CN109712429A - A kind of city intelligent shutdown system based on big data - Google Patents
A kind of city intelligent shutdown system based on big data Download PDFInfo
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- CN109712429A CN109712429A CN201910146927.9A CN201910146927A CN109712429A CN 109712429 A CN109712429 A CN 109712429A CN 201910146927 A CN201910146927 A CN 201910146927A CN 109712429 A CN109712429 A CN 109712429A
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Abstract
The invention discloses a kind of city intelligent shutdown system based on big data, including vehicle module, information acquisition module, path planning module, cartographic information import modul, parking lot module and big data acquisition module；Wherein, the vehicle module is by vehicle localization module, automobile navigation module, voice broadcast module and Vehicular display device；The parking lot module is made of monitoring module of marching into the arena, model building module, parking lot locating module, parking timing module and accounting module；The vehicle module and information acquisition module communicate to connect, the parking lot module and letter acquisition module communication connection；The present invention preferably can recommend the route for reaching parking lot greatly out for user, and can allow user freely select be more suitable oneself stroke path, different types of charge mode simultaneously avoids while ensure that parking lot interests because of dispute caused by parking fee.
Description
Technical field
The invention belongs to shutdown system fields, are related to big data application technology, specifically a kind of city based on big data
Wisdom shutdown system.
Background technique
Shutdown system be a set of pair of parking lot vehicle being built by computer, the network equipment, Lane regulation equipment enter and leave,
Wagon flow guides, collects the network system that parking fee is managed in.It is the tool of professional parking lot management company indispensability.It passes through
The dynamic of vehicle and static integrated management in vehicle discrepancy and field are realized in position in acquisition and recording vehicle discrepancy record, field, preceding
Phase system is penetrated using extensive optical digital camera lens Car license recognition mode instead of tradition at present generally using radio frequency induction card as carrier
Frequency card charging records vehicles while passing information by contactless card, completes charging policy by management software and realizes, account pipe of charging
Reason, the functions such as lane equipment control, be all in present megastore and cell using shutdown system carry out parking management and
Charge；
Existing shutdown system, charging mode are mostly to charge on time, and charging standard is unified, are often occurred because of parking fee
With caused dispute, unusual trouble, while when driver's long way condition is unfamiliar with, to look for parking lot very inconvenient, gives parking system
The use of system brings certain influence.
Summary of the invention
The purpose of the present invention is to provide a kind of city intelligent shutdown system based on big data.
The technical problems to be solved by the invention are as follows:
(1) how suitable path preferably is cooked up for user, and allows user that can select phase according to stroke
The path answered；
(2) different type charging standard how is provided, reduces dispute caused by Parking Fee injustice.
The purpose of the present invention can be achieved through the following technical solutions:
A kind of city intelligent shutdown system based on big data, including vehicle module, information acquisition module, path planning mould
Block, cartographic information import modul, parking lot module and big data acquisition module；
Wherein, the vehicle module is by vehicle localization module, automobile navigation module, voice broadcast module and car-mounted display
Device；
The parking lot module is by monitoring module of marching into the arena, model building module, parking lot locating module, parking timing module
It is formed with accounting module；
The vehicle module and information acquisition module communicate to connect, the parking lot module and letter acquisition module communication link
It connects, the information acquisition module and path planning module communicate to connect, the cartographic information import modul and path planning module
Communication connection, the vehicle localization module and information acquisition module are wirelessly connected, the vehicle localization module also with automobile navigation
Module communication connection, the Vehicular display device and voice broadcast module are communicated to connect with automobile navigation module；
The monitoring module of marching into the arena is communicated to connect with model building module, and the parking timing module is communicated with accounting module
Even, the parking timing module is also wirelessly connected with information acquisition module, the parking lot locating module and information acquisition module
Communication connection；
The vehicle localization module for issuing the location information of vehicle in real time, and the automobile navigation module is for carrying out vehicle
Navigation, the voice broadcast module be used for navigation routine carry out voice broadcast, the Vehicular display device for show navigation
Route；
Image information of the monitoring module of marching into the arena for obtaining when vehicle enters parking lot, the parking timing module are used
In carrying out timing to the vehicle parking time, the accounting module can stop according to the parking duration that parking timing module records to calculate
Fare is used；
The information that the information acquisition module is used to acquire vehicle module and parking lot module is sent out, the path planning
The path that module is used to plan vehicle to parking lot, institute's cartographic information import modul are used to cartographic information importeding into path planning
In module and vehicle module；
The physical planning process of the path planning module is as follows:
Step 1: map letter can first be imported into path planning module by map import modul；
Step 2: vehicle localization module sends the real-time positioning information of vehicle in information acquisition module, while information
Acquisition module sends vehicle location information in path planning module；
Step 3: path planning module also has received the location information of parking lot locating module sending；
Step 4: path planning module can extract the n parking lot nearest apart from the position that vehicle location information is sent
It is A by the position mark of vehicle as target parking lot, is Bi, i=1 ... n by the position mark in parking lot；
Step 5: distance planning module, which can all cook up the distance between A to Bi, to be come, and distance is labeled as Li, i
=1 ... n；
Step 6: setting default for the score of each Li and divide C, has deduction of points Xiang Shihui to deduct corresponding scores in stroke,
The specific decision process of deduction of points item is as follows:
S1: when having turn-around in the path cooked up, preset fraction K1 is deducted；
S2: when having traffic lights in the path cooked up, each traffic lights deduct preset fraction K2 respectively；
S3: when number of turns is more than preset times in the path cooked up, preset fraction K3 is deducted；
Step 7: pass through formula C-K1-K2*n-K3=CAlwaysScore C in available final pathAlways；
Step 8: by CAlwaysIt is ranked up according to numerical values recited, extracts CAlwaysThe corresponding Li of maximum front three is in car-mounted display
Supply user's selection is shown on device；
The map letter import modul and external network connection.
Further, the model building module is for establishing model and being compared, under concrete model comparison process:
S1: preset overall height G1 and vehicle width J1 is had input in model building module in advance；
S2: by formula G1/J1=T, available model coefficient T1；
S3: while monitoring module of marching into the arena can shoot the admission image of lower vehicle, and calculate the model coefficient of frequent vehicle
Ti, i=1 ... n, Ti's and specific calculating process it is as follows；
SS1: monitoring module of marching into the arena shoots the admission image of lower vehicle；
SS2: extracting the highest point of vehicle in picture, is marked as a point, then by two sides front vehicle wheel and ground face contact
Point is respectively labeled as b1 point and b2 point；
SS3: b1 being connected to obtain straight line M1 with b2, and the midpoint of M1 is connect with a point can be obtained straight line M2, measures M2
Length, that is, overall height Ji；
SS4: measuring M1 length can be obtained vehicle width Gi；
SS5: pass through the model coefficient Ti of formula Gi/Ji=Ti you can get it admission vehicle；
S4: by formula Ti-T=t, the difference t of available admission auto model coefficient and preset model coefficient；
S5: when t is greater than preset value, i.e., being oversize vehicle by the marking of cars；
S6: when t is less than preset value, i.e., being small vehicle by the marking of cars.
Further, the big data can acquire the charge information of parking and be transferred in accounting module, the charging mould
Block can carry out charging according to the big data received, and specific charging process is as follows:
S1: when the vehicle in the parking lot of entrance is judged as oversize vehicle, accounting module can initially enter first grade
The specific charging flow of charge mode, first grade of charge mode is as follows；
SS1: start charging after vehicle enters parking lot time more than preset time；
SS2: accounting module accumulates once the amount of money per minute, and the Freight Basis of oversize vehicle is preset value, by Freight Basis
Labeled as q, parking duration is labeled as w1 minutes；
S2: pass through formula q*w=r1, i.e. the parking fee r1 of oversize vehicle appearance Shi Yaofu；
S3: when the vehicle in the parking lot of entrance is judged as small vehicle, accounting module can initially enter second gear
The specific charging flow of charge mode, second gear charge mode is as follows；
SS1: start charging after vehicle enters parking lot time more than preset time；
SS2: the Freight Basis of small vehicle is lower than the Freight Basis of oversize vehicle；
SS3: a correction value is set to calculate the rate of small vehicle, correction value is labeled as v, 0 < v < 1；
SS4: by the Freight Basis q2 of the available small vehicle of formula q1*v=q2, by parking duration labeled as w2 points
Clock；
S4: pass through formula q2*w2=r2, i.e. the parking fee r1 of small vehicle appearance Shi Yaofu.
Further, the voice broadcast module can be broadcasted out when vehicle is needed and turned " need to turn after going to XX meters,
Please slow down " voice messaging, the voice broadcast module can also broadcast out when vehicle driving road ahead has traffic lights
The voice messaging of " thering are traffic lights to ask slow down at the XX of front ".
Further, the monitoring module of marching into the arena is made of several high-definition cameras, the monitoring module installation of marching into the arena
In the inlet in parking lot.
Further, the automobile navigation module is used in user's selection path that path planning module has been planned carefully
It navigates afterwards for user.
Beneficial effects of the present invention:
(1) present invention can recommend preferably to reach parking lot out by the path planning module of setting for user
Path reduces and goes to the turning of parking lot on the way again, turns around to make user more quick with the time for waiting traffic lights
The corresponding parking lot of arrival, while the setting that multiple paths are recommended simultaneously allows user to have different use to select, thus
Allow the system.More convenience are provided for user；
(2) present invention is by model building module, and passes through formula G1/J1=T, available model coefficient T1, simultaneously
Vehicle can calculate the model coefficient Ti of admission vehicle by the information of vehicles that monitoring module of marching into the arena is recorded, then pass through formula
By formula Ti-T=t, the difference t of available admission auto model coefficient and preset model coefficient, and according to the size of t
Determine that vehicle is oversize vehicle or small vehicle, while accounting module can finally calculate parking fee according to the type of vehicle
With making the charge mode in parking lot more humanized, and charge mode carrys out charging according to minute, be more bonded the heart of user
Meaning reduces because of the unnecessary dispute that Parking Fee generates, so that the system be allowed more to be suitble to promote the use of.
Detailed description of the invention
In order to facilitate the understanding of those skilled in the art, the present invention will be further described below with reference to the drawings.
Fig. 1 is system block diagram of the invention.
Specific embodiment
As shown, a kind of city intelligent shutdown system based on big data, including vehicle module, information acquisition module,
Path planning module, cartographic information import modul, parking lot module and big data acquisition module；
Wherein, the vehicle module is by vehicle localization module, automobile navigation module, voice broadcast module and car-mounted display
Device；
The parking lot module is by monitoring module of marching into the arena, model building module, parking lot locating module, parking timing module
It is formed with accounting module；
The vehicle module and information acquisition module communicate to connect, the parking lot module and letter acquisition module communication link
It connects, the information acquisition module and path planning module communicate to connect, the cartographic information import modul and path planning module
Communication connection, the vehicle localization module and information acquisition module are wirelessly connected, the vehicle localization module also with automobile navigation
Module communication connection, the Vehicular display device and voice broadcast module are communicated to connect with automobile navigation module；
The monitoring module of marching into the arena is communicated to connect with model building module, and the parking timing module is communicated with accounting module
Even, the parking timing module is also wirelessly connected with information acquisition module, the parking lot locating module and information acquisition module
Communication connection；
The vehicle localization module for issuing the location information of vehicle in real time, and the automobile navigation module is for carrying out vehicle
Navigation, the voice broadcast module be used for navigation routine carry out voice broadcast, the Vehicular display device for show navigation
Route；
Image information of the monitoring module of marching into the arena for obtaining when vehicle enters parking lot, the parking timing module are used
In carrying out timing to the vehicle parking time, the accounting module can stop according to the parking duration that parking timing module records to calculate
Fare is used；
The information that the information acquisition module is used to acquire vehicle module and parking lot module is sent out, the path planning
The path that module is used to plan vehicle to parking lot, institute's cartographic information import modul are used to cartographic information importeding into path planning
In module and vehicle module；
The physical planning process of the path planning module is as follows:
Step 1: map letter can first be imported into path planning module by map import modul；
Step 2: vehicle localization module sends the real-time positioning information of vehicle in information acquisition module, while information
Acquisition module sends vehicle location information in path planning module；
Step 3: path planning module also has received the location information of parking lot locating module sending；
Step 4: path planning module can extract the n parking lot nearest apart from the position that vehicle location information is sent
It is A by the position mark of vehicle as target parking lot, is Bi, i=1 ... n by the position mark in parking lot；
Step 5: distance planning module, which can all cook up the distance between A to Bi, to be come, and distance is labeled as Li, i
=1 ... n；
Step 6: setting default for the score of each Li and divide C, has deduction of points Xiang Shihui to deduct corresponding scores in stroke,
The specific decision process of deduction of points item is as follows:
S1: when having turn-around in the path cooked up, preset fraction K1 is deducted；
S2: when having traffic lights in the path cooked up, each traffic lights deduct preset fraction K2 respectively；
S3: when number of turns is more than preset times in the path cooked up, preset fraction K3 is deducted；
Step 7: pass through formula C-K1-K2*n-K3=CAlwaysScore C in available final pathAlways；
Step 8: by CAlwaysIt is ranked up according to numerical values recited, extracts CAlwaysThe corresponding Li of maximum front three is in car-mounted display
Supply user's selection is shown on device；
The map letter import modul and external network connection.
The model building module is for establishing model and being compared, under concrete model comparison process:
S1: preset overall height G1 and vehicle width J1 is had input in model building module in advance；
S2: by formula G1/J1=T, available model coefficient T1；
S3: while monitoring module of marching into the arena can shoot the admission image of lower vehicle, and calculate the model coefficient of frequent vehicle
Ti, i=1 ... n, Ti's and specific calculating process it is as follows；
SS1: monitoring module of marching into the arena shoots the admission image of lower vehicle；
SS2: extracting the highest point of vehicle in picture, is marked as a point, then by two sides front vehicle wheel and ground face contact
Point is respectively labeled as b1 point and b2 point；
SS3: b1 being connected to obtain straight line M1 with b2, and the midpoint of M1 is connect with a point can be obtained straight line M2, measures M2
Length, that is, overall height Ji；
SS4: measuring M1 length can be obtained vehicle width Gi；
SS5: pass through the model coefficient Ti of formula Gi/Ji=Ti you can get it admission vehicle；
S4: by formula Ti-T=t, the difference t of available admission auto model coefficient and preset model coefficient；
S5: when t is greater than preset value, i.e., being oversize vehicle by the marking of cars；
S6: when t is less than preset value, i.e., being small vehicle by the marking of cars.
The big data can acquire the charge information of parking and be transferred in accounting module, and the accounting module meeting basis connects
The big data received carries out charging, and specific charging process is as follows:
S1: when the vehicle in the parking lot of entrance is judged as oversize vehicle, accounting module can initially enter first grade
The specific charging flow of charge mode, first grade of charge mode is as follows；
SS1: start charging after vehicle enters parking lot time more than preset time；
SS2: accounting module accumulates once the amount of money per minute, and the Freight Basis of oversize vehicle is preset value, by Freight Basis
Labeled as q, parking duration is labeled as w1 minutes；
S2: pass through formula q*w=r1, i.e. the parking fee r1 of oversize vehicle appearance Shi Yaofu；
S3: when the vehicle in the parking lot of entrance is judged as small vehicle, accounting module can initially enter second gear
The specific charging flow of charge mode, second gear charge mode is as follows；
SS1: start charging after vehicle enters parking lot time more than preset time；
SS2: the Freight Basis of small vehicle is lower than the Freight Basis of oversize vehicle；
SS3: a correction value is set to calculate the rate of small vehicle, correction value is labeled as v, 0 < v < 1；
SS4: by the Freight Basis q2 of the available small vehicle of formula q1*v=q2, by parking duration labeled as w2 points
Clock；
S4: pass through formula q2*w2=r2, i.e. the parking fee r1 of small vehicle appearance Shi Yaofu.
The voice broadcast module can be broadcasted out when vehicle is needed and turned " to be needed to turn, please slow down slow after going to XX meters
The voice messaging of row ", the voice broadcast module can also be broadcasted out " at the XX of front when vehicle driving road ahead has traffic lights
There are traffic lights to ask slow down " voice messaging；The monitoring module of marching into the arena is made of several high-definition cameras, described to march into the arena
Monitoring module is mounted on the inlet in parking lot；
The automobile navigation module is used to after user selects the path that path planning module has been planned carefully use
Person navigates.
A kind of city intelligent shutdown system based on big data, when in use, information acquisition module can receive vehicle simultaneously
The location information that locating module and parking lot locating module issue believes that acquisition module can be sent to upon receiving the positioning information
Into path planning module, while real-time cartographic information is also imported into path planning module by map import modul, path
Planning module can cross formula C-K1-K2*n-K3=C allAlwaysScore C in available final pathAlways, by CAlwaysAccording to numerical value
Size is ranked up, and extracts CAlwaysThe corresponding Li of maximum front three shows supply user's selection on Vehicular display device,
Allow user that can select the most suitable path for reaching parking lot according to the stroke demand of oneself, while vehicle is entering
When parking lot, monitoring module of marching into the arena can shoot the image letter of lower vehicle, and the mould for the vehicle marched into the arena is calculated according to image information
Type coefficient T i, while preset overall height G1 and vehicle width J1 is had input in model building module in advance, and pass through formula G1/
J1=T, available model coefficient T1, then pass through formula Ti-T=t, available admission auto model coefficient and default mould
The difference t of type coefficient, and determine that vehicle is oversize vehicle and small vehicle according to the size of t, so that accounting module energy
It is enough that charging is started according to type of vehicle.
The present invention can recommend preferably to reach parking lot out by the path planning module of setting first for user
Path reduces and goes to the turning of parking lot on the way again, turns around to make user more quick with the time for waiting traffic lights
The corresponding parking lot of arrival, while the setting that multiple paths are recommended simultaneously allows user to have different use to select, thus
Allow the system.More convenience are provided for user；
Secondly the present invention is by model building module, and passes through formula G1/J1=T, available model coefficient T1, simultaneously
Vehicle can calculate the model coefficient Ti of admission vehicle by the information of vehicles that monitoring module of marching into the arena is recorded, then pass through formula
By formula Ti-T=t, the difference t of available admission auto model coefficient and preset model coefficient, and according to the size of t
Determine that vehicle is oversize vehicle or small vehicle, while accounting module can finally calculate parking fee according to the type of vehicle
With making the charge mode in parking lot more humanized, and charge mode carrys out charging according to minute, be more bonded the heart of user
Meaning reduces because of the unnecessary dispute that Parking Fee generates, so that the system be allowed more to be suitble to promote the use of.
Above content is only to structure of the invention example and explanation, affiliated those skilled in the art couple
Described specific embodiment does various modifications or additions or is substituted in a similar manner, without departing from invention
Structure or beyond the scope defined by this claim, is within the scope of protection of the invention.
Claims (6)
1. a kind of city intelligent shutdown system based on big data, which is characterized in that including vehicle module, information acquisition module,
Path planning module, cartographic information import modul, parking lot module and big data acquisition module；
Wherein, the vehicle module is by vehicle localization module, automobile navigation module, voice broadcast module and Vehicular display device；
The parking lot module is by monitoring module of marching into the arena, model building module, parking lot locating module, parking timing module and meter
Take module composition；
The vehicle module and information acquisition module communicate to connect, the parking lot module and letter acquisition module communication connection, institute
It states information acquisition module and path planning module communicates to connect, the cartographic information import modul and path planning module communication link
It connects, the vehicle localization module and information acquisition module are wirelessly connected, and the vehicle localization module is also logical with automobile navigation module
Letter connection, the Vehicular display device and voice broadcast module are communicated to connect with automobile navigation module；
March into the arena monitoring module and model building module communication connection, the parking timing module and the accounting module communication link,
The parking timing module is also wirelessly connected with information acquisition module, and the parking lot locating module is communicated with information acquisition module
Connection；
The vehicle localization module is led for issuing the location information of vehicle, the automobile navigation module in real time for carrying out vehicle
Boat, the voice broadcast module are used to carry out voice broadcast to navigation routine, and the Vehicular display device is for showing navigation routine；
The monitoring module of marching into the arena for obtaining image information when vehicle enters parking lot, the parking timing module for pair
The vehicle parking time carries out timing, and the accounting module can calculate parking fee according to the parking duration that parking timing module records
With；
The information that the information acquisition module is used to acquire vehicle module and parking lot module is sent out, the path planning module
Path for planning vehicle to parking lot, institute's cartographic information import modul are used to cartographic information importeding into path planning module
In vehicle module；
The physical planning process of the path planning module is as follows:
Step 1: map letter can first be imported into path planning module by map import modul；
Step 2: vehicle localization module sends the real-time positioning information of vehicle in information acquisition module, while information collection
Module sends vehicle location information in path planning module；
Step 3: path planning module also has received the location information of parking lot locating module sending；
Step 4: path planning module can extract the n parking lot conduct nearest apart from the position that vehicle location information is sent
The position mark of vehicle is A by target parking lot, is Bi, i=1 ... n by the position mark in parking lot；
Step 5: distance planning module, which can all cook up the distance between A to Bi, to be come, and distance is labeled as Li, i=
1……n；
Step 6: setting default for the score of each Li and divide C, has deduction of points Xiang Shihui to deduct corresponding scores, deduction of points in stroke
The specific decision process of item is as follows:
S1: when having turn-around in the path cooked up, preset fraction K1 is deducted；
S2: when having traffic lights in the path cooked up, each traffic lights deduct preset fraction K2 respectively；
S3: when number of turns is more than preset times in the path cooked up, preset fraction K3 is deducted；
Step 7: pass through formula C-K1-K2*n-K3=CAlwaysScore C in available final pathAlways；
Step 8: by CAlwaysIt is ranked up according to numerical values recited, extracts CAlwaysThe corresponding Li of maximum front three is on Vehicular display device
Show supply user's selection；
The map letter import modul and external network connection.
2. a kind of city intelligent shutdown system based on big data according to claim 1, which is characterized in that the model
Module is established for establishing model and being compared, under concrete model comparison process:
S1: preset overall height G1 and vehicle width J1 is had input in model building module in advance；
S2: by formula G1/J1=T, available model coefficient T1；
S3: while monitoring module of marching into the arena can shoot the admission image of lower vehicle, and calculate the model coefficient Ti, i of frequent vehicle
=1 ... n, Ti's and specific calculating process it is as follows；
SS1: monitoring module of marching into the arena shoots the admission image of lower vehicle；
SS2: extracting the highest point of vehicle in picture, is marked as a point, then by the point minute of two sides front vehicle wheel and ground face contact
It Biao Ji be not point and b2 point；
SS3: b1 being connected to obtain straight line M1 with b2, and the midpoint of M1 is connect with a point can be obtained straight line M2, measures the length of M2
Degree is overall height Ji；
SS4: measuring M1 length can be obtained vehicle width Gi；
SS5: pass through the model coefficient Ti of formula Gi/Ji=Ti you can get it admission vehicle；
S4: by formula Ti-T=t, the difference t of available admission auto model coefficient and preset model coefficient；
S5: when t is greater than preset value, i.e., being oversize vehicle by the marking of cars；
S6: when t is less than preset value, i.e., being small vehicle by the marking of cars.
3. a kind of city intelligent shutdown system based on big data according to claim 1, which is characterized in that the big number
It according to the charge information that can acquire parking and is transferred in accounting module, the accounting module can be carried out according to the big data received
Charging, specific charging process are as follows:
S1: when the vehicle in the parking lot of entrance is judged as oversize vehicle, accounting module can initially enter first grade of charging
The specific charging flow of mode, first grade of charge mode is as follows；
SS1: start charging after vehicle enters parking lot time more than preset time；
SS2: accounting module accumulates once the amount of money per minute, and the Freight Basis of oversize vehicle is preset value, and Freight Basis is marked
For q, parking duration is labeled as w1 minutes；
S2: pass through formula q*w=r1, i.e. the parking fee r1 of oversize vehicle appearance Shi Yaofu；
S3: when the vehicle in the parking lot of entrance is judged as small vehicle, accounting module can initially enter the charging of second gear
The specific charging flow of mode, second gear charge mode is as follows；
SS1: start charging after vehicle enters parking lot time more than preset time；
SS2: the Freight Basis of small vehicle is lower than the Freight Basis of oversize vehicle；
SS3: a correction value is set to calculate the rate of small vehicle, correction value is labeled as v, 0 < v < 1；
SS4: by the Freight Basis q2 of the available small vehicle of formula q1*v=q2, parking duration is labeled as w2 minutes；
S4: pass through formula q2*w2=r2, i.e. the parking fee r1 of small vehicle appearance Shi Yaofu.
4. a kind of city intelligent shutdown system based on big data according to claim 1, which is characterized in that the voice
Broadcasting module can broadcast out the voice messaging of " needing to turn after going to XX meters, ask slow down ", institute when vehicle is needed and turned
Stating voice broadcast module and also broadcasting out when vehicle driving road ahead has traffic lights " has traffic lights that please slow down slowly at the XX of front
The voice messaging of row ".
5. a kind of city intelligent shutdown system based on big data according to claim 1, which is characterized in that described to march into the arena
Monitoring module is made of several high-definition cameras, and the monitoring module of marching into the arena is mounted on the inlet in parking lot.
6. a kind of city intelligent shutdown system based on big data according to claim 1, which is characterized in that the vehicle
Navigation module after user selects the path that path planning module has been planned carefully for user for navigating.
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| CN110853391A (en) * | 2019-11-11 | 2020-02-28 | 王新晓 | Intelligent shared parking system |
| CN111145584A (en) * | 2019-12-20 | 2020-05-12 | 中移（杭州）信息技术有限公司 | Garage management method, device and system based on PaaS platform and storage medium |
| CN112185159A (en) * | 2020-08-28 | 2021-01-05 | 安徽天煌机械制造有限公司 | Smart community service system based on cloud platform |
| CN113870615A (en) * | 2021-11-12 | 2021-12-31 | 吉林大学 | Intelligent vehicle parking system and method based on smart city |
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