CN113611127A - Underground parking lot parking space guiding system based on Internet of things and cloud computing - Google Patents
Underground parking lot parking space guiding system based on Internet of things and cloud computing Download PDFInfo
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- CN113611127A CN113611127A CN202110912536.0A CN202110912536A CN113611127A CN 113611127 A CN113611127 A CN 113611127A CN 202110912536 A CN202110912536 A CN 202110912536A CN 113611127 A CN113611127 A CN 113611127A
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/042—Detecting movement of traffic to be counted or controlled using inductive or magnetic detectors
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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
- G08G1/0968—Systems involving transmission of navigation instructions to the vehicle
- G08G1/096855—Systems involving transmission of navigation instructions to the vehicle where the output is provided in a suitable form to the driver
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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
- G08G1/145—Traffic control systems for road vehicles indicating individual free spaces in parking areas where the indication depends on the parking areas
- G08G1/148—Management of a network of parking areas
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/04—Network architectures or network communication protocols for network security for providing a confidential data exchange among entities communicating through data packet networks
- H04L63/0428—Network architectures or network communication protocols for network security for providing a confidential data exchange among entities communicating through data packet networks wherein the data content is protected, e.g. by encrypting or encapsulating the payload
- H04L63/0478—Network architectures or network communication protocols for network security for providing a confidential data exchange among entities communicating through data packet networks wherein the data content is protected, e.g. by encrypting or encapsulating the payload applying multiple layers of encryption, e.g. nested tunnels or encrypting the content with a first key and then with at least a second key
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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
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/1097—Protocols in which an application is distributed across nodes in the network for distributed storage of data in networks, e.g. transport arrangements for network file system [NFS], storage area networks [SAN] or network attached storage [NAS]
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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
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B20/00—Energy efficient lighting technologies, e.g. halogen lamps or gas discharge lamps
- Y02B20/40—Control techniques providing energy savings, e.g. smart controller or presence detection
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Abstract
The invention discloses an underground parking lot parking space guiding system based on the Internet of things and cloud computing. According to the invention, data collection is carried out through a user layer, and the parking space guidance information is transmitted to a user side; judging whether the parking space is idle or not through the sensing layer, and positioning and identifying the vehicle and guiding the LED lamp strip; and path calculation is carried out through the decision layer, and the path is uploaded to the cloud for storage and secondary encryption, so that the data security is ensured. The invention can accelerate the parking efficiency of the driver, and can perform secondary guidance after the target parking space is occupied, and simultaneously, the data security of the target parking space is ensured by adopting a secondary secret key encryption mode.
Description
Technical Field
The invention belongs to the technical field of intelligent parking, and particularly relates to a parking space guidance system based on an internet of things technology and a cloud computing technology.
Background
With the improvement of living standard of people, the automobile keeping quantity of China is continuously improved, and more residents use the automobile as a main travel tool. However, finding parking spaces after going out has become one of the key problems affecting people's traveling experience.
To large-scale market underground parking garage, the ubiquitous parking stall lacks effective guide, and the driver can only circuitous, the blind problem of looking for the vacant parking stall. And the parking guidance system that has been used at present can not guide the car owner to find the parking stall accurately effectively.
Because the conventional parking guidance system only informs the driver of the available parking space and the number of the parking spaces in the target area, but does not prompt the driver whether other vehicles drive into the parking space or not and does not inform the driver whether other vehicles are parking in the area or not. Especially when the parking space is occupied by other vehicles, the secondary guiding function is not provided. In this case, the parking efficiency of the driver is greatly reduced.
In addition, the traditional parking management system has insufficient guarantee on the safety and confidentiality of user data, and information leakage is easy to cause;
disclosure of Invention
In order to overcome the defects of the prior art, the invention provides the parking space guidance system which is based on the combination of the internet of things technology and the cloud computing technology and can ensure secondary guidance and information safety.
In order to achieve the purpose, the technical scheme of the invention is as follows:
the utility model provides an underground parking garage parking stall bootstrap system based on internet of things and cloud computing technology, includes user layer, perception layer, decision-making layer, wherein:
the user layer comprises a vehicle-mounted machine large screen, a mobile phone client, an electronic bulletin board and the like, wherein the vehicle-mounted machine large screen is used for receiving parking space information, bulletin information and parking space guide information of a parking lot; the mobile phone client can meet the functions and assist in vehicle positioning, and positioning is carried out through mobile phone label information when the sensing layer cannot acquire vehicle positioning information;
the sensing layer is a ZigBee terminal node and consists of a CC2530 single chip microcomputer, a geomagnetic sensor, an RFID reader and an LED lamp strip. The geomagnetic sensor is arranged on the parking space and used for judging whether the parking space is free or not; the RFID readers are arranged above the lanes and the parking spaces and used for positioning and identifying vehicles; the LED lamp strip is arranged beside the traffic lane and used for guiding the vehicle to drive to the parking space;
the decision layer comprises a ZigBee coordinator, an upper computer and a server. The ZigBee coordinator periodically receives the information of the idle parking spaces and the vehicles transmitted by the ZigBee terminal nodes, the ZigBee coordinator forwards the information to the upper computer through the serial port, the upper computer calculates the optimal parking path according to the information through a preset improved Dijkstra algorithm, the optimal parking path is transmitted to the terminal nodes through the ZigBee network, and the LED lamp belts are controlled, so that the vehicles are guided to drive into the distributed parking spaces. Meanwhile, the related data are uploaded to the cloud for calculation and storage, and information feedback is carried out through the cloud and the user layer;
in order to ensure the security of data, a third party TPA, an RSA algorithm, a DES algorithm and a Hash function are introduced to provide a complete, safe and confidential storage scheme for cloud computing, and encryption, decryption and authentication of data information can be realized through secondary encryption storage.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the invention, through setting the user layer, the sensing layer and the decision layer, the convenient identification operation of the vehicle is realized, the planning and the guidance of the driving path are realized through the identification of the parking places and the control of the light, the parking information is fed back to the user layer and can be known by the large screen of the vehicle and the mobile phone end, so that the parking time is less, and the parking efficiency is improved;
2. when the parking space is occupied by other parking spaces in the parking process, the parking space is anchored again, and path planning and guidance are carried out again, so that the operation efficiency of the parking system is improved;
3. the acquired related data is stored in the cloud, and the security and confidentiality of the data can be better ensured through a twice key encryption mode.
Drawings
The present invention will be described in further detail with reference to the accompanying drawings and specific embodiments.
FIG. 1 is a block diagram of a path planning guidance process;
FIG. 2 is a schematic view of a parking lot structural model;
FIG. 3 is a non-directional right map of the parking lot structure S → P2;
FIG. 4 is an overview of a parking guidance system;
FIG. 5 is a parking guidance system work flow diagram;
FIG. 6 is a diagram of a geomagnetic sensing module;
fig. 7 is a diagram of data information encryption security storage based on cloud computing.
Detailed Description
The technical solutions in the embodiments of the present invention will be described clearly and completely with reference to the drawings in the drawings of the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the present invention, and not all of the contents. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The invention aims to overcome the inconvenience of the parking space guide system of the underground parking lot and provides the parking space guide system of the underground parking lot based on the Internet of things technology and the cloud computing technology. The parking space guidance system of the underground parking lot based on the Internet of things technology and the cloud computing technology has the advantages that equipment is convenient to install, parking space guidance, secondary guidance functions, data safety storage and the like.
The equipment installation, see fig. 5 and 6, includes the following specific steps:
step 1: LED lamp belts are arranged on two sides of the lane line and used for guiding functions;
step 2: the parking space is provided with a geomagnetic sensor for sensing the state of the parking space and judging whether a vehicle is parked or not;
and step 3: arranging an electronic bulletin board at the entrance of the parking lot for publishing parking space information and other bulletins of the parking lot; and simultaneously, an APP program is developed for information release of the user side, driver and vehicle type information is collected, and the binding operation of the mobile phone and the system is realized.
Before a car enters a parking lot, license plate recognition is usually carried out, and the process is an information interaction process.
The decision-making layer is according to the interior parking stall condition in the parking area to use the nearest principle of being apart from the elevator, adopts improved generation Dijkstra algorithm to calculate optimal route, compares in traditional Dijkstra algorithm, can reduce the calculated amount by a wide margin, improves computational rate, and concrete algorithm implementation step includes:
step 1: searching for an idle parking space within a set radius range by taking the elevator as a circle center, and if the idle parking space is found, comparing the obtained paths to determine a shortest path parking space;
step 2: and (4) after the step 1 is completed, if the parking space is not found, expanding the search range, and increasing the radius according to a set value in each search until an idle parking space is found. All empty parking spaces are stored in a set P, and each empty parking space in the set P is recorded as PiI is the number of searched empty parking space nodes;
P＝{P1，P2，P3，P4……Pi-1，Pi}
and step 3: according to the size standard of the parking spaces, the width of the parking spaces is defined to be 2.5m, the length of the parking spaces is defined to be 5m, the width of a road is defined to be 5m, and a specific weight from each parking space to an inflection point is calculated;
and 4, step 4: and updating the path weight from the entrance to the empty parking space P, comparing to obtain the shortest path weight, and obtaining the shortest driving path. As illustrated according to fig. 2, P2 is the empty parking space closest to the elevator shaft. The shortest path of S → P2 follows the Dijkstra algorithm:
the shortest path is deduced as S → E7(E1) → E8 → P2, the form length being 51.25m, see fig. 3;
and the upper computer of the decision layer sends the calculated parking space number and the parking path to a user layer, namely a mobile phone with a large screen and bound with an APP.
And when the vehicle starts to drive into the parking lot, the RFID reader on the sensing layer reads the passive tag in the vehicle, determines the position of the vehicle and synchronously feeds the position back to the ZigBee coordinator, and the coordinator downloads the LED lamp strip beside the lane according to the instruction of the upper computer to guide the vehicle to reach a preset target parking space. And if the vehicle smoothly reaches the target parking space, the parking space guidance is finished.
And if the target parking space is occupied by other vehicles in the parking process of the vehicle, the upper computer starts to recalculate, and repeats the steps 1-4 to obtain a new target node to complete secondary guidance, which is shown in the figure 1 and the figure 4.
In order to ensure the security of data such as user data, vehicle positions and the like, a complete, safe and confidential storage scheme is provided for cloud computing by introducing a third party TPA, an RSA algorithm, a DES algorithm and a Hash function, and encryption, decryption and authentication of data information can be realized through secondary encryption storage, as shown in FIG. 7, the specific scheme comprises the following steps:
step 1: generating a secret key, namely generating a pair of secret keys (a private key and a public key) by using an RSA algorithm through an upper computer and a trusted third party TPA;
step 2: sharing a secret key, namely, realizing a secret key set on a TPA and an upper computer, and realizing the secret key set by using an information security encryption channel and a sharing secret key on the upper computer through the TPA;
and step 3: encryption, namely E encryption of the F data information file is carried out on the upper computer by using a public key, and then Hash operation is carried out to generate a Hash abstract; secondly, encrypting E by using a TPA public key twice, encrypting the Hash abstract by using the TPA public key, transmitting two data packets generated in the process, path planning data, parking space data, vehicle state data and the like of an additional upper computer to the TPA, and storing the Hash abstract of data information by using the TPA, thereby effectively ensuring the data integrity;
and 4, step 4: when the file is required to be verified to be correct or not, the data file stored in the cloud server can be sent to the TPA after being encrypted and processed by the DES. Firstly, data are decrypted by a DES storage random key K, then TPA is generated, an encrypted file digest is obtained from a cloud server, a Hash digest is decrypted by the TPA, the generated Hash digest is compared, and the result is consistent, that is, the result shows that the data file is not modified, that is, the data file is safe.
The involved parking process data include, but are not limited to: geomagnetic data, parking space state data, vehicle position data, navigation path planning data, parking lot announcement and navigation path data;
the invention is not the best known technology.
The above embodiments are merely illustrative of the technical ideas and features of the present invention, and the purpose thereof is to enable those skilled in the art to understand the contents of the present invention and implement the present invention, and not to limit the protection scope of the present invention. All equivalent changes and modifications made according to the spirit of the present invention should be covered within the protection scope of the present invention.
Claims (3)
1. Underground parking garage parking stall bootstrap system based on thing networking and cloud calculate, including user layer, perception layer, decision-making layer, its characterized in that:
the user layer comprises a mobile phone client and an electronic bulletin board; the mobile phone client is used for receiving parking space information, announcement information and parking space guide information of the parking lot; the electronic bulletin board is positioned at the entrance of the parking lot and used for publishing parking space information of the parking lot;
the sensing layer is a ZigBee terminal node and consists of a CC2530 single chip microcomputer, a geomagnetic sensor, an RFID reader and an LED lamp belt; the geomagnetic sensor is arranged on the parking space and used for judging whether the parking space is free or not; the RFID readers are arranged above the lanes and the parking spaces and used for positioning and identifying vehicles; the LED lamp strip is arranged beside the traffic lane and used for guiding the vehicle to drive to the parking space;
the decision layer comprises a ZigBee coordinator, an upper computer and a cloud server; the ZigBee coordinator periodically receives the information of idle parking spaces and vehicles transmitted from the ZigBee terminal nodes, the ZigBee coordinator forwards the information to the upper computer through the serial port, the upper computer calculates an optimal parking path according to the information through a preset improved Dijkstra algorithm, the optimal parking path is transmitted to the ZigBee terminal nodes through the ZigBee network, and the LED lamp belts are controlled, so that the vehicles are guided to drive into the distributed parking spaces; and meanwhile, the upper computer is communicated with a server at the cloud end for calculation and storage, information feedback is carried out through the cloud server and the user layer, and if the target parking space is occupied by other vehicles in the parking process of the vehicles, the parking path is recalculated to obtain a new parking space, so that secondary guidance is completed.
2. The Internet of things and cloud computing based underground parking lot stall guiding method according to claim 1, characterized in that: and the mobile phone client carries out positioning through mobile phone label information when the sensing layer cannot acquire the vehicle positioning information.
3. The Internet of things and cloud computing based underground parking lot stall guiding method according to claim 1, characterized in that: the user layer further comprises a vehicle-mounted machine large screen and is also used for receiving parking space information, announcement information and parking space guide information of the parking lot.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN114882724A (en) * | 2022-03-10 | 2022-08-09 | 浙江宏远智能科技有限公司 | Parking guide system and parking guide method |
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