KR20200101500A - Smart order system based on determination of customer entry in store - Google Patents

Abstract

The present invention relates to a smart order system based on store entry determination. The present invention includes: a beacon device installed in each store and periodically sending a beacon signal including a unique address; a user terminal activating a smart order app on the background and measuring and transmitting the RSSI value of the beacon signal and a motion sensing value depending on time in a case where the beacon signal is received with the user terminal within the reach of the signal of the beacon device; and a management server determining whether a customer has entered the store by using a customer behavior pattern analyzed through the motion sensing value and the RSSI value of the beacon signal and determining whether to automatically execute the smart order app through the screen of the user terminal. The management server performs control such that the smart order app is not executed until it is determined that the customer has entered the store and the smart order app is automatically executed on the screen of the user terminal and a product order page of the store is displayed once the entry is determined. According to the present invention, it is possible to automatically execute on the screen the smart order app supporting product order in the store for the customer who has entered the store based on the motion sensing-based customer behavior pattern and the intensity of the beacon signal received at the user terminal. Accordingly, it is possible to provide more convenient and reliable smart order service linked to store entry.

Description

Smart order system based on determination of customer entry in store

The present invention relates to a smart order system based on store entry determination, and more particularly, to support order and payment of products in the store by automatically executing a smart order app on the screen of a user terminal in connection with the customer's store entry. It relates to a smart order system based on store entrance determination.

In recent years, in various stores, the introduction of kiosk equipment in which visiting customers directly order and pay for products is increasing rapidly. However, since most of the kiosk equipment is bulky and high in rental and maintenance costs, there are disadvantages in that space constraints and cost burden are high.

There is also a payment method that directly accesses the URL based on a QR code or NFC tag, but in this case, it is cumbersome and inconvenient to use because you must directly scan the code after running the QR code reader application and activate the NFC operation to directly contact the device. Of course, there is a disadvantage that the target audience is limited.

Accordingly, there is a need for a new system that can support product order and payment through a smart phone held by a customer when entering a store without additional tagging or contact while enhancing customer convenience.

The technology behind the present invention is disclosed in Korean Patent Publication No. 2015-0052456 (published on May 14, 2015).

An object of the present invention is to provide a smart order system based on store entry determination that supports ordering and payment of products in a corresponding store by automatically executing a smart order app on the screen of a user terminal in connection with the customer's store entry.

In the present invention, in a smart order system based on store entrance determination, a beacon device installed for each store and periodically transmitting a beacon signal including a unique address, and a beacon signal by approaching within a signal reach of the beacon device In one case, a user terminal that activates the smart order app in the background and measures and transmits the RSSI value of the beacon signal and the motion sensing value over time, and the customer behavior pattern analyzed through the motion sensing value and the RSSI value of the beacon signal And a management server that determines whether the customer enters the store by using, and determines whether to automatically run the smart order app through the screen of the user terminal, and the management server is smart until it is determined as the customer's entry state. It provides a smart order system that waits for the execution of the order app and controls to display the product order page of the corresponding store by automatically executing the smart order app on the screen of the user terminal when it is determined as the entry state.

In addition, the user terminal may measure the motion sensing value using an acceleration sensor and a gyro sensor.

In addition, the management server builds learning data for each store by learning the RSSI value and the behavior pattern previously accumulated through the user terminals of the visiting customers who actually entered the store for each store, and the behavior pattern and the It is possible to determine whether the customer enters the store by comparing the RSSI value with learning data corresponding to the store.

In addition, the management server sets a reference RSSI value corresponding to the entrance location of the store for each store and uses it when determining whether the customer enters, and the reference RSSI value is the location and entrance of the beacon device in the store. Each store may be set differently according to the distance between locations.

In addition, when determining whether to enter, the management server maintains the reference RSSI value or higher after the RSSI value of the beacon signal exceeds the reference RSSI value, and a behavior pattern corresponding to a preset first type is set. When observed for more than a period of time, the smart order app is automatically executed on the screen of the user terminal by determining as the customer's entry state, and the first type may include at least one of a deceleration movement pattern and a movement stop pattern. .

In addition, when determining whether to enter the management server, after the RSSI value of the beacon signal exceeds the reference RSSI value, the RSSI value decreases again, and the behavior pattern corresponding to the preset second type is greater than the reference time. When observed, it is determined that the customer has passed the entrance of the store, and the smart order app is not executed, and the second type may include at least one of a constant speed movement pattern, an acceleration movement pattern, and a steadily moving pattern without stopping. .

In addition, the management server, when the user terminal is overlapped within the reach of signals of a plurality of beacon devices adjacent to each other and receives a plurality of beacon signals at the same time, the user through the RSSI value of each beacon signal Estimates the location where the terminal is located, and when the estimated location is located in the first store among the plurality of stores, a smart order app is automatically executed on the screen of the user terminal to display the product order page of the first store. And, if it is not located anywhere among the plurality of stores, the smart order app may not be executed.

According to the present invention, a smart order app that supports ordering products in a corresponding store targeting a customer who has entered an actual store based on the customer behavior pattern based on the strength and motion sensing of the beacon signal received at the user terminal is displayed on the screen of the user terminal. Since it can be automatically executed on the store, it is possible to provide a more convenient and reliable smart order service that is linked with store entrance.

In addition, even if the user terminal approaches the store and receives a beacon signal, the smart order app does not run until the customer actually enters the store, so that the order page of the smart order app even to the terminal of the customer who is not currently using the store. It can block problems that are executed indiscriminately or unnecessary, and can relieve customer discomfort.

1 is a diagram showing a smart order system based on store entrance determination according to an embodiment of the present invention.
2 is a view showing a state in which a customer's entrance confirmation and inquiry message is displayed on a screen of a user terminal in an embodiment of the present invention.
3 is a diagram showing a state of learning motion data for visiting customers in a store in an embodiment of the present invention.
4 is a diagram for explaining an operation when beacon signals are simultaneously received from beacon devices in multiple stores in an embodiment of the present invention.

Then, embodiments of the present invention will be described in detail with reference to the accompanying drawings so that those of ordinary skill in the art can easily implement the present invention.

1 is a diagram showing a smart order system based on store entrance determination according to an embodiment of the present invention.

As shown in FIG. 1, a smart order system according to an embodiment of the present invention includes a beacon device 100, a user terminal 200, and a management server 300.

The beacon device 100 is installed for each store and periodically transmits a beacon signal including its own address. Here, the unique address may mean a MAC address.

The beacon device 100 broadcasts a beacon signal, and in the case of the user terminal 200 located within a signal arrival distance (signal arrival range) from the beacon device 100, it is possible to receive and detect a beacon signal. In the case of FIG. 1, it can be seen that the beacon signal is not reached to the user terminal located outside the signal reach range, and the beacon signal is transmitted only to the user terminal 200 located within the signal reach range.

1, when the user terminal 200 approaches within the signal reach of the beacon device 100 and receives the beacon signal, the user terminal 200 activates the smart order app in the background in response to the beacon signal. The RSSI (received signal strength) value of the beacon signal and the motion sensing value over time are measured.

Here, the beacon signal may include information for automatically executing the smart order app, and the user terminal 200 may activate the smart order app in a background environment in response to reception of the beacon signal.

When the app is activated in the background, since the app is internally hidden and driven, the app is not executed through the driving screen of the user terminal 200, so the user does not know the running state of the app.

As shown in Figure 1, the user terminal 200, which has received a beacon signal by approaching a store, analyzes the RSSI value of the beacon signal through a smart order app activated in the background, and moves through the built-in sensors (acceleration sensor, gyro sensor). The sensing value may be measured over time and transmitted to the management server 300 in real time.

The management server 300 may provide a smart order app, which is a service platform implemented as a mobile app, to a user. In this embodiment, a user is a customer who is provided with a smart order service through the mobile app, and may include a user who has subscribed to or not subscribed to the mobile app.

The management server 300 may be connected to the beacon device 100 and the user terminal 200 through a wired/wireless network to transmit and receive mutual information. Hereinafter, a wireless network is mainly exemplified, but a wired/wireless combined network may be used.

In addition, the management server 300 may store and manage information of a plurality of beacon devices 100 and a plurality of user terminals 200. In addition, the management server 300 may distribute or provide an application program for a smart order service, that is, a smart order app to a user.

The management server 300 receives the RSSI value and the motion sensing value of the beacon signal from the user terminal 200 through the smart order app installed in the user terminal 200, and analyzes the customer behavior pattern through the received motion sensing value. .

Then, the management server 300 determines whether the customer enters the store using the analyzed customer's behavior pattern and the RSSI value of the beacon signal, and determines whether to automatically run the smart order app through the screen of the user terminal 200 do.

In particular, the smart order app is not executed at all until it is determined that the customer has entered the store, and the smart order app is executed by controlling the screen of the user terminal 200 as soon as it is determined as the entry state.

That is, the management server 300 waits for execution of the smart order app until it is determined as the customer's entry state, and when it is determined as the entry state, the smart order app is automatically executed on the screen of the user terminal to display the product order page Control to display.

For example, if the store where the customer entered is store 1, the product order page corresponding to store 1, that is, the order page dedicated to store 1, is automatically displayed through the smart order app executed on the screen, and online ordering and Support payment service.

At this time, when the smart order app is executed on the screen of the user terminal 200, it is possible to directly display the product order page for the first store, but it is also possible to obtain a query from the user and display it after approval.

2 is a view showing a state in which a customer's entrance confirmation and inquiry message is displayed on a screen of a user terminal in an embodiment of the present invention.

In the case of the left screen in Fig. 2, a pop-up message is output to show the appearance of confirming the customer's entrance to the store and inquiring about the intention to order. It shows the appearance of providing an orderable menu or product list by moving to, and through this, it is possible to easily order and pay for products in the store.

The management server 300 may build learning data for each store by learning pre-accumulated RSSI values and behavior patterns through user terminals of actually visiting customers who actually enter the store for each store.

In addition, based on this, the management server 300 compares the customer behavior pattern and RSSI value measured from the current user terminal 200 with the previously established learning data corresponding to the current store to determine whether the customer enters the store. can do.

3 is a diagram showing a state of learning motion data for visiting customers in a store in an embodiment of the present invention.

As shown in FIG. 3, the management server 300 collects motion sensing values from the user terminal for visiting customers in the store, learns in advance the behavior pattern for the entering customer, and uses this to determine whether the customer enters the store in the future. I can.

Specifically, as shown in FIG. 3, the management server 300 may collect and learn movement data when the customer passes through the store entrance and when sitting at a table. For example, the speed decreases or stops at the store entrance. You can learn patterns, patterns without movement when sitting at the table.

As described above, the management server 300 may collect and learn a motion sensing value from a user terminal targeting a visiting customer in a store.

In addition, the management server 300 may set a reference RSSI value corresponding to the entrance position of the store for each store and use it when determining whether the customer enters. In this regard, the dotted line boundary of FIG. 1 may mean a signal radius corresponding to a reference RSSI value.

A reference RSSI value may be obtained by measuring the RSSI value of the beacon signal received from the beacon device 100 with a test terminal (a predetermined user terminal) positioned at the entrance of the store for each store. Of course, here, the reference RSSI value may be set differently for each store according to the distance between the location of the beacon device in the store and the location of the entrance.

Hereinafter, a specific example of determining whether to enter a store based on a reference RSSI value and an action pattern set in a store will be described.

When determining whether a customer is admitted, the management server 300 maintains the reference RSSI value or more after the RSSI value of the beacon signal exceeds the reference RSSI value of the store, and the behavior pattern corresponding to the preset first type is set at a set time. If abnormality is observed, the smart order app is automatically executed to determine the customer's position and display the product order page of the corresponding store on the screen of the user terminal 200. Here, the first type may include at least one of a deceleration movement pattern and a movement stop pattern.

For example, in FIG. 1, when a customer with the user terminal 200 approaches the entrance of a store and enters inside the boundary of the reference RSSI value, the RSSI value measured by the user terminal 200 exceeds the reference value, and is completely inside the store. Upon entering, the RSSI value is maintained above the reference RSSI value for a certain period of time.

However, even if the customer is a little pacing at the entrance of the store, the RSSI value remains above the reference RSSI value for a certain period of time, so it is less reliable to determine whether to enter the store using only the reference RSSI value. If the smart order app is called and executed in response to the reception of a beacon signal without considering the user's behavior pattern, unwanted apps may be executed indiscriminately even to customers who have not entered the store.

In the case of this embodiment, after the RSSI value of the beacon signal exceeds the reference RSSI value of the store, while maintaining the reference RSSI value or more, as a result of observing the customer behavior pattern, at least one of the deceleration movement pattern or the movement stop pattern is the set time (e.g. For example, if it is observed for more than 30 seconds, 1 minute, 2 minutes), it is determined that the customer has entered the store.

For example, after the customer enters the store through the entrance of the store, for about 30 seconds to 1 minute, the customer may gradually decelerate to sit at a table or go to ask for a reserved seat. In this case, a deceleration movement pattern that gradually decreases the speed is likely to occur. Of course, when seated at the table, a motion stop pattern occurs without any motion. Therefore, it is possible to determine the customer's position by additionally considering these behavior patterns.

In addition, when determining whether the customer enters, the management server 300 decreases the RSSI value again after the RSSI value of the beacon signal exceeds the reference RSSI value, and the behavior pattern corresponding to the preset second type exceeds the reference time. If observed, it is determined that the customer has passed the entrance of the store, and the smart order app is not executed. Here, the second type may include at least one of a constant speed movement pattern, an acceleration movement pattern, and a pattern that continuously moves without stopping.

For example, in FIG. 1, when a customer with the user terminal 200 passes through the entrance of a store, the RSSI value in the vicinity of the entrance exceeds the reference RSSI value and then decreases again.

However, it is difficult to judge that the RSSI value decreases again even in the case of a momentary pause outside the boundary of the standard RSSI value at the store entrance, and this is a situation in which it moves past the store entrance. In other words, it is difficult to determine that the customer has completely passed the entrance by simply decreasing the RSSI value, so the behavior pattern is additionally observed.

In this embodiment, as the RSSI value of the beacon signal exceeds the reference RSSI value and decreases again, as a result of observing the customer behavior pattern, at least one of a constant speed movement, an accelerated movement, and a steadily moving pattern without a stop is the set time (for example, For example, if it is observed continuously for more than 30 seconds, 1 minute, 2 minutes), it is judged that the customer has simply passed the entrance of the store.

In this case, by preventing the user terminal 200 from running the smart order app, unnecessary app execution is blocked for customers who pass near the store, thereby solving customer discomfort or discomfort due to indiscriminate app execution.

As described above, in the embodiment of the present invention, even if the user terminal approaches the store and receives a beacon signal, the smart order app is not executed before entering the store or when passing through the store. In other words, by preventing the smart order app from running at all until it is determined that the customer has actually entered the store, the problem that the order page of the smart order app is executed indiscriminately or unnecessary to the terminal of the customer who is not currently using the store can be blocked. I can.

On the other hand, in the embodiment of the present invention, the management server 300 is positioned so as to overlap within the signal reach of each of the plurality of in-store beacon devices 100 adjacent to each other and simultaneously receive a plurality of beacon signals, each The point where the user terminal is located is estimated through the RSSI value of the beacon signal.

For example, when RSSI values received from the plurality of beacon devices 100 are compared with data of a previously built wireless map (such as a finger printing map), the current location of the user terminal 200 may be estimated. The wireless map can be constructed by moving the test node by several points and collecting a set of RSSI values of the beacon signal for each point. After comparing a plurality of RSSI values received from an unknown node with data of a wireless map, a point corresponding to the data set having the highest similarity may be estimated as the location of the current node.

At this time, the management server 300 controls to display the product order page of the first store by automatically executing the smart order app on the screen of the user terminal when the estimated point is located in the first store among the plurality of stores, and If it is not located anywhere in the store, the smart order app is not executed.

4 is a diagram for explaining an operation when beacon signals are simultaneously received from beacon devices in multiple stores in an embodiment of the present invention. In the case of FIG. 4, the signal reach distance of the beacon device for each store is shown by a dotted line, and it can be seen that they overlap each other.

First, in the case of the first user terminal 200-1, the signal radii of each beacon device are all overlapped, and in this case, three beacon signals are simultaneously received. At this time, the management server 300 confirms that the current first user terminal 200-1 is located inside the store 2 using the RSSI values of the three beacon signals, and the screen of the first user terminal 200-1 You can control to display the product order page of store 2 by automatically running the smart order app on the screen.

The second user terminal 20-2 is also located in a place where the signal radii of each beacon device are all overlapped, and in this case, it receives three beacon signals simultaneously. However, the management server 300 uses the RSSI values of the three beacon signals to confirm that the second user terminal 200-2 is not located in any store and does not run the smart order app.

As described above, in the case of the embodiment of the present invention, when multiple stores are located adjacent to each other and multiple beacon signals are received at the same time, the actual user terminal location is estimated through the RSSI value of each beacon signal, and the estimated location is located in the store to which the estimated location belongs. You can run the smart order app for automatically.

In addition, since the embodiment of the present invention additionally utilizes the motion sensing value of the user terminal 200 without relying only on the RSSI value of the beacon signal, noise signals due to nearby jammers and distant signals can be removed.

If the beacon device 100 is disposed in the store and the user terminal 200 receives a beacon signal, it is possible to know the extent of the user's presence near the store, but if there is interference from radio signals such as nearby Wi-Fi signals, a constant It is difficult to receive a beacon signal and it is difficult to filter out the noise of the signal.

However, in the case of an embodiment of the present invention, the user's movement is recognized through a sensor of the user terminal 200 that is not affected by the surrounding radio waves, and noise of the RSSI value may be removed through this.

For example, when the RSSI value continuously changes even though the user is still, the changing noise value may be removed based on the motion sensing data. In addition, when the beacon signal is weakly received by the user terminal 200 due to a long distance from the beacon or due to radio wave interference, the RSSI value may be stopped or cut off, but the user is moving through the sensor of the user terminal 200. By recognizing that, the noise value of the RSSI can be removed.

Of course, since the reception sensitivity, intensity, and motion sensing data of RSSI values are different for each user terminal, rather than consistently patterning the user data in the server, the system is driven by collecting data for each user terminal and individually patterning it within the terminal. It is desirable.

According to the present invention as described above, based on the customer behavior pattern based on the strength and motion sensing of the beacon signal received at the user terminal, the user is using a smart order app that supports ordering products in the corresponding store for customers who enter the store. Since it can be automatically executed on the screen of the terminal, it is possible to provide a more convenient and reliable smart order service that is linked with store entrance.

The present invention has been described with reference to the embodiments shown in the drawings, but these are only exemplary, and those of ordinary skill in the art will appreciate that various modifications and equivalent other embodiments are possible therefrom. Therefore, the true technical scope of the present invention should be determined by the technical spirit of the appended claims.

100: beacon device 200: user terminal
300: management server

Claims (7)

In the smart order system based on store entrance determination,
Beacon devices installed for each store and periodically transmitting a beacon signal including a unique address; And
A user terminal that activates a smart order app in the background when the beacon signal is received by approaching within the signal reach of the beacon device and measures and transmits an RSSI value of the beacon signal and a motion sensing value over time; And
A management server that determines whether a customer enters the store using the customer behavior pattern analyzed through the motion sensing value and the RSSI value of the beacon signal, and determines whether to automatically run the smart order app through the screen of the user terminal. Includes,
The management server,
A smart order system that waits for execution of the smart order app until it is determined as the customer's entry state, and when it is determined as the entry state, automatically executes the smart order app on the screen of the user terminal to display the product order page of the corresponding store. The method according to claim 1,
The user terminal,
A smart order system that measures the motion sensing value using an acceleration sensor and a gyro sensor. The method according to claim 1,
The management server,
For each store, the store-specific learning data is constructed by learning the previously accumulated RSSI value and the behavior pattern through the user terminals of the actually visiting customers in the store,
Smart order system for determining whether a customer enters a store by comparing the behavior pattern and the RSSI value with learning data corresponding to the store. The method according to claim 1,
The management server,
A reference RSSI value corresponding to the entrance location of the store is set for each store and used when determining whether the customer enters or not,
The reference RSSI value is,
Smart order system that is set differently for each store according to the distance between the location of the beacon device and the entrance location in the store. The method of claim 4,
When determining whether to enter, when the RSSI value of the beacon signal exceeds the reference RSSI value and maintains the reference RSSI value or more, and a behavior pattern corresponding to a preset first type is observed for longer than a set time, the The smart order app is automatically executed on the screen of the user terminal by determining the position of the customer,
The first type,
Smart order system including at least one of a deceleration movement pattern and a movement stop pattern. The method of claim 4,
The management server,
When determining whether to enter, if the RSSI value of the beacon signal exceeds the reference RSSI value and then the RSSI value decreases again and a behavior pattern corresponding to a preset second type is observed for more than a reference time, the customer It is determined that the store entrance has passed and the smart order app is not executed,
The second type,
A smart order system that includes at least one of a constant speed movement pattern, an acceleration movement pattern, and a steadily moving pattern without stopping. The method according to claim 1,
The management server,
When the user terminal is overlapped within the signal reach distance of each of a plurality of store beacon devices adjacent to each other and receives a plurality of beacon signals simultaneously, the location where the user terminal is located is estimated through the RSSI value of each beacon signal. ,
When the estimated point is located in the first store among the plurality of stores, a smart order app is automatically executed on the screen of the user terminal to control to display the product order page of the first store, and located anywhere among the plurality of stores. If not, the smart order system will not run the smart order app.

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