will change that information of mobile terminal is received to ask
It asks information to be sent to central server to be modified, and jumps to step S7.
3. the vehicle as described in claim 1 based on Internet of Things big data technology prevents the method flooded, which is characterized in that
After the step S6 further include:
S61b, central server obtain on vehicle location and all navigation routines in each alternative parking lot whether occur stain simultaneously
Water is more than that the situation of safety traffic depth jumps to step S7 when not occurring simultaneously；Otherwise step S62b is jumped to；
S62b, central server send emergency information to custom system terminal；
The support component of vehicle bottom is arranged in S63b, onboard system control starting, and automobile body increase and be gone forward side by side by control
Row locking；And default trailer is sued and laboured into information and location information is sent to car insurance corporate server；
S64b, onboard system obtain vehicle apposition water depth information in real time；Judge whether depth of accumulated water information is more than vehicle safety depth
Angle value；When depth of accumulated water is more than safety depth value, step S65b is jumped to；Vehicle safety depth value is less than in depth of accumulated water
When, jump to step S66b；
S65b, onboard system carry out locking to vehicle starting system, and cut off all power supplys of vehicle；
Whether it is more than pre-set velocity that S66b, onboard system judge that depth of accumulated water value is increased speed, and jumps to step when being more than
S65b；Step S64b is jumped to when being less than.
4. the vehicle as claimed in claim 2 based on Internet of Things big data technology prevents the method flooded, which is characterized in that
The step of vehicle is sailed by automatic driving mode to Entrance according to the navigation routine information in selected parking lot
Include:
Obtain minimum speed-limiting messages and Maximum speed limit information on navigation routine；Believed by minimum speed-limiting messages and Maximum speed limit
Breath and the wagon flow on running section, people information carry out speed control；
Pedestrian track judgment models are pre-established, by pedestrian track judgment models to pedestrian's mobile route on route or travel by vehicle
It is predicted；Judge whether vehicle early warning situation occur by prediction result；When there is vehicle early warning situation, onboard system control
Brake system processed takes the mode for reducing or temporarily ceasing driving vehicle to preset time to carry out hedging；
Wherein, the pedestrian track judgment models are implemented as follows:
Define gait motion vector: Xk=(xk,yk,sk,ck,ak,bk), wherein 6 values successively respectively indicate in gait motion vector
X coordinate, the y by the pedestrian target of onboard sensor acquisition in video image that k moment onboard system obtains in traveling are sat
Mark, scale value, swing, transverse and longitudinal ratio, inclination angle；
Define pedestrian's tendency model: Xk=Xk-1+Wk, wherein column vector WkIndicate that mean value is 0, variance is diagonal matrixGaussian random parameter；
K=0 is enabled, initial video frame is chosen and compares target X0, calculate the initial dynamic space model of initial video frame control target
Z0；According to prior distribution P (X0) establish initial testing collectionI is less than or equal to N；
The weight of predictive factor is concentrated according to initial testingFrom t moment test setAgain N number of prediction is extracted
The factor, as new initial testing collection
The new state of predictive factor is predicted by new initial testing collection, and by initial dynamic space model Z0Calculate predictive factor
Weight, obtain t+1 moment test set
According to new initial testing collectionAnd t+1 moment test setMean value balance is carried out to change
Generation, and dissipated after iteration according to preset value, after iterating to predetermined number of times, pass through initial dynamic space model Z0It calculates
The new weight of new predictive factor, obtains the test set at k+1 moment
To the test set at k+1 momentPass through the newest pedestrian movement's trend state of calculated with weighted average method target；
Enable k=k+1, repeat choose initial video frame compare target to later the step of, there is pedestrian movement's trend shape
When state is consistent with default early warning trend, there is vehicle early warning situation in determination.
5. the vehicle as described in claim 1 based on Internet of Things big data technology prevents the method flooded, which is characterized in that
The step S1 includes: central server in advance from the height above sea level letter obtained in default geographic range in weather forecast server
Breath establishes the geographical coordinate point one-to-one relationship in altitude information and geographic range；
Correspondingly, the step S2 includes:
Central server each stops from the road information obtained in geographic range in navigation positioning system and in geographic range
Parking lot location information；
Altitude information is added to ground by the geographical coordinate point one-to-one relationship in step S1 intermediate altitude information and geographic range
It manages in the road information in range and each parking location information in geographic range, generates parking lot geographic distribution letter
Breath；The geographic distribution information include each parking lot altitude information and to parking lot each road in different drops
Available information in the case of water inventory；
Central server obtains precipitation value and precipitation duration and the parking lot accumulated water situation and road of the same period in the unit time over the years
The available information of road accumulated water situation, the altitude information to each parking lot and each road to parking lot is modified, and is obtained
To parking alternative area；
Parking alternative area is classified to obtain the secure parking alternative area of different safety class according to accumulated water risk.
6. the vehicle as claimed in claim 2 based on Internet of Things big data technology prevents the method flooded, which is characterized in that
The unique identifier of the mobile terminal of user, the identification mark are configured in the step S61a in vehicle on-board system
Knowing the legitimacy that mobile terminal transmission instructs for identification includes:
Initial random number, generating random number list of rules, enciphering and deciphering algorithm selection list of rules are configured to vehicle on-board offline
In the second dedicated encrypted storage region in the first dedicated encrypted storage region and user terminal of system；
Correspondingly, the first kind is automatic driving mode in the step S62a, mobile terminal sends automatic Pilot instruction to
The onboard system of vehicle, the onboard system of vehicle parse the unique identifier of mobile terminal, root from automatic Pilot instruction
Include: according to the legitimacy that identification marking judges that automatic Pilot instructs
Mobile terminal obtains initial random number from the second dedicated encrypted storage region and is generated according to generating random number list of rules
New random number, and enciphering and deciphering algorithm is selected according to enciphering and deciphering algorithm selective listing, pass through new random number, the encryption and decryption of selection
Algorithm instructs automatic Pilot and the unique identifier of mobile terminal encrypts, and sends vehicle for encrypted information
Onboard system；
Onboard system is by initial random number, generating random number list of rules from the first dedicated encrypted storage region and adds solution
Close algorithms selection list of rules generates the enciphering and deciphering algorithm for the random number of decryption and for decryption, according to for decryption
Random number and enciphering and deciphering algorithm for decryption are decrypted to obtain automatic Pilot instruction and mobile to encrypted information
The unique identifier of terminal；The legitimacy of automatic Pilot instruction is judged according to identification marking.
7. the vehicle as claimed in claim 4 based on Internet of Things big data technology prevents the method flooded, which is characterized in that
By pedestrian track judgment models to before pedestrian's mobile route is predicted on route or travel by vehicle further include:
Setting updates coefficient g, video image is divided into rectangular block, the rectangular block has m*r block；Adjacent rectangle block is set
Matrix weight sequence matrix E (k)={ σp,q(k) }, (p=1,2...m), (q=1,2...r), σp,qIt (k) is k moment rectangular block
Weight；Obtain weight mean valueAnd judge σp,q(k) whether it is less thanWith update coefficient g product, if it is less than
Then by the σp,q(k) value retains, and otherwise removes the σp,q(k) value.
8. a kind of vehicle based on Internet of Things big data technology prevents the system flooded, which is characterized in that it includes such as lower unit:
Altitude information acquiring unit, for obtaining default geographic range from weather forecast server in advance by central server
Altitude information is ranked up by interior altitude information according to from high to low；
Grade classification unit, for by central server from navigation positioning system obtain geographic range in road information with
And each parking location information in geographic range；Central server is according to precipitation value in the unit time over the years and precipitation duration
And the parking lot accumulated water situation and road waterlogging situation of the same period generates the secure parking alternative area of different safety class；
Correspondence relationship establishing unit, it is described for obtaining parking lot information in secure parking alternative area by central server
Parking lot information includes parking location information and cost information；And parking lot information and drop are established based on precipitation safety allowance
The corresponding relationship of regimen condition；
Vehicle stops field and selectes unit, for obtaining the drop in the following preset time according to weather forecast server by central server
Regimen condition information, and according in the following preset time precipitation event information and parking lot information it is corresponding with precipitation event close
System selectes alternative parking lot；
Alternative parking lot information and parking position information are pushed to vehicle user for central server by information push unit
Mobile terminal；
Information receiving unit, for being believed by receiving vehicle by the position that navigation positioning system is sent by central server
Breath；
Navigation information unit, for generating the navigation routine of current vehicle position to each alternative parking lot by central server
Information, predicted travel duration information and cost information will be sent to the mobile terminal of user；
Payment unit, for sending parking lot service for the pre-paid information and license board information of user by mobile terminal
Device；
Start unit is locked on ground, for locking open command with issuing control by parking lot server and starting the predetermined berth in parking lot
Ground lock；
Indoor navigation unit generates Entrance to predetermined berth for numbering by parking lot server according to predetermined berth
Indoor navigation information, and send indoor navigation information to the onboard system of vehicle；
Vehicle recognition unit, for when vehicle reaches Entrance, parking lot server to pass through received license board information pair
Vehicle is identified, opens parking lot gate inhibition after identifying successfully；
Positioning unit, for obtaining location information of the vehicle in parking lot in real time by parking lot server；
Closing unit is locked on ground, is closed in regional scope for judging that vehicle driving is locked to ground by parking lot server, in this way then
Parking lot server issues the lock out code of control ground and locks with closing the predetermined berth in parking lot.
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| CN107256642A (en) * | 2017-08-18 | 2017-10-17 | 苏州巴吉特信息咨询有限公司 | A kind of campus parking space management system |
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| JP6605055B2 (en) * | 2018-01-24 | 2019-11-13 | 本田技研工業株式会社 | Self-driving vehicle and vehicle evacuation system |
| CN108257358A (en) * | 2018-01-26 | 2018-07-06 | 谢永航 | A kind of automobile of predictability prevents water leaching alarm system |
| CN108198448A (en) * | 2018-01-26 | 2018-06-22 | 济南浪潮高新科技投资发展有限公司 | A kind of vehicle is got rid of poverty system and method |
| CN111231665A (en) * | 2018-03-19 | 2020-06-05 | 陈城 | System with automobile wading early warning and rescue functions based on machine learning |
| JP6962865B2 (en) * | 2018-05-30 | 2021-11-05 | 本田技研工業株式会社 | Self-driving vehicle |
| CN108944764B (en) * | 2018-07-12 | 2021-07-23 | 魏德英 | Early warning and rescue system for automobile wading |
| CN108928312A (en) * | 2018-07-12 | 2018-12-04 | 王帅 | A kind of intelligentized automobile wading alarming processing system |
| CN109050249A (en) * | 2018-07-17 | 2018-12-21 | 曹丽丽 | A kind of intelligentized automobile wading emergent treatment system |
| CN109448410A (en) * | 2018-09-26 | 2019-03-08 | 华为技术有限公司 | A kind of information processing method, server and intelligent mobile robot |
| CN111353669A (en) * | 2018-12-21 | 2020-06-30 | 北京宝沃汽车有限公司 | Server, vehicle and parking risk identification method and device thereof |
| CN109910809A (en) * | 2019-03-22 | 2019-06-21 | 武汉华夏理工学院 | A kind of automobile soak-preventing alarming processing system and early-warning processing method |
| CN111275929A (en) * | 2020-01-21 | 2020-06-12 | 东风小康汽车有限公司重庆分公司 | Vehicle overtopping early warning method, device and system |
| CN111724620A (en) * | 2020-06-23 | 2020-09-29 | 韶关市启之信息技术有限公司 | Shared parking emergency processing method and system |
| CN112164244B (en) * | 2020-09-29 | 2021-12-17 | 长城汽车股份有限公司 | Parking control method and device |
| CN113954875B (en) * | 2021-11-03 | 2023-09-15 | 东风汽车集团股份有限公司 | Intelligent automobile flooding prevention method and system |
| CN115150463B (en) * | 2022-09-05 | 2022-11-29 | 广东广宇科技发展有限公司 | Smart city waterlogging information pushing method and device, electronic equipment and storage medium |
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