KR101919584B1 - crowdness information management system of subway trains based on parametric perturbation of wireless LAN - Google Patents

Abstract

The present invention relates to technology for generally obtaining a crowdedness level of each car of a specific subway train during a subway operation in real time and enabling a subway user and a subway waiting person to use the crowdedness level. More particularly, the present invention relates to technology for providing information about how crowded is in each car to the subway user who waits for taking the corresponding train at a subway station by receiving crowdedness level information for each car about the corresponding train in an external crowdedness control server if a wireless LAN-based crowdedness sensor installed in each car of the subway train calculates crowdedness information about how many passengers are in the corresponding car based on the parametric perturbation of a wireless LAN in an inner space of the car. At this time, the crowdedness sensor is composed of a plurality of wireless LAN devices to increase estimation accuracy when calculating the crowdedness information and dummy data is continuously transmitted and received by a UDP packet type between the wireless LAN devices, thereby stabilizing a wireless communication environment inside the car of the subway.

Description

[0001] The present invention relates to a subway congestion information management system,

TECHNICAL FIELD The present invention generally relates to a technology for acquiring the congestion level of each room of a specific subway train in real time during subway operation and making it available to subway passengers including subway passengers.

More particularly, the present invention relates to a wireless LAN-based congestion sensor installed in each room of a subway train based on fluctuation characteristics of a wireless LAN parameter in a room, The present invention relates to a technique for providing information on how crowded each room is to subway passengers who are waiting for the control server to receive congestion information for each train in the subway station.

In the present invention, in order to increase the estimation accuracy when calculating the congestion information, the congestion detector is composed of a plurality of wireless LAN devices, and the dummy data is continuously transmitted and received in the form of UDP packets, Stabilized.

The importance of the subway system is expanding as the number of passengers increases as mass transportation means. Currently, urban railway subways are operating in major cities, and light railways and monorails are also being piloted.

In order to transport a large number of passengers at once, a plurality of passenger cars are connected in series. In the passenger cabin, a room for accommodating passengers is formed. A large number of people can enter the room, and some 100 to 150 people enter the room during commute hours.

However, when the subway is operated, it is a reality that there is considerable unevenness in the actual number of passengers between a series of rooms constituting one train. Some rooms occupy too many people and become so-called "hell", while the rooms next to each other are comfortably occupied by a small number of people. There is no particular reason for this to happen, just because people board each other as conveniently as they can.

People on relatively relaxed cabins will be more satisfied with the subway, but more people who have not enjoyed such good luck will be quite dissatisfied with the public transport services, including the subway.

In addition, some people go to the subway station when the subway comes in to look for a room that is relatively relaxed, or they move around in search of a more leisurely room after getting on the train. This is undesirable because it lowers the satisfaction of subway services and increases the risk of safety accidents and the possibility of conflict between people.

SUMMARY OF THE INVENTION An object of the present invention is to provide a technique for acquiring the congestion level of each room of a specific subway train in real time during subway operation and making it available to subway passengers including subway passengers.

In particular, it is an object of the present invention to provide a congestion control apparatus and a congestion control method of a congestion control system, in which a congestion detector based on a wireless LAN installed in each subway train cabin calculates the congestion degree information on how many passengers are in a corresponding room, The server is provided with information on how crowded each room is to the subway passengers who are waiting to get the train information from the subway station by receiving the information of the congestion of the room by the train.

In the present invention, in order to increase the estimation accuracy when calculating the congestion information, the congestion detector is composed of a plurality of wireless LAN devices, and the dummy data is continuously transmitted and received in the form of UDP packets, Stabilized.

According to another aspect of the present invention, there is provided a subway congestion information management system based on the fluctuation of a wireless LAN parameter according to the present invention. The system is installed in a specific subway train, A train congestion detection system 1000 for generating a train congestion degree including information on the degree of passenger boarding calculated on the basis of the calculated degree of congestion and providing it to the outside through communication means; A congestion degree information panel 500 installed in a specific subway station and provided with a train congestion degree for a predicted train to be displayed, And a congestion control server 300 that receives and manages the train congestion for the corresponding subway train from the train congestion detection system and provides the congestion degree of the train to the congestion information panel of the subway station where the subway train will enter.

In the present invention, the train congestion detection system 1000 generates a room congestion degree indicating the degree of passenger boarding for each of a plurality of carriages constituting the corresponding subway train based on the fluctuation properties of the wireless LAN parameters in the interior space of the room And a plurality of room sensing systems 1100 to 1300.

In the present invention, the room detection system 1100 is installed in an internal space of a guest room, monitors the WLAN reference parameters while performing wireless LAN communication, counts the number of times of occurrence of the wobble detected for a predetermined time, And a main congestion detector 100 for calculating a congestion degree of a room.

At this time, the main congestion detector 100 identifies the closing of the door of the guest room, processes the preset discrete term, monitors the wireless LAN communication environment, compares the variation form of the wireless LAN RSSI with the pattern library until the detection timeout occurs The congestion degree is calculated in proportion to the congestion point value after increasing the congestion point value whenever the wireless LAN RSSI variation exceeding the threshold strength occurs.

In addition, the room detection system 1100 is installed in an internal space of the corresponding room, and continuously transmits UDP dummy packets to the main congestion detector through wireless LAN communication to stabilize the wireless LAN communication environment in the room interior 200). ≪ / RTI > At this time, when the main congestion detector 100 receives the UDP dummy packet from the sub congestion detector, the main congestion detector 100 simply consumes the payload.

In the present invention, the congestion guidance panel 500 is disposed on a screen door installed at a platform of a subway station to match a door of a room, and displays a differential display corresponding to the congestion degree of the corresponding companion train (510 to 530).

The subway congestion information management system according to the present invention includes a guide service server 400 that receives train congestion information from a congestion control server and provides the congestion information to a plurality of users through at least one of a text message, a multimedia message, a web push, and an e-mail. And a plurality of information gateways (700) installed on a rail path through which a subway train moves and providing a communication path for delivering train congestion from a train congestion detection system to a congestion control server.

According to the present invention, it is possible to calculate in real time how many people are boarded in each room while a subway train is operating. In order to achieve this, it is necessary to simply install a wireless LAN device in the present invention without having to invest a great deal of money such as attaching a load sensor to the lower part of a subway train carriage.

In addition, according to the present invention, it is possible to induce the passengers waiting in the subway station to board the passenger compartment in a relatively spacious room by informing the crowded room of the arriving train to the passengers, There is an advantage that users' satisfaction can be improved.

Further, according to the present invention, it is possible to distribute passengers more uniformly to a series of passenger cars constituting a train, thereby increasing the efficiency of use of the subway system and reducing the possibility of failure of the passenger car.

Also, according to the present invention, there is an advantage that the risk of safety accidents and the possibility of strife between passengers can be lowered because people do not need to run around in the subway stations or move people between rooms.

1 is a view conceptually showing the overall configuration of a subway congestion information management system based on wobble parameter fluctuation according to the present invention;
2 is a diagram illustrating a concept of providing a subway congestion guidance service in the present invention.
3 is a block diagram illustrating an internal functional configuration of a main congestion detector and a sub-congestion detector in the present invention.
FIG. 4 is a flowchart showing the entire process of a metro congestion information management system based on WLAN parameter fluctuation according to the present invention. FIG.
5 is a flowchart showing an embodiment of a room congestion calculation process based on WLAN RSSI fluctuation in the present invention.
6 is a flowchart illustrating an example of a process of generating dummy traffic in the present invention.
7 is a view showing an example of a result of a front door opening / closing test in the present invention.
FIG. 8 is a diagram showing an example of a result of a person going out and a house entry test in the present invention. FIG.
FIG. 9 is a diagram showing an example of a result of a three-person outing and a house entry test in the present invention. FIG.

Hereinafter, the present invention will be described in detail with reference to the drawings.

1 is a diagram conceptually showing the overall configuration of a subway congestion information management system based on fluctuation of a wireless LAN parameter according to the present invention. The present invention calculates the congestion information on how many passengers are in the room based on the fluctuation characteristics of the wireless LAN parameters generated in the interior space of the passenger compartment sensors 100 and 200 installed in each subway train in each of the passenger cars.

For a technique for detecting a motion (motion) generated in a specific space from a wobble phenomenon of a wireless LAN parameter, refer to the applicant's patent application 10-2017-0030507 (filing date 2017.03.10) "Motion detection And a method of motion detection based on a wobble pattern of a wireless LAN parameter stabilized with dummy traffic ", and a patent application 10-2017-0078215 (filed on June 20, 2017). Since the room is closed while the door is closed, the wireless LAN-based motion detection technology can be effectively operated.

1, a subway congestion information management system according to the present invention includes a train congestion detection system 1000, an information gateway 700, a congestion control server 300, a guidance service server 400, 500, and a smart terminal 600. At this time, the train congestion sensing system 1000 includes a plurality of room sensing systems 1100 to 1300.

First, the train congestion detection system 1000 generates congestion information (hereinafter, referred to as 'train congestion') about how many people have boarded each subway train in each room. Generally, a subway train is composed of a plurality of carriages connected in series. The room detection system 1100 to 1300 calculates the congestion degree (hereinafter referred to as " congestion degree ") in a room inside the passenger compartment. For example, if a subway train consists of 20 passenger carriages, 20 room sensing systems will individually generate room congestion, and the set of 20 room congestions will become train congestion.

The room detection system (1100 to 1300) calculates the congestion degree in the interior space of the room based on the wobble parameter fluctuation. The wireless LAN parameters include, for example, RSSI (Received Signal Strength Indication), MCS Index (Modulation and Coding Index), PHY RATE (Physical Layer Rate), NOISE (Signal to Noise Ratio). In the present invention, a wireless LAN RSSI is preferable.

In order to monitor the wireless LAN parameters in the room, the room detection systems 1100 to 1300 include the congestion detectors 100 and 200 which are wireless LAN devices. The basic idea of the present invention starts from the fact that if a wireless LAN parameter (e.g., RSSI) is unstable in a wireless LAN communication environment with a small external influence, it can be determined that there is something in the space. In this case, as the motion in the space increases, the WLAN parameter becomes more unstable, so that the degree of the motion can be predicted from the unstable degree of the WLAN parameter. This phenomenon has been verified from the experimental results shown in Figs. 7 to 9, which will be described later.

In the present invention, it is also possible to configure the main congestion detector 100 to measure the wireless LAN parameters alone. However, by increasing the reliability of the result of calculating the congestion level based on the wireless LAN parameters through the configuration for stabilizing the wireless LAN communication environment in the interior space of the guest room by performing dummy traffic communication between the main congestion detector 100 and the sub-congestion detector 200 desirable. A specific embodiment for generating dummy traffic will be described later with reference to FIG.

In the present invention, the congestion detectors 100 and 200 perform wireless LAN communication and have a slight processing capability. Therefore, the congestion detectors 100 and 200 can be used for a wireless LAN access point, a wireless video bridge, a wireless LAN expander, an AP router, a wireless gateway, Hub or the like.

The train congestion information generated by the train congestion detection system 1000 is provided to the external congestion control server 300. A plurality of information gateways 700 are provided for wired / wireless communication with the train congestion detection system 1000 installed in the subway train. The information gateway 700 is installed at an intermediate point between the history and the history of the subway train, or at an entry point of the subway train, and includes a main congestion detector 100 installed in a subway train, Communication or LTE communication to provide a path for collecting congestion information.

At this time, two types are shown in which the train congestion detection system 1000 transmits the train congestion information to the congestion control server 300.

In the first method, each of the room sensing systems 1100 to 1300 individually transmits the calculated room congestion to the congestion control server 300. When the room detection system 1100 to 1300 attaches identification information of the corresponding subway train and the corresponding room identification information to the congestion degree of the room, the congestion level control server 300 classifies the congestion degree information of these rooms according to the subway train to restore the train congestion information can do.

In the second method, a room detection system 1100 installed in one of the room detection systems, preferably a front passenger car, becomes a 'master room detection system' to detect a plurality of room congestion related to the subway train The system receives the relay from the system 1200 or 1300, that is, the 'slave room detection system', and transmits it to the congestion control server 300.

The congestion control server 300 receives and manages the respective train congestion information from a plurality of subway trains. The collected train congestion information is provided to the guide service server 400 and can be provided to various users as a text message, a multimedia message, an E-mail, a smart phone application, or the like. Subway users can receive information on train congestion in a convenient way, and can predict the degree of congestion of subway trains they are about to board.

Also, the congestion control server 300 transmits the train congestion information to the congestion information panel 500 of the subway station where the corresponding subway train intends to enter. The congestion information panel 500 provides subway passengers with the degree of congestion of the subway train to be entered in the future, that is, the degree of congestion per room. Preferably, the degree of congestion of the corresponding room can be displayed in color on the guide plates 510 to 530 provided at the upper portion of the screen door, which is installed in the platform of the subway station in accordance with the door. Alternatively, it may be displayed entirely on the comprehensive guide board 540 provided at one of the subway stations. As a result, subway passengers who are waiting to board the train at the subway station will be able to know in advance how crowded they are in each room and select the waiting point accordingly.

At this time, the congestion level control server 300 may be installed at a remote location and be integratedly operated, or may be installed separately for each subway station, and may be individually operated.

The term 'subway' as used herein is not limited to a subway traveling along a railway line installed in an underground in a subway station such as Seoul Subway Line 2, but a plurality of passenger cars such as a light railway, a monorail, a tram, Public transportation means generally means that the public transportation means.

2 is a diagram illustrating a concept of providing a subway congestion guidance service in the present invention.

First, the congestion detectors 100 and 200 installed in the individual guest rooms individually calculate the congestion degree of the room, and the congestion degree of the train in which the congestion degree information of these rooms is collected in units of the subway train is provided to the congestion control server 300.

The congestion control server 300 is a device for receiving and managing train congestion information from a plurality of subway trains. To this end, the sensor registration information and the wireless parameter database are managed. The sensor registration information stores the installation management information of the subway train of the congestion detectors 100 and 200, and the wireless parameter database stores characteristic information of the wireless parameter for determining the congestion It is saved.

The congestion control server 300 transmits the train congestion information to the guide service server 400, which is then transmitted to the smart terminal 600 of the subway users so that they can refer to the subway use. At this time, a method of informing a user is a text message, a multimedia message, a web push, an e-mail, and the like. The guide service server 400 may be implemented as a text message sending server, a Google Clouding Messaging (GCM) server as a Google push server, an APNS (Apple Push Notification Service) server as an Apple push server, or an email sending server.

3 is a block diagram illustrating an internal functional configuration of the main congestion detector 100 and the sub-congestion detector 200 in the present invention.

The main congestion detector 100 and the sub-congestion detector 200 may be realized without any significant functional difference. Conversely, while the main congestion detector 100 has most of its functions, the sub-congestion detector 200 may be implemented to exclude some functions. In addition, the main congestion detector 100 and the sub-congestion detector 200 may be configured to individually calculate the congestion degree, or the main congestion detector 100 may be configured to calculate the congestion degree. In the present specification, the present invention has been described on the basis that the deviation main congestion detector 100 calculates the congestion degree.

The main congestion detector 100 includes a main wireless communication module 110, a main dummy communication module 120, a main network time module 130, a main parameter collection module 140, a main library module 150, An analysis module 160, a main interlocking determination module 170, and a main external interlocking module 180.

The sub-congestion detector 200 includes a sub-wireless communication module 210, a sub-dummy communication module 220, a sub-network time module 230, a sub-parameter collection module 240, a sub-library module 250, An analysis module 260, a sub interlocking determination module 270, and a sub external interlock module 280. [

The wireless communication modules 110 and 210 perform wireless LAN communication for the congestion detectors 100 and 200. In FIG. 3, although the congestion detectors 100 and 200 are shown as performing one-to-one wireless communication, the present invention is not limited to this, and a general one-to-N wireless LAN communication may be performed.

The main dummy communication module 120 and the sub dummy communication module 220 frequently generate dummy traffic between the congestion detectors 100 and 200 to stabilize the wireless LAN communication environment in the guest room. The reason for adopting the stabilization configuration through dummy traffic in the present invention is as follows.

In the present invention, the congestion degree with respect to the room space is predicted based on the wobble phenomenon occurring in the wireless LAN parameter. The more the agitation takes place, the more likely there are people in the space. However, when the passengers of the carriage do not use the wireless LAN, the traffic of the wireless LAN becomes very small. For example, there is only a beacon frame that occurs every 100 msec.

When the WLAN traffic is extremely small, the number of samples for extracting the value of the WLAN parameter becomes too small. Conceptually, the status of the WLAN parameter is checked once every 100 msec, which reduces the reliability of the sample considerably. The wireless communication is basically unstable, so that the phenomenon occurs in which the wireless LAN parameter fluctuates despite the fact that nothing happens, but when the number of samples is small, it is classified as a sudden change or a gentle change It becomes difficult. Thereby making it very difficult to derive a meaningful conclusion from the variation pattern of the wireless LAN parameters.

Accordingly, the main dummy communication module 120 and the sub dummy communication module 220 periodically and continuously generate the wireless LAN dummy traffic between the main congestion detector 100 and the sub-congestion detector 200. The wireless LAN dummy traffic is preferably only a form of a wireless LAN packet without any contents, and accordingly, the main dummy communication module 120 and the sub-dummy communication module 220 continuously transmit meaningless wireless LAN packets It appears to be sending and receiving. As the wireless LAN dummy traffic is continuously transmitted and received, the number of samples capable of measuring the WLAN parameter value becomes sufficiently large, thereby increasing the reliability of the measured value of the WLAN parameter. Therefore, if the variation pattern of the WLAN parameter exhibits a peculiar form, it becomes possible to give meaning to such a peculiar form.

3, the main congestion detector 100 and the sub-congestion detector 200 transmit and receive dummy packets to each other. However, the present invention is not limited thereto. Preferably, the main congestion detector 100 measures the RSSI, so that the sub-congestion detector 200 transmits the dummy packet to the main congestion detector 100. A preferred embodiment for generating wireless LAN dummy traffic between the main congestion detector 100 and the sub-congestion detector 200 will be described in detail with reference to FIG.

The network time modules 130 and 230 synchronize the current time from an external time server. Since the concept of time is used in the process of the present invention, it is preferable to utilize time information provided by an external time server.

When the wireless LAN communication environment (communication quality) of the space in which the parameter collection module 140 or 240 is performing the wireless LAN communication is available at that time or at a predetermined interval (for example, 1 msec) . Among the plurality of wireless LAN parameters mentioned in the field of wireless LAN technology, in the present invention, one or more parameters having characteristics that are sensitive to movement of people are selected in advance and referred to herein. In this specification, 'wireless LAN reference parameter' I call it. Preferably, RSSI (Signal Reception Intensity) can be usefully utilized.

The library modules 150 and 250 store a pattern library, which is information on a variation form of the WLAN reference parameter used for determining the congestion degree of the room space. Wireless communication is basically unstable, so even in the absence of anybody in the room, the wireless LAN parameters vary. Accordingly, a criterion as to which type of variation of the condition is to be used for congestion determination is stored.

The congestion analysis modules 160 and 260 analyze the wireless reference parameters collected in real time in the wireless LAN communication process based on the pattern library stored in the library modules 150 and 250 to calculate the room congestion.

The interworking determination modules 170 and 270 connect the main congestion detector 100 and the sub-congestion detector 200 one-to-one via the wireless LAN and support interworking in the congestion calculation process. The main congestion detector 100 and the sub-congestion detector 200 calculate the congestion level of the guest rooms through the congestion analysis modules 160 and 260, respectively. In order to increase the reliability of the congestion degree calculation, the congestion detectors 100 and 200 not only judge their own judgment results, but also compare the results of the counterpart apparatuses with each other and discard the calculated values if they are excessively different, If they are similar, use an average value.

The external interlocking modules 180 and 280 provide the congestion control server 300 with the congestion degree of the room or the congestion of the train, which is a set of the congestion degree of the rooms, to the external congestion control server 300 to be interlocked with the service. 1, the external interlocking modules 180 and 280 provided in the master room detection system 1100 transmit the train congestion to the congestion control server 300 and the slave room detection system 1200, The external interlocking modules 180 and 280 provided in the passenger compartment 1300 transmit the calculated room congestion to the external interlocking modules 180 and 280 of the congestion detectors 100 and 200 installed in the immediately preceding carriage do. In another embodiment, all of the external interworking modules 180 and 280 transmit their own room congestion levels to the congestion control server 300.

4 is a flowchart showing the overall process of a subway congestion information management system based on the wobble parameter fluctuation according to the present invention.

Step S110: First, the main congestion detector 100 sets the pattern library as a criterion for determining whether or not a fluctuation has occurred in the wireless LAN parameter. Wireless communication is basically unstable, so even in the absence of anybody in the room, the WLAN parameters show variations. A reference about whether a change in a wireless LAN parameter occurs as a 'perturbation' to be used for congestion determination is stored in a pattern library.

Step S120: The main congestion detector 100 refers to the pattern library in the room detection system 1100 to 1300 installed in each room to derive the fluctuation attribute of the WLAN reference parameter, and based on the derived fluctuation attribute, Calculate the room congestion for the room. As will be described later with reference to FIG. 5, the main congestion detector 100 monitors the WLAN reference parameters for a predetermined period of time (for example, 20 seconds), counts the number of fluctuations, .

Since subway trains have a certain amount of fluctuation during driving, the more passengers are in the room, the more movement is required, and the wireless LAN parameters will become more unstable in proportion to the number of passengers. In consideration of this point, the main congestion detector 100 may calculate the room congestion degree so as to be proportional to the number of times of occurrence of the shaking generated for a predetermined time.

The process S120 of the room detection system 1100 to 1300 to calculate the congestion level for each room will be described later in detail with reference to FIG.

Step S130: The congestion control server 300 acquires the train congestion, which is a set of a plurality of room congestion degrees calculated by the plurality of room sensing systems 1100 to 1300 for a specific subway train. As described above, the master room detection system 1100 may be configured to collect a plurality of room congestion levels and transmit them to the congestion level control server 300. Also, the congestion control server 300 may individually receive the room congestion from the plurality of room sensing systems 1100 to 1300 to restore the congestion of the train.

Steps S140 and S150: Since the subway train travels on the predetermined route, the subway station to be entered next is determined. The congestion control server 300 transmits the congestion degree obtained for the subway train to the congestion information panel 500 of the next subway station to be operated by the subway train.

The congestion degree information panel 500 preferably divides the train congestion degree for the expected incoming train to acquire a plurality of room congestion levels, divides the congestion degree of each of the rooms of the subway trains by differential display, I can do it. For example, the degree of congestion of the corresponding room can be displayed in color on the guide plates 510 to 530 provided at the top of the screen door installed at the platform of the subway station. For example, red means that the room is already occupied by passengers, while green means that there is still plenty of space left in the room. In addition, the degree of congestion for each room can be displayed at once on the comprehensive signboard 540 provided at any one point of the subway station.

5 is a flowchart showing an embodiment of a process of calculating a room congestion level based on a wireless LAN RSSI fluctuation in a room sensing system 1100 to 1300 in the present invention. Hereinafter, the main congestion detector 100 calculates the congestion level of the guest rooms (FIG. 5).

Step S121: The main congestion detector 100 identifies the closing of the passenger door. It is not only difficult to accurately detect the wireless LAN parameter because the outside influence is large in the state where the door of the guest room is opened, and it is also meaningless for the purpose of the present invention to evaluate the congestion degree of the inside of the room. A door closing event may be provided in the operating system of the subway train or the main congestion detector 100 may judge itself based on a special signal coming from the outside of the room. It is desirable to process a discard term of a predetermined time (e.g., 15 seconds) until people have positioned themselves after the door of the room is closed.

Step S122: The main congestion detector 100 performs a radio environment stabilization step of stabilizing the wireless LAN communication environment. When the wireless LAN traffic is too small, it is difficult to find a significant variation pattern for the wireless LAN parameters. In order to solve this problem, the main congestion detector 100 and the sub-congestion detector 200 continuously generate dummy traffic to artificially increase the amount of the wireless LAN traffic, thereby obtaining a sample It is desirable to increase the reliability of the wireless LAN parameter values by making the number of wireless LAN terminals large enough.

A preferred embodiment for stabilizing the wireless LAN communication environment by generating wireless LAN dummy traffic between the main congestion detector 100 and the sub-congestion detector 200 will be described in detail with reference to FIG.

Step S123: The main congestion detector 100 initializes the congestion point value. The main congestion detector 100 counts the number of wobble occurrences of a WLAN reference parameter occurring for a certain period of time (for example, 20 seconds), and initializes the variable value 'congestion point' to 0, for example, before starting counting .

Step S124: The main congestion detector 100 monitors the wireless LAN communication environment to acquire the wireless LAN RSSI, which is a wireless LAN reference parameter. An example of the wireless LAN RSSI acquired by the main congestion detector 100 is shown in FIG. 7 to FIG. 9.

Steps S125 to S127: The main congestion detector 100 compares the variation form of the wireless LAN RSSI with the pattern library to check whether a phenomenon of perturbation, which is a factor to consider in congestion determination, has occurred. For example, when an RSSI variation exceeding a specific threshold strength, for example, a fluctuation of a wireless LAN RSSI of? 1.0 dB or more occurs, the main congestion detector 100 determines that a fluctuation has occurred.

If it is determined that there is a fluctuation phenomenon, the main congestion detector 100 increases the value of the 'congestion point', which corresponds to an increase in the evaluation factor that the inside of the room is congested.

Step S128: The main congestion detector 100 then determines whether a detection timeout has occurred. In the present invention, as an example of the WLAN reference parameter shake attribute to be referred to in calculating the room congestion, the number of shaking occurrences for a predetermined time (for example, 20 seconds) is presented. Accordingly, the number of times of occurrence of the fluctuation is counted and it is checked whether or not the predetermined time has elapsed.

Step S129: If a detection timeout occurs as a result of the above determination, the main congestion detector 100 determines that the number of wakeups of the WLAN reference parameter (WLAN RSSI) counted for the predetermined time, that is, Congestion degree is calculated.

Considering the technical background of the present invention, it is reasonable to evaluate that the larger the value of the congestion point, the more crowded the inside of the room. As shown in FIG. 8 and FIG. 9, when the number of people moving increases, the fluctuation intensity of the WLAN reference parameter and the variation deviation become much larger.

FIG. 6 is a flowchart illustrating an example of a process in which the main congestion detector 100 and the sub-congestion detector 200 generate dummy traffic in the present invention. 6 (a) is a dummy traffic transmission process performed by the sub-congestion detector 200, and FIG. 6 (b) is a dummy traffic receiving process performed by the main congestion detector 100. FIG.

In the present invention, congestion degree information for a room is calculated by monitoring a wireless LAN parameter in real time. The amount of wireless LAN traffic is artificially increased through dummy traffic so that the number of samples for measuring a wireless LAN parameter value is made sufficiently large, Thereby increasing the reliability of the LAN parameter value.

There are many passengers in the subway rooms, and in recent years, it is common for people to browse the internet or listen to streaming music using a smartphone in the subway. Considering this point, it can be considered that even if dummy traffic is not generated, the wireless LAN traffic may be sufficiently large. At this time, the sub-congestion detector 200 may be unnecessary. However, in any case, it is desirable to generate dummy traffic to yield reliable results.

As one embodiment of dummy traffic generation, the main congestion detector 100 and the sub-congestion detector 200 continuously transmit and receive dummy data in the form of UDP packets. At this time, it is preferable that the wireless LAN parameter such as the wireless LAN RSSI is measured by the packet receiving device, so that the sub congestion detector 200 transmits the packet and receives the packet to the main congestion detector 100.

Steps S211 and S221: The sub-congestion detector 200 initializes to the UDP client mode and the main congestion detector 100 initializes to the UDP server mode. In the present invention, a method is adopted in which the sub-congestion detector 200 transmits a series of UDP packets to the main congestion detector 100. The sub-congestion detector 200 initializes the UDP client mode and the main congestion detector 100 initializes the UDP server mode because the client that first transmits the data packet is the client.

Steps S212 and S213: The sub-congestion detector 200 confirms the wireless LAN association with the main congestion detector 100. This is because the packet can be transmitted through the wireless LAN only after the association is established. When the association is confirmed, the sub-congestion detector 200 confirms the IP address of the main congestion detector 100. To send a UDP packet, you need to know the IP address of the other party. At this time, the IP address may be identified through the device discovery process, or the manufacturer may preset the local IP address in the device manufacturing process.

(S215, S216): The sub-congestion detector 200 generates a UDP dummy packet and transmits the UDP dummy packet to the IP address of the main congestion detector 100 through UDP. At this time, the UDP dummy packet has the appearance, that is, the field configuration, in the form of a general UDP packet, but the payload is filled with meaningless values. Therefore, if the TCP packet is transmitted to the dummy traffic, the receiving device sends a retransmission request, which complicates data transmission and reception. Accordingly, a UDP packet is preferable as the dummy traffic. In case of a UDP packet, even if the payload is filled with a meaningless value, the receiving device does not issue a retransmission request but discards the corresponding UDP packet.

Then, the sub-congestion detector 200 repeats the series of steps described above by returning to the previous step S212. Accordingly, the sub-congestion detector 200 continuously transmits a UDP dummy packet.

In response to this, the main congestion detector 100 receives the UDP dummy packet. When it is confirmed that the corresponding payload is filled with the meaningless value, it is regarded that the erroneous UDP packet is received and the corresponding It simply exhausts the payload of the UDP dummy packet. That is, it does nothing and simply discards the payload of the corresponding UDP dummy packet.

Specifically, the main congestion detector 100 receives the UDP packet and parses the packet according to the field format specification of the UDP packet. As a result of the packet parsing, if a predetermined dummy packet, for example, a specific port is used and the destination is a dummy packet set in the main congestion detector 100, the main congestion detector 100 uses the dummy process to exhaust the payload do. For other UDP packets, the main congestion detector 100 normally processes the corresponding UDP packet according to the original function, for example, a bridge function.

7 to 9 show the test results after actually implementing the motion detection system according to the present invention.

Briefly describe the test conditions. In reality, it is difficult to utilize the train rooms, so I experimented on the 19-storey 34-pyeong apartment as a similar independent space and considered that there is no influence of external radio. The main congestion detector 100 and the sub-congestion detector 200 are simulated by arranging a wireless LAN access point and a wireless LAN station in a living room and an end room. The wireless LAN reference parameter is RSSI (signal reception strength).

7 is a view showing an example of a result of a front door opening / closing test in the present invention. It can be confirmed that the change of the RSSI value of the wireless LAN continuously occurs as a person opens / closes the door made of iron material.

FIG. 8 and FIG. 9 are diagrams showing test results when one and three persons went out and entered the house in the present invention, respectively.

Referring to FIG. 8 and FIG. 9, it can be seen that a change in the RSSI value occurs considerably during the process of entering the house. As shown in FIG. 8 and FIG. 9, when the number of people is increased, it is confirmed that the amount and variation of the RSSI value of the wireless LAN greatly vary. Therefore, it is possible to estimate whether the number of persons moving in the space is large or small from the fluctuation of the wireless LAN RSSI.

Meanwhile, the present invention can be embodied in the form of computer readable code on a computer-readable non-volatile recording medium. Such a non-volatile recording medium includes all kinds of storage devices for storing computer-readable data such as a hard disk, an SSD, a CD-ROM, a NAS, a magnetic tape, a web disk, a cloud disk, The code may be distributed and stored in the storage device of the computer.

100, 200: Main Congestion Detector, Sub-Congestion Detector
110, 210: a main wireless communication module, a sub wireless communication module
120, 220: main dummy communication module, sub dummy communication module
130, 230: main network time module, sub network time module
140, 240: main parameter acquisition module, sub parameter acquisition module
150, 250: main library module, sub library module
160, 260: main congestion analysis module, sub-congestion analysis module
170, and 270: a main interlocking determination module, a sub interlocking determination module
180, 280: Main external interlock module, Sub external interlock module
300: Congestion control server
400: Information Services Server
500: Congestion Information Panel
510 to 530: Screen door guide plate
540: Integrated signage
600: smart terminal
700: Information Gateway
1000: Train Congestion Detection System
1100: Room Detection System (Master)
1200, 1300: Room Detection System (Slave)

Claims (7)

A train congestion degree which is installed in a specific subway train and includes information on the degree of boarding of passengers on the basis of the fluctuation properties of the wireless LAN parameters in the internal space of each room for the corresponding train is generated and provided to the outside through the communication means A train congestion detection system 1000;
A congestion information panel (500) installed in a specific subway station and provided with a train congestion degree for a train anticipated to be entered, and displaying a degree of congestion of each of the anticipated arriving trains in a room corresponding to each room;
A congestion control server 300 for receiving and managing a train congestion degree for the corresponding subway train from the train congestion sensing system and for providing the congestion degree of the train to the congestion degree information panel of the subway station where the subway train will enter;
A subway congestion information management system based on the wobble parameter fluctuation,
The train congestion detection system 1000 is a system for detecting a congestion degree of a passenger on a passenger compartment of each of a plurality of passenger cars constituting a subway train based on a fluctuation property of a wireless LAN parameter in a passenger compartment space A number of room detection systems 1100 to 1300,
The room sensing system (1100)
(Hereinafter, referred to as a 'WLAN reference parameter') installed in an internal space of the corresponding room and performs wireless LAN communication, and monitors the WLAN reference parameter A main congestion detector (100) for counting the number of times of occurrence of shaking and calculating the room congestion degree for the corresponding room in accordance with the counting result;
A sub congestion detector (200) installed in an internal space of the room to stabilize the wireless LAN communication environment in a room by continuously transmitting UDP dummy packets to the main congestion detector through wireless LAN communication;
And,
The main congestion detector 100 identifies the closing of the door of the passenger room to exclude the influence of the wireless LAN communication environment from outside the passenger compartment and then waits until the passengers inside the passenger cabin set their positions, And monitors the variation pattern of the WLAN reference parameter in the internal space of the corresponding room to monitor a variation pattern of the WLAN reference parameter in the interior of the guest room so that the wLAN reference parameter exceeding the threshold strength caused by the movement of the passenger in the room, Increases the congestion point value every time a perturbation of the room is generated and calculates the congestion degree of the room for the room in proportion to the congestion point value generated for a predetermined period of time Subway congestion information management system.
delete delete The method according to claim 1,
Wherein the main congestion detector (100) temporarily consumes the corresponding payload when receiving the UDP dummy packet from the sub-congestion detector (100).
The method of claim 4,
A plurality of information gateways (700) installed on a rail path through which the subway train moves and providing a communication path for receiving the train congestion from the train congestion sensing system and delivering the train congestion to the congestion control server;
Wherein the system is further configured to control the congestion information management system based on the wobble parameter fluctuation.
The method of claim 5,
The congestion degree information panel 500 includes:
A plurality of screen door guide plates (510 to 530) arranged in a plurality of screen doors installed on the platform of the subway station in accordance with the door of the cabin and displaying the differential display corresponding to the congestion degree of the corresponding train in the anticipated train;
Wherein the control unit is configured to control the congestion information management unit based on the wakeup parameter fluctuation.
The method of claim 6,
A guide service server 400 receiving the train congestion information from the congestion control server and providing the train congestion information to a plurality of users through at least one of a text message, a multimedia message, a web push, and an e-mail;
Wherein the system is further configured to control the congestion information management system based on the wobble parameter fluctuation.

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