CN106920416A - 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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- 238000000034 method Methods 0.000 title claims abstract description 32
- 238000001556 precipitation Methods 0.000 claims abstract description 57
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims abstract description 39
- 238000013101 initial test Methods 0.000 claims description 15
- 230000033001 locomotion Effects 0.000 claims description 14
- 238000012360 testing method Methods 0.000 claims description 13
- 239000011159 matrix material Substances 0.000 claims description 9
- 230000008859 change Effects 0.000 claims description 7
- 230000005021 gait Effects 0.000 claims description 6
- 230000005764 inhibitory process Effects 0.000 claims description 6
- 230000009467 reduction Effects 0.000 claims description 3
- 238000012353 t test Methods 0.000 claims description 3
- 230000000630 rising effect Effects 0.000 claims 1
- 230000007547 defect Effects 0.000 description 4
- 230000000694 effects Effects 0.000 description 2
- 238000013473 artificial intelligence Methods 0.000 description 1
- 230000008901 benefit Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 230000001771 impaired effect Effects 0.000 description 1
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- 230000000750 progressive effect Effects 0.000 description 1
- 238000012827 research and development Methods 0.000 description 1
Classifications
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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
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- 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
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- 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
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- 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
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- 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
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Abstract
A kind of vehicle based on Internet of Things big data technology prevents the method flooded, and it comprises the following steps：S1, central server obtain the altitude information in default geographic range from weather forecast server in advance, and altitude information is ranked up according to from high to low；S2, central server obtain each parking location information in road information and geographic range in geographic range from navigation positioning system；Central server generates the emergency 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 interval over the years；S3, central server obtain parking lot information in emergency alternative area, and the parking lot information includes parking location information, cost information；And the corresponding relation of parking lot information and precipitation event is set up based on precipitation safety allowance；S4, central server obtain the precipitation event information in following Preset Time according to weather forecast server.
Description
Technical field
The present invention relates to big data and automobile technical field, more particularly to a kind of vehicle based on Internet of Things big data technology
Prevent the method and system flooded.
Background technology
Autonomous driving vehicle (Autonomous vehicles；Self-piloting automobile) driven also known as nobody
Automobile, computer driving or wheeled mobile robot are sailed, is that one kind realizes unpiloted intelligent vapour by computer system
Car.The research and development of autonomous driving vehicle technology, the history for also having had many decades in 20th century shows close in fact at the beginning of 21 century
With the trend changed, such as, Google's autonomous driving vehicle obtains the first automatic driving vehicle licensing in the U.S. in May, 2012,
It is expected to enter market sale in 2015 to 2017.
Autonomous driving vehicle is closed by the collaboration of artificial intelligence, vision calculating, radar, supervising device and global positioning system
Make, allow computer to operate motor vehicles under the operation of nobody class active automatic safe.Under in 12 months 2014
In ten days, Google's rollout automatic Pilot prototype vehicle finished product, the car can global function operation.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 change, urban waterlogging is also increasingly severe, once vehicle is by water logging, gently then in-car interior trim water inlet meets with
It is damaged, heavy then water inflow of the engine, vehicle electronics master control system are impaired to cause vehicle scrapping.Especially for user in vehicle
When parking the strange land on ground, it is impossible to which timely mobile vehicle, to user save oneself causes very big obstacle.
The content of the invention
In view of this, the present invention provides a kind of vehicle based on Internet of Things big data technology and prevents the method flooded and be
System.
A kind of vehicle based on Internet of Things big data technology prevents the method flooded, and it comprises the following steps：
S1, central server obtain the altitude information in default geographic range from weather forecast server in advance, by sea
Information is pulled out to be ranked up according to from high to low；
S2, central server are obtained in road information and geographic range in geographic range from navigation positioning system
Each parking location information；Parking of the central server according to precipitation value, precipitation duration and the same period in the unit interval over the years
Accumulated water situation, road waterlogging situation generate the emergency alternative area of different safety class；
S3, central server obtain parking lot information in emergency alternative area, and the parking lot information includes parking
Field positional information, cost information；And the corresponding relation of parking lot information and precipitation event is set up based on precipitation safety allowance；
S4, central server obtain the precipitation event information in following Preset Time, and root according to weather forecast server
According to the selected alternative parking of the corresponding relation of the precipitation event information and parking lot information in following Preset Time and precipitation event
；
S5, central server are by the mobile end of alternative parking lot information and parking position information pushing to vehicle user
End；
S6, central server are by receiving the positional information that vehicle is sent by navigation positioning system；
S7, central server generate navigation way information, the predicted travel of current vehicle position to each alternative parking lot
Duration information and cost information, will send the mobile terminal to user；
The pre-paid information and license board information of user are sent to parking lot server by S8, mobile terminal；
S9, parking lot server are locked open command and are locked with starting the predetermined berth in parking lot with sending control；
S10, parking lot server are believed according to predetermined berth numbering generation Entrance to the indoor navigation in predetermined berth
Breath, and indoor navigation information is sent to the onboard system of vehicle；
S11, vehicle reach Entrance when, parking lot server by reception license board information vehicle is known
Not, parking lot gate inhibition is opened after recognizing successfully；
S12, parking lot server obtain location information of the vehicle in parking lot in real time；
S13, parking lot server judge that vehicle is locked in closing regional extent with driving to, and then parking lot server is sent out in this way
Lock out code and lock with closing the predetermined berth in parking lot with going out control.
In the vehicle based on Internet of Things big data technology of the present invention prevents the method flooded,
Also include after the step S6：
S61a, configure 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 model selection information of acquisition for mobile terminal user, is being the first kind
During type, step S62a is jumped to；When for Second Type, step S63a is jumped to；When for three types, S64a is jumped to；
When for four types, step S65a is jumped to；
S62a, the first kind are automatic driving mode, and automatic Pilot instruction is sent to mobile terminal the vehicle-mounted system of vehicle
System, the onboard system of vehicle parses the unique identifier of mobile terminal from automatic Pilot instruction, is sentenced according to identification marking
The legitimacy of disconnected automatic Pilot instruction, is judging to perform step S7 and afterwards step by rear order；
Corresponding, the step S10 also includes afterwards：Vehicle passes through certainly according to the navigation way information in selected parking lot
Dynamic driving model is sailed to Entrance；During automatic Pilot, vehicle position information is sent and thrown by onboard system in real time
It is mapped on the mobile terminal of user；
Accordingly, also include in the step S12：Vehicle is driven according to indoor navigation information；
Accordingly, the step S13 also includes：The onboard system of vehicle starts automatic parking function, sails predetermined berth into,
And terminate；
S63a, Second Type are user's driving model, jump to step S7；
S64a, the 3rd type are sharing model, user according to customer relationship network, by mobile terminal by alternative parking lot
Information pushing and terminates to the user terminal of other staff in customer relationship network；
S65a, the 4th type are other users driving model, 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 the vehicle based on Internet of Things big data technology of the present invention prevents the method flooded,
Also include after the step S6：
Whether S61b, central server obtain and go out simultaneously on all navigation ways in vehicle location and each alternative parking lot
Existing accumulated water exceedes the situation of safety traffic depth, when not occurring simultaneously, jumps to step S7；Otherwise jump to step S62b；
S62b, central server send emergency information to custom system terminal；
S63b, onboard system control start the support component for being arranged on vehicle bottom, and control is raised automobile body
And carry out locking；And sue and labour information, location information of default trailer is sent to car insurance corporate server；
S64b, onboard system obtain car apposition water depth information in real time；Judge whether depth of accumulated water information pacifies more than vehicle
Full depth value；When depth of accumulated water exceedes safety depth value, step S65b is jumped to；In depth of accumulated water not less than vehicle safety depth
During 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；
S66b, onboard system judge depth of accumulated water value gather way whether exceed pre-set velocity, more than when jump to step
Rapid S65b；Not less than when jump to step S64b.
In the vehicle based on Internet of Things big data technology of the present invention prevents the method flooded,
The vehicle is sailed into Entrance according to the navigation way information in selected parking lot by automatic driving mode
Also include：
Obtain minimum speed-limiting messages and Maximum speed limit information on navigation way；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-build, pedestrian on route or travel by vehicle is moved by pedestrian track judgment models
Route is predicted；Judge whether vehicle early warning situation occur by predicting the outcome；When there is vehicle early warning situation, vehicle-mounted system
System control brake system takes reduction or temporarily ceases driving vehicle to the mode of Preset Time carries 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 divided successively in gait motion vector
The x by the pedestrian target of onboard sensor collection in video image that k moment onboard system is obtained in Biao Shi not travelling sits
Mark, y-coordinate, scale value, swing, transverse and longitudinal ratio, inclination angle；
Define pedestrian's tendency model：Xk=Xk-1+Wk, wherein column vector WkRepresent that average is that 0, variance is diagonal matrixGaussian random parameter；
K=0 is made, initial video frame control target X is chosen0, calculate the initial dynamic space that initial video frame compares target
Model Z0；According to prior distribution P (X0) set up initial testing collectionI is less than or equal to N；
The weights of predictive factor are concentrated according to initial testingFrom t test setAgain extract 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 weights of the factor, obtain t+1 moment test sets
According to new initial testing collectionAnd t+1 moment test setsCarry out average balance
Iteration, and dissipated according to preset value after iteration, after predetermined number of times is iterated to, by initial dynamic space model Z0Meter
The new weights of new predictive factor are calculated, the test set at k+1 moment is obtained
To the test set at k+1 momentBy the newest pedestrian movement's trend shape of calculated with weighted average method target
State；
K=k+1 is made, the step of choosing initial video frame control target after is repeated, become there is pedestrian movement
When gesture state is consistent with default early warning trend, it is determined that there is vehicle early warning situation.
In the vehicle based on Internet of Things big data technology of the present invention prevents the method flooded,
The step S1 includes：Central server obtains the sea in default geographic range from weather forecast server in advance
Information is pulled out, the geographical coordinate point one-to-one relationship set up in altitude information and geographic range；
Accordingly, the step S2 includes：
Central server obtains each in road information and geographic range in geographic range from navigation positioning system
Individual parking location information；
Is superimposed for altitude information with the geographical coordinate point one-to-one relationship in geographic range by step S1 intermediate altitudes information
In each parking location information in road information and geographic range in geographic range, parking lot geographical distribution is generated
Figure information；The altitude information of the geographic distribution information including each parking lot and to parking lot each bar road not
With available information in the case of the total precipitation；
Central server obtain precipitation value, precipitation duration and the same period in unit interval over the years parking lot accumulated water situation,
The available information of road waterlogging situation, the altitude information to each parking lot and each bar road to parking lot is modified,
Obtain alternative area of stopping；
Parking alternative area is carried out being classified the emergency alternative area for obtaining different safety class according to accumulated water risk.
In the vehicle based on Internet of Things big data technology of the present invention prevents the method flooded,
The unique identifier of the mobile terminal of user, the knowledge are configured in the step S61a in vehicle on-board system
Do not identify includes for recognizing that mobile terminal sends the legitimacy for instructing：
It is offline that initial random number, generating random number list of rules, enciphering and deciphering algorithm selection list of rules are configured to vehicle
In the second dedicated encrypted storage region in the first dedicated encrypted storage region and user terminal of onboard system；
Accordingly, the first kind is automatic driving mode in the step S62a, and automatic Pilot is instructed and sent out by mobile terminal
The onboard system of vehicle is sent to, the onboard system of vehicle parses the unique identification mark of mobile terminal from automatic Pilot instruction
Know, judge that the legitimacy that automatic Pilot is instructed includes according to identification marking：
Mobile terminal obtains initial random number according to generating random number list of rules from the second dedicated encrypted storage region
The new random number of generation, and enciphering and deciphering algorithm is selected according to enciphering and deciphering algorithm selective listing, by new random number, selection plus
Decipherment algorithm is instructed to automatic Pilot and the unique identifier of mobile terminal is encrypted, and the information after encryption is sent
To the onboard system of vehicle；
Onboard system by the initial random number from the first dedicated encrypted storage region, generating random number list of rules and
Enciphering and deciphering algorithm selection list of rules generates the random number for decrypting and the enciphering and deciphering algorithm for decrypting, according to for solving
Close random number and the enciphering and deciphering algorithm for decrypting the information after encryption is decrypted obtain automatic Pilot instruction and
The unique identifier of mobile terminal；The legitimacy that automatic Pilot is instructed is judged according to identification marking.
In the vehicle based on Internet of Things big data technology of the present invention prevents the method flooded,
Pedestrian on route or travel by vehicle is moved before route is predicted by pedestrian track judgment models also included：
Set and update coefficient g, video image is divided into rectangular block, the rectangular block has m*r blocks；Adjacent rectangle is set
Matrix weights sequence matrix E (k) of block={ σp,q(k) }, (p=1,2...m), (q=1,2...r), σp,qK () is k moment squares
The weights of shape block；Obtain weights averageAnd judge σp,qWhether k () be less thanWith the product for updating coefficient g, if
Less than then by the σp,qK () value retains, otherwise remove the σp,q(k) value.
The present invention also provides a kind of vehicle based on Internet of Things big data technology prevents the system flooded, and it includes such as placing an order
Unit：
Altitude information acquiring unit, for obtaining default geography from weather forecast server in advance by central server
In the range of altitude information, altitude information is ranked up according to from high to low；
Grade classification unit, for obtaining the letter of the road in geographic range from navigation positioning system by central server
Each parking location information in breath and geographic range；Central server is according to precipitation value, precipitation in the unit interval over the years
The parking lot accumulated water situation of duration and the same period, road waterlogging situation generate the emergency alternative area of different safety class；
Corresponding relation sets up unit, for obtaining parking lot information in emergency alternative area by central server,
The parking lot information includes parking location information, cost information；And parking lot information is set up based on precipitation safety allowance
With the corresponding relation of precipitation event；
Car stops the selected unit in field, for being obtained in following Preset Time according to weather forecast server by central server
Precipitation event information, it is and right with precipitation event according to the precipitation event information and parking lot information in following Preset Time
Selected alternative parking lot should be related to；
Information pushing unit, for central server by alternative parking lot information and parking position information pushing to vehicle
The mobile terminal of user；
Information receiving unit, for by central server by receiving the position that vehicle is sent by navigation positioning system
Information；
Navigation information unit, the navigation for generating current vehicle position to each alternative parking lot by central server
Route information, predicted travel duration information and cost information, will send the mobile terminal to user；
Payment unit, takes for the pre-paid information and license board information of user to be sent into parking lot by mobile terminal
Business device；
Ground lock start unit, makes a reservation for for locking open command with sending control and starting parking lot by parking lot server
Berth ground lock；
Indoor navigation unit, for numbering generation Entrance to predetermined according to predetermined berth by parking lot server
The indoor navigation information in berth, and indoor navigation information is sent to the onboard system of vehicle；
Vehicle recognition unit, for when vehicle reaches Entrance, parking lot server to be believed by the car plate for receiving
Breath is identified to vehicle, and parking lot gate inhibition is opened after recognizing successfully；
Positioning unit, for obtaining location information of the vehicle in parking lot in real time by parking lot server；
Ground lock closing unit, for judging that vehicle is locked in closing regional extent with driving to 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 sending control.
Advantageous Effects：It is of the invention relative to prior art, 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, be disposed in advance, prevent vehicle from being flooded.
Brief description of the drawings
Fig. 1 is the system architecture frame that the vehicle based on Internet of Things big data technology provided in an embodiment of the present invention prevents from being flooded
Figure.
Specific embodiment
In embodiments of the present invention, a kind of vehicle based on Internet of Things big data technology prevents the method flooded, and it includes
Following steps：
S1, central server obtain the altitude information in default geographic range from weather forecast server in advance, by sea
Information is pulled out to be ranked up according to from high to low.
All navigation products on the market only include the whether unimpeded prediction of road congestion information, future trajectory at present
, be not combined together for altitude information by information.
S2, central server are obtained in road information and geographic range in geographic range from navigation positioning system
Each parking location information；Parking of the central server according to precipitation value, precipitation duration and the same period in the unit interval over the years
Accumulated water situation, road waterlogging situation generate the emergency alternative area of different safety class.
The meaning of this step is that existing navigation product first is without altitude information, in the environment of urban waterlogging, nothing
The method very first time obtains parking where is compared security information.And this step combines precipitation value in the unit interval over the years, drop
The parking lot accumulated water situation of water duration and the same period, road waterlogging situation, can according to these information in step S1 it is simple according to
Bad altitude information cannot react exactly a parking lot whether safety limitation.Additionally, the parking lot accumulated water situation for obtaining,
Road waterlogging situation can also reflect reach parking lot by property information, some parking lots are very safe in itself, but cannot
Easily by the defect of vehicle drive to destination.
The one big advantage of this step is, because the vehicle parking information of user cannot be known in advance, in the short time
In the case that interior rainfall is larger, it is impossible to promptly with reference to the position of vehicle itself, and road passes through property, parking lot security
Information is linked, and quickly finds secure parking area.
S3, central server obtain parking lot information in emergency alternative area, and the parking lot information includes parking
Field positional information, cost information；And the corresponding relation of parking lot information and precipitation event is set up based on precipitation safety allowance；
In the big city that current parking position is nervous, although some parking lots are safe, but Parking Fee but compares
Higher, user is if only using security, used as uniquely standard is considered, economy is not high.Therefore this step combines parking lot
Cost information；It is to overcome the precipitation event information in following Preset Time possible additionally, setting precipitation safety allowance
There is the defect of deviation.
S4, central server obtain the precipitation event information in following Preset Time, and root according to weather forecast server
According to the selected alternative parking of the corresponding relation of the precipitation event information and parking lot information in following Preset Time and precipitation event
；
S5, central server are by the mobile end of alternative parking lot information and parking position information pushing to vehicle user
End；
S6, central server are by receiving the positional information that vehicle is sent by navigation positioning system；
S7, central server generate navigation way information, the predicted travel of current vehicle position to each alternative parking lot
Duration information and cost information, will send the mobile terminal to user；
The pre-paid information and license board information of user are sent to parking lot server by S8, mobile terminal；
Because in the case where that urban waterlogging may occur, parking stall is more nervous, therefore by carrying out the behavior of pre-paid,
The parking stall in parking lot can be subscribed, it is to avoid during parking lot is gone to, the situation that parking stall changes occurs.
S9, parking lot server are locked open command and are locked with starting the predetermined berth in parking lot with sending control；
S10, parking lot server are believed according to predetermined berth numbering generation Entrance to the indoor navigation in predetermined berth
Breath, and indoor navigation information is sent to the onboard system of vehicle；
S11, vehicle reach Entrance when, parking lot server by reception license board information vehicle is known
Not, parking lot gate inhibition is opened after recognizing successfully；
S12, parking lot server obtain location information of the vehicle in parking lot in real time；
S13, parking lot server judge that vehicle is locked in closing regional extent with driving to, and then parking lot server is sent out in this way
Lock out code and lock with closing the predetermined berth in parking lot with going out control.
By implementation steps S9 to step S13, first can cause that vehicle quickly finds subscribed car in parking lot
Position；Second avoids during vehicle runs over journey in parking lot, and the situation that parking stall is taken by them occurs.
In the vehicle based on Internet of Things big data technology of the present invention prevents the method flooded,
Also include after the step S6：
S61a, configure 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 model selection information of acquisition for mobile terminal user, is being the first kind
During type, step S62a is jumped to；When for Second Type, step S63a is jumped to；When for three types, S64a is jumped to；
When for four types, step S65a is jumped to；
S62a, the first kind are automatic driving mode, and automatic Pilot instruction is sent to mobile terminal the vehicle-mounted system of vehicle
System, the onboard system of vehicle parses the unique identifier of mobile terminal from automatic Pilot instruction, is sentenced according to identification marking
The legitimacy of disconnected automatic Pilot instruction, is judging to perform step S7 and afterwards step by rear order；By implementing this step, energy
The automatic Pilot of vehicle is enough realized, this implementation is not improved in itself to automatic Pilot technology, and this step can realize user
Not beside vehicle, it is impossible to drive vehicle, vehicle cannot move the generation of the defect for causing to be flooded.
Corresponding, the step S10 also includes afterwards：Vehicle passes through certainly according to the navigation way information in selected parking lot
Dynamic driving model is sailed to Entrance；During automatic Pilot, vehicle position information is sent and thrown by onboard system in real time
It is mapped on the mobile terminal of user；By implementing this step, user can be made to grasp the positional information of vehicle in real time.
Accordingly, also include in the step S12：Vehicle is driven according to indoor navigation information；
Accordingly, the step S13 also includes：The onboard system of vehicle starts automatic parking function, sails predetermined berth into,
And terminate；
S63a, Second Type are user's driving model, jump to step S7；
S64a, the 3rd type are sharing model, user according to customer relationship network, by mobile terminal by alternative parking lot
Information pushing and terminates to the user terminal of other staff in customer relationship network；By implementing this step, by alternative parking lot
Information pushing realizes the shared of resource to the user terminal of other staff in customer relationship network, and this situation goes for
User's Iterim Change vehicle travels destination, it is no longer necessary to make a reservation for the situation on the parking stall.
S65a, the 4th type are other users driving model, 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, after change mobile terminal,
Mobile terminal after change is the mobile terminal of the user in subsequent step.
In the vehicle based on Internet of Things big data technology of the present invention prevents the method flooded,
Also include after the step S6：
Whether S61b, central server obtain and go out simultaneously on all navigation ways in vehicle location and each alternative parking lot
Existing accumulated water exceedes the situation of safety traffic depth, when not occurring simultaneously, jumps to step S7；Otherwise jump to step S62b；
Under special circumstances, in very short time, precipitation may be especially big, it is possible to while accumulated water occur exceedes safety traffic depth
Situation.
S62b, central server send emergency information to custom system terminal；
S63b, onboard system control start the support component for being arranged on vehicle bottom, and control is raised automobile body
And carry out locking；And sue and labour information, location information of default trailer is sent to car insurance corporate server；Support component can be with
It is arranged on the place of vehicle support jack.The structure of support component can be electric-controlled hydraulic or other structures, and structure is in itself
It is not the improvement of the embodiment of the present invention.
S64b, onboard system obtain car apposition water depth information in real time；Judge whether depth of accumulated water information pacifies more than vehicle
Full depth value；When depth of accumulated water exceedes safety depth value, step S65b is jumped to；In depth of accumulated water not less than vehicle safety depth
During 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；
S66b, onboard system judge depth of accumulated water value gather way whether exceed pre-set velocity, more than when jump to step
Rapid S65b；Not less than when jump to step S64b.
In the vehicle based on Internet of Things big data technology of the present invention prevents the method flooded,
The vehicle is sailed into Entrance according to the navigation way information in selected parking lot by automatic driving mode
Also include：
Obtain minimum speed-limiting messages and Maximum speed limit information on navigation way；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-build, pedestrian on route or travel by vehicle is moved by pedestrian track judgment models
Route is predicted；Judge whether vehicle early warning situation occur by predicting the outcome；When there is vehicle early warning situation, vehicle-mounted system
System control brake system takes reduction or temporarily ceases driving vehicle to the mode of Preset Time carries out hedging；By implementing this reality
Example is applied, the motion track to pedestrian is predicted, the risk that pedestrian is collided during automatic form 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 divided successively in gait motion vector
The x by the pedestrian target of onboard sensor collection in video image that k moment onboard system is obtained in Biao Shi not travelling sits
Mark, y-coordinate, scale value, swing, transverse and longitudinal ratio, inclination angle；
Define pedestrian's tendency model：Xk=Xk-1+Wk, wherein column vector WkRepresent that average is that 0, variance is diagonal matrixGaussian random parameter；
K=0 is made, initial video frame control target X is chosen0, calculate the initial dynamic space that initial video frame compares target
Model Z0；According to prior distribution P (X0) set up initial testing collectionI is less than or equal to N；
The weights of predictive factor are concentrated according to initial testingFrom t test setAgain extract 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 weights of the factor, obtain t+1 moment test sets
According to new initial testing collectionAnd t+1 moment test setsCarry out average balance
Iteration, and dissipated according to preset value after iteration, after predetermined number of times is iterated to, by initial dynamic space model Z0Meter
The new weights of new predictive factor are calculated, the test set at k+1 moment is obtained
To the test set at k+1 momentBy the newest pedestrian movement's trend shape of calculated with weighted average method target
State；
K=k+1 is made, the step of choosing initial video frame control target after is repeated, become there is pedestrian movement
When gesture state is consistent with default early warning trend, it is determined that there is vehicle early warning situation.
In the vehicle based on Internet of Things big data technology of the present invention prevents the method flooded,
The step S1 includes：Central server obtains the sea in default geographic range from weather forecast server in advance
Information is pulled out, the geographical coordinate point one-to-one relationship set up in altitude information and geographic range；
Accordingly, the step S2 includes：
Central server obtains each in road information and geographic range in geographic range from navigation positioning system
Individual parking location information；
Is superimposed for altitude information with the geographical coordinate point one-to-one relationship in geographic range by step S1 intermediate altitudes information
In each parking location information in road information and geographic range in geographic range, parking lot geographical distribution is generated
Figure information；The altitude information of the geographic distribution information including each parking lot and to parking lot each bar road not
With available information in the case of the total precipitation；
Central server obtain precipitation value, precipitation duration and the same period in unit interval over the years parking lot accumulated water situation,
The available information of road waterlogging situation, the altitude information to each parking lot and each bar road to parking lot is modified,
Obtain alternative area of stopping；
Parking alternative area is carried out being classified the emergency alternative area for obtaining different safety class according to accumulated water risk.
In the vehicle based on Internet of Things big data technology of the present invention prevents the method flooded,
The unique identifier of the mobile terminal of user, the knowledge are configured in the step S61a in vehicle on-board system
Do not identify includes for recognizing that mobile terminal sends the legitimacy for instructing：
It is offline that initial random number, generating random number list of rules, enciphering and deciphering algorithm selection list of rules are configured to vehicle
In the second dedicated encrypted storage region in the first dedicated encrypted storage region and user terminal of onboard system；
Accordingly, the first kind is automatic driving mode in the step S62a, and automatic Pilot is instructed and sent out by mobile terminal
The onboard system of vehicle is sent to, the onboard system of vehicle parses the unique identification mark of mobile terminal from automatic Pilot instruction
Know, judge that the legitimacy that automatic Pilot is instructed includes according to identification marking：
Mobile terminal obtains initial random number according to generating random number list of rules from the second dedicated encrypted storage region
The new random number of generation, and enciphering and deciphering algorithm is selected according to enciphering and deciphering algorithm selective listing, by new random number, selection plus
Decipherment algorithm is instructed to automatic Pilot and the unique identifier of mobile terminal is encrypted, and the information after encryption is sent
To the onboard system of vehicle；
Onboard system by the initial random number from the first dedicated encrypted storage region, generating random number list of rules and
Enciphering and deciphering algorithm selection list of rules generates the random number for decrypting and the enciphering and deciphering algorithm for decrypting, according to for solving
Close random number and the enciphering and deciphering algorithm for decrypting the information after encryption is decrypted obtain automatic Pilot instruction and
The unique identifier of mobile terminal；The legitimacy that automatic Pilot is instructed is judged according to identification marking.
By implementing the present embodiment, other disabled users from network transmission process because cannot capture random number, add solution
Close algorithm, it is ensured that the security of encryption, it is to avoid the defect that vehicle is illegally controlled during remote control automatic Pilot.
In the vehicle based on Internet of Things big data technology of the present invention prevents the method flooded,
Pedestrian on route or travel by vehicle is moved before route is predicted by pedestrian track judgment models also included：
Set and update coefficient g, video image is divided into rectangular block, the rectangular block has m*r blocks；Adjacent rectangle is set
Matrix weights sequence matrix E (k) of block={ σp,q(k) }, (p=1,2...m), (q=1,2...r), σp,qK () is k moment squares
The weights of shape block；Obtain weights averageAnd judge σp,qWhether k () be less thanWith the product for updating coefficient g, if
Less than then by the σp,qK () value retains, otherwise remove the σp,q(k) value.
By implementing the present embodiment, link is contrasted by setting weights average, can 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 vehicle based on Internet of Things big data technology prevents the system flooded, and it includes such as placing an order
Unit：
Altitude information acquiring unit, for obtaining default geography from weather forecast server in advance by central server
In the range of altitude information, altitude information is ranked up according to from high to low；
Grade classification unit, for obtaining the letter of the road in geographic range from navigation positioning system by central server
Each parking location information in breath and geographic range；Central server is according to precipitation value, precipitation in the unit interval over the years
The parking lot accumulated water situation of duration and the same period, road waterlogging situation generate the emergency alternative area of different safety class；
Corresponding relation sets up unit, for obtaining parking lot information in emergency alternative area by central server,
The parking lot information includes parking location information, cost information；And parking lot information is set up based on precipitation safety allowance
With the corresponding relation of precipitation event；
Car stops the selected unit in field, for being obtained in following Preset Time according to weather forecast server by central server
Precipitation event information, it is and right with precipitation event according to the precipitation event information and parking lot information in following Preset Time
Selected alternative parking lot should be related to；
Information pushing unit, for central server by alternative parking lot information and parking position information pushing to vehicle
The mobile terminal of user；
Information receiving unit, for by central server by receiving the position that vehicle is sent by navigation positioning system
Information；
Navigation information unit, the navigation for generating current vehicle position to each alternative parking lot by central server
Route information, predicted travel duration information and cost information, will send the mobile terminal to user；
Payment unit, takes for the pre-paid information and license board information of user to be sent into parking lot by mobile terminal
Business device；
Ground lock start unit, makes a reservation for for locking open command with sending control and starting parking lot by parking lot server
Berth ground lock；
Indoor navigation unit, for numbering generation Entrance to predetermined according to predetermined berth by parking lot server
The indoor navigation information in berth, and indoor navigation information is sent to the onboard system of vehicle；
Vehicle recognition unit, for when vehicle reaches Entrance, parking lot server to be believed by the car plate for receiving
Breath is identified to vehicle, and parking lot gate inhibition is opened after recognizing successfully；
Positioning unit, for obtaining location information of the vehicle in parking lot in real time by parking lot server；
Ground lock closing unit, for judging that vehicle is locked in closing regional extent with driving to 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 sending control.
Advantageous Effects：It is of the invention relative to prior art, 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, be disposed in advance, prevent vehicle from being flooded.
The simple part 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 is described by the way of progressive in this specification, and what each embodiment was stressed is and other
The difference of embodiment, between each embodiment identical similar portion mutually referring to.
It is understood that for the person of ordinary skill of the art, can be done with technology according to the present invention design
Go out other various corresponding changes and deformation, and all these changes and deformation should all belong to the protection model of the claims in the present invention
Enclose.
Claims (8)
1. a kind of vehicle based on Internet of Things big data technology prevents the method flooded, it is characterised in that it comprises the following steps：
S1, central server obtain the altitude information in default geographic range from weather forecast server in advance, and height above sea level is believed
Breath is ranked up according to from high to low；
S2, central server obtain each in road information and geographic range in geographic range from navigation positioning system
Parking location information；Parking lot stain of the central server according to precipitation value, precipitation duration and the same period in the unit interval over the years
Regimen condition, road waterlogging situation generate the emergency alternative area of different safety class；
S3, central server obtain parking lot information in emergency alternative area, and the parking lot information includes parking lot position
Confidence breath, cost information；And the corresponding relation of parking lot information and precipitation event is set up based on precipitation safety allowance；
S4, central server obtain the precipitation event information in following Preset Time according to weather forecast server, and according to not
The precipitation event information and parking lot information come in Preset Time select alternative parking lot with the corresponding relation of precipitation event；
S5, central server are by the mobile terminal of alternative parking lot information and parking position information pushing to vehicle user；
S6, central server are by receiving the positional information that vehicle is sent by navigation positioning system；
Navigation way information, the predicted travel duration of S7, central server generation current vehicle position to each alternative parking lot
Information and cost information, will send the mobile terminal to user；
The pre-paid information and license board information of user are sent to parking lot server by S8, mobile terminal；
S9, parking lot server are locked open command and are locked with starting the predetermined berth in parking lot with sending control；
S10, parking lot server generate the indoor navigation information of Entrance to predetermined berth according to predetermined berth numbering, and
Indoor navigation information is sent to the onboard system of vehicle；
S11, vehicle reach Entrance when, parking lot server by reception license board information vehicle is identified,
Parking lot gate inhibition is opened after recognizing successfully；
S12, parking lot server obtain location information of the vehicle in parking lot in real time；
S13, parking lot server judge that vehicle is locked in closing regional extent with driving to, and then parking lot server sends 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 based on Internet of Things big data technology as claimed in claim 1 prevents the method flooded, it is characterised in that
Also include after the step S6：
S61a, in vehicle on-board system configure user mobile terminal unique identifier, the identification marking be used for know
Other mobile terminal sends the legitimacy of instruction；The driving model selection information of acquisition for mobile terminal user, when for the first kind,
Jump to step S62a；When for Second Type, step S63a is jumped to；When for three types, S64a is jumped to；It is being
During four types, step S65a is jumped to；
S62a, the first kind are automatic driving mode, and automatic Pilot instruction is sent to mobile terminal the onboard system of vehicle, car
Onboard system parse the unique identifier of mobile terminal from automatic Pilot instruction, judge automatic according to identification marking
The legitimacy of steering instructions, is judging to perform step S7 and afterwards step by rear order；
Corresponding, the step S10 also includes afterwards：Vehicle passes through to drive automatically according to the navigation way information in selected parking lot
The pattern of sailing is sailed to Entrance；During automatic Pilot, vehicle position information is sent and projected by onboard system in real time
On the mobile terminal of user；
Accordingly, also include in the step S12：Vehicle is driven according to indoor navigation information；
Accordingly, the step S13 also includes：The onboard system of vehicle starts automatic parking function, sails predetermined berth into, and tie
Beam；
S63a, Second Type are user's driving model, jump to step S7；
S64a, the 3rd type are sharing model, user according to customer relationship network, by mobile terminal by alternative parking lot information
The user terminal of other staff in customer relationship network is pushed to, and is terminated；
S65a, the 4th type are other users driving model, and the mobile terminal of user will change asking for information of mobile terminal reception
Ask information to be sent to central server to be modified, and jump to step S7.
3. the vehicle based on Internet of Things big data technology as claimed in claim 1 prevents the method flooded, it is characterised in that
Also include after the step S6：
Whether S61b, central server obtain on all navigation ways in vehicle location and each alternative parking lot stain occur simultaneously
Water exceedes the situation of safety traffic depth, when not occurring simultaneously, jumps to step S7；Otherwise jump to step S62b；
S62b, central server send emergency information to custom system terminal；
S63b, onboard system control start the support component for being arranged on vehicle bottom, and automobile body is carried out rising and gone forward side by side by control
Row locking；And sue and labour information, location information of default trailer is sent to car insurance corporate server；
S64b, onboard system obtain car apposition water depth information in real time；Judge whether depth of accumulated water information exceedes vehicle safety depth
Angle value；When depth of accumulated water exceedes safety depth value, step S65b is jumped to；In depth of accumulated water not less than vehicle safety depth value
When, jump to step S66b；
S65b, onboard system carry out locking to vehicle starting system, and cut off all power supplys of vehicle；
S66b, onboard system judge depth of accumulated water value gather way whether exceed pre-set velocity, more than when jump to step
S65b；Not less than when jump to step S64b.
4. the vehicle based on Internet of Things big data technology as claimed in claim 2 prevents the method flooded, it is characterised in that
The vehicle is sailed by automatic driving mode according to the navigation way information in selected parking lot and also wrapped into Entrance
Include：
Obtain minimum speed-limiting messages and Maximum speed limit information on navigation way；Believed by minimum speed-limiting messages and Maximum speed limit
Wagon flow, people information on breath and running section carry out speed control；
Pedestrian track judgment models are pre-build, route is moved to pedestrian on route or travel by vehicle by pedestrian track judgment models
It is predicted；Judge whether vehicle early warning situation occur by predicting the outcome；When there is vehicle early warning situation, onboard system control
Brake system processed takes reduction or temporarily ceases driving vehicle to the mode of Preset Time carries 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 represented respectively successively in gait motion vector
K moment onboard system is obtained in traveling the x coordinate by the pedestrian target of onboard sensor collection in video image, y seats
Mark, scale value, swing, transverse and longitudinal ratio, inclination angle；
Define pedestrian's tendency model：Xk=Xk-1+Wk, wherein column vector WkRepresent that average is that 0, variance is diagonal matrixGaussian random parameter；
K=0 is made, initial video frame control target X is chosen0, calculate the initial dynamic space model that initial video frame compares target
Z0；According to prior distribution P (X0) set up initial testing collectionI is less than or equal to N；
The weights of predictive factor are concentrated according to initial testingFrom t test setAgain extract N number of prediction because
Son, 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
Weights, obtain t+1 moment test sets
According to new initial testing collectionAnd t+1 moment test setsAverage equilibrium iteration is carried out,
And dissipated according to preset value after iteration, after predetermined number of times is iterated to, by initial dynamic space model Z0Calculate new
The new weights of predictive factor, obtain the test set at k+1 moment
To the test set at k+1 momentBy the newest pedestrian movement's trend state of calculated with weighted average method target；
K=k+1 is made, the step of choosing initial video frame control target after is repeated, pedestrian movement's trend shape is occurring
When state is consistent with default early warning trend, it is determined that there is vehicle early warning situation.
5. the vehicle based on Internet of Things big data technology as claimed in claim 1 prevents the method flooded, it is characterised in that
The step S1 includes：Central server obtains the height above sea level letter in default geographic range from weather forecast server in advance
Breath, the geographical coordinate point one-to-one relationship set up in altitude information and geographic range；
Accordingly, the step S2 includes：
Central server obtained from navigation positioning system in road information and geographic range in geographic range each stop
Parking lot positional information；
Altitude information is added to ground by the geographical coordinate point one-to-one relationship in step S1 intermediate altitudes information and geographic range
In each parking location information in road information and geographic range in the range of reason, generation parking lot geographic distribution letter
Breath；The altitude information of the geographic distribution information including each parking lot and to parking lot each bar road in different drops
Available information in the case of water inventory；
Central server obtains parking lot accumulated water situation, the road of precipitation value, precipitation duration and the same period in unit interval over the years
The available information of accumulated water situation, the altitude information to each parking lot and each bar road to parking lot is modified, and obtains
Parking alternative area；
Parking alternative area is carried out being classified the emergency alternative area for obtaining different safety class according to accumulated water risk.
6. the vehicle based on Internet of Things big data technology as claimed in claim 2 prevents the method flooded, it is characterised 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
Know includes for recognizing that mobile terminal sends the legitimacy for instructing：
It is offline that initial random number, generating random number list of rules, enciphering and deciphering algorithm selection list of rules are configured to vehicle on-board
In the second dedicated encrypted storage region in the first dedicated encrypted storage region and user terminal of system；
Accordingly, the first kind is automatic driving mode in the step S62a, and be sent to for automatic Pilot instruction by mobile terminal
The onboard system of vehicle, the onboard system of vehicle parses the unique identifier of mobile terminal, root from automatic Pilot instruction
Judge that the legitimacy that automatic Pilot is instructed includes according to identification marking：
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, by new random number, the encryption and decryption of selection
Algorithm is instructed to automatic Pilot and the unique identifier of mobile terminal is encrypted, and the information after encryption is sent into car
Onboard system；
Onboard system is by the initial random number from the first dedicated encrypted storage region, generating random number list of rules and adds solution
Close algorithms selection list of rules generates the random number for decrypting and the enciphering and deciphering algorithm for decrypting, according to for decryption
Random number and the enciphering and deciphering algorithm for decrypting are decrypted to the information after encryption and obtain automatic Pilot instruction and movement
The unique identifier of terminal；The legitimacy that automatic Pilot is instructed is judged according to identification marking.
7. the vehicle based on Internet of Things big data technology as claimed in claim 4 prevents the method flooded, it is characterised in that
Pedestrian on route or travel by vehicle is moved before route is predicted by pedestrian track judgment models also included：
Set and update coefficient g, video image is divided into rectangular block, the rectangular block has m*r blocks；Adjacent rectangle block is set
Matrix weights sequence matrix E (k)={ σp,q(k) }, (p=1,2...m), (q=1,2...r), σp,qK () is k moment rectangular blocks
Weights；Obtain weights averageAnd judge σp,qWhether k () be less thanWith the product for updating coefficient g, if less than
Then by the σp,qK () value retains, otherwise remove the σp,q(k) value.
8. a kind of vehicle based on Internet of Things big data technology prevents the system flooded, it is characterised in that it is included such as lower unit：
Altitude information acquiring unit, for obtaining default geographic range from weather forecast server in advance by central server
Interior altitude information, altitude information is ranked up according to from high to low；
Grade classification unit, for obtained from navigation positioning system by central server the road information in geographic range with
And each parking location information in geographic range；Central server is according to precipitation value, precipitation duration in the unit interval over the years
And the parking lot accumulated water situation of the same period, road waterlogging situation generate the emergency alternative area of different safety class；
Corresponding relation sets up unit, described for obtaining parking lot information in emergency alternative area by central server
Parking lot information includes parking location information, cost information；And parking lot information is set up with drop based on precipitation safety allowance
The corresponding relation of regimen condition；
Car stops the selected unit in field, for obtaining the drop in following Preset Time according to weather forecast server by central server
Regimen condition information, and according to the pass corresponding with precipitation event of the precipitation event information and parking lot information in following Preset Time
System selectes alternative parking lot；
Information pushing unit, for central server by alternative parking lot information and parking position information pushing to vehicle user
Mobile terminal；
Information receiving unit, for being believed by the position that navigation positioning system sends by receiving vehicle by central server
Breath；
Navigation information unit, the navigation way for generating current vehicle position to each alternative parking lot by central server
Information, predicted travel duration information and cost information, will send the mobile terminal to user；
Payment unit, services for the pre-paid information and license board information of user to be sent into parking lot by mobile terminal
Device；
Ground lock start unit, for locking open command and starting the predetermined berth in parking lot with sending control by parking lot server
Ground lock；
Indoor navigation unit, for numbering generation Entrance to predetermined berth according to predetermined berth by parking lot server
Indoor navigation information, and indoor navigation information is sent to the onboard system of vehicle；
Vehicle recognition unit, for when vehicle reaches Entrance, parking lot server to pass through the license board information pair for receiving
Vehicle is identified, and parking lot gate inhibition is opened after recognizing successfully；
Positioning unit, for obtaining location information of the vehicle in parking lot in real time by parking lot server；
Ground lock closing unit, for judging that vehicle is locked in closing regional extent with driving to by parking lot server, in this way then
Parking lot server is locked out code and is locked with closing the predetermined berth in parking lot with sending control.
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