CN113825112B - Intelligent parking system and method based on Internet of things - Google Patents
Intelligent parking system and method based on Internet of things Download PDFInfo
- Publication number
- CN113825112B CN113825112B CN202111000124.6A CN202111000124A CN113825112B CN 113825112 B CN113825112 B CN 113825112B CN 202111000124 A CN202111000124 A CN 202111000124A CN 113825112 B CN113825112 B CN 113825112B
- Authority
- CN
- China
- Prior art keywords
- parking
- parking space
- local server
- mobile terminal
- route
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/30—Services specially adapted for particular environments, situations or purposes
- H04W4/33—Services specially adapted for particular environments, situations or purposes for indoor environments, e.g. buildings
Abstract
The invention discloses an intelligent parking system and method based on the Internet of things, wherein the system comprises: the system comprises a mobile terminal, a local server, a WiFi module and at least one source positioning card; the mobile terminal is used for sending a first request for obtaining a target parking space to the local server; the local server is configured to receive the first request, form a first location of at least one target parking space according to a wireless network access point of the WiFi module in response to the first request, obtain a second location of the at least one target parking space according to the first location and the source location card, determine an optimal parking route from a parking space map, and send the optimal parking route to the mobile terminal. The target parking space is accurately positioned in the underground large-scale parking lot, and the optimal parking route is planned according to the second positioning, so that a vehicle owner parks according to the optimal parking route, and the parking efficiency and the parking space utilization rate are improved.
Description
Technical Field
The invention relates to the technical field of Internet of things, in particular to an intelligent parking system and method based on the Internet of things.
Background
The parking lot charging management system manages the work of vehicle access, traffic flow guidance and parking fee charging of a parking lot through a computer, network equipment and lane management equipment, and is a necessary tool for large parking lots. The existing large parking lot is usually built underground, and is different from an overground parking lot, the underground parking lot has the characteristics of dark light, weak GPS positioning signal, complex underground environment and the like, and in the face of a plurality of areas of the large underground parking lot, when a car owner parks in the parking lot for the first time or drives and leaves in the parking lot again, the car owner needs to perform the action of searching for a parking space.
When the number of free parking spaces in the parking lot is small, due to the large area and the complex route, a single parking space and the parking spaces in remote corners are not easy to be found by the car owners, the utilization rate of the parking spaces is reduced, the car owners need to wind again after missing the parking spaces on a one-way road, and the free parking spaces in the way of the winding are likely to be stopped by other car owners; when the car owner enters the parking lot again and drives away, if the car owner forgets the parking space area, a lot of time is spent to walk around to find the parking space.
Therefore, the prior art is difficult to accurately position in an underground large-scale parking lot, the time for a car owner to search for a parking space is too long, and the problems of low parking efficiency and low parking space utilization rate exist.
Disclosure of Invention
The invention mainly aims to provide an intelligent parking system and method based on the Internet of things, and aims to solve the technical problems that in the prior art, accurate positioning is difficult in an underground large-scale parking lot, the time for a car owner to search for a parking space is too long, the parking efficiency is low, and the utilization rate of the parking space is low.
In order to achieve the purpose, the invention provides an intelligent parking system based on the internet of things, which comprises a mobile terminal, a local server, a WiFi module and at least one source positioning card, wherein the source positioning card is arranged in the range of a parking space and is connected with the local server, and a parking space map is stored in the local server; wherein, the first and the second end of the pipe are connected with each other,
the mobile terminal is used for sending a first request for obtaining a target parking space to the local server;
the local server is used for receiving the first request, responding to the first request, forming a first location of at least one target parking space according to a wireless network access point of the WiFi module, obtaining a second location of at least one target parking space according to the first location and the source location card, determining an optimal parking route from the parking space map according to the second location, and sending the optimal parking route to the mobile terminal.
Optionally, the system further includes at least one infrared sensing module, where the infrared sensing module is disposed in a parking space range and connected to the local server;
the local server is further configured to respond to the first request, acquire real-time infrared detection information of at least one infrared sensing module, judge whether a parking space where the infrared sensing module is located is parked by a vehicle according to the real-time infrared detection information, and determine the parking space which is not parked by the vehicle as a target parking space when at least one parking space which is not parked by the vehicle exists.
Optionally, the system further includes a barrier module, at least one identification camera is disposed on the barrier module, the barrier module and the identification camera are connected to the local server, and the mobile terminal includes a GPS positioning module;
the mobile terminal is also used for controlling the GPS positioning module to position a first initial position of the mobile terminal and sending the user information of the user of the mobile terminal and the first initial position to the local server;
the local server is further configured to receive the user information and the first initial position, acquire vehicle information, collected by the recognition camera, of the user driving, store the user information and the vehicle information in a database, and control the barrier gate module to open the barrier gate corresponding to the first initial position.
Alternatively,
the local server is further configured to determine at least one parking route from the parking lot map according to the first initial position and the second positioning, calculate a route with a shortest route in the at least one parking route according to dijkstra's algorithm, and take the route with the shortest route as the optimal parking route.
Alternatively,
the local server is further used for storing the position information of the target parking space into the database when the target parking space is parked by the vehicle; wherein the position information of the target parking space corresponds to the user information and/or the vehicle information;
the mobile terminal is further used for controlling the GPS positioning module to position a second initial position of the mobile terminal, and sending a second request of the user for searching the vehicle and the second initial position to the local server; wherein the second request comprises user information of the user and/or the vehicle information;
the local server is further configured to search, in response to the second request, the position information of the target parking space corresponding to the second request in the database according to the user information and/or the vehicle information, and determine an optimal route from the second initial position to the target parking space from the parking space map.
Alternatively,
the local server is further used for recording the parking time of the vehicle to the database when the target parking space is parked by the vehicle;
the local server is further used for deleting the parking time of the vehicle in the database when the user drives the vehicle to leave the parking lot.
Optionally, the system further comprises an environment detection module and a cloud server, wherein the cloud server is respectively connected with the local server and the mobile terminal, and the environment detection module is arranged in the parking lot and connected with the local server;
the local server is further used for obtaining the environment condition of the parking lot through the environment detection module; wherein the environmental condition comprises a temperature and/or humidity condition;
the mobile terminal is further used for sending a third request for acquiring the environment condition of the parking lot to the cloud server;
the cloud server 60 is configured to respond to the third request, obtain the environment condition of the parking lot through the local server, and send the environment condition to the mobile terminal.
Optionally, the system further comprises at least one monitoring camera arranged in a preset area of the parking lot, and the identification camera is connected with the local server;
the local server is further used for monitoring the type of the vehicle parked in the preset area of the parking lot through the monitoring camera, and if the type does not belong to the preset vehicle type, a first alarm signal is generated.
Alternatively,
the local server is further used for monitoring vehicle gathering points in the parking lot through the monitoring cameras, and generating a second alarm signal when the vehicle gathering points occur.
In addition, in order to achieve the above object, the present invention further provides an intelligent parking method based on the internet of things, which is applied to a local server, wherein the local server stores a parking space map, the local server is respectively connected with a WiFi module and at least one source locator card, and the source locator card is arranged in the range of the parking space;
the method comprises the following steps:
receiving a first request for acquiring a target parking space sent by a mobile terminal;
in response to the first request, forming a first location of at least one target parking space according to a wireless network access point of the WiFi module;
obtaining a second location of at least one target parking space according to the first location and the source location card;
and determining an optimal parking route from the parking space map according to the second positioning, and sending the optimal parking route to the mobile terminal.
The invention provides an intelligent parking system based on the Internet of things, which comprises a mobile terminal, a local server, a WiFi module and at least one source positioning card, wherein the source positioning card is arranged in the range of a parking space and is connected with the local server, and a parking space map is stored in the local server; the mobile terminal is used for sending a first request for obtaining a target parking space to the local server; the local server is configured to receive the first request, form a first location of at least one target parking space according to a wireless network access point of the WiFi module in response to the first request, obtain a second location of at least one target parking space according to the first location and the source location card, determine an optimal parking route from the parking space map, and send the optimal parking route to the mobile terminal.
According to the invention, the first positioning is formed through the wireless network access point of the WiFi module, the second positioning is formed according to the first positioning and the source positioning card, the accurate positioning of the target parking space is realized in the underground large-scale parking lot, and the optimal parking route is planned according to the second positioning, so that a vehicle owner parks according to the optimal parking route, and the parking efficiency and the parking space utilization rate are improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
Fig. 1 is a structural block diagram of a first embodiment of an intelligent parking system based on the internet of things;
FIG. 2 is a block diagram of a second embodiment of the intelligent parking system based on the Internet of things;
FIG. 3 is a block diagram of a third embodiment of the intelligent parking system based on the Internet of things;
fig. 4 is a structural block diagram of a fourth embodiment of the intelligent parking system based on the internet of things according to the invention;
fig. 5 is a structural block diagram of a fifth embodiment of the intelligent parking system based on the internet of things according to the invention;
fig. 6 is a flowchart of a first embodiment of the intelligent parking method based on the internet of things.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and do not limit the invention.
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. 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.
Where "first" and "second" are used in the description and claims of embodiments of the invention to distinguish between similar elements and not necessarily for describing a particular sequential or chronological order, it is to be understood that such data may be interchanged where appropriate so that embodiments described herein may be implemented in other sequences than those illustrated or described herein.
Referring to fig. 1, fig. 1 is a block diagram illustrating a first embodiment of an intelligent parking system based on the internet of things according to the present invention. The system comprises a mobile terminal, a local server, a WiFi module 110 and at least one source positioning card 130, wherein the source positioning card is arranged in the range of a parking space and is connected with the local server, and the local server stores a parking space map; wherein the content of the first and second substances,
the mobile terminal 20 is configured to send a first request for obtaining a target parking space to the local server;
the local server 40 is configured to receive the first request, form a first location of at least one target parking space according to a wireless network access point of the WiFi module in response to the first request, obtain a second location of the at least one target parking space according to the first location and the source location card, determine an optimal parking route from the parking space map according to the second location, and send the optimal parking route to the mobile terminal.
It should be noted that the intelligent parking system based on the internet of things comprises a mobile terminal, a local server, a WiFi module and at least one source locator card. The mobile terminal may be a User Equipment (UE) such as a mobile phone, a smart phone, a notebook computer, a digital broadcast receiver, a Personal Digital Assistant (PDA), a tablet computer (PAD), a handheld device, a vehicle-mounted device, a wearable device, a computing device or other processing device connected to a wireless modem, a Mobile Station (MS), or the like. The mobile terminal can be installed with a client program of the intelligent parking system based on the Internet of things, and a user can send a request to the local server through the client program and receive a processing result of the local server.
In general, a server is a type of computer that provides computing or application services to other terminal devices in a network. It is understood that the local server may be a physical server, which is stored locally and provides computing or application services for other terminal devices locally. The WiFi module is provided with a wireless network Access Point (AP), and a wired network is converted into a wireless network through the wireless network Access Point, so that network resources are accessed through the wireless network. Through the WiFi module, meter-level positioning can be carried out, and the effect of high positioning speed is achieved. The source positioning card can be a passive positioning card, is arranged in the parking range of each parking space, and determines the positions of the parking spaces through the receiving and sending of signals. On the basis of meter-level positioning through the WiFi module, the source positioning card can be further positioned to improve the positioning accuracy.
In this embodiment, the source locator card is disposed within a parking space range and connected to the local server, and the local server stores a parking space map, where the parking space map is pre-entered into a database of the local server by a worker. When a user drives a car into a parking lot, a first request for obtaining a target parking space is sent to a local server through a mobile terminal, the local server receives the first request, responds to the first request, forms a first positioning of at least one target parking space according to a wireless network access point of a WiFi module, forms a second positioning of the target parking space according to the first positioning and a source positioning card, determines an optimal parking route to the position where the second positioning is located from a parking space map according to the second positioning, and sends the optimal parking route to the mobile terminal. Wherein the target parking space is a parking space not accommodated by the vehicle. The second positioning is carried out according to the first positioning and the source positioning card, so that the positioning speed is improved, and the positioning precision is improved.
Further, referring to fig. 2, fig. 2 is a structural block diagram of a second embodiment of the intelligent parking system based on the internet of things according to the present invention. The system also comprises at least one infrared induction module 150, wherein the infrared induction module is arranged in the range of the parking space and is connected with the local server;
the local server 40 is further configured to, in response to the first request, obtain real-time infrared detection information of at least one infrared sensing module, determine whether a parking space where the infrared sensing module is located is parked by a vehicle according to the real-time infrared detection information, and determine, when there is at least one parking space that is not parked by the vehicle, the parking space that is not parked by the vehicle as a target parking space.
It should be noted that, intelligence parking system based on thing networking still includes at least one infrared induction module, and infrared induction module can be correlation formula infrared sensor, sets up in the parking scope on every parking stall, through infrared sensor's infrared detection information, can judge whether there is the vehicle to park in the parking stall at infrared sensor place. The infrared detection information may be distance measurement information, and whether an obstacle exists in a preset range is determined according to an actual distance measurement distance, specifically, if the preset range is 0-1.2 m, when the actual distance measurement distance is in the preset range, it is indicated that an obstacle exists, that is, a vehicle stops at a parking space where the infrared sensor is located.
In this embodiment, the local server is connected to the infrared sensing module, responds to a first request for obtaining a target parking space from the mobile terminal, obtains real-time infrared detection information through the infrared sensing module, and determines whether a vehicle is parked in a parking space where the infrared sensing module is located according to the real-time infrared detection information, and when at least one parking space which is not parked by the vehicle exists, indicates that an idle parking space exists, and determines the parking space which is not parked as the target parking space; if no parking space which is not parked by the vehicle exists, the fact that the vehicle space is full is indicated.
Further, referring to fig. 3, fig. 3 is a structural block diagram of a third embodiment of the intelligent parking system based on the internet of things according to the present invention. The system further comprises a barrier gate module 170, at least one identification camera is arranged on the barrier gate module, the barrier gate module and the identification camera are connected with the local server, and the mobile terminal comprises a GPS positioning module;
the mobile terminal 20 is further configured to control the GPS positioning module to position a first initial position of the mobile terminal, and send user information of a user to which the mobile terminal belongs and the first initial position to the local server;
the local server 40 is further configured to receive the user information and the first initial position, acquire vehicle information of the user driving acquired by the recognition camera, store the user information and the vehicle information in a database, and control the barrier gate module to open the barrier gate corresponding to the first initial position.
It should be noted that, the intelligent parking system based on the internet of things further includes a barrier gate module, the barrier gate module is arranged on each entrance and exit of the parking lot, and at least one identification camera is arranged on the barrier gate module, and preferably, the identification cameras are arranged on the barrier gate module in pairs. The recognition camera may collect information of a vehicle driven by the user, for example, a license plate number of the user. The mobile terminal comprises a GPS positioning module, and the position of the mobile terminal can be positioned through the GPS positioning module.
In this embodiment, when a user drives into a parking lot, the user logs in a client program of the intelligent parking system based on the internet of things through the mobile terminal and inputs user information, at this time, the mobile terminal positions a first initial position of the mobile terminal through the GPS positioning module and sends the user information and the first initial position to the local server. The local server acquires the vehicle information of the vehicle driven by the user and collected by the identification camera after receiving the user information and the first initial position, and stores the vehicle information and the user information in the database in an associated manner. And after the information related to the parking record is stored in the database, the local server controls the barrier gate module to open the barrier gate corresponding to the first initial position.
It can be understood that a user usually inputs parking information before entering a parking lot, the barrier gate module is in a closed state at the moment, and after the user successfully inputs the parking information, the barrier gate module closest to the vehicle of the user can be known according to the first initial position where the user is located, so that the barrier gate module is controlled to open the barrier gate. Optionally, the barrier module closest to the vehicle of the user is known by the identification camera according to the collected vehicle information of the user.
Further, the local server 40 is further configured to determine at least one parking route from the parking lot map according to the first initial position and the second positioning, calculate a route with a shortest route in the at least one parking route according to a dijkstra algorithm, and take the route with the shortest route as the optimal parking route.
It should be noted that the first initial position is a position where the mobile terminal is located, and is usually also a position where the user is located, and the second positioning is precise positioning of the target parking space.
It can be understood that, after the local server obtains the first initial position and the second location, at least one parking route may be determined from the parking space map, when there is only one second location, there may be a plurality of determined parking routes, a route with the shortest route in the parking routes may be calculated according to Dijkstra algorithm, and the route with the shortest route is taken as the optimal parking route; when a plurality of second positioning exists, a corresponding parking route is determined for each second positioning, and the route with the shortest route in the parking routes corresponding to each second positioning is calculated according to Dijkstra algorithm, so that the shortest route table [ S ] corresponding to the user vehicle where the first initial position is located is obtained 1 ，S 2 ，……，S n ]And shortest line length table L 1 ，L 2 ，……，L n ]In which S is n And L n And correspond to each other. Since there may be a plurality of users parking in the parking lot in the same time slot, the nearest distance W from the positions of the vehicles of the plurality of other users to the target parking space in the shortest line length table is obtained by considering the positions of the vehicles of the plurality of other users n And selecting a parking route from the shortest route list, wherein the parking route can be theoretically parked by the user and is not preempted by others.
Specifically, for each target parking space in the shortest route table, the user vehicle closest to each target parking space among other user vehicles in the parking lot is found and the distance length table [ W ] is determined 1 ，W 2 ，……，W n ]It should be noted that, one user vehicle only has one nearest target parking space, and if there is one target parking space without other user vehicles nearest to the target parking space, the distance length of the target parking space in the distance length table is set as the shortest route length L of the user vehicle where the first initial position is located n . Distance length table [ W ] 1 ，W 2 ，……，W n ]And shortest line length table L 1 ，L 2 ，……，L n ]Performing a one-to-one comparison, when W is n ≥L n Then, the optimal parking route L of the user vehicle at the first initial position can be obtained n Corresponding S n . For example, when there are 4 second locations, the distance length table is [ W ] 1 ＝10，W 2 ＝15，W 3 ＝30，W 4 ＝25]The shortest line length is [ L ] 1 ＝5，L 2 ＝20，L 3 ＝45，L 4 ＝60]If the optimal parking route of the user vehicle at the first initial position is L in the shortest route length table 1 S of =5 1 . In addition, W is n ＝L n In case (2), W needs to be determined n And L n Whether other user vehicles with the shortest distance exist in the target parking space, and if not, the optimal parking route of the user vehicle with the first initial position can be obtained to be L n Corresponding S n 。
It will be appreciated that a uniform vehicle speed limit criterion is defined within the parking lot, and that the driving speeds of individual vehicles generally differ only slightly when the speed limit criterion is complied with, and therefore the speed of different vehicles within the parking lot may or may not be taken into account, and is not limited thereto.
It should be understood that, when the user parks according to the optimal parking route determined by the local server, parking spaces where the user can park can be found more efficiently, and the probability of occupying the parking spaces with other user vehicles is reduced.
Further, the local server 40 is further configured to store the position information of the target parking space into the database when the target parking space is accommodated by the vehicle; the position information of the target parking space corresponds to the user information and/or the vehicle information;
the mobile terminal 20 is further configured to control the GPS positioning module to position a second initial position of the mobile terminal, and send a second request of the user to search for a vehicle and the second initial position to the local server; wherein the second request comprises user information of the user and/or the vehicle information;
the local server 40 is further configured to, in response to the second request, search, according to the user information and/or the vehicle information, the location information of the target parking space corresponding to the second request in the database, and determine an optimal route from the second initial location to the target parking space from the parking space map.
It should be understood that when a parking space is accommodated by a vehicle, the local server needs to record that the parking space is already accommodated by the vehicle, so that other user vehicles no longer target the parking space. In this embodiment, after the user drives the vehicle and parks in the target parking space, the local server detects that the parking space is parked by the vehicle through the infrared sensing module, and then stores the position information of the target parking space in the database, so that it can be understood that the position information of the target parking space and the user information and/or the vehicle information of the user are stored in the database in a correlated manner.
It can be understood that when a user drives a car and leaves the car, the user needs to go to the parking lot again, the user can log in the client program of the intelligent parking system based on the internet of things again through the mobile terminal, so that a second request for searching for the car can be sent to the local server through the mobile terminal, and when the mobile terminal sends the second request, the mobile terminal controls the GPS positioning module to position a second initial position of the mobile terminal, wherein the second initial position is also the position of the user, and the second initial position and the second request are both sent to the local server. Wherein the second request includes user information and/or vehicle information of the user.
And the local server responds to the second request, searches the position information of the target parking space corresponding to the second request in the database according to the user information and/or the vehicle information in the second request, and determines at least one route from the second initial position to the target parking space from the parking space map. It can be understood that, at this time, there is only one target parking space, and the local server may calculate a route with the shortest route in the at least one route according to the dijkstra algorithm, and use the route with the shortest route as an optimal vehicle-finding route.
Further, the local server is also used for recording the parking time of the vehicle to the database when the target parking space is parked by the vehicle;
the local server 40 is further configured to delete the parking time of the vehicle in the database when the user drives the vehicle out of the parking lot.
It is understood that when the target parking space is accommodated by the vehicle, the local server starts to calculate the parking time of the vehicle and updates the parking time to the database in real time. When the user drives a vehicle out of the parking lot, the calculation of the parking time is stopped, the parking fee of the user is settled, and the parking fee is transmitted to the mobile terminal. It should be understood that, after the user completes the settlement of the parking fee through the mobile terminal, the local server deletes the parking time of the user this time.
Referring to fig. 4, fig. 4 is a block diagram illustrating a fourth embodiment of the intelligent parking system based on the internet of things according to the present invention. The system further comprises an environment detection module 190 and a cloud server, wherein the cloud server is respectively connected with the local server and the mobile terminal, and the environment detection module is arranged in the parking lot and connected with the local server;
the local server 40 is further configured to obtain an environmental condition of the parking lot through the environment detection module; wherein the environmental condition comprises a temperature and/or humidity condition;
the mobile terminal 20 is further configured to send a third request for obtaining the parking lot environment condition to the cloud server;
the cloud server 60 is configured to respond to the third request, obtain the environmental condition of the parking lot through the local server, and send the environmental condition to the mobile terminal.
It should be noted that, the intelligent parking system based on the internet of things further comprises a cloud server and an environment detection module, the environment detection module is arranged in the parking lot and connected with the local server, and the cloud server is respectively connected with the mobile terminal and the local server.
It should be understood that when the user is not in the parking lot and cannot connect to the local server, the user can connect to the cloud server through the mobile terminal, so that the environment condition in the parking lot can be acquired through the cloud server. The local server uploads parking lot conditions to the cloud server in real time, wherein the parking lot conditions include but are not limited to environment conditions of the parking lot.
In this embodiment, the local server detects an environmental condition of the parking lot through an environment detection module, wherein the environment detection module may include a temperature detector and a humidity detector, and the environmental condition includes a temperature condition and/or a humidity condition. After the mobile terminal sends a third request for obtaining the environment condition of the parking lot to the cloud server, the cloud server responds to the third request, obtains the environment condition of the parking lot through the parking lot condition uploaded by the local server, and sends the environment condition to the mobile terminal.
Through the steps, the user can obtain the environmental condition of the parking lot even if the user is not in the parking lot, so that the user can make relevant decisions by referring to the environmental condition of the parking lot.
Further, referring to fig. 5, fig. 5 is a structural block diagram of a fifth embodiment of the intelligent parking system based on the internet of things according to the present invention. The system also comprises at least one monitoring camera 210 arranged in a preset area of the parking lot, wherein the identification camera is connected with the local server;
the local server 40 is further configured to monitor the type of the vehicle parked in the preset area of the parking lot through the monitoring camera, and generate a first alarm signal if the type does not belong to the preset vehicle type.
It should be noted that, the intelligent parking system based on the internet of things further includes at least one monitoring camera arranged in a preset area of the parking lot, and the monitoring camera is connected with the local server. The preset area can be a pre-planned exclusive parking space, and the exclusive parking space only allows vehicles of a preset vehicle type to be parked.
In the embodiment, the local server monitors the type of the parked vehicle in the preset area of the parking lot through the monitoring camera, specifically, the monitoring camera takes an image of at least one vehicle, and the image is identified, so that the type of the parked vehicle is identified. If the type of the parked vehicle in the preset area does not belong to the preset vehicle type, the local server generates a first alarm signal. It is understood that in order to improve the accuracy of image recognition, a plurality of surveillance cameras of the machine positions may be provided, and the surveillance camera of each machine position takes an image of at least one vehicle and combines a plurality of images to perform image recognition.
The server is provided with an administrator account and a common account, the server generates first alarm information and sends the first alarm information to the administrator account, and a user holding the administrator account can receive the first alarm signal through the mobile terminal. It can be understood that the first alarm signal can be a warning signal for reminding an administrator of the illegal parking phenomenon in the parking lot so as to remind the administrator of timely handling.
Further, the local server 40 is further configured to monitor a vehicle gathering point in the parking lot through the monitoring camera, and generate a second alarm signal when the vehicle gathering point occurs.
It should be noted that the preset area may also be an area in the parking lot where vehicle aggregation is likely to occur, and the position and the range of the area may be counted by big data. At least one monitoring camera is arranged in an area where vehicles are easy to gather in a parking lot, the position where the vehicles gather is monitored, when a vehicle gathering point appears, safety accidents such as vehicle scratch and the like may happen generally, the local server generates a second alarm signal and sends the second alarm signal to an administrator account, and a user holding the administrator account can receive the second alarm signal through the mobile terminal. It will be appreciated that the second warning signal may be a warning signal to alert an administrator of a possible occurrence of a vehicle safety accident in the parking lot to prompt the administrator to proceed in a timely manner.
It should be noted that, the intelligent parking system based on the internet of things further comprises a ZigBee module, and the communication between each device in the parking lot range can be performed through the ZigBee module.
The invention provides an intelligent parking system based on the Internet of things, which comprises a mobile terminal, a local server, a WiFi module and at least one source positioning card, wherein the source positioning card is arranged in the range of a parking space and is connected with the local server, and a parking space map is stored in the local server; the mobile terminal is used for sending a first request for obtaining a target parking space to the local server; the local server is configured to receive the first request, form a first location of at least one target parking space according to a wireless network access point of the WiFi module in response to the first request, obtain a second location of at least one target parking space according to the first location and the source location card, determine an optimal parking route from the parking space map, and send the optimal parking route to the mobile terminal.
According to the invention, the first positioning is formed through the wireless network access point of the WiFi module, the second positioning is formed according to the first positioning and the source positioning card, the accurate positioning of the target parking space is realized in the underground large-scale parking lot, and the optimal parking route is planned according to the second positioning, so that a vehicle owner parks according to the optimal parking route, and the parking efficiency and the parking space utilization rate are improved.
Referring to fig. 6, fig. 6 is a flowchart of a first embodiment of an intelligent parking method based on the internet of things according to the present invention. The method is applied to a local server, the local server stores a parking space map, the local server is respectively connected with a WiFi module and at least one source positioning card, and the source positioning card is arranged in the range of a parking space;
the method comprises the following steps:
s420, receiving a first request for acquiring a target parking space sent by a mobile terminal;
s440, responding to the first request, and forming first positioning of at least one target parking space according to the wireless network access point of the WiFi module;
s460, obtaining a second location of at least one target parking space according to the first location and the source location card;
and S480, determining an optimal parking route from the parking space map according to the second positioning, and sending the optimal parking route to the mobile terminal.
It should be noted that, in this embodiment, the intelligent parking method based on the internet of things is applied to the intelligent parking system based on the internet of things, and therefore, the implementation manner thereof can refer to the foregoing embodiment, and is not described herein again.
In addition, an embodiment of the present invention further provides a computer storage medium, where the storage medium stores an internet of things-based intelligent parking program, and the internet of things-based intelligent parking program implements the steps of the internet of things-based intelligent parking method according to the above method embodiment when executed by a processor. Therefore, a detailed description thereof will be omitted. In addition, the beneficial effects of the same method are not described in detail. For technical details not disclosed in the embodiments of the storage medium referred to in the present application, reference is made to the description of the embodiments of the method of the present application. It is determined as an example that the program instructions may be deployed to be executed on one internet of things based intelligent parking device, or on a plurality of internet of things based intelligent parking devices and a plurality of internet of things based intelligent parking devices located at one location, or on a plurality of internet of things based intelligent parking devices distributed at a plurality of locations and interconnected through a communication network.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above may be implemented by a computer program, which may be stored in a storage medium and includes the processes of the embodiments of the methods described above when executed. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), or the like.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
1. An intelligent parking system based on the Internet of things is characterized by comprising a mobile terminal, a local server, a WiFi module and at least one source positioning card, wherein the source positioning card is arranged in the range of a parking space and is connected with the local server, a parking space map is stored in the local server, and the source positioning card comprises a passive positioning card; wherein the content of the first and second substances,
the mobile terminal is used for sending a first request for obtaining a target parking space to the local server;
the local server is used for receiving the first request, responding to the first request, forming a first location of at least one target parking space according to a wireless network access point of the WiFi module, obtaining a second location of at least one target parking space according to the first location and the source location card, determining an optimal parking route from the parking space map according to the second location, and sending the optimal parking route to the mobile terminal;
the local server is further used for meter-level positioning of the mobile terminal according to the wireless network access point of the mobile terminal accessing the WiFi module to obtain the first positioning;
the local server is further configured to determine a shortest route table and a shortest route length table corresponding to the first location and the second location according to the first location and the second location of the at least one target parking space, when the shortest route table is equal to the shortest route length table, determine whether there are other user vehicles closest to the target parking space corresponding to the shortest route table and the shortest route length table, when there are other user vehicles, obtain current positions of the other user vehicles, determine the closest distances from the other user vehicles to the target parking space according to the current positions, and determine an optimal parking route according to the closest distances and the shortest route table, so that the target parking space is not occupied by the other user vehicles.
2. The intelligent parking system based on the internet of things as claimed in claim 1, wherein the system further comprises at least one infrared sensing module, the infrared sensing module is arranged in the range of the parking space and connected with the local server;
the local server is further configured to respond to the first request, acquire real-time infrared detection information of at least one infrared sensing module, judge whether a parking space where the infrared sensing module is located is parked by a vehicle according to the real-time infrared detection information, and determine the parking space which is not parked by the vehicle as a target parking space when at least one parking space which is not parked by the vehicle exists.
3. The intelligent parking system based on the internet of things as claimed in claim 1, wherein the system further comprises a barrier module, at least one identification camera is arranged on the barrier module, the barrier module and the identification camera are connected with the local server, and the mobile terminal comprises a GPS positioning module;
the mobile terminal is further configured to control the GPS positioning module to position a first initial position of the mobile terminal, and send user information of a user to which the mobile terminal belongs and the first initial position to the local server;
the local server is further configured to receive the user information and the first initial position, acquire vehicle information, collected by the recognition camera, of the driving of the user, store the user information and the vehicle information in a database, and control the barrier gate module to open a barrier gate corresponding to the first initial position.
4. The Internet of things-based intelligent parking system of claim 3,
the local server is further configured to determine at least one parking route from the parking lot map according to the first initial position and the second positioning, calculate a route with a shortest route in the at least one parking route according to a dijkstra algorithm, and take the route with the shortest route as the optimal parking route.
5. The Internet of things-based intelligent parking system of claim 3,
the local server is also used for storing the position information of the target parking space into the database when the target parking space is parked by the vehicle; wherein the position information of the target parking space corresponds to the user information and/or the vehicle information;
the mobile terminal is further used for controlling the GPS positioning module to position a second initial position of the mobile terminal, and sending a second request of the user for searching the vehicle and the second initial position to the local server; wherein the second request comprises user information of the user and/or the vehicle information;
the local server is further configured to respond to the second request, search the position information of the target parking space corresponding to the second request in the database according to the user information and/or the vehicle information, and determine an optimal route from the second initial position to the target parking space from the parking space map.
6. The Internet of things-based intelligent parking system of claim 1,
the local server is further used for recording the parking time of the vehicle to the database when the target parking space is parked by the vehicle;
the local server is further used for deleting the parking time of the vehicle in the database when the user drives the vehicle to leave the parking lot.
7. The intelligent parking system based on the internet of things of claim 1, further comprising an environment detection module and a cloud server, wherein the cloud server is respectively connected with the local server and the mobile terminal, and the environment detection module is arranged in a parking lot and connected with the local server;
the local server is further used for obtaining the environment condition of the parking lot through the environment detection module; wherein the environmental condition comprises a temperature and/or humidity condition;
the mobile terminal is further used for sending a third request for acquiring the environment condition of the parking lot to the cloud server;
and the cloud server is used for responding to the third request, acquiring the environmental condition of the parking lot through the local server, and sending the environmental condition to the mobile terminal.
8. The intelligent parking system based on the internet of things as claimed in claim 1, wherein the system further comprises at least one monitoring camera arranged in a preset area of the parking lot, and the recognition camera is connected with the local server;
the local server is further used for monitoring the type of the vehicle parked in the preset area of the parking lot through the monitoring camera, and if the type does not belong to the preset vehicle type, a first alarm signal is generated.
9. The Internet of things-based intelligent parking system of claim 8,
the local server is further used for monitoring vehicle gathering points in the parking lot through the monitoring cameras, and generating a second alarm signal when the vehicle gathering points occur.
10. The intelligent parking method based on the Internet of things is applied to a local server, a parking space map is stored in the local server, the local server is respectively connected with a WiFi module and at least one source positioning card, and the source positioning card is arranged in the range of a parking space and comprises a passive positioning card;
the method comprises the following steps:
receiving a first request for acquiring a target parking space sent by a mobile terminal;
in response to the first request, forming a first location of at least one target parking space according to a wireless network access point of the WiFi module;
obtaining a second location of at least one target parking space according to the first location and the source location card;
according to the second positioning, determining an optimal parking route from the parking space map, and sending the optimal parking route to the mobile terminal;
performing meter-level positioning on the mobile terminal according to a wireless network access point of a WiFi module accessed by the mobile terminal to obtain the first positioning;
the determining an optimal parking route from the parking space map according to the second positioning and sending the optimal parking route to the mobile terminal includes:
determining a shortest route table and a shortest route length table corresponding to the first location and the second location according to the first location and the second location;
judging whether the shortest route table is equal to the shortest route length table or not;
if the shortest route table is equal to the shortest route length table, judging whether other user vehicles with the shortest distance exist near the target parking space;
if other user vehicles closest to the target parking space exist, acquiring the current positions of the other user vehicles;
determining the closest distance from other user vehicles to the target parking space according to the current position;
and determining an optimal parking route according to the shortest distance and the shortest route table, and sending the optimal parking route to the mobile terminal so that the target parking space is not occupied by other user vehicles.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111000124.6A CN113825112B (en) | 2021-08-27 | 2021-08-27 | Intelligent parking system and method based on Internet of things |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111000124.6A CN113825112B (en) | 2021-08-27 | 2021-08-27 | Intelligent parking system and method based on Internet of things |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113825112A CN113825112A (en) | 2021-12-21 |
| CN113825112B true CN113825112B (en) | 2022-11-11 |
Family
ID=78923456
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111000124.6A Active CN113825112B (en) | 2021-08-27 | 2021-08-27 | Intelligent parking system and method based on Internet of things |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113825112B (en) |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106469518A (en) * | 2015-08-21 | 2017-03-01 | 中国电信股份有限公司 | The method of the intelligent parking guiding based on video tracking identification, server and system |
| CN109410623A (en) * | 2018-10-22 | 2019-03-01 | 浙江宇视科技有限公司 | Parking navigation method and device |
| CN110675652A (en) * | 2019-09-29 | 2020-01-10 | 福建工程学院 | LORA technology-based intelligent parking guidance method for large parking lot |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102722939B (en) * | 2012-06-18 | 2014-08-06 | 浙江工业大学 | Multifunctional parking space managing and guide system based on Internet of Things technology |
-
2021
- 2021-08-27 CN CN202111000124.6A patent/CN113825112B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106469518A (en) * | 2015-08-21 | 2017-03-01 | 中国电信股份有限公司 | The method of the intelligent parking guiding based on video tracking identification, server and system |
| CN109410623A (en) * | 2018-10-22 | 2019-03-01 | 浙江宇视科技有限公司 | Parking navigation method and device |
| CN110675652A (en) * | 2019-09-29 | 2020-01-10 | 福建工程学院 | LORA technology-based intelligent parking guidance method for large parking lot |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113825112A (en) | 2021-12-21 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US11592833B2 (en) | Method for updating a localization map for a fleet of autonomous vehicles | |
| US20210191979A1 (en) | Distributed video storage and search with edge computing | |
| Avatefipour et al. | Traffic management system using IoT technology-A comparative review | |
| US8718907B2 (en) | Monitoring a mobile device | |
| KR101906709B1 (en) | Connected dash cam | |
| CN109084794B (en) | Path planning method | |
| CN109741628B (en) | Intelligent parking route planning method | |
| CN103632572A (en) | Intelligent parking method and system | |
| CN104221065A (en) | A system and method for traffic management using lighting networks | |
| US11235734B2 (en) | Proximity based vehicle security system | |
| CN107689161A (en) | The intelligent automobile Real-road Driving Cycle constructing system of people's car traffic interconnection | |
| CN111311957A (en) | Parking guidance system based on RFID and unmanned aerial vehicle and working method | |
| CN115593434A (en) | Parking lot automatic parking system matched with intelligent automobile | |
| CN113313969B (en) | Parking space sharing method and device | |
| CN207529520U (en) | The intelligent automobile Real-road Driving Cycle structure system of people-vehicle-traffic interconnection | |
| CN109686119A (en) | Parking stall shared system | |
| CN113825112B (en) | Intelligent parking system and method based on Internet of things | |
| CN113393698A (en) | Novel intelligent internet parking lot management system | |
| CN114792149A (en) | Track prediction method and device and map | |
| JP2023111980A (en) | Information processing device, information processing method, and information processing program | |
| CN115588306A (en) | Parking space pushing method and device, computer readable storage medium and terminal | |
| Рубель et al. | Problems with effective traffic management | |
| WO2019132852A1 (en) | Smart camera, information system and method of identifying free parking places in parking facilities having such a camera | |
| AU2016201652A1 (en) | Monitoring a mobile device | |
| CN110599609A (en) | Parking charging method and transmission system based on video and wireless radio frequency |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |