KR101074283B1 - Managing System of Parking and Stoppage Using Multi-function Sensor Module - Google Patents
Managing System of Parking and Stoppage Using Multi-function Sensor Module Download PDFInfo
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- KR101074283B1 KR101074283B1 KR1020090118493A KR20090118493A KR101074283B1 KR 101074283 B1 KR101074283 B1 KR 101074283B1 KR 1020090118493 A KR1020090118493 A KR 1020090118493A KR 20090118493 A KR20090118493 A KR 20090118493A KR 101074283 B1 KR101074283 B1 KR 101074283B1
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/14—Traffic control systems for road vehicles indicating individual free spaces in parking areas
- G08G1/145—Traffic control systems for road vehicles indicating individual free spaces in parking areas where the indication depends on the parking areas
- G08G1/146—Traffic control systems for road vehicles indicating individual free spaces in parking areas where the indication depends on the parking areas where the parking area is a limited parking space, e.g. parking garage, restricted space
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/015—Detecting movement of traffic to be counted or controlled with provision for distinguishing between two or more types of vehicles, e.g. between motor-cars and cycles
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- General Physics & Mathematics (AREA)
- Devices For Checking Fares Or Tickets At Control Points (AREA)
- Traffic Control Systems (AREA)
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Business, Economics & Management (AREA)
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Abstract
According to the present invention, a vehicle parking / stop management system comprising a sensor node, a gateway, a main server, and an access manager, wherein the sensor node includes a multi-sensor module and a multi-sensor module including a geomagnetic sensor for recognizing a vehicle. And a sensor communication module for transmitting the information detected through the gateway, wherein the gateway is a sensor communication module for receiving the information transmitted from the sensor node, and a complex for transmitting the information received through the sensor communication module to the main server. The main server includes a wireless communication module for receiving the information transmitted from the gateway, a space management module for analyzing the occupied state of the parking space and information on the empty parking space, and each identified parking vehicle is parked. Time management module for analyzing the space occupancy time and the space management module and time management module Is from a vehicle using a multi-sensor module including a charge management module for calculating a parking fee from the parking area occupancy of each parked vehicle the analyzed state, stops management system is disclosed.
Parking, Multiple Sensors, Modules, Vehicles, Systems
Description
The present invention relates to a vehicle parking / stop management system using a multi-sensor module, and more specifically, to a system for managing parking / stop of a vehicle using vehicle identification information and vehicle entry information collected from a multi-sensor module embedded underground. It is about.
Recently, as the number of vehicles increases, securing parking spaces has become an important problem. In addition, in order to efficiently use and manage the already secured parking space, there is a need for a system for recognizing entry / exit vehicles and guiding parking positions or automatically calculating parking fees.
Conventional techniques for detecting a vehicle for unmanned parking and stopping management include a method of embedding a vehicle sensor such as a loop sensor or a pressure sensor on the floor of a parking space to detect a vehicle passing therethrough. However, this method has a problem of excessive construction cost for installing the sensor. In addition, excessive floor excavation, thereby increasing initial investment costs and maintenance difficulties in the event of sensor damage. In addition, the sensitivity of the loop sensor may be influenced by the size of the loop, the length of the lead wire, the short-circuit resistance with the ground, and the thickness of the over-lay layer.
The unmanned parking / stopping system of the conventional vehicle as described above has a problem in the parking fee management system due to incorrect vehicle detection and recognition, and the location of the parking vehicle is not properly detected, so that the current vehicle is parked at a new entrance vehicle. There was an error leading to the parking location of the car, such as a collision existed.
In addition, there was a risk of collision due to the inability to check the vehicle's advance and exit directions, and to reverse the flow of the vehicle. Meanwhile, in the case of large parking lots, the central controller collects parking information centrally and controls the system. Therefore, a plurality of parking vehicle detectors and the main controller must be connected, and there is a problem in that the wiring for this must be newly installed in the parking lot.
The present invention was developed to overcome the limitations and problems of the prior art as described above, and aims to collect vehicle recognition information with reduced errors without being influenced by the surrounding environment.
In addition, a multi-sensor module for recognizing a vehicle is made compact to prevent excessive floor excavation and to reduce maintenance costs.
In addition, an object of the present invention is to implement an efficient information transmission system so that real-time vehicle recognition and warning based on the collected information, parking location guidance, and fee calculation are possible.
According to the present invention, by using multiple sensors, vehicle recognition information with reduced error can be collected without being influenced by the surrounding environment.
In addition, the use of small, multi-sensor modules can minimize floor excavation to reduce maintenance costs without damaging the aesthetics of the floor.
In addition, by efficiently transmitting and receiving information using a wireless sensor network, it is possible to collect information in real time, and there is no need for wiring, which does not impair the aesthetics of a parking space.
Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings. Prior to this, terms or words used in the present specification and claims should not be construed as being limited to the common or dictionary meanings, and the inventors should properly explain the concept of terms in order to best explain their own invention. Based on the principle that it can be defined, it should be interpreted as meaning and concept corresponding to the technical idea of the present invention.
Therefore, the embodiments described in the specification and the drawings shown in the drawings are only the most preferred embodiment of the present invention and do not represent all of the technical idea of the present invention, various modifications that can be replaced at the time of the present application It should be understood that there may be equivalents and variations.
Figure 1 is a schematic conceptual diagram showing a vehicle parking management system of the present invention. As shown, the traffic information collection system 1 includes a
The
3A and 3B illustrate a vehicle recognition principle due to a change in geomagnetism after the geomagnetic sensor and the vehicle have passed. First, in FIG. 3A, VCC represents a power supply (voltage), R1 and R2 represent a resistor, GND represents ground, and V_OUT represents an output voltage. When power is applied to the VCC, the VCC voltage is divided by the resistance values of R1 and R2, and is output as V_OUT (constant value). R1 is a resistance that is not affected by geomagnetism or is less affected (resistance value does not change or changes minutely). If R2 has a property that the resistance value changes according to the influence of the magnetic field (resistance value changes), the output voltage V_OUT changes.
Therefore, the change of the magnetic field can be confirmed from the change amount of V_OUT. 3B is a conceptual diagram illustrating a principle of recognizing a vehicle using such a geomagnetic sensor, and the degree of roughness of the geomagnetic density line passing through the vehicle varies according to the nature of the geomagnetism in which a magnetic field is concentrated in a strong metal component. appear. Specifically, the wheel portion of the vehicle has a high geomagnetic density and the other portion is relatively low density to recognize the wheel of the vehicle.
When the vehicle passes over the geomagnetic sensor, the geomagnetic sensor recognizes the change in the magnetic field as the change in the output voltage as shown in the lower graph of FIG. 3b.
The geomagnetic sensor has a variety of detection ranges (gauss) according to the type, and anisotropic magnetoresistive (AMR) can be used for vehicle recognition. In general, geomagnetic sensors that include the geomagnetic range generated in the earth in the detection region include Squid, Fiber-Optic, Optically Pumped, Nuclear Procession, Search-Coil, Anisotropic Magnetoresistive (AMR), and Flux-Gate. In consideration of economical efficiency, among the geomagnetic sensors capable of detecting not only the range of Earth's Field, but also the range of geomagnetism which can be changed as a vehicle passes, it is preferable to use an anisotropic magnetoresistive (AMR) sensor in the present invention.
The
As shown in FIG. 4A, the AMR sensor may be arranged to detect geomagnetic changes in three axes of X, Y, and Z. Z-axis geomagnetism can determine the existence of the vehicle, Y-axis geomagnetism can determine the direction of the vehicle, X-axis geomagnetism can determine the size of the vehicle. Specifically, when the vehicle passes, the change of the geomagnetism in the Z-axis direction is detected, so that the vehicle can be detected by analyzing the Z-magnetism in the Z-axis time series, and the geomagnetism in the Y-axis direction becomes positive at "0". In the forward direction, it is possible to check the driving direction of the vehicle by classifying the negative case at "0" to the reverse direction.
In addition, since the width of the vehicle can be confirmed by the geomagnetic value in the X-axis direction, the type of the vehicle can be identified. Meanwhile, the speed of the vehicle may be calculated by analyzing the distance between the time when the vehicle is detected at one
4B is a diagram showing a detection area of the AMR sensor, which is an initialization state in which the detection value of the AMR sensor maintains a certain level before the vehicle passes.
This initialization state continues when there is no vehicle in an area within a radius of 1.5 m from the position where the AMR sensor is embedded, and when there is a vehicle in the area, the AMR sensor is switched to a detection state measuring geomagnetic change. The amount of geomagnetism change can be measured in an area of 0.5 m before passing through the AMR sensor embedding position and about 0.3 m after passing through the AMR sensor.
In this case, since the detection distance varies depending on the material of the vehicle, the size of the vehicle, the height of the vehicle body, the amount of the vehicle body metal, and the like, the above-described vehicle recognition radius is not uniformly applied to all vehicles. As such, when the vehicle leaves the geomagnetic variation measuring area, the AMR sensor is in the dormant state, and maintains the initialization state until the next vehicle passes, and then repeats the detection and dormancy state.
The presence, direction and size of the vehicle can be identified by the geomagnetic sensor such as the AMR sensor. However, since the detection of the geomagnetism change is affected by temperature, humidity and vibration, the actual detection environment is different from the detection reference temperature, humidity or vibration. In this case, it is preferable that the sensor module includes a temperature sensor, a humidity sensor, and a vibration sensor, which are auxiliary sensors for correcting the detected value of the geomagnetic sensor.
In addition, when the
As such, the resultant values detected by the
The
Since the
In addition, the upper surface of the
6 illustrates a structure of the
As shown in FIG. 6, the
As shown in the figure, the
Meanwhile, the
For example, when the vehicle proceeds in the reverse direction in the parking space where the vehicle entrance / exit direction is determined, the reverse direction is detected by the
7 is a schematic diagram showing the structure of the
The
Hereinafter, the parking / stopping information that can be collected by using the 3-axis detection of the geomagnetic sensor will be described.
First, since the presence of the vehicle can be detected through time series analysis of the Z-axis sensor detection value, it is possible to determine whether the vehicle is parked or stopped when there is no change in the detection value of the Z-axis sensor.
In addition, the width of the vehicle perpendicular to the vehicle traveling direction may be calculated by analyzing the X-axis sensor detection value, so that the size of the vehicle may be confirmed, and the vehicle type may be distinguished in detail. As such, by identifying the size of the vehicle and the type of the vehicle, it is possible to identify the type of vehicle entering the parking lot and guide the vehicle to an appropriate parking space, which may be reflected in the parking fee calculation.
In addition, it is possible to detect the driving direction of the vehicle through the analysis of the Y-axis sensor detection value, it is possible to prevent accidents due to entering or backward driving in the vehicle moving space.
On the other hand, by analyzing the detection values of adjacent geomagnetic sensors in time series, it is possible to calculate the speed of the vehicle passing through the road surface where the geomagnetic sensors are buried. For example, the distance between the geomagnetic sensors arranged continuously and the geomagnetic sensors By using the detected geomagnetic change detection value in the Z-axis direction, it is possible to check the passing time of the vehicle passing through the distance between the geomagnetic sensors, thereby calculating the speed of the vehicle. In this case, the transit time of the vehicle may be calculated by confirming the existence of the vehicle through the geomagnetic change detection value in the Z-axis direction, but the geomagnetic change detection value in the Y-axis or X-axis direction is also changed by detecting the presence of the vehicle. It is also possible to calculate the speed of the vehicle using the time between the moments when the geomagnetic change in the X (Y) axis direction is detected by the geomagnetic sensor. That is, the geomagnetic sensor is switched to the detection state when the vehicle enters the detection area in the initialization state. When passing through the adjacent geomagnetic sensor, the time taken to pass both geomagnetism sensors by checking the time of transition from the initialization state to the detection state. Calculate and calculate the passing speed by measuring the distance between both geomagnetic sensors. At this time, as described above, the time for switching from the initialization state to the detection state can be selected from any of the sensors in the X-axis, Y-axis, or Z-axis direction. As described above, when the speed of the vehicle is higher than the standard, there is a risk of collision with other vehicles moving in and out of the parking space. Thus, the alarm unit of the
As described above, when the
For example, different hourly rates may apply when a small car is parked in Zone A, where the parking space of the second-floor car park is small, and when a midsize car is parked in Zone B, where the parking space of the first-floor car park is large. have.
8A and 8B, respectively, in the system of the present invention, when an alarm unit is further provided in the
8B shows a schematic flow chart illustrating an operational process in which control commands for alarms from the
Meanwhile, the processes of FIGS. 8A and 8B may proceed in parallel, may proceed in series, or may be repeated. That is, the specific alarm alarm performs an alarm by analyzing the alarm data in the
In the above, only the control of the alarm unit provided in the
9 is a view showing a schematic configuration of the
The
In addition, when the vehicle enters, the detection value information regarding the vehicle entry detected by the
In addition, the
10 is a schematic perspective view showing an embodiment in which the vehicle parking / stop management system 1 of the present invention is installed. As shown in FIG. 10, a
The vehicle parking / stop management system of the present invention can be utilized not only for vehicle parking of parking lots and fee management thereof, but also for the control of illegal parking / stopping. For example, the
In addition, even in the case of the prepaid parking system, after the presence of the vehicle is recognized, the
As described above, although the present invention has been described by way of limited embodiments and drawings, the present invention is not limited thereto and is intended by those skilled in the art to which the present invention pertains. Of course, various modifications and variations are possible within the scope of equivalents of the claims to be described.
1 is a schematic conceptual view showing a vehicle parking management system of the present invention.
2 is a view showing a schematic configuration of a sensor node constituting the system of the present invention.
3A and 3B are diagrams illustrating the principle of the geomagnetic sensor and the vehicle recognition principle due to the change of the geomagnetism after the vehicle passes.
4A is a schematic conceptual diagram illustrating a relationship between a measurement result of an AMR sensor and measurement contents among geomagnetic sensors constituting a sensor node of the present invention, and FIG. 4B is a schematic conceptual diagram illustrating a measurable distance of an AMR sensor.
5A and 5B are schematic perspective and exploded perspective views, respectively, of a buried case in which a sensor node of the present invention is installed.
6 is a view showing a schematic configuration of a gateway constituting the system of the present invention.
7 is a schematic diagram showing a main server structure of the present invention.
8A and 8B are flowcharts showing an operation process of an alarm unit provided in the gateway in the system of the present invention, respectively.
9 is a view showing a schematic configuration of the access manager constituting the system of the present invention.
10 is a schematic perspective view showing an embodiment in which the vehicle parking / stop management system of the present invention is installed.
<Explanation of symbols for the main parts of the drawings>
1.Vehicle parking and
11 ...
13
15.Case body 16.Cover
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30 ...
32 ...
34 ...
44 ... Information Module
Claims (11)
Priority Applications (1)
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KR1020090118493A KR101074283B1 (en) | 2009-12-02 | 2009-12-02 | Managing System of Parking and Stoppage Using Multi-function Sensor Module |
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KR1020090118493A KR101074283B1 (en) | 2009-12-02 | 2009-12-02 | Managing System of Parking and Stoppage Using Multi-function Sensor Module |
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KR101074283B1 true KR101074283B1 (en) | 2011-10-19 |
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Families Citing this family (6)
Publication number | Priority date | Publication date | Assignee | Title |
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KR101481956B1 (en) * | 2013-03-26 | 2015-01-14 | 김태성 | Device and method for providing parking information |
KR102077102B1 (en) | 2013-04-01 | 2020-02-14 | 한국전자통신연구원 | Intelligent lighting control apparatus and method using the same |
WO2016150732A1 (en) * | 2015-03-23 | 2016-09-29 | Philips Lighting Holding B.V. | Luminaire parking guidance |
CN105825705B (en) * | 2016-01-04 | 2019-07-19 | 深圳市启荣科技发展有限责任公司 | Parking stall measure and guidance system and method |
KR101881220B1 (en) * | 2016-10-31 | 2018-07-26 | 주식회사 이그쉐어 | Wireless type parking guidance system with ststem of early warning earthquake and sensing quake |
KR101754180B1 (en) * | 2017-01-26 | 2017-07-06 | 정철호 | Wireless car parking management system using LPWAN |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
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KR100738514B1 (en) | 2006-10-17 | 2007-07-11 | (주)코아텍코퍼레이션 | Method for providing parking management and parking location information service and apparatus, and system thereof |
JP2007286662A (en) | 2006-04-12 | 2007-11-01 | Mitsubishi Electric Corp | Parking lot service system |
JP2008146652A (en) | 2006-12-08 | 2008-06-26 | Korea Electronics Telecommun | Intelligent parking guide device and method |
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Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2007286662A (en) | 2006-04-12 | 2007-11-01 | Mitsubishi Electric Corp | Parking lot service system |
KR100738514B1 (en) | 2006-10-17 | 2007-07-11 | (주)코아텍코퍼레이션 | Method for providing parking management and parking location information service and apparatus, and system thereof |
JP2008146652A (en) | 2006-12-08 | 2008-06-26 | Korea Electronics Telecommun | Intelligent parking guide device and method |
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