CN109523827A - Underground parking lot parking system - Google Patents

Underground parking lot parking system Download PDF

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Publication number
CN109523827A
CN109523827A CN201811584525.9A CN201811584525A CN109523827A CN 109523827 A CN109523827 A CN 109523827A CN 201811584525 A CN201811584525 A CN 201811584525A CN 109523827 A CN109523827 A CN 109523827A
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CN
China
Prior art keywords
parking
parking stall
parking lot
information
vehicle
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CN201811584525.9A
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Chinese (zh)
Inventor
刘昌昆
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Guangdong Power Grid Co Ltd
Dongguan Power Supply Bureau of Guangdong Power Grid Co Ltd
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Guangdong Power Grid Co Ltd
Dongguan Power Supply Bureau of Guangdong Power Grid Co Ltd
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Application filed by Guangdong Power Grid Co Ltd, Dongguan Power Supply Bureau of Guangdong Power Grid Co Ltd filed Critical Guangdong Power Grid Co Ltd
Priority to CN201811584525.9A priority Critical patent/CN109523827A/en
Publication of CN109523827A publication Critical patent/CN109523827A/en
Pending legal-status Critical Current

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    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/14Traffic control systems for road vehicles indicating individual free spaces in parking areas
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/14Traffic control systems for road vehicles indicating individual free spaces in parking areas
    • G08G1/141Traffic control systems for road vehicles indicating individual free spaces in parking areas with means giving the indication of available parking spaces
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/14Traffic control systems for road vehicles indicating individual free spaces in parking areas
    • G08G1/145Traffic control systems for road vehicles indicating individual free spaces in parking areas where the indication depends on the parking areas
    • G08G1/146Traffic control systems for road vehicles indicating individual free spaces in parking areas where the indication depends on the parking areas where the parking area is a limited parking space, e.g. parking garage, restricted space
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L51/00User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail
    • H04L51/04Real-time or near real-time messaging, e.g. instant messaging [IM]
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W4/00Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/80Services using short range communication, e.g. near-field communication [NFC], radio-frequency identification [RFID] or low energy communication

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Traffic Control Systems (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention discloses an underground parking lot parking system, which comprises the following steps: step 100, collecting parking lot data, establishing an entrance management system, and realizing real-time updating of parking space information of a cloud server; step 200, establishing a parking lot vacancy detection model, and transmitting the use condition of the parking space to a management system at an entrance; step 300, setting a path guidance system to guide a vehicle to enter a parking space; step 400, building a remote vacancy inquiry WeChat platform, and step 500, connecting a remote server, wherein the whole system realizes convenient use of mobile internet application, realizes convenience of cross-operating system deployment by using JavaEE, and realizes flexible docking with various parking management systems by using an information collection module and service application interfacing; the parking stall information acquisition scheme utilizes NFC technique and two-dimensional code technique with every parking stall network informationization to realized binding of parking stall and vehicle, easily solved the location problem of berthhing the vehicle, and with low costs, stability is high.

Description

A kind of underground parking lot shutdown system
Technical field
The present invention relates to underground parking applied technical field, specially a kind of underground parking lot shutdown system.
Background technique
With the quickening of urbanization process, domestic resident's car ownership growth is swift and violent.Automobile is in the daily of resident Life is gradually popularized, although facilitating its trip, the problem of parking of vehicle becomes the focus of whole society people.For updating Slow Traffic Systems regenerate with backward city foundation construction facility, growing car ownership carries energy to it Power has initiated unprecedented challenge, and will persistently there is a very long time.If parking cannot have been administered fundamentally Problem will certainly draw numerous relevant social concerns and livelihood issues.
Currently, the progress in the parking industry field of developed country and promotion efficiency are more advanced than China.Intelligent parkingization and The application popularization rate of truck space guiding system is higher, the development in two fields also comparative maturity, however does not combine the two, very Rare people can study its whole relevance, lack systematic understanding.Domestic and international experts and scholars start technology of Internet of things to throw Enter to parking stall on guiding, opens new direction for the development of parking stall bootstrap technique.
For example, patent name is that a kind of invention of underground parking navigation system is special application No. is 201711053144. Benefit:
Its underground parking navigation system provided is navigated using RFID card (RFID chip) as positioning device, Car owner can be enabled to quickly finish the process of parking and pick-up in the underground parking of no satellite-signal, greatly saved Quality time of car owner;In addition, being navigated using RFID card (RFID chip) as positioning device, led relative to traditional Boat means such as image recognition, faster, cost is lower for corresponding speed, and feasibility is higher.
But existing underground parking lot shutdown system has the following deficiencies:
(1) in recent years, with the maturation of technology of Internet of things, it has obtained relatively broad fortune in terms of parking lot management With, but most of scheme must onboard add ancillary hardware, be unfavorable for putting into effect;Function is not perfect, and cannot according to The individual demand at family provides respective service, can not achieve and recommends parking stall for driver;
(2) currently, the message identification of each different inner part of parking lot shows disunity, cannot consider in this way from the overall situation, Information cannot be shared, and the imbalance in macroscopically resource allocation is caused;Parking stall guidance based on mobile phone A pp is not also universal, has Innovation to be developed.
Summary of the invention
The technical problem to be solved in the present invention is that in view of the deficiencies of the prior art, providing a kind of underground parking lot parking system System can effectively solve the problem of background technique proposes.
To achieve the above object, the present invention provides technical solution below:
A kind of underground parking lot shutdown system, includes the following steps:
Step 100, acquisition parking data, are established entrance management system, are carried out writing card to label using RFID reader, Hair fastener is carried out according to parking space information when vehicle enters, clearing are carried out when vehicle leaves and is transmitted to Cloud Server updated Parking space information realizes the parking space information real-time update of cloud server;
Step 200 establishes vacancy of parking lots detection model, and the real-time parking stall image in parking lot is passed to image procossing Device handles real-time parking stall image according to machine vision, finds out vacancy, and parking stall service condition is passed to inlet Management system;
Step 300, setting route guidance system, are detected using parking sensor in parking lot and are read in vehicle tag Parking space information, and store the relevant information of the parking lot parking area Nei Ge and parking stall and reach the path of this position, enter for vehicle It is instructed on parking stall;
Step 400 builds distal end vacancy inquiry wechat platform, and wechat public platform is arranged, can inquire and want stopping for inquiry Car pool information, because being waited without parking stall after avoiding the problem that parking lot;
Step 500, connection remote server, user is swept by the NFC or two dimensional code of client to be swept function and reads respectively Parking space information NFC label and two dimensional code acquire parking space information, the corresponding parking space information of vehicle are sent to server, so as to information Processing and update.
Further, in the step 100, further includes:
Firstly, one is arranged on each parking stall using singlechip controller as the hardware monitoring platform of core, periphery is set Set infrared sensor and WIFI module;
Then, the data information detected using singlechip controller receiving sensor, and established firmly by WIFI module The bridge communicated between part platform and server;
The specific location on parking stall is numbered again;
Finally, the collected data of sensor will be uploaded onto the server middle carry out data processing by communication mechanism.
Further, in the step 200, further includes:
First: from the camera in parking lot intercept each parking stall it is unoccupied when picture;
Secondly, obtaining current image using the singlechip controller on each parking stall, and filter is completed to picture at this time Wave and gray processing processing;
Furthermore carry out feature extraction: the label of idle parking stall, foreground detection processing, image binaryzation processing, open and close fortune The calculating of calculation processing and parking stall profile inquiry and respective area;
Finally, being marked according to the information after operation to parking lot free time parking stall, finally calibrated information is transmitted To foreground management system, do homework for the road guidance after idle parking stall measure.
Further, in the step 200, vacancy of parking lots detection model further includes the parking for importing historical data for the first time Position database and the parking stall database for constantly updating real-time parking space information, and it is pre- come parking stall using Bayesian network model is based on Survey model.
Further, the building of the Bayesian network model needs multivariable conditional sampling, and Joint Distribution is divided into Marginal probability distribution:
If the joint distribution function of n variable is P (X1..., Xn), calculation formula such as following formula:
P(X1... Xn)=P (X1)P(X1|X2)…P(Xn|X1..., Xn-1)
In formula, XiIndicate vector X=(X1..., Xn) in element, P (Xn|X1..., Xn-1) indicate in condition (X1..., Xn) under there is XnProbability, then forIt enablesFor element X1Father node,Independently of remaining Variable, joint probability distribution are expressed as follows:
Further, in the step 300, further includes:
Firstly, carrying out abstract quantization to road network, the pictorial information data that singlechip controller transmits are initialized, it will Each node in figure temporarily assigns an initial value d [Vi] to indicate that it arrives the distance of origin, enable d [Vi]=0, residue section The initial value of point is equal to infinity;
Secondly, distributed iterative solves, the side in multiple relaxation figure, until each nodal value is minimum, node at this moment Value is the shortest distance.
Finally, if nodal value is restrained, illustrating to weigh back there is no negative by the nodal value for calculating all sides in weighted graph Road, and provide shortest path;Otherwise there is negative power circuit.
Further, further include the degree of concern according to user to each index in the step 300, give evaluation index Weight is distributed, need to carry out user to stop the setting of willingness parameter weight before decision, to determine evaluation criterion weight vector, and base Optimal parking stall calculating is carried out in this vector.
Further, the multi -index decision model step is as follows:
Firstly, finding decision scheme collection P={ P1, P2... PnAnd object vector collection G={ L, D, S, R, C }, establish decision Matrix An*5=(aij)n*5
Secondly, by An*5=(aij)n*5Index value normalizes operation, obtains canonical matrix R=(rij)n*5, standardize formula It is as follows:
Wherein, I1、I2It is successively profit evaluation model index set, cost type index set;
Furthermore referring to the evaluation criterion weight vector W={ w of user's input1, w2, w3, w4, w5, calculate the synthesis on parking stall Attribute value Zi(w)=R*wT
Finally, according to attribute value Zi(w) size sorts, and obtains optimal parking stall, synthesized attribute value is bigger, which gets over The wish of user can be met.
Further, the system deployment across operation domain mainly is realized using javaEE in the step 400, utilize single-chip microcontroller The information collection module of controller is realized and a variety of parking management system interface flexibilities with the interface being served by.
Compared with prior art, the invention has the following advantages:
(1) underground parking lot shutdown system of the invention is given best parking stall and is pushed away by the research to parking stall preference pattern Model is recommended, which can give the best parking stall of user's Dynamic recommendation, and user is promoted conveniently to find effective parking stall, Er Qieke To make full use of parking stall resource, parking utilization rate, stopping at release pressure are improved, and ensure that the timeliness and rationally on parking stall Property;
(2) underground parking lot shutdown system of the invention realizes the convenient use of mobile interchange application, utilizes JavaEE reality The convenience for having showed cross operating system deployment is realized and a variety of parkings using information collection module with the interface being served by Management system interface flexibility;Parking space information collection scheme using NFC technique and planar bar code technology by each parking stall Network Information, And realize the binding of parking stall and vehicle, easily solve the orientation problem of parked vehicles, be reverse car search, quick payment, Quickly appear on the scene and there is new demand servicing to be excavated to provide new approaches, and it is at low cost, stability is high.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this Some embodiments of invention without any creative labor, may be used also for those of ordinary skill in the art To obtain other attached drawings according to these attached drawings.
Fig. 1 is the simple schematic diagram of the step process of underground parking lot shutdown system of the invention.
Specific embodiment
To enable the purpose of the present invention, feature, advantage more obvious and understandable, implement below in conjunction with the present invention Attached drawing in example, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that reality disclosed below Applying example is only a part of the embodiment of the present invention, and not all embodiment.Based on the embodiments of the present invention, this field is common Technical staff's all other embodiment obtained without making creative work belongs to the model that the present invention protects It encloses.
In the description of the present invention, it is to be understood that, when a component is considered as " connection " another component, it can To be directly to another component or may be simultaneously present the component being centrally located.When a component is considered as " setting Set " another component, it, which can be, is set up directly on another component or may be simultaneously present the component being centrally located.
In addition, the indicating positions such as term " length " " short " "inner" "outside" or positional relationship for the orientation that is shown based on attached drawing or Person's positional relationship is merely for convenience of the description present invention, rather than the device or original part of indication or suggestion meaning must have this Specific orientation is operated with specific orientation construction, should not be understood as limitation of the invention with this.
To further illustrate the technical scheme of the present invention below with reference to the accompanying drawings and specific embodiments.
As shown in Figure 1, including the following steps: the present invention provides a kind of underground parking lot shutdown system
Step 100, acquisition parking data, are established entrance management system, are carried out writing card to label using RFID reader, Hair fastener is carried out according to parking space information when vehicle enters, clearing are carried out when vehicle leaves and is transmitted to Cloud Server updated Parking space information realizes the parking space information real-time update of cloud server;
Step 200 establishes vacancy of parking lots detection model, and the real-time parking stall image in parking lot is passed to image procossing Device handles real-time parking stall image according to machine vision, finds out vacancy, and parking stall service condition is passed to inlet Management system;
Step 300, setting route guidance system, are detected using parking sensor in parking lot and are read in vehicle tag Parking space information, and store the relevant information of the parking lot parking area Nei Ge and parking stall and reach the path of this position, enter for vehicle It is instructed on parking stall;
Step 400 builds distal end vacancy inquiry wechat platform, and wechat public platform is arranged, can inquire and want stopping for inquiry Car pool information, because being waited without parking stall after avoiding the problem that parking lot;
Step 500, connection remote server, user is swept by the NFC or two dimensional code of client to be swept function and reads respectively Parking space information NFC label and two dimensional code acquire parking space information, the corresponding parking space information of vehicle are sent to server, so as to information Processing and update.
In the step 100, further includes:
Firstly, one is arranged on each parking stall using singlechip controller as the hardware monitoring platform of core, periphery is set Set infrared sensor and WIFI module;
Then, the data information detected using singlechip controller receiving sensor, and established firmly by WIFI module The bridge communicated between part platform and server;
The specific location on parking stall is numbered again;
Finally, the collected data of sensor are uploaded onto the server middle carry out data processing by communication mechanism.
In the present embodiment, the singlechip controller of STM32F103C8T6 model is core system plate, and infrared sensor uses The sensor of E18-D80NK-N model, singlechip controller be responsible for receive the collected data information of infrared sensor, then into Row data processing makes it upload the data to server background processing finally by setting WIFI module.
In the present embodiment, server is that the core of entire guidance system operating and hinge, System are integrated in parking lot Multidate information, and provided a user in inquiry shared service and field using client and wechat public platform as medium in real time, be over-the-counter Route guiding service, for obtain parking data library go out admission parking information, be specially provided for data upload connect Mouthful, the multidate information that parking lot goes out admission vehicle is obtained in real time.
In step 200, further includes:
First: from the camera in parking lot intercept each parking stall it is unoccupied when picture;
Secondly, obtaining current image using the singlechip controller on each parking stall, and filter is completed to picture at this time Wave and gray processing processing;
Furthermore carry out feature extraction: the label of idle parking stall, foreground detection processing, image binaryzation processing, open and close fortune The calculating of calculation processing and parking stall profile inquiry and respective area;
Finally, being marked according to the information after operation to parking lot free time parking stall, finally calibrated information is transmitted To foreground management system, do homework for the road guidance after idle parking stall measure.
In the present embodiment, using the idle parking stall measure based on OpenCV, the service condition on each parking stall is extracted, and anti- It feeds the management system of inlet, management system reduces according to the vehicle allocation parking stall that vacancy information is into parking lot Overhead.
In the step 200, vacancy of parking lots detection model further includes the parking stall database for importing historical data for the first time And the parking stall database of real-time parking space information is constantly updated, and using being based on Bayesian network model come parking stall prediction model.
The building of the Bayesian network model needs multivariable conditional sampling, and Joint Distribution is divided into marginal probability point Cloth:
If the joint distribution function of n variable is P (X1..., Xn), calculation formula such as following formula:
P(X1..., Xn)=P (X1)P(X1|X2)...P(Xn|X1..., Xn-1)
In formula, XiIndicate vector X=(X1..., Xn) in element, P (Xn|X1..., Xn-1) indicate in condition (X1..., Xn) under there is XnProbability, then forIt enablesFor element X1Father node,Independently of remaining Variable, joint probability distribution are expressed as follows:
In the present embodiment, the various dynamics of the section this moment are mapped by increasing additional weight on the initial weight of section Or Static implicit method drives the influence of delay time at stop to user, according to actual environment matching several additional power more of equal value Value transfers to bellman-ford algorithm calculating to provide result.
In the present embodiment, Bayesian network model is established using improved bellman-ford algorithm, realizes vehicle Active path planning is realized the smooth operation of entire big traffic system, can be coped in time by the guidance to each individual Burst accident, it is ensured that the real-time and accuracy of Route guiding, to adapt to the traffic environment of real-time change.
In the step 300, further includes:
Firstly, carrying out abstract quantization to road network, the pictorial information data that singlechip controller transmits are initialized, it will Each node in figure temporarily assigns an initial value d [Vi] to indicate that it arrives the distance of origin, enable d [Vi]=0, residue section The initial value of point is equal to infinity;
Secondly, distributed iterative solves, the side in multiple relaxation figure, until each nodal value is minimum, node at this moment Value is the shortest distance.
Finally, if nodal value is restrained, illustrating to weigh back there is no negative by the nodal value for calculating all sides in weighted graph Road, and provide shortest path;Otherwise there is negative power circuit.
In the present embodiment, using Bel lman-Ford algorithm, real-time road condition information is associated with routine weight value, with " time cost " is measurement standard, specifies road additional weight grade, gives adaptive improvement Bel lman-Ford algorithm Active path planning, entire calculation is flexible, can be realized asynchronous, real-time, distributed Dynamic Programming.
It further include distributing and weighing to evaluation index according to the degree of concern according to user to each index in the step 300 Weight, need to carry out user before decision to stop the setting of willingness parameter weight, to determine evaluation criterion weight vector, and based on this to Amount carries out optimal parking stall calculating.
The multi -index decision model step is as follows:
Firstly, finding decision scheme collection P={ P1, P2... PnAnd object vector collection G={ L, D, S, R, C }, establish decision Matrix An*5=(aij)n*5
Secondly, by An*5=(aij)n*5Index value normalizes operation, obtains canonical matrix R=(rij)n*5, standardize formula It is as follows:
Wherein, I1、I2It is successively profit evaluation model index set, cost type index set;
Furthermore referring to the evaluation criterion weight vector W={ w of user's input1, w2, w3, w4, w5, calculate the synthesis on parking stall Attribute value Zi(w)=R*wT
Finally, according to attribute value Zi(w) size sorts, and obtains optimal parking stall, synthesized attribute value is bigger, which gets over The wish of user can be met.
The present invention is the individual demand for meeting user's parking, gives best parking stall recommended models, which can give The best parking stall of user's Dynamic recommendation promotes user conveniently to find effective parking stall, and can make full use of parking stall resource, Parking utilization rate, stopping at release pressure are improved, and ensure that the timeliness and reasonability on parking stall.
The system deployment across operation domain mainly is realized using javaEE in the step 400, utilizes singlechip controller Information collection module is realized and a variety of parking management system interface flexibilities with the interface being served by.
In whole system of the invention, in order to ensure the integrality and acquisition means of parking space information and collecting vehicle information Diversity, user inquires target parking lot-related information using cell phone client or wechat public platform, according to the field of offer Target parking lot is driven towards in outer pathway guidance;Enter a certain parking lot from vehicle, which identifies vehicle License plate is stored in the parking data library and updates the remaining parking stall number in the parking lot;It, can be according to field if there is guide demand Interior Route guiding quickly reaches parking stall;Parking finishes, and user is swept by the NFC or two dimensional code of client to be swept function and read respectively Parking space information NFC label and two dimensional code acquire parking space information, the corresponding parking space information of vehicle are sent to server, so as to information Processing and update;When user finishes thing and to look for vehicle to leave, the reverse car search function of cell phone client can be used, depending on circumstances whether It needs to open and looks for vehicle Route guiding, realize and quickly look for vehicle;When user is driven out to parking lot, system is acquired according to entrance access control system The information update database arrived.
The above, the above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations;Although referring to before Stating embodiment, invention is explained in detail, those skilled in the art should understand that: it still can be to preceding Technical solution documented by each embodiment is stated to modify or equivalent replacement of some of the technical features;And these It modifies or replaces, the spirit and scope for technical solution of various embodiments of the present invention that it does not separate the essence of the corresponding technical solution.

Claims (9)

1. a kind of underground parking lot shutdown system, characterized by the following steps:
Step 100, acquisition parking data, are established entrance management system, are carried out writing card to label using RFID reader, work as vehicle Hair fastener is carried out according to parking space information when entering, clearing are carried out when vehicle leaves and transmit updated parking stall to Cloud Server Information realizes the parking space information real-time update of cloud server;
Step 200 establishes vacancy of parking lots detection model, and the real-time parking stall image in parking lot is passed to image processor, Real-time parking stall image is handled according to machine vision, finds out vacancy, and parking stall service condition is passed to the pipe of inlet Reason system;
Step 300, setting route guidance system, are detected using parking sensor in parking lot and read the parking stall in vehicle tag Information, and store the relevant information of the parking lot parking area Nei Ge and parking stall and reach the path of this position, enter parking for vehicle It is instructed position;
Step 400 builds distal end vacancy inquiry wechat platform, and wechat public platform is arranged, can inquire the parking lot for wanting inquiry Information, because being waited without parking stall after avoiding the problem that parking lot;
Step 500, connection remote server, user is swept by the NFC or two dimensional code of client to be swept function and reads parking stall respectively Information NFC label and two dimensional code acquire parking space information, the corresponding parking space information of vehicle are sent to server, so as to information processing With update.
2. a kind of underground parking lot shutdown system according to claim 1, it is characterised in that: in the step 100, also wrap It includes:
Firstly, one is arranged on each parking stall using singlechip controller as the hardware monitoring platform of core, periphery setting is red Outer sensor and WIFI module;
Then, the data information detected using singlechip controller receiving sensor, and hardware is established by WIFI module and is put down The bridge communicated between platform and server;
The specific location on parking stall is numbered again;
Finally, the collected data of sensor will be uploaded onto the server middle carry out data processing by communication mechanism.
3. a kind of underground parking lot shutdown system according to claim 1, it is characterised in that: in the step 200, also wrap It includes:
First: from the camera in parking lot intercept each parking stall it is unoccupied when picture;
Secondly, using on each parking stall singlechip controller obtain current image, and at this time picture complete filtering and Gray processing processing;
Furthermore carry out feature extraction: label, foreground detection processing, the image binaryzation of idle parking stall are handled, at open and close operator The calculating of reason and parking stall profile inquiry and respective area;
Finally, being marked according to the information after operation to parking lot free time parking stall, before finally calibrated information is transmitted to Platform management system does homework for the road guidance after idle parking stall measure.
4. a kind of underground parking lot shutdown system according to claim 3, it is characterised in that: in the step 200, parking lot Vacancy detection model further includes the parking stall database for importing historical data for the first time and the vehicle for constantly updating real-time parking space information Position database, and using be based on Bayesian network model come parking stall prediction model.
5. a kind of underground parking lot shutdown system according to claim 4, it is characterised in that: the Bayesian network model Building needs multivariable conditional sampling, and Joint Distribution is divided into marginal probability distribution:
If the joint distribution function of n variable is P (X1..., Xn), calculation formula such as following formula:
P(X1..., Xn)=P (X1)P(X1|X2)...P(Xn|X1..., Xn-1)
In formula, XiIndicate vector X=(X1..., Xn) in element, P (Xn|X1..., Xn-1) indicate in condition (X1..., Xn) Under there is XnProbability, then forIt enablesFor element X1Father node,Independently of remaining variables, joint Probability distribution indicates as follows:
6. a kind of underground parking lot shutdown system according to claim 1, it is characterised in that: in the step 300, also wrap It includes:
Firstly, carrying out abstract quantization to road network, the pictorial information data that singlechip controller transmits are initialized, it will be in figure Each node temporarily assign an initial value d [Vi] to indicate that it arrives the distance of origin, enable d [Vi]=0, remaining node Initial value is equal to infinity;
Secondly, distributed iterative solves, the side in multiple relaxation figure, until each nodal value is minimum, nodal value at this moment is The shortest distance.
Finally, if nodal value is restrained, illustrated there is no negative power circuit by the nodal value for calculating all sides in weighted graph, And provide shortest path;Otherwise there is negative power circuit.
7. a kind of underground parking lot shutdown system according to claim 1, it is characterised in that: in the step 300, further include According to user to the degree of concern of each index, weight is distributed to evaluation index, needs to carry out parking wish to user before decision Parameters weighting setting to determine evaluation criterion weight vector, and carries out optimal parking stall calculating based on this vector.
8. a kind of underground parking lot shutdown system according to claim 7, it is characterised in that: the multi -index decision model step It is rapid as follows:
Firstly, finding decision scheme collection P={ P1, P2... PnAnd object vector collection G={ L, D, S, R, C }, establish decision matrix An*5=(aij)n*5
Secondly, by An*5=(aij)n*5Index value normalizes operation, obtains canonical matrix R=(rij)n*5, standardize the following institute of formula Show:
Wherein, I1、I2It is successively profit evaluation model index set, cost type index set;
Furthermore referring to the evaluation criterion weight vector W={ w of user's input1, w2, w3, w4, w5, calculate the synthesized attribute on parking stall Value Zi(w)=R*wT
Finally, according to attribute value Zi(e) size sorts, and obtains optimal parking stall, and synthesized attribute value is bigger, which can more accord with Share the wish at family.
9. a kind of underground parking lot shutdown system according to claim 1, it is characterised in that: main benefit in the step 400 The system deployment across operation domain is realized with javaEE, utilizes information collection module and the interface that is served by of singlechip controller It realizes and a variety of parking management system interface flexibilities.
CN201811584525.9A 2018-12-24 2018-12-24 Underground parking lot parking system Pending CN109523827A (en)

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Cited By (4)

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CN110111599A (en) * 2019-04-24 2019-08-09 网链科技集团有限公司 A kind of parking induction method based on big data, terminal device and storage medium
CN111627246A (en) * 2020-06-12 2020-09-04 桂林电子科技大学 Intelligent parking space recommendation method based on image recognition and user preference
CN113781826A (en) * 2021-09-03 2021-12-10 中通服和信科技有限公司 Intelligent park management system based on 5G
CN114999200A (en) * 2022-05-23 2022-09-02 田萍 Auxiliary parking method and system applied to intelligent automobile

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