KR20160028845A - Method for deducing subway movement section based on context awareness and apparatus thereof - Google Patents

Abstract

The present invention relates to a context awareness service technique. Particularly, since a method for inferring a movement section of a subway based on context awareness extracts the movement section of the subway from a moving path formed by connecting in sequence coordinates of points measured with a constant time interval according as a user moves, comparative high probability and correct inference can be achieved in a vehicle line and a driving route, an inference error due to non load of a wireless access device in a section of the subway can be reduced, and a consumed current gain can be enhanced. Additionally, dependency on a wireless access method is high due to an error of mobile communication cell information in conventional technique, but the method can realize a cell based inference reinforcement through a solution of a cell cash problem. The method comprises the steps of: extracting a plurality of inference factor information by analyzing plural sensing information measured at each of the coordinates; giving an inference score by verifying the inference factor information according to preset inference reference; summating the inference scores corresponding to the coordinates and obtaining a plurality of coordinates with an inference score more than a critical value based on the summating; and inferring a section formed by sequential coordinates with the inference score more than the critical value of the moving path as the movement section of the subway.

Description

FIELD OF THE INVENTION [0001] The present invention relates to a method for deducing subway movement based on context awareness,

The present invention relates to a context aware service technique, and more particularly, to a context aware service technique, in which context-based subway movement segments are extracted from a movement path formed by sequentially connecting coordinates of points measured at predetermined time intervals, Inference method and an apparatus therefor.

The contents described in this section merely provide background information on the present embodiment and do not constitute the prior art.

With the development of the mobile communication network and the development of the terminal specification, the mobile communication terminal has become a necessity of modern people and has evolved into a total entertainment device beyond the conventional category of simple communication apparatus or information providing apparatus.

In addition, technologies for performing short-range wireless data communication between devices located in close proximity of a mobile communication terminal are rapidly developing. Such short-range wireless data communication is widely used for smart phones, geo-fencing, . In recent years, smart devices, which are intelligent terminals that add Internet communication and information retrieved computer support functions to mobile communication terminals, have become popular, so that applications can be installed and various services can be provided.

In addition, technologies for automatically recognizing users' daily lives based on context recognition technology are being developed. The recording and archiving of the user's entire daily life is referred to as a life log, and a user can install an application and receive a context aware service in order to use the life log based context aware service. In addition, the context aware service systematically analyzes the user's location information, biometric information, motion detection, and momentum information, and records the user's daily life, such as walking, stopping, and moving through the transportation means.

However, the conventional situation recognition technology has an inconvenience in that it is not possible to determine the exact situation whether the user is presently in the subway moving section in positioning the user.

Korean Patent Laid-open Publication No. 10-2014-0060369 A, published May 19, 2014 (name: detection of a mobile device aboard a vehicle)

In order to solve the problem that the user can not accurately determine whether or not the user is present in the subway moving section in the conventional situation recognition technology, the object of the present invention is to provide a method and apparatus for sequentially connecting coordinates The present invention provides a method for inferring a subway moving region based on a context awareness and a device for the same.

However, the object of the present invention is not limited to the above-mentioned objects, and other objects not mentioned can be clearly understood from the following description.

According to an aspect of the present invention, there is provided a method for inferring a subway moving area based on a context-awareness, comprising the steps of: Extracting a plurality of pieces of inference element information by analyzing a plurality of sensing information measured at each coordinate, and extracting a plurality of inference element information according to a preset reasoning criterion, Obtaining a plurality of coordinates having an inference score greater than or equal to a threshold value by summing up the inference scores for each of the coordinates and obtaining a plurality of coordinates having consecutive coordinates having an inference score of a threshold value or more among the movement paths, And deriving the section as a subway moving section.

According to another aspect of the present invention, there is provided a method of inferring a subway movement region based on context awareness, comprising the steps of removing, from a reason point section, a section in which a distance between adjacent coordinates is less than a predetermined value, .

According to another aspect of the present invention, there is provided a method for inferring a subway movement region based on context awareness, wherein the step of extracting inferential factor information comprises: acquiring an ID of the context aware device, a collection time for the coordinates, a latitude and longitude of the coordinate, Existence of a subway station, existence of a wireless access signal mapped to a specific coordinate, and mobile communication cell information.

In addition, in the context awareness-based subway movement section inference method according to the present invention, the step of giving a reasoning score gives a predetermined reasoning score when at least one subway station exists within a certain distance based on a specific coordinate.

According to another aspect of the present invention, there is provided a method for inferring a subway movement region based on context awareness, the step of assigning a reasoning score includes: when a mobile communication cell information of a specific coordinate coincides with mobile communication cell information of a subway, do.

Further, in the context-aware subway movement section inference method according to the present invention, the step of giving a reasoning score gives a predetermined reasoning score when a wireless access signal mapped to a specific coordinate is included.

According to another aspect of the present invention, there is provided a method of inferring a subway moving area based on context awareness, wherein the step of assigning an inference score is performed by checking the number of coordinates whose inference score is 0 within a section composed of a plurality of coordinates, Is 0 or more than the predetermined number of consecutive times, removing the coordinates other than the initial coordinates and the last coordinates included in the interval from the corresponding interval.

According to another aspect of the present invention, there is provided a method for inferring a subway moving area based on context awareness, the step of assigning a reasoning score includes: designating, as a pattern, a section in which wireless connection signals mapped to specific coordinates in inferred element information are continuously collected; When the pattern ends, the step of assigning a predetermined reasoning score to all the coordinates from the first coordinate at which the detection of the wireless access signal starts to the coordinate at which the last wireless access signal is detected is provided to the corresponding section.

According to another aspect of the present invention, there is provided a method for inferring a subway moving area based on context awareness, the method comprising: extracting location information on coordinates collected from mobile communication cells among location information collected through a plurality of location search methods; .

According to another aspect of the present invention, there is provided a method for inferring a subway movement region based on context awareness, the step of providing an inference score includes: when mobile communication cell information associated with a subway is included in adjacent coordinates, .

According to another aspect of the present invention, there is provided a method for inferring a subway movement region based on context awareness, the method comprising the steps of: determining whether a speed of a specific section is equal to or greater than a threshold value; And if the mobile communication cell is a mobile communication cell related to the subway, assigning a predetermined reasoning score to all the coordinates of the corresponding region.

According to another aspect of the present invention, there is provided a method of inferring a subway moving area based on context awareness, the step of providing a reasoning score includes the steps of determining whether a subway station adjacent to a point exists at a location collecting point, , A step of giving a predetermined reasoning score to all the coordinates of the team.

According to another aspect of the present invention, there is provided a method of inferring a subway moving area based on context awareness, the method comprising: prior to a step of inferring a subway moving area, And if the at least one adjacent subway station does not exist, removing the coordinates from the subway moving section.

The context-aware apparatus according to an embodiment of the present invention includes an inference element information extraction unit that analyzes a plurality of sensing information measured at each coordinate and extracts a plurality of inference element information, and a plurality of inference element information A plurality of coordinates having an inference score greater than or equal to the threshold value are obtained by summing up the inference scores for each of the coordinates and the inference scores for each of the coordinates, And a mobile section inference section for inferring the section composed of the mobile section as a subway moving section.

In addition, the context-aware apparatus according to the present invention further includes a storage unit for storing information on the inferred subway movement period, which is inferred by reflecting a reasoning score and an inference score for each coordinate given based on the inference element information.

According to the present invention, the context awareness-based subway movement inference method enables a relatively high probability and accurate reasoning within a service route and a service route.

In addition, it is possible to reduce the reasoning error due to the failure of the wireless access device in the subway section.

In addition, cell-based reasoning can be strengthened by solving the cell cache problem, and the consumption current gain can be increased.

1 is a diagram illustrating a configuration of a context awareness based subway movement section reasoning system according to an embodiment of the present invention.
2 is a block diagram showing a configuration of a situation-aware apparatus according to the present invention.
FIG. 3 is a flowchart illustrating a method of inferring a subway moving area based on context awareness according to the present invention.
4 is a flowchart for explaining a method of giving a reasoning score according to the present invention.
FIGS. 5 to 15 are diagrams for explaining a context awareness based subway movement section inference method according to the present invention.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. In the following description and the accompanying drawings, detailed description of well-known functions or constructions that may obscure the subject matter of the present invention will be omitted. It should be noted that the same constituent elements are denoted by the same reference numerals as possible throughout the drawings.

The terms and words used in the present specification and claims should not be construed to be limited to ordinary or dictionary meanings and the inventor is not limited to the concept of terminology for describing his or her invention in the best way. It should be interpreted as meaning and concept consistent with the technical idea of the present invention. Therefore, the embodiments described in the present specification and the configurations shown in the drawings are merely the most preferred embodiments of the present invention, and not all of the technical ideas of the present invention are described. Therefore, It is to be understood that equivalents and modifications are possible.

Hereinafter, a context awareness based subway movement section reasoning system according to embodiments of the present invention will be described in detail. Here, the moving means according to the embodiments of the present invention will be described as a representative example of the subway, but the moving means may include a train, a train, a train, an automobile, etc. in addition to the subway.

1 is a diagram illustrating a configuration of a context awareness based subway movement section reasoning system according to an embodiment of the present invention.

Referring to FIG. 1, the context awareness based subway movement section reasoning system according to the embodiments of the present invention communicates with the context awareness device 100 and the context awareness device 100 possessed by the user through a communication network, 10b and 10c: 10 (Wi-Fi) of short-distance wireless data communication installed in each sub-object of the subway and the mobile communication radio access devices 20a, 20b, 20c: 20 (eNode B).

The context awareness apparatus 100 may be a terminal or a software program or the like that can be installed in a terminal or a terminal capable of transmitting and receiving various data via a communication network in accordance with a key operation of a user and performing a function therefor.

The context awareness apparatus 100 may be connected to a communication network and may install and store one or more applications provided from the service apparatus 200 and may execute any application installed at the request of the user. However, the present invention is not limited to the mobile communication terminal but may be applied to all information communication devices, multimedia terminals, wired terminals, fixed terminals, and IP (Internet Protocol) terminals And the like. The circumstance recognition apparatus 100 may be a mobile phone, a portable multimedia player (PMP), a mobile Internet device (MID), a smart phone, a desktop, a tablet PC, A mobile phone having various mobile communication specifications such as a netbook, an information communication device, and the like. In addition, the context-awareness apparatus 100 may be configured to be mounted in another terminal.

In particular, the context awareness apparatus 100 according to embodiments of the present invention measures the current position of the user every predetermined period (for example, one minute) through an application or program for inferring a subway moving section, Location information can be stored. Here, the situation recognition apparatus 100 may collect coordinates related to the current position of the user using a plurality of sensors, a Global Positioning System (GPS), and a Hybrid Positioning System (HPS).

The context awareness device 100 includes an access point (AP) 10, which is one or more near-field wireless data communication wireless access devices installed in the subway at the user's current location, or an eNode B 20, And can locate the user through the unique identification information included in the scanned radio signal. Meanwhile, radio signals scanned at the current location of the user include radio signals related to the subway (for example, a radio access device (AP) 10 installed in each object or a mobile communication radio access device eNode B installed in a subway station 20) may also be included. For example, MAC address information collected from a wireless access device (AP) 10 installed in each carriage of a subway and cell information collected from the mobile communication access point 20 , Long Term Evolution (LTE) cell information).

The situation recognition apparatus 100 analyzes a plurality of sensing information measured at each coordinate and extracts a plurality of inference element information. Here, the inference element information includes ID of the situation recognition apparatus 100, acquisition time for each coordinate, latitude and longitude of each coordinate, presence or absence of a nearby subway station based on each coordinate, The presence or absence of a wireless access signal (MAC address) to be mapped, and mobile communication cell information. Then, the context awareness apparatus 100 confirms a plurality of inference element information according to a preset reasoning criterion, and gives an inference score. Here, the reasoning criterion is to check whether there is a subway existing in a certain period, confirm whether there is an adjacent subway, check whether the subway has a correspondence with mobile communication cell information, check whether there is a wireless access signal (MAC address) It is possible to confirm whether or not there are consecutive co-ordinates in which the sum of reasoning points is 0, to confirm a change pattern of a wireless access signal (MAC address) mapped to a specific coordinate, to confirm coordinates of position information collected from a mobile communication cell, Information of the change pattern of mobile communication cell information, and an adjacent pattern confirmation for the subway station. The inference criterion is applied to give the inference score for each inference element information .

The situation recognition apparatus 100 adds up the inference scores for each coordinate to obtain a plurality of coordinates having an inference score of a threshold value or more. Then, the context awareness device 100 deduces, as a subway moving segment, a segment of consecutive coordinates having an inference score of a threshold value or more in the movement path.

A concrete description of the method of giving the reasoning score will be described in detail with reference to the following drawings.

The service device 200 can manage vehicle-related information (unique identification information of a wireless access device installed in a subway or a subway station, installed location information, route information, etc.) in cooperation with one or more context aware devices 100 through a communication network . In addition, the service device 200 can transmit the confirmation result of the unique identification information related to the subway to the situation recognition device 100. [

A processor mounted on the context-aware apparatus 100 or the service apparatus 200 according to an embodiment of the present invention may process program instructions for executing the method according to the present invention. In one implementation, the processor may be a single-threaded processor, and in other embodiments, the processor may be a multi-threaded processor. Further, the processor is capable of processing instructions stored on a memory or storage device.

The situation recognition apparatus 100 and the service apparatus 200 are linked through a communication network (not shown). The communication network can be connected to the Internet using an Internet protocol, an intranet network, a mobile communication network, a satellite communication network, It is a network that can send and receive data. Such a communication network can be classified into a Code Division Multiple Access (CDMA), a Wideband Code Division Multiple Access (WCDMA), and a Wideband Code Division Multiple Access (WCDMA) as well as a closed network such as a LAN (Local Area Network) , Global System for Mobile Communications (GSM), Long Term Evolution (LTE), Evolved Packet Core (EPC), and other future network and computing networks. Meanwhile, the communication network is not limited to the above-described communication methods, and may include all other known or later-developed communication methods in addition to the communication methods described above.

The context awareness apparatus 100 for context awareness based subway movement section inference according to the embodiment of the present invention will be described.

2 is a block diagram showing a configuration of a situation-aware apparatus according to the present invention.

2, the context-awareness apparatus 100 includes a reasoning element information extracting unit 110, a reasoning point calculating unit 120, a moving region deducing unit 130, a storage unit 140, A controller 150, a sensor unit 160, and a communication unit 170.

The storage unit 140 is a device for storing data, and includes a main storage device and an auxiliary storage device, and stores an application program required for the functional operation of the context-aware device 100. [ The storage unit 140 may include a program area and a data area. In particular, the storage unit 140 according to the present invention includes a program for analyzing sensing information measured at each coordinate in a program area, a program for extracting inference element information based on sensing information, And a program for extracting coordinates having an inference score of a threshold value or more by summing inference scores for each coordinate and deducing a section composed of consecutive coordinates having an inference score of a threshold value or more in the movement path. In addition, the storage unit 140 stores information on the inferred subway movement period by reflecting the reasoning score and the reasoning score of each coordinate given based on the inference element information in the data area.

The position information providing unit 150 receives the GPS signal from at least one GPS (Global Positioning System) satellite and grasps the current position information such as the latitude and longitude of the situation recognition apparatus 100. However, when using only a received signal from the GPS satellite, an error may occur. Therefore, the position information providing unit 150 may use round trip delay information, pilot phase ) File information etc. can be operated together with GPS signal. Here, the base station plays two roles. One is for relaying data transmission between the communication center and the context awareness device 100, and the other is for transmitting data for identifying the location of the context awareness device 100, i.e., the location of the user. Accordingly, the position information providing unit 150 receives the above-described position information and grasps the position of the situation recognition apparatus 100 or receives position information from three or more base stations, Location information can be grasped.

In addition, the position information providing unit 150 may use HPS (Hybrid Positioning System) to measure position information. At this time, HPS can improve the accuracy of location-based service search by using a hybrid location measurement technology using Wi-Fi, GPS, and mobile communication base station. Therefore, when the HPS is applied to the position information providing unit 150, it is possible to reduce the measurement error occurring in the GPS receiving method and to measure both indoor and outdoor.

The sensor unit 160 emits light and senses a physical signal such as movement of a user or movement of an object input from the outside, and transmits the sensed physical signal to a signal processing unit (not shown). At this time, the sensor unit 160 may use an infrared sensor that detects the approach of an external object to a predetermined sensing area by using infrared rays. Here, the sensor unit 160 may be divided into an active type that detects the change by blocking the light by copying the infrared rays, and a manual type that detects only the change of the infrared rays received from the outside without having the light emitting unit. For example, when the sensor unit 160 is configured to be active, a light emitting unit (not shown) formed of a light emitting diode (LED) that emits infrared rays (IR) (Not shown) composed of a diode or a detector such as a transistor (Transister, TR). In particular, the sensor unit 160 according to the present invention may be equipped with an acceleration sensor to measure the linear velocity in order to recognize the user's situation. Here, the linear velocity means an acceleration in a linear direction on the assumption that the user performs rotational motion and linear motion. On the other hand, the acceleration in the rotating direction can be the angular acceleration. The line speed increases or decreases the speed at which the user moves, but the angular speed changes the angular speed of the user. In addition, the line speed can be determined according to the force acting on the direction of the user's motion. At this time, the acceleration sensor is a three-axis acceleration sensor of X, Y, Z axis, and can detect a three-axis acceleration signal according to the user's motion.

The communication unit 170 performs a function of transmitting and receiving data to and from the service device 200 through a communication network. Here, the communication unit 170 includes RF transmitting means for up-converting and amplifying the frequency of the transmitted signal, RF receiving means for low-noise amplifying the received signal and down-converting the frequency. The communication unit 170 may include at least one of a wireless communication module (not shown) and a wired communication module (not shown). The wireless communication module is configured to transmit and receive data according to a wireless communication method. When the circumstance recognition device 100 uses wireless communication, the wireless communication module transmits either one of a wireless network communication module, a wireless LAN communication module, And can transmit and receive data to and from the service apparatus 200 by using the data. The wired communication module is for transmitting / receiving data by wire. The wired communication module can connect to the communication network through a wired line and transmit / receive data to / from the service device 200. That is, the circumstance recognition apparatus 100 connects to a communication network using a wireless communication module or a wired communication module, and can transmit and receive data with the service apparatus 200 through a communication network.

The reasoning element information extracting unit 110, the reasoning point calculating unit 120, and the moving region deducing unit 130 may be configured to detect the location of the subway moving region And the like.

In particular, the inference element information extraction unit 110 according to the embodiment of the present invention analyzes a plurality of sensing information measured at each coordinate and extracts a plurality of inference element information. Here, the inference element information includes the ID of the situation recognition apparatus 100, the collection time for each coordinate, the latitude and longitude of each coordinate, the presence or absence of a nearby subway station based on each coordinate, MAC address), mobile communication cell information, and the like. On the other hand, before extracting the inference element information, the inference element information extraction unit 110 removes a section in which the distance between adjacent coordinates is less than a predetermined value, from the inference point section. That is, the inference element information extraction unit 110 determines that the coordinates less than the predetermined distance are elements that do not affect the determination of the subway, and removes the corresponding interval for the processing speed.

The inference score calculator 120 confirms a plurality of inference element information according to a preset reasoning criterion and gives an inference score. Here, the reasoning criterion is to check whether there is a subway existing in a certain period, confirm whether there is an adjacent subway, check whether the subway has a correspondence with mobile communication cell information, check whether there is a wireless access signal (MAC address) It is possible to confirm whether or not the coordinates of the interval in which the sum of the reasoning points is 0 continuously, to confirm the change pattern of the wireless access signal (MAC address) mapped to the specific coordinates, to confirm the coordinates of the position information collected from the mobile communication cell, A congestion point calculation unit 120 for determining a congestion factor of the mobile station based on the inference criterion, and a congestion factor calculation unit 120 for calculating a congestion factor Give reasoning points about the information.

On the other hand, the reasoning score calculating unit 120 removes the position information of the coordinates collected from the mobile communication cells among the position information collected through the plurality of position searching methods, so that the reasoning score is not given.

The moving-region inferring unit 130 sums the inference scores of each coordinate to obtain a plurality of coordinates having an inference score of a threshold value or more, and sets a section of consecutive coordinates having an inference score of a threshold value or more, It is deduced as a moving section. At this time, the movement section reasoning unit 130 confirms whether there is a subway station adjacent to the last generated coordinate in a section including a plurality of coordinates having a reasoning score, and if the presence of at least one adjacent subway station does not exist , The coordinates can be removed from the subway moving section.

On the other hand, the memory mounted in the situation recognition apparatus 100 or the service apparatus 200 stores information in the apparatus. In one implementation, the memory is a computer-readable medium. In one implementation, the memory may be a volatile memory unit, and in other embodiments, the memory may be a non-volatile memory unit. In one implementation, the storage device is a computer-readable medium. In various different implementations, the storage device may include, for example, a hard disk device, an optical disk device, or any other mass storage device.

Although the present specification and drawings describe exemplary device configurations, the functional operations and subject matter implementations described herein may be embodied in other types of digital electronic circuitry, or alternatively, of the structures disclosed herein and their structural equivalents May be embodied in computer software, firmware, or hardware, including, or in combination with, one or more of the foregoing. Implementations of the subject matter described herein may be embodied in one or more computer program products, i. E. One for computer program instructions encoded on a program storage medium of the type for < RTI ID = 0.0 & And can be implemented as a module as described above. The computer-readable medium can be a machine-readable storage device, a machine-readable storage substrate, a memory device, a composition of matter that affects the machine readable propagation type signal, or a combination of one or more of the foregoing.

[0052] The context awareness-based subway movement section inference process according to the embodiment of the present invention will be described in more detail with reference to FIG. 3 to FIG.

FIG. 3 is a flowchart for explaining a method of inferring a subway moving area based on context awareness according to the present invention, FIG. 4 is a flowchart specifically illustrating a method of giving a reasoning score according to the present invention, FIG. 2 is an exemplary diagram for explaining a method of inferring a subway moving region based on context awareness according to the invention.

Referring to FIGS. 3 and 4, the context aware apparatus 100 analyzes a plurality of sensing information measured at each coordinate and extracts a plurality of inference element information (S301 to S303). Here, the inference element information includes the ID of the situation recognition apparatus 100, the collection time for each coordinate, the latitude and longitude of each coordinate, the presence or absence of a nearby subway station based on each coordinate, MAC address), mobile communication cell information, and the like.

In step S305, the circumstantial cognitive device 100 confirms a plurality of inference element information according to a preset reasoning criterion and gives a reasoning score.

The following is a detailed description of the process of giving an inference score. The context awareness apparatus 100 removes a section having a small movement amount in step S31. That is, the situation-aware apparatus 100 regards the coordinates less than a certain distance (for example, 50 m) as an element that does not affect the subway determination and removes it from the moving section to improve the processing speed. For example, as shown in FIG. 5, when the distance between the first coordinate 501 and the second coordinate 503 in the point (coordinate) on the moving section is 50 m, The coordinate 503 is removed on the moving section, and the first coordinate 501 is followed by the third coordinate 505 successively.

In addition, the situation-aware apparatus 100 confirms presence of an adjacent subway station in step S33 and gives a predetermined reasoning score. Here, the situation recognition apparatus 100 confirms the distance between the specific coordinates and the subway station, and reflects the predetermined score to the inference score when the confirmed distance is within a certain distance (for example, 100 m). 6, the situation-aware apparatus 100 measures the distance between the coordinates 601 and the subway station 603, and the distance between the coordinates 601 and the subway station 603, as a result of measuring the distance between the coordinates 601 and the subway station 603. [ Is less than 100 m, 20 points are added to the inference score of the coordinate (601).

In step S35, the context-awareness device 100 checks whether the subway car is in agreement with the mobile communication cell information and gives a predetermined reasoning score. Here, the situation recognition apparatus 100 determines whether the mobile communication cell information of the collected coordinates coincides with the mobile communication cell information of the subway. Then, as a result of the determination, the situation recognition apparatus 100 reflects a certain score in the inference score when the respective mobile communication cell information coincides with each other. In this case, because the cell cache error for the mobile communication cell is low, the deduction score for the reasoning score is low, and the reasoning score can be further reflected when the cell cache is resolved. For example, as shown in FIG. 7, when the mobile communication cell information of the corresponding coordinates and the subway mobile communication cell information coincide among the collected coordinates, the corresponding coordinates 701, 703, 705, 707, and 709 are added to the reasoning score.

In step S37, the circumstance recognition apparatus 100 determines whether there is a wireless access signal (MAC address) mapped to a specific coordinate and gives a predetermined reasoning score. Here, when the situation recognition apparatus 100 has a wireless access signal (MAC address) mapped to a specific coordinate, a certain score is reflected in the inference score for the coordinate. For example, as shown in FIG. 8, the context awareness apparatus 100 may calculate an inference score for each of the coordinates (801, 803, 805, and 807) including the wireless access signal (MAC address) Add 10 points each.

In step S39, the circumstantial cognitive apparatus 100 checks whether the coordinates of the section having the sum of the inference scores O are continuously present, and removes the section according to the result of the check. In other words, the context awareness apparatus 100 can determine whether or not there is a reasoning point giving process (confirmation of movement amount, existence of an adjacent subway station, confirmation of mobile communication cell information, and existence of a wireless access signal (MAC address) If coordinates with a sum of inference scores of 0 are continuously displayed with a certain number (eg, five) or more, the corresponding coordinates are removed on the interval (subway movement reasoning interval). At this time, in order to prevent a situation where two different situations overlap each other, the context awareness apparatus 100 maintains both end coordinates in the subway moving deduction period without removing the coordinates. For example, the context-awareness device 100 checks coordinates (901 to 913) having a sum of reasoning points out of the coordinates forming the interval, and calculates the coordinates of the first coordinate (901) and the last coordinate (903 to 911) between the coordinates except the coordinates (913) are removed in the interval.

In step S41, the circumstance recognition apparatus 100 grants a predetermined reasoning score according to a change pattern of a wireless access signal (MAC address) mapped to a specific coordinate. Here, the context awareness apparatus 100 defines that a list of the same wireless access signal (MAC address) is continuously collected. The context awareness apparatus 100 starts pattern checking from the time when a wireless access signal (MAC address) mapped to a specific coordinate in the subway train carriage is first collected, and transmits the same wireless access signal (MAC address) The pattern search is performed again from the next coordinates when a certain number of times (for example, three times) of occurrence of no pattern or no pattern appears. On the other hand, when the pattern is deviated, the situation recognition apparatus 100 reflects a certain score in all points from the pattern start coordinate to the final coordinate in the inference score. For example, as shown in FIG. 10, when the wireless access signal (MAC address) appears more than three times, the situation recognition apparatus 100 recognizes the pattern as a pattern from this point, , 1005, 1007, and 1009 are added to the reasoning score by 60 points.

In addition, the context aware apparatus 100 removes the coordinates of the location information collected from the mobile communication cell in step S43. That is, the context-awareness device 100 removes the coordinates collected from the cell among the three types of location information (cell, wireless access signal (MAC address), 3D location) collected from the HPS. If the coordinates collected from the cell are removed in any of the previous steps, it is removed at the current point because there is no error that there is no location collected at that point. For example, as shown in FIG. 11, the context-aware apparatus 100 may include coordinates 1103, 1105, and 1111 collected from a cell, coordinates 1101, 1109, and 1117 collected from a wireless access signal (MAC address) And coordinates (1103, 1105, 1111) collected from the cell among the coordinates (1107, 1119) collected from the 3D location in the interval.

In step S45, the context aware apparatus 100 checks a continuous pattern of the mobile communication cell information and provides a predetermined reasoning score. Here, the context awareness apparatus 100 reflects the reasoning score in each coordinate when the neighboring coordinates have the subway mobile communication cell information. For example, as shown in FIG. 12, the context awareness apparatus 100 adds 10 points to the reasoning score for each of the coordinates 1201 to 1205 at which the subway mobile communication cell information is continuously collected. At this time, the reason points are not reflected on the coordinates 1207 and 1209, which are the coordinates collected by the mobile communication cell information but are not continuously collected.

In step S47, the context aware apparatus 100 gives predetermined reasoning points according to the change pattern of the mobile communication cell information. At this time, when the situation recognition apparatus 100 confirms the speed within the section, it is judged that the situation is a shift when the speed is higher than a critical speed (for example, 200 m / min). When the collected mobile communication cell information of a certain number of consecutive coordinates (for example, three) are consecutive on the move, the context awareness apparatus 100 adds the mobile communication cell information to the pattern interval, As the inference score. For example, as shown in FIG. 13, when the continuous coordinates 1307, 1309, and 1311 have mobile communication cell information, i.e., the Fail coordinates 1301, 1303, and 1305 If the three consecutive co-ordinates have the mobile communication cell information of the subway, 30 points are added to the inference scores for the respective coordinates 1307, 1309, and 1311.

In addition, the context-awareness device 100 confirms the adjacent pattern of the subway station at step S49 and gives a predetermined reasoning score. Here, the situation recognition apparatus 100 determines whether there is a subway station adjacent to the location collecting point. Then, the context awareness apparatus 100 confirms whether or not each subway station adjacent to a certain number of consecutive coordinates (e.g., three) in the presence of an adjacent station exists on the same line or route, do. Then, the context awareness apparatus 100 adds the section as a pattern section according to the result of the check, and reflects the reasoning score in all the patterns. For example, as shown in FIG. 14, the context awareness device 100 identifies an adjacent station and determines whether it has moved along a subway line. If the context awareness apparatus 100 is within an adjacent movable section, the context-aware apparatus 100 adds 50 points to the inference scores for the respective coordinates 1401 and 1403.

The circumstantial cognitive apparatus 100 sums the inference scores for each coordinate and acquires a plurality of coordinates having an inference score of a threshold value or more (S307 to S309). On the other hand, the situation recognition apparatus 100 confirms whether or not an adjacent subway station exists in association with the last generated coordinate in a section including a plurality of coordinates having an inference score. If it is determined that the adjacent subway station does not exist, the situation recognition apparatus 100 removes the coordinates from the subway moving section. In addition, the situation-aware apparatus 100 can determine that the interval in which the wireless access signal (MAC address) mapped to the specific coordinates in each section is not collected is not on the subway.

In step S311, the context-awareness device 100 deduces a section including consecutive coordinates having a reasoning score of a threshold value or more as a subway moving section. For example, as shown in FIG. 15, the context awareness apparatus 100 can determine a subway moving section through a reasoning score, and can determine a subway moving section having a threshold score (for example, 70 points) (1501) section from A to B, and C (1503) section from B to B can be deduced as the subway moving section.

While the specification contains a number of specific implementation details, it should be understood that they are not to be construed as limitations on the scope of any invention or claim, but rather on the description of features that may be specific to a particular embodiment of a particular invention Should be understood. Certain features described herein in the context of separate embodiments may be implemented in combination in a single embodiment. Conversely, various features described in the context of a single embodiment may also be implemented in multiple embodiments, either individually or in any suitable subcombination. Further, although the features may operate in a particular combination and may be initially described as so claimed, one or more features from the claimed combination may in some cases be excluded from the combination, Or a variant of a subcombination.

Likewise, although the operations are depicted in the drawings in a particular order, it should be understood that such operations must be performed in that particular order or sequential order shown to achieve the desired result, or that all illustrated operations should be performed. In certain cases, multitasking and parallel processing may be advantageous. Also, the separation of the various system components of the above-described embodiments should not be understood as requiring such separation in all embodiments, and the described program components and systems will generally be integrated together into a single software product or packaged into multiple software products It should be understood.

It should be noted that the embodiments of the present invention disclosed in the present specification and drawings are only illustrative of specific examples for the purpose of understanding and are not intended to limit the scope of the present invention. It will be apparent to those skilled in the art that other modifications based on the technical idea of the present invention are possible in addition to the embodiments disclosed herein.

The present invention extracts a subway moving section from a moving route formed by sequentially connecting coordinates of points measured at predetermined time intervals according to user movement. According to this, it is possible to make a relatively high probability and accurate reasoning within the service route and the route of operation, and to reduce the reasoning error due to the failure of the wireless access device in the subway section. In addition, cell-based reasoning can be strengthened by solving the cell cache problem, and the consumption current gain can be increased. This is not only a possibility of commercialization or sales, but also a possibility of being industrially applicable since it is practically possible to carry out clearly.

10: radio access device (AP) 20: radio access device (eNB)
100: situation recognition device 200: service device
110: inference component information extracting unit 120:
130: Moving Region Reasoning Unit 140:
150: Position information providing unit 160: Sensor unit
170:

Claims (15)

A method for inferring a subway moving area based on a context awareness in which a subway moving area is extracted from a moving route formed by sequentially connecting coordinates measured at a predetermined time interval according to user movement,
Analyzing a plurality of sensing information measured at each coordinate and extracting a plurality of inference element information;
Identifying the plurality of reasoning element information according to a predetermined reasoning criterion to give an inference score;
Summing an inference score for each coordinate to obtain a plurality of coordinates having an inference score of a threshold value or more; And
Deducing a section of consecutive coordinates having a reasoning score of the threshold value or more out of the movement paths as a subway moving section;
Based on the context-aware subway movement interval. 2. The method according to claim 1, further comprising, before the step of extracting the reasoning element information,
Removing, in the movement path, an interval in which a distance between adjacent coordinates is equal to or less than a predetermined value, from a reason point section;
The method further comprising the step of: The method according to claim 1, wherein the extracting of the inference element information
The ID of the situation recognition device, the collection time for the coordinates, the latitude and longitude of the coordinates, the presence or absence of a nearby subway station based on the coordinates, the presence or absence of a wireless access signal (MAC address) And extracting one or more pieces of information from the cell information. The method according to claim 1, wherein the step of assigning the reasoning score
Wherein the predetermined reasoning score is given when at least one subway station exists within a predetermined distance based on a specific coordinate. The method according to claim 1, wherein the step of assigning the reasoning score
When the mobile communication cell information of the specific coordinates coincides with the mobile communication cell information of the subway, a predetermined reasoning score is given. The method according to claim 1, wherein the step of assigning the reasoning score
When a wireless access signal (MAC address) mapped to a specific coordinate is included, the predetermined reasoning score is given. The method according to claim 1, wherein the step of assigning the reasoning score
If the number of co-ordinates having the reasoning score of 0 is checked within a section composed of a plurality of co-ordinates, and if the number of co-ordinates having an inference score of 0 is continuously more than a predetermined number as a result of the checking, And removing the remaining coordinates except for the last coordinate in the corresponding interval;
The method further comprising the step of: The method according to claim 1, wherein the step of assigning the reasoning score
Designating as a pattern a section in which wireless connection signals mapped to specific coordinates in the inference element information are continuously collected; And
Assigning a predetermined reasoning score to all coordinates from a first coordinate at which the sensing of the wireless access signal starts to a coordinate at which the last wireless access signal is sensed for the corresponding section when the pattern ends;
Based on the context-aware subway movement interval. The method according to claim 1, wherein the step of assigning the reasoning score
Removing positional information on coordinates collected from mobile communication cells among positional information collected through a plurality of position search methods;
The method further comprising the step of: The method according to claim 1, wherein the step of assigning the reasoning score
And if the mobile communication cell information associated with the subway is included in each of the adjacent coordinates, a predetermined reasoning score is assigned to each of the coordinates. The method according to claim 1, wherein the step of assigning the reasoning score
Determining whether a speed of the specific section is equal to or greater than a threshold value;
Confirming the mobile communication cell information collected at the coordinates of consecutive locations when the speed is above a threshold value; And
If the mobile communication cell is a mobile communication cell related to a subway, assigning a predetermined reasoning score to all coordinates of the corresponding interval;
Based on the context-aware subway movement interval. The method according to claim 1, wherein the step of assigning the reasoning score
Determining whether there is a subway station adjacent to the location for the location collection point; And
If a neighboring subway station exists as a result of the determination, assigning a predetermined reasoning score to all coordinates of the team;
Based on the context-aware subway movement interval. The method of claim 1, further comprising, prior to the step of inferring the subway moving section,
Confirming whether or not an adjacent subway station is present in relation to the last generated coordinate in a section including a plurality of coordinates having the reasoning score; And
If the at least one adjacent subway station does not exist, removing the coordinates from the subway moving section;
The method further comprising the step of: An inference element information extraction unit for analyzing a plurality of sensing information measured at each coordinate and extracting a plurality of inference element information;
A reasoning score calculation unit for checking the plurality of reasoning element information according to a predetermined reasoning criterion to give a reasoning score; And
A plurality of coordinates having an inference score greater than or equal to a threshold value are obtained by summing inference scores for each of the plurality of coordinates to obtain a plurality of coordinates, and a section including consecutive coordinates having an inference score greater than or equal to the threshold value, Section Reasoning Section;
Lt; RTI ID = 0.0 > 1, < / RTI > 15. The method of claim 14,
A storage unit for storing information on a reasoning point of each coordinate given based on the reasoning factor information and information about a subway movement period deduced by reflecting the reasoning score;
Lt; RTI ID = 0.0 > 1, < / RTI >

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