KR20170104868A - Wireless car parking guidance system based on wireless sensor network applying IOT Element Technologies and algorithms and analytics techniques for big data - Google Patents

Abstract

The present invention relates to a wireless parking system and a parking method using the same. The wireless parking system includes: a detection sensor (3) arranged in a parking lot and emitting a vehicle detection signal; a beacon, a wireless router and a communication unit (5) for relaying the detection signal transmitted from the detection sensor (3); a management server (7) for determining whether or not parking is possible by grasping the entry and exit state of the vehicle by the detection signal transmitted from the communication unit (5) and comparing the grasped state of the vehicle with parking data and outputting the result; a terminal (9) for receiving parking state information from the management server (7); and a display panel (13) for displaying parking information outputted from the management server (7). Also, the wireless parking system includes a wireless parking control service program using an IQP management algorithm technique which a user conveniently uses through a mobile terminal. Besides, the present invention includes a wireless vehicle network configuring method using the wireless detection sensor and the beacon. Accordingly, the present invention can improve parking efficiency and accurately and quickly display the parking information.

Description

[0001] The present invention relates to a wireless parking guidance system based on a wireless sensor network using an IOT element technology and a big data algorithm analysis method,

The present invention relates to a parking induction system based on a wireless network, and more particularly, to a parking induction system based on a wireless network, and more particularly, to a parking induction system based on a wireless network using an IoT element technology, a big data algorithm analysis technique, and an IQP program management analysis technique The present invention relates to a technique of automatically guiding a parking space to a driver.

In recent years, the traffic jam has been increasing due to the increase in the number of vehicles. In urban areas, traffic congestion is intensifying due to the concentration of traffic at the exit, the work time, and the weekend.

Therefore, when drivers want to use the parking lot in the city center, they can not use the parking lot because they do not know the parking lot that can be parked, so they run around the destination and cause congestion in the city due to the delay of the appointment.

This hinders the traffic life environment and causes a serious impact on global warming by increasing carbon emissions.

A variety of technologies have been developed for such a parking system. For example, LED display boards are installed at the entrance of the indoor parking lot of a large department store or a discount store, and the parking information is displayed by a character.

However, it is impossible to install a parking induction system and a parking management system installed in a large parking lot in an indoor parking lot due to a structural problem of a parking lot, a technical cost, a functional difference, and various mechanical factors such as waterproofing and temperature difference.

As another example of the parking system, it is possible that a driver of a vehicle downloads an application related to parking through a smart phone, receives parking information, and finds a parking lot. Such a parking guide method allows the driver to find the parking lot near the destination parking lot by using the application service for searching for the parking lot.

This approach only guides the location of the parking lot in the app application, so that the driver can not find the free parking lot that the driver wants.

In addition, when it comes to the actual parking lot, it is often confused with inconsistency with the parking information in the application. That is, the application shows that the parking lot is empty. However, in reality, the parking lot is not full, Even when arriving at the parking lot, there is a problem that the user must continue to roam within the parking lot for several minutes to several tens of minutes, or to continue to roam around the destination to search the parking lot around the nearby roads and buildings.

In some large department stores, it is possible to receive an empty parking lot guide in a parking lot by using a video camera and an ultrasonic sensor, but this is a method of receiving an empty place inside a parking lot after arriving at a parking lot, It is not a method to acquire information about a parking lot.

These problems make urban urban traffic environment more severe, and drivers are forced to park illegally when they are driven by time, and they are charged with fines and thus they are wasting social expenses. There is a serious problem of social cost caused by litigation because it causes damages to human life due to the neighboring fight due to illegal parking in the parking area, or to civil and criminal cases.

Patent Application No. 10-2006-104478 (Name: parking information providing system and method thereof) Patent Application No. 10-2008-121452 (name: parking management system, sensor node and its parking management method)

SUMMARY OF THE INVENTION Accordingly, the present invention has been made to solve the above-mentioned problems occurring in the prior art, and it is an object of the present invention to provide a wireless sensor network technology, Technology.

In addition, it solves the problem of illegal parking for disabled persons, which is a socially weak person, and provides wireless sensor technology and wireless sensor network technology for solving residents' priority parking which has not been disputed neighbors.

In order to achieve the above object, a preferred embodiment of the present invention provides a real time location tracking algorithm network system technology,

A hybrid wireless sensor disposed in the parking lot for detecting a combination of an infrared ray, a magnetic field, and a vehicle engine frequency;

A beacon, a wireless router, and a communication unit for relaying the detection signal transmitted from the detection sensor;

A server for determining whether or not parking is possible by comparing the detected state of the vehicle with the parking data by the sensing signal transmitted from the communication unit, and outputting the result;

A terminal for receiving parking status information from a management server; And

And a display panel for displaying parking information output from the management server,

And provides a mobile UI environment through an IQP management analysis program so that the driver can easily view the information of the management server in a mobile environment.

In order to achieve the other object of the present invention, there is provided a method of controlling a vehicle, comprising: a first step of determining whether a vehicle is parked by detecting a vehicle entering /

A second step of transmitting the determined availability of parking to a management server via a beacon, a wireless router, and a communication unit;

A third step of displaying the monitoring of the mobile application wireless parking control program by the IQO management algorithm for analyzing the parking information and transmitting the related information such as the availability of parking and the parking fee to the driver's terminal;

A fourth step of wirelessly transmitting and displaying the information from the management server to the display panel of the parking lot entrance; And

And a fifth step of the driver selecting and parking the most suitable parking lot through the application of the smart phone.

As described above, the wireless parking system and the parking method using the same according to an embodiment of the present invention have the following advantages.

First, by developing wireless parking guidance system and wireless parking control system based on wireless sensor network using IOT element technology and big data algorithm analysis technique, parking lot users can easily park empty parking lots at any time and anywhere, Can manage the parking lot efficiently.

Second, by installing a wireless sensor in the outdoor and indoor parking lots entrance and indoor floor, it is possible to accurately grasp the parking status by counting the vehicles entering and leaving. In this case, the wireless sensor can be applied by combining the earth sensor, IR sensor and RF radar sensor Parking efficiency can be increased by preventing the occurrence of crosstalk during rainstorming or snowing, or between a pedestrian and a vehicle.

Third, the data transmitted from the wireless sensor can be wirelessly transmitted to the parking induction electronic billboard using the frequency (400MHz ~ 900MHz) of the RF low frequency band, so that the parking information can be displayed accurately and quickly.

Fourth, by analyzing the parking pattern of the parking lot user, it can be applied to the parking guide by making big data. In addition, if the parking demand is decreased, the parking fee is discounted. If the parking demand is increased, To create new revenue models.

Fifth, by applying the Open API technology to the parking system, it is possible to induce the development of various applications by opening the parking data in order to link with the ICT infrastructure and the application of the smart phone already built in public facilities.

Sixth, parking data can be displayed according to the parking pattern by making the parking lot usage pattern bigger, so parking management can be more efficient. In particular, a new profit model can be created by flexibly applying parking fees by season, month, .

Seventh, by improving the traffic life environment through the establishment of crowded parking spaces in the downtown area, it is possible to reduce the number of times of roaming service that can not find an empty parking lot and revolve around the destination, You can contribute.

Eighth, it can contribute to establish a new traffic order culture by protecting the social weak through the wireless parking control system for the disabled and improving the communication culture of the neighbor through the resident priority parking radio control system.

FIG. 1 is a schematic diagram illustrating a structure of a wireless parking system according to an embodiment of the present invention. Referring to FIG.
FIG. 2 is a perspective view showing an appearance of the sensing sensor shown in FIG. 1. FIG.
3 is a block diagram showing the internal structure of the sensing sensor shown in FIG.
FIG. 4 is a plan view showing a state where the detection sensor shown in FIG. 1 is installed in a parking area.
5 is a block diagram showing the internal structure of the management server shown in FIG.
FIG. 6 is a flowchart showing a parking management method using the wireless parking system shown in FIG. 1. FIG.
FIG. 7 is a view showing a state in which the sensing sensor shown in FIG. 2 is installed on a parking surface of a parking lot and communicates with a communication unit of the vehicle.
8 is a diagram showing a system capable of monitoring the position of a vehicle by communicating with a communication unit of a vehicle by a beacon method according to another embodiment of the present invention.
9 is a diagram schematically showing the structure of an open API server.
10 is a diagram illustrating a process of a developer developing various applications using an open API server.

Hereinafter, a wireless parking system according to an embodiment of the present invention will be described in detail.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS As shown in FIGS. 1 to 5, a wireless parking system 1 proposed by the present invention includes a detection sensor 3 disposed in a parking lot and emitting a vehicle detection signal; A communication unit (5) for relaying the sensing signal transmitted from the sensing sensor (3); A management server (Server) 7 for determining whether or not the parking is possible by comparing the detected state of the vehicle with the parking data by the sensing signal transmitted from the communication unit 5, and outputting the result; A terminal (9) for receiving the parking status information from the management server (7); An API server 11 for generating and analyzing the parking data in cooperation with the management server 7 and releasing data to induce the development of various applications; And a display panel 13 for displaying parking information output from the management server 7. [

In a wireless parking system having such a structure,

The detection sensor 3 detects the entering and exiting vehicle by being installed at the entrance of the parking lot or each parking surface 15. The detection sensor 3 uses a combination of an infrared ray, a magnetic field and a frequency.

More specifically, the detection sensor 3 includes a case 17 fixedly installed at a parking entrance or a parking surface 15; An infrared ray detector 19 disposed inside the case 17 for detecting the vehicle by infrared rays; A magnetic field sensing part (21) disposed inside the case (17) for sensing a vehicle by a magnetic field; A frequency sensing unit 23 disposed inside the case 17 for sensing a vehicle by a frequency; A control module (25) for analyzing the sensed signal in conjunction with the infrared, magnetic field, and frequency sensing unit (23) and calculating whether or not the vehicle enters or exits; A memory for storing reference values and related data for various signals; A transmission / reception unit (29) for transmitting the result calculated by the control module (25) to the outside or receiving an external signal; And a power supply unit 27.

In this detection sensor 3, the infrared ray detection unit 19 is composed of a light emitting unit that emits light of a predetermined frequency and a light receiving unit that receives light emitted from the light emitting unit as a system using infrared rays. Therefore, the infrared ray generated in the light emitting unit can be reflected by being hitting the vehicle, and the light receiving unit can sense the presence of the vehicle by sensing the reflected light.

The magnetic field sensing unit 21 senses that the intensity of the magnetic field varies when the vehicle passes over the sensor 3. The magnetic field sensing unit 21 is a sensor for measuring the magnitude and direction of a magnetic field or a magnetic field line. The Hall effect, in which a voltage is generated when a magnetic field is applied perpendicularly to a current flowing in the semiconductor, And the like. Particularly, a magnetic field sensor using a Hall element is widely used.

The magnetic field sensing unit 21 transmits the voltage value due to the variation of the surrounding magnetic field to the control module 25 when the vehicle passes over the control unit 25, and the control module 25 calculates the variation amount of the voltage value by this signal It is judged whether or not the vehicle enters or exits.

The frequency sensing unit 23 senses the natural frequency of the vehicle to determine whether the vehicle is in or out. The frequency sensing unit 23 is a method of determining whether or not the vehicle is entering or exiting by measuring a frequency of a specific band transmitted from a vibration source such as a vehicle and includes an RF radar sensor.

The frequency sensing unit 23 can sense the vibration by generating an eddy current on the front end surface of the sensor and measuring the current when the eddy current is distorted when the external vibration is transmitted to thereby change the current.

In the present invention, a frequency range that can be detected by the frequency sensing unit 23 is limited to a frequency of the vehicle. It is desirable to set it to the right.

That is, when the vehicle passes over the detection sensor 3, the vehicle can be recognized by sensing the frequency inherent to the vehicle, whereas when the pedestrian passes, it is not recognized as being not included in the set frequency range .

In the present invention, the vehicle is detected by infrared rays, a magnetic field, and a frequency, and can be more accurately detected by combining them with each other in a complex manner.

For example, when the infrared sensor detects only infrared rays, malfunction may occur due to rain, snow, or nighttime climatic changes. If the sensor detects only a magnetic field, other objects other than the vehicle may be detected, The frequency sensing unit 23 may malfunction when a noise other than the vehicle is transmitted.

Therefore, the present invention can apply infrared rays, a magnetic field, and a frequency in combination, thereby recognizing only a vehicle, thereby improving accuracy.

This determination may be made by the control module 25, and the process of determining whether the control module 25 is a vehicle determines whether an infrared signal, a magnetic field signal, and a frequency signal are input first. At this time, when one or two signals among the three signals are not inputted or out of the set range, the remaining one or two signals determine whether the vehicle is a vehicle.

It is determined whether the input signal value is within a preset range of the signal. That is, in the case of an infrared signal, it is determined whether the fluctuation range of the voltage value due to the variation of the infrared ray is within the set range. If the variation range is out of the range, it is determined that it is a pedestrian or other moving object.

In the case of a magnetic field signal, it can be determined whether or not the vehicle is a vehicle by determining whether the variation range of the voltage value due to the variation of the magnetic field is within the set range.

In the case of the frequency signal, it is possible to confirm whether or not the vehicle is a vehicle by determining whether the variation range of the voltage value due to the frequency variation is within the setting range.

As described above, when the presence or absence of the vehicle is confirmed, a step of analyzing the frequency signal and classifying it according to the type of the vehicle can be further performed. In other words, engine sounds of light cars, small cars, midsize cars, and large cars have different frequencies, so the frequency bands for each vehicle type are stored in the memory.

Therefore, by comparing the input frequency band with the predetermined frequency band, the detected vehicle can be classified according to the type of the vehicle.

In addition, the parking area of the parking lot is classified into a light vehicle, a small-sized vehicle, a medium-sized vehicle, and a large-sized vehicle.

The parking information for each vehicle type is transmitted to the management server 7, and information on the vacant lot of the parking lot can be primarily provided, and information on the vacant lot can be provided for each parking lot.

Through such a process, it is possible to accurately check whether the vehicle is a vehicle by using a valid signal among the three signals.

Particularly, the infrared and magnetic field signals are highly influenced by the external environment, so that the vehicle recognition rate can be increased by sensing the engine sound of the vehicle by the frequency sensing unit 23.

The detection sensor 3 having the above-described structure is installed at the bottom of the entrance and exit of the parking lot, and is installed at the bottom of each parking surface 15.

Therefore, not only information on the number of vehicles entering and leaving the vehicle, but also information on vacancies can be provided, which is more efficient.

On the other hand, the communication unit 5 that has received the vehicle entry / exit information from the detection sensor 3 transmits this information to the management server 7.

The communication unit 5 may be of various types, and may be composed of, for example, a router R and a communicator M. [

The router R is installed at a position adjacent to the detection sensor 3 at the parking lot entrance and transmits the signal transmitted from the detection sensor 3 to the management server 7 of the controller through the communicator M and the network.

The router R is a device that reads the IP of the destination contained in the transmission information (packet) and transmits it to another communication network by using the most appropriate communication path when information is exchanged between the different networks.

For example, to relay different local area networks (LANs) or to connect a local area network to a wide area network (WAN).

The router R of the present invention uses a frequency of a predetermined band and preferably a band of 400 MHz.

The router R has the same structure as the routers R of a conventional structure, for example, a wireless transceiver 29, an LED, a switch, a channel switch, a communication unit, a power supply unit 27, .

Therefore, the router R transmits this signal to the communicator M when the vehicle entry / exit signal is transmitted from the detection sensor 3.

The communicator M transmits the signal transmitted from the router R to the controller through the network.

For example, the communication device M can be applied to various types of communication devices M, for example, a 400 MHz RF Tx / Rx system, and can communicate with an external device through an egg in a communication environment such as WiFi, 3G, And can be connected to a communication device.

The communicator M includes a control unit, a transceiver unit 29, a switch, a channel switch, an LED, a communication unit, and a power supply unit 27.

In this wireless parking sensor network, the location and purpose of each frequency band are distinguished.

For example, the UHF method uses a frequency of 433, 910 MHz, and microwave 2.45 GHz, and the data transmission / reception distance between the reader and the RFID tag is within a range of 5 m to 10 m. 430MHz is mainly used for active tags, and 910MHz is used for passive tags. This UHF method is mainly applied to the logistics system due to the long data reading distance.

The HF method uses a frequency of 13.56 Mhz, and the data transmission / reception distance between the reader and the RFID tag is within a range of 1 cm to 3 cm. These HF methods are mainly used for traffic cards and credit cards for security and safety reasons.

In the above description, the router R and the communicator M are interlocked with each other as the communication unit 5. However, the present invention is not limited to this, and only the communicator or the router may be used.

On the other hand, FIG. 7 shows a system in which a detection sensor 3 is disposed on a parking surface, and a communication unit 5 is mounted on the vehicle to transmit the current position of the vehicle to the server in real time.

As shown in the figure, a sensing sensor 3 is installed on each parking surface, and when the vehicle is sensed by the sensing sensor 3, the sensing sensor 3 transmits a signal to the communication unit 5 of the vehicle.

Then, the communication unit 5 transmits the position information of the vehicle to the server, and the server can grasp the position of the vehicle in real time through the mounted program.

At this time, the communication unit has a cellular modem function and uses a frequency band of 400 MHz / 900 MHz. In addition, the embedded program can perform IQP management analysis techniques.

In this way, the position of the vehicle can be grasped by each parking surface.

In the above description, the position of the vehicle is detected by the detection sensor. However, the present invention is not limited to this, and a beacon method may also be applied.

That is, as shown in Fig. 8, a beacon is provided on a ceiling or a column of a parking lot, and a communication unit 5 is provided in the vehicle, so that they can communicate with each other.

At this time, various types of beacons can be used for the beacon, for example, the FSK 424/433 MHz scheme can be applied.

Thus, the beacon disposed in each zone senses the vehicle through the communication unit 5 of the vehicle to confirm information on the current position, and the communication unit 5 of the vehicle transmits the current position of the vehicle to the server. The server can monitor the location of the vehicle in real time through the installed program.

This beacon method can be applied to a public parking lot, but it can be used in a place such as a used car market. That is, the communication unit 5 is installed in the interior of the used car, and the current position of the used car can be quickly identified for each zone, so that the user can be guided to the used car.

As described above, the detection of the position of the vehicle by the detection sensor or the beacon method can be selectively applied.

On the other hand, the management server 7 converts the vehicle input / output information received through the network into big data and analyzes the parking information to transmit the parking information to the display unit or the smart phone application.

The management server 7 includes a first calculation unit 40 for calculating the current parking status according to the vehicle entry / exit information;

A second calculating unit 42 for calculating the number of parking spaces for each type of vehicle by analyzing the detected parking information;

A third calculation unit 44 for analyzing the parking situation for a predetermined period and analyzing the parking pattern for each day of the week and for each time period;

An output unit 49 for providing the parking status to drivers through an application;

A fourth calculating unit 46 for calculating a parking cost differentiated for each parking surface 15 by data calculated by the first and second calculating units 42;

And data providing unit 48 for providing parking information to application developers.

In the management server 7 having such a structure, the first calculation unit 40 calculates the current parking status based on the data received from the parking sensor 15 installed on the parking lot 15 and the parking lot 15. That is, the number of taps is determined by the data received from the detection sensor 3 installed at the entrance of the parking lot, and the number of taps is determined by the data received from the detection sensor 3 installed at the exit. In addition, the presently parked order can be calculated according to the number of entrances and the number of departures, and the number of parking spaces available at present can be determined by comparing the number of parking spaces with the number of parking spaces.

The calculated parking allowable number is transmitted to the driver through the application so that the driver can quickly grasp the availability of the parking lot in real time.

In addition, the second calculation unit 42 analyzes the parking information data calculated by the first calculation unit 40 and calculates the number of parking spaces available for each type of vehicle.

That is, when calculating the logarithm of the parking lot and the logarithm of the exit, it is possible to grasp the vehicle as a light vehicle, a small size, a medium size, and a large size by the signal of the frequency sensor 23.

As described above, the frequency sensing unit 23 can classify not only the input / output difference of the vehicle but also the vehicle type of the corresponding vehicle by converting the data of the engine frequency of each vehicle into a DB.

Accordingly, the second calculation unit 42 can classify the vehicle type of the vehicle and also determine the parking area by which the vehicle is parked, thereby determining whether parking is possible according to the type of the vehicle.

Since the driver can receive such specific parking information through the application of the smartphone, it is possible to check not only the parking lot that can be parked but also whether or not the corresponding vehicle is parked.

The third arithmetic unit 44 accumulates the parking information detected by the first arithmetic unit 40 for a predetermined period of time, analyzes it, and analyzes the parking pattern for each day of the week and the time period.

In other words, it analyzes by the day of the week such as the day of the week having the largest number of parking vehicles and the day of the week which is the largest. Or analyze the parking situation by time of day. Of course, you can also analyze the parking situation by season or region.

As such, the third calculation unit 44 can grasp the parking status by season, day of the week, and hour, and can efficiently manage the parking lot by reflecting such data to the parking lot operation and the like in the future.

Furthermore, the analysis data of the third calculation unit 44 can interact with the fourth calculation unit 46 to flexibly operate the parking fee.

That is, it is possible to generate the profit of the parking lot by further specifying that the parking fee is set only for each vehicle type such as small, medium, and large as in the conventional case.

More specifically, the parking fee is set differently according to the season, the day of the week, and the time zone.

In other words, on a Monday or Friday, when traffic is heavy, on weekends, the car is parked in the parking lot because the number of vehicles to park is greater than the number of parking spaces.

In addition, the parking lot is complicated at morning and evening during commute time, and it tends to be free at other times.

Therefore, by analyzing such parking situations numerically by big data, the parking lot can distinguish the complicated time and the idle time and provide the information to the driver so that the driver can avoid the complicated time.

Then, the fourth calculation unit 46 analyzes the parking information and differentiates the parking fee so that the parking lot advertisement can be generated secondarily by parking advertisement.

In other words, it is possible to induce drivers to the parking lot where the driver can afford to park at a low price by advertising the application to the driver on the day and time when the parking fee is cheap.

By differentiating parking costs, drivers can expect to increase their parking lot sales by allowing them to park at low cost, and parking managers can minimize surplus parking spaces during off-peak hours.

Furthermore, such coupons may be issued in accordance with such difference in parking fee. In other words, drivers who visit during off-peak hours may offer additional benefits such as parking discounts to drivers by issuing additional coupons, as well as low-cost parking.

At this time, the coupon can be issued online through the application of the smart phone or directly at the parking lot where the open line is provided.

As described above, by parking the parking status by season, by day of the week, and by time zone, parking costs are differentiated to lead more drivers to the parking lots, thereby improving the parking profit.

Meanwhile, the output unit 49 transmits the parking information calculated by the management server 7 through the application of the smart phone.

That is, the management server 7 transmits the parking information to the app manager server of the parking lot through the output unit 49, and the app manager server transmits the parking information to the drivers through the application of the smart phone.

Therefore, drivers can quickly identify the parking lot that is currently available, and also know whether the vehicle is available or not. It also allows the user to select the most suitable parking lot.

And data providing unit 48 for providing parking information to application developers.

The data providing unit 48 provides a convenient development environment to the user of the parking lot application service by providing a development environment for the application developers to use the open API statistical analysis tool or the like.

Such an open API analysis tool consists of a system as shown in Figs.

In other words, the open API analysis tool consists of developer portal and open API server.

And the developer portal is composed of API menu, access log, and analysis tool, so developers can access portal and analyze DB information of parking information.

In addition, the open API server performs functions such as API registration, authentication management, traffic control, statistics management, and security management. Such an open API server can associate parking information with a public parking lot or a private parking lot.

An open API server having such a structure is registered with a developer on a store platform and receives API information after being approved.

The application is developed and distributed according to the API information or registered in the server.

The user can download the application after calling the API and authenticating. In addition, the open API server can receive parking related data by linking with the resource server of the parking control center.

Therefore, by opening the public data to the developers, the open API improves the utility value of the parking control service by inducing the ICT infrastructure constructed in the public facilities to be utilized with various mobile services, Can be effectively provided.

The above-described parking information can be visually displayed and guided by the display panel 13 disposed at the entrance and exit of the parking lot.

Various types of the display panel 13 may be used. For example, an electric panel using an LED may be used.

The number of parking lots, the number of empty digits, and the like can be displayed on the electric signboard.

Hereinafter, a method of managing a parking lot by the above-described wireless parking system will be described in more detail.

As shown in FIGS. 1 to 10, a parking method using a wireless parking system proposed by the present invention includes a first step (S100) of determining whether a vehicle is parked by detecting a vehicle entering / Wow;

A second step (S110) of transmitting the judged availability of parking to the management server (7) through the communication unit (5);

The management server 7 analyzes the parking information and transmits the related information such as the availability of parking and the parking fee to the terminal 9 of the driver or transmits the information to the display panel 13 at the entrance of the parking lot and displays the information;

And a fourth step (S130) in which the driver selects and carries out parking by selecting the most suitable parking lot through the application of the smart phone.

In this wireless parking method, in the first step S100, the parking sensor is used to detect a parking zone.

That is, the detection sensor 3 is installed at the entrance of the parking lot or on each parking surface 15, and a combination of infrared rays, a magnetic field and a frequency is applied.

The infrared ray sensing unit 19 can sense the presence of the vehicle by sensing that the infrared ray generated by the light emitting unit is reflected by the vehicle.

The magnetic field detection unit 21 determines whether or not the vehicle enters or exits due to a variation in the surrounding magnetic field when the vehicle passes the upper portion.

Then, the frequency sensing unit 23 can detect whether the vehicle is in or out by detecting a frequency specific to each vehicle type, and can also detect the vehicle by type and detect it.

In this way, the detection sensor 3 senses whether or not the vehicle is in and out by a combination of three methods. First, it is determined whether or not an infrared signal, a magnetic field signal, and a frequency signal are input. At this time, when one or two signals among the three signals are not inputted or out of the set range, the remaining one or two signals determine whether the vehicle is a vehicle.

It is determined whether the input signal value is within a preset range of the signal. That is, in the case of an infrared signal, it is determined whether the fluctuation range of the voltage value due to the variation of the infrared ray is within a set range. If the range is out of range, it is determined that the object is a pedestrian or other moving object.

In the case of a magnetic field signal, it can be determined whether or not the vehicle is a vehicle by determining whether the variation range of the voltage value due to the variation of the magnetic field is within the set range.

In the case of the frequency signal, it is possible to confirm whether or not the vehicle is a vehicle by determining whether the variation range of the voltage value due to the frequency variation is within the setting range.

As described above, when the presence or absence of the vehicle is confirmed, a step of analyzing the frequency signal and classifying it according to the type of the vehicle can be further performed. In other words, engine sounds of light cars, small cars, midsize cars, and large cars have different frequencies, so the frequency bands for each vehicle type are stored in the memory.

Therefore, by comparing the input frequency band with the predetermined frequency band, the detected vehicle can be classified according to the type of the vehicle.

Meanwhile, in the second step S110, each sensing sensor 3 transmits the parking related data to the management server 7 via the router R and the communication unit 5 via the wired and wireless network.

Then, in the third step S120, the management server 7 calculates the vacancy and the parking-related data according to the parking information received from the detection sensor 3. [

More specifically, the management server 7 includes a fifth step S140 of the first calculation unit 40 calculating the current parking status according to the vehicle entry / exit information;

A sixth step (S150) of analyzing the detected parking information and calculating the number of available parking spaces for each type of vehicle by the second calculating unit 42;

A seventh step S160 of analyzing the parking status of a predetermined period by the third calculating unit 44 and analyzing the parking pattern for each day of the week and the time period;

And an eighth step (S170) of calculating a parking cost differentiated for each parking surface 15 by the data calculated by the first and second calculating units 42 by the fourth calculating unit 46. [

In this wireless parking method, in the fifth step S140, the first calculation unit 40 grasps the number of tides by the data received from the detection sensor 3 installed at the entrance of the parking lot, ) To obtain the output number.

In addition, the presently parked order can be calculated according to the number of entrances and the number of departures, and it is possible to comprehend the current number of parking spaces by comparing the number of parking spaces with the number of parking spaces.

The calculated parking allowable number is transmitted to the driver through the application so that the driver can quickly grasp the availability of the parking lot in real time.

In the sixth step S150, the second calculation unit 42 analyzes the calculated parking information data and calculates the number of parking spaces available for each type of vehicle.

That is, when calculating the logarithm of the parking lot and the logarithm of the exit, it is possible to grasp the vehicle as a light vehicle, a small size, a medium size, and a large size by the signal of the frequency sensor 23.

As described above, the frequency sensing unit 23 can classify not only the input / output difference of the vehicle but also the vehicle type of the corresponding vehicle by converting the data of the engine frequency of each vehicle into a DB.

Accordingly, the second calculation unit 42 can classify the vehicle type of the vehicle and also determine the parking area by which the vehicle is parked, thereby determining whether parking is possible according to the type of the vehicle.

Since the driver can receive such specific parking information through the application of the smartphone, it is possible to check not only the parking lot that can be parked but also whether or not the corresponding vehicle is parked.

In the seventh step S160, the third arithmetic unit 44 accumulates the parking information detected by the first arithmetic unit 40 for a predetermined period of time, analyzes it, and analyzes the parking pattern for each day of the week and the time period .

In other words, it analyzes by the day of the week such as the day of the week having the largest number of parking vehicles and the day of the week which is the largest. Or analyze the parking situation by time of day. Of course, you can also analyze the parking situation by season or region.

As such, the third calculation unit 44 can grasp the parking status by season, day of the week, and hour, and can efficiently manage the parking lot by reflecting such data to the parking lot operation and the like in the future.

In the eighth step S170, the fourth calculation unit 46 interacts with the third calculation unit 44 to flexibly operate the parking fee.

More specifically, the parking fee is set differently according to the season, the day of the week, and the time zone.

In other words, on a Monday or Friday, when traffic is heavy, on weekends, the car is parked in the parking lot because the number of vehicles to park is greater than the number of parking spaces.

In addition, the parking lot is complicated at morning and evening during commute time, and it tends to be free at other times.

Therefore, by analyzing such parking situations numerically by big data, the parking lot can distinguish the complicated time and the idle time and provide the information to the driver so that the driver can avoid the complicated time.

Then, the fourth calculation unit 46 analyzes the parking information and differentiates the parking fee so that the parking lot advertisement can be generated secondarily by parking advertisement.

In other words, it is possible to induce drivers to the parking lot where the driver can afford to park at a low price by advertising the application to the driver on the day and time when the parking fee is cheap.

By differentiating parking costs, drivers can expect to increase their parking lot sales by allowing them to park at low cost, and parking managers can minimize surplus parking spaces during off-peak hours.

Furthermore, such coupons may be issued in accordance with such difference in parking fee. In other words, drivers who visit during off-peak hours may offer additional benefits such as parking discounts to drivers by issuing additional coupons, as well as low-cost parking.

At this time, the coupon can be issued online through the application of the smart phone or directly at the parking lot where the open line is provided.

As described above, by parking the parking status by season, by day of the week, and by time zone, parking costs are differentiated to lead more drivers to the parking lots, thereby improving the parking profit.

Meanwhile, in the above step, the management server 7 transmits the calculated parking information through the output unit 49 through the smartphone application of the driver.

That is, the management server 7 transmits the parking information to the app manager server of the parking lot through the output unit 49, and the app manager server transmits the parking information to the drivers through the application of the smart phone.

The driver can quickly grasp the current parking available parking lot as in the fourth step and also know whether or not the corresponding car can be parked and also know whether the car is complicated or not, .

As described above, through the development of the wireless parking guidance system and the wireless parking control system based on the wireless sensor network using the IOT element technology and the analysis method of the big data algorithm, the parking lot user can easily park the empty parking lot at any time and anywhere , The parking lot operator can efficiently manage the parking lot.

Claims (10)

A sensor (3) disposed in the parking lot for detecting the infrared radiation, the magnetic field, and the engine frequency of the vehicle in a complex manner;
A communication unit (5) for relaying the sensing signal transmitted from the sensing sensor (3);
A management server 7 for determining whether or not parking is possible by comparing the detected state of the vehicle with the parking signal by the sensing signal transmitted from the communication unit 5, and outputting the result;
A terminal (9) for receiving the parking status information from the management server (7); And
And a display panel (13) for displaying parking information outputted from the management server (7). The method according to claim 1,
The sensor (3) includes a case (17) fixedly installed at a parking entrance or a parking surface (15); An infrared ray detector 19 disposed inside the case 17 for detecting the vehicle by infrared rays; A magnetic field sensing part (21) disposed inside the case (17) for sensing a vehicle by a magnetic field; A frequency sensing unit 23 disposed inside the case 17 for sensing a vehicle by a frequency; A control module (25) for analyzing the sensed signal in conjunction with the infrared, magnetic field, and frequency sensing unit (23) and calculating whether or not the vehicle enters or exits; A memory for storing reference values and related data for various signals; A transmission / reception unit (29) for transmitting the result calculated by the control module (25) to the outside or receiving an external signal; A wireless parking system comprising a power supply (27). 3. The method of claim 2,
The frequency sensing unit 23 analyzes the frequency signal of the vehicle to classify the passage of the vehicle and the vehicle according to the type of the vehicle, and the management server 7 converts the information into the DB. The method according to claim 1,
The management server (7) includes a first calculation unit (40) for calculating the current parking status according to the vehicle entry / exit information; A second calculating unit 42 for calculating the number of parking spaces for each type of vehicle by analyzing the detected parking information; A third calculation unit 44 for analyzing the parking situation for a predetermined period and analyzing the parking pattern for each day of the week and for each time period; An output unit 49 for providing the parking status to drivers through an application; A fourth calculating unit 46 for calculating a parking cost differentiated for each parking surface 15 by data calculated by the first and second calculating units 42; And data provider (48) for providing parking information to application developers. 5. The method of claim 4,
The fourth calculation unit 46 analyzes the parking information calculated by the first calculation unit 40 and the parking pattern for each day of the week and the time period calculated by the third calculation unit 44 so as to lower the parking fee at a time when the parking frequency is low The parking fee is set to a higher value by setting a high parking fee at a time when the parking frequency is high, so that the driver can guide the parking lot to the parking lot where the driver can park the car at low cost. The method according to claim 1,
Further comprising an API server (11) which, in cooperation with the management server (7), converts the parking data into big data and analyzes it, and induces the development of the application by releasing data. A first step (S100) of determining whether or not the vehicle is parked by detecting a vehicle entry / exit situation from a detection sensor (3) installed in the parking lot;
A second step (S110) of transmitting the judged availability of parking to the management server (7) through the communication unit (5);
The management server 7 analyzes the parking information and transmits the related information such as the availability of parking and the parking fee to the terminal 9 of the driver or transmits the information to the display panel 13 at the entrance of the parking lot and displays the information; And
And a fourth step (S130) for the driver to select and park the most suitable parking lot for the user through the application of the smart phone. 8. The method of claim 7,
The third step S120 is a fifth step S140 in which the management server 7 calculates the current parking status by the first calculation unit 40 based on the vehicle entry / exit information;
A sixth step (S150) of analyzing the detected parking information and calculating the number of available parking spaces for each type of vehicle by the second calculating unit 42;
A seventh step S160 of analyzing the parking status of a predetermined period by the third calculating unit 44 and analyzing the parking pattern for each day of the week and the time period;
And an eighth step (S170) of calculating a parking cost differentiated for each parking surface (15) by the data calculated by the first and second calculating sections (42) by the fourth calculating section (46) How to manage your parking. 9. The method of claim 8,
In the fifth step S140, the first calculation unit 40 grasps the number of tangles based on the data received from the detection sensor 3 provided at the entrance of the parking lot, and by the data received from the detection sensor 3 installed at the exit A parking management system using a wireless parking system capable of calculating the number of parking spaces currently available by calculating the number of parking lots by the number of arrivals and departures by identifying the number of arrivals. 9. The method of claim 8,
In the eighth step S170, the fourth arithmetic unit 46 calculates a parking fee for each season, day of the week, and time zone based on the seasonal, day of week, and hourly parking pattern calculated by the third arithmetic unit 44 .

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