JP2015005144A - Information providing device, information providing system, information providing method, and information providing program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an information providing device, information providing system, information providing method, and information providing program that accurately estimate the congestion state of a facility.SOLUTION: A terminal information acquisition unit acquires information on radio terminals 200 situated respectively in a plurality of wireless LAN communication areas provided in a plurality of different areas of a shop 100 in a one-by-one manner from access points 103-106 each of which has a plurality of wireless LAN communication areas. A moving state determination unit determines a moving state of the radio terminals 200 in the shop on the basis of the information on the radio terminals 200 acquired from the terminal information acquisition unit. A congestion degree determination unit obtains the degree of influence on the degree of congestion of the shop per radio terminal 200 from the moving state in the shop per radio terminal 200, and determines the degree of congestion in the shop on the basis of the obtained degree of influence. A notification unit gives notice of the degree of congestion obtained by the congestion degree determination unit.

Description

  The present invention relates to an information providing apparatus, an information providing system, an information providing method, and an information providing program.

  Conventionally, when waiting for an order to use a public facility or a commercial facility, for example, a restaurant often waits for an order in a waiting space provided around the store, such as near the entrance of the store. At that time, if the store user can afford to wait for the waiting time as a guideline, the store clerk records the list of store users waiting for the turn on a paper medium such as a notebook, and as soon as the store is ready for use , The store users who are waiting in turn are guided to the store. In addition, a store user who is waiting for the turn and the store clerk can communicate with each other using a communication device such as a small wireless device or a mobile phone, and the communication device is used as soon as the store is ready for use. There is also a store in which the store user is guided into the store.

  In such a facility, there was a case where it was waited for a long time before using the facility because it was crowded when arriving at the site of the facility, or the target facility could not be used. .

  For this reason, there has been a demand for the user to be able to grasp the congestion situation indicating the degree of congestion, such as how crowded the target facility is, without going to the target facility.

  For example, by using the customer management computer in the restaurant, the estimated accounting time for each seat is obtained from the average eating time of the order menu, and the waiting time for each waiting customer is determined based on the estimated accounting time, the seat information, and the waiting information. There has been a conventional technique for calculating and notifying time.

  In addition, there has been a conventional technique that stores store space, detects an object in the store, and places a mark representing the detected object on a diagram representing the store space to notify the congestion situation.

JP 2002-083025 A JP 2007-133847 A

  However, in addition to the technology for calculating the waiting time using the average eating and drinking time as described above and the technology for displaying objects existing in the store space, it is difficult to determine the processing state of the service in the facility. Since it cannot be determined whether the congestion continues for a long time or the congestion is solved immediately, it is difficult to accurately estimate the congestion degree according to the situation.

  The disclosed technology has been made in view of the above, and an object thereof is to provide an information providing apparatus, an information providing system, an information providing method, and an information providing program that accurately estimate the congestion status of a facility.

In one aspect, an information providing apparatus, an information providing system, an information providing method, and an information providing program disclosed in the present application are wireless terminals respectively present in a plurality of wireless LAN communication areas respectively provided in a plurality of different spaces in a facility. Terminal information acquisition unit for acquiring the information from a plurality of wireless LAN access points each having a plurality of wireless LAN communication areas;
Based on the information on the wireless terminal acquired from the terminal information acquisition unit, the movement state determination unit that determines the movement state of the wireless terminal in the facility, and the movement state in the facility for each wireless terminal The degree of influence on the congestion degree of the facility is obtained for each wireless terminal, and the congestion degree determination unit that determines the congestion degree of the facility based on the obtained influence degree, and the congestion degree obtained by the congestion degree determination unit An informing unit for informing.

  According to one aspect of the information providing apparatus, the information providing system, the information providing method, and the information providing program disclosed in the present application, there is an effect that it is possible to accurately estimate the congestion state of the facility.

Drawing 1 is a figure showing a store of a restaurant concerning a 1st embodiment. FIG. 2 is a block diagram of the information providing server according to the first embodiment. FIG. 3 is a diagram of an example of terminal presence data. FIG. 4 is a diagram illustrating an example of the movement pattern table. FIG. 5 is a diagram illustrating an example of the exponent table. FIG. 6 is a diagram illustrating an example of the congestion degree table. FIG. 7 is a flowchart of a congestion degree determination and notification process performed by the information providing apparatus according to the first embodiment. FIG. 8 is a diagram of a table associating access points with areas. FIG. 9 is a block diagram of an information providing server according to the second embodiment. FIG. 10 is a flowchart of the congestion forecast process by the information providing server according to the second embodiment. FIG. 11 is a diagram showing transition of the screen of the congestion degree notification and facility reservation application displayed on the user terminal. FIG. 12 is a diagram illustrating an example of a congestion forecast screen provided in the modification of the second embodiment. FIG. 13 is a hardware configuration diagram illustrating an example of a computer that realizes the function of the information providing server.

Hereinafter, embodiments of an information providing apparatus, an information providing system, an information providing method, and an information providing program disclosed in the present application will be described in detail with reference to the drawings. The information providing apparatus, the information providing system, the information providing method, and the information providing program disclosed in the present application are not limited by the following embodiments.
[First Embodiment]

[System Overview]
The information providing system according to the present embodiment determines and notifies the congestion situation in a facility such as a store. First, a store that is a determination target of the congestion situation will be described with reference to FIG. Drawing 1 is a figure showing a store of a restaurant concerning a 1st embodiment.

(About stores)
The store 100 has three areas: a floor 101, a kitchen 102, and a cash register 103. The employee P is an employee of the store 100 that is a restaurant. In the present embodiment, a case where there are a plurality of employees P will be described. The floor 101 is an example of a “meal area”. The kitchen 102 is an example of a “kitchen area”. Furthermore, an area combining the floor 101 and the kitchen 102 is an example of a “service providing area”. The cash register 103 corresponds to an example of “accounting area” and “reception area”.

  The floor 101 is a space for providing food to customers. The kitchen 102 is a space for preparing food to be provided to customers. The cash register 103 is a space for accepting accounts, entering a store, and waiting for a turn.

  The access points 104 to 106 are access points related to wireless LAN communication represented by WiFi (Wireless Fidelity). Below, the structure of the access points 104-106 is demonstrated concretely. Here, the access point 104 will be described as an example. As illustrated in FIG. 1, the access point 104 includes a wireless LAN communication unit 20, a communication unit 21, and a control unit 22.

  The wireless LAN communication unit 20 is installed such that a region including a target location is the communication area. The wireless LAN communication unit 20 is a communication interface that performs wireless LAN communication, and transmits / receives information to / from the wireless terminal 200 equipped with a wireless LAN communication function using a wireless signal. Note that the wireless LAN includes, for example, a wireless LAN defined by IEEE 802.11, but is not limited to such a wireless LAN.

  The communication unit 21 is connected to a communication network and transmits / receives information to / from the communication network side device via the communication network. The communication unit 21 connects to the communication network by wire or wireless. The communication network side device is, for example, the information providing server 1 or a web server (not shown).

  The control unit 22 includes a relay unit 25 that performs information relay processing and a detection unit 26 that performs detection processing of the wireless terminal 200.

  For example, the relay unit 25 transmits information acquired from the wireless terminal 200 via the wireless LAN communication unit 20 from the communication unit 21 to the communication network side device, and also acquired from the communication network side device via the communication unit 21. Information is transmitted from the wireless LAN communication unit 20 to the wireless terminal 200.

  The detection unit 26 detects the presence of the wireless terminal 200 by acquiring the wireless packet transmitted from the wireless terminal 200 via the wireless LAN communication unit 20. For example, when a wireless packet called a probe request is periodically transmitted from the wireless terminal 200 by broadcast or the like, the detection unit 26 acquires the wireless packet via the wireless LAN communication unit 20, so that the wireless terminal 200 Detect presence.

  For example, when the detection unit 26 determines that the wireless terminal 200 has been detected, the detection unit 26 transmits detection information including the terminal information of the wireless terminal 200 from the communication unit 21 to the information providing server 1. The detection information includes the terminal ID of the wireless terminal 200, information on the radio field intensity, and identification information on the access point 104. The terminal ID of the wireless terminal 200 is, for example, the MAC address of the wireless LAN communication unit of the wireless terminal 200, and is added to the wireless packet and transmitted from the wireless terminal 200. The radio wave intensity is the radio wave intensity of a radio signal received by the access point 104. The radio wave intensity may be a radio wave reception intensity (RSSI: Received Signal Strength Indication) acquired in the radio terminal 200. In this case, a radio signal including radio wave intensity information is transmitted from the radio terminal 200 to the access point 104.

  Access point 104 is located on floor 101. The communication range of the access point 104 is specified within the area of the floor 101.

  The access point 105 is arranged in the kitchen 102. More specifically, the access point 105 is arranged in the vicinity of a place where the kitchen 102 delivers dishes and dishes. The communication range of the access point 105 is specified in the area of the kitchen 102.

  The access point 106 is disposed in the cash register 103. More specifically, the access point 106 is arranged in the vicinity of the accounting register placed in the cash register 103. The communication range of the access point 106 is specified in the area of the cash register 103.

(About setting the communication range of the access point)
Here, an example of a method for specifying the communication range of the access points 104 to 106 will be described using the access point 104 as an example. For example, it is conceivable that the communication range is set in association with the radio wave intensity when the wireless signal transmitted from the wireless terminal 200 is received so that the access point 104 recognizes the floor 101 as a communicable area. In other words, the access point 104 is made to recognize a range where communication can be performed with a radio wave intensity equal to or higher than the radio wave intensity when the wireless terminal 200 is present at the end of the floor 101 as a communicable area.

  As another example, the communication range of each access point can be determined in the floor 101 by presetting the radio field intensity of the radio signal transmitted by the access point 104.

  Here, the access point 104 has been described as an example. However, by setting the access points 105 and 106 in the same manner, each communication range can be specified as a desired range.

  Furthermore, in this embodiment, the case where one area is set for each of the access points 104 to 106 has been described. However, the present invention is not limited to this, and one area is configured by the communication range of a plurality of access points. Also good. For example, an area where the communication ranges of the access points 104 and 105 are combined, that is, one area called a service providing area may be set by combining the floor 101 and the kitchen 102.

  Even when the floor 101 is wider than the communication area of the access point 104, the information providing server according to the present embodiment can operate by recognizing the communication range of the access point 104 as the floor 101.

  Each employee P has a wireless terminal 200 that communicates with the information providing server 1 that is an information providing apparatus by connecting to any of the access points 104 to 106. Specifically, the wireless terminal 200 connects to the access point 104 when in the area of the floor 101. When the wireless terminal 200 is in the area of the kitchen 102, the wireless terminal 200 connects to the access point 105. When the wireless terminal 200 is in the cash register 103 area, the wireless terminal 200 connects to the access point 106. For example, the presence of the wireless terminal 200 in the communication area of the access point 104 means that the wireless terminal 200 is “located” in the communication area of the access point 104.

  Furthermore, the radio field intensity of the radio signal transmitted from the wireless terminal 200 received by the access points 104 to 106 increases as the wireless terminal 200 approaches each of the access points 104 to 106.

(About employee movement)
Next, typical operations of the employee P will be described as the employee P moves. A broken-line arrow connecting the floor 101 and the cash register 103 in FIG. 1 represents the movement of the employee P between the floor 101 and the cash register 103. Employee P moves from the floor 101 to the cash register 103 when the customer visits the floor 101. Then, the employee P receives a store entry at the cash register 103 and moves to the floor 101 from the cash register 103 and guides the customer to the floor 101 when a seat is available. If the seat is not available, the employee P tells the customer to wait for the turn and waits for the seat to be available. Further, when the employee P accounts for the customer when he / she is on the floor 101, the employee P moves from the floor 101 to the cash register 103 to perform the accounting.

  A broken-line arrow connecting the floor 101 and the kitchen 102 in FIG. 1 represents the movement of the employee P between the floor 101 and the kitchen 102. When the employee P is on the floor 101 and cooks, the employee P moves from the floor 101 to the kitchen 102 and takes the food. Thereafter, the employee P takes the food and moves from the kitchen 102 to the floor 101 to carry the food. In addition, when the customer's meal ends, the employee P moves from the floor 101 to the kitchen 102 with tableware and cleans up the table.

  A broken-line arrow connecting the kitchen 102 and the cash register 103 in FIG. 1 represents the movement of the employee P between the kitchen 102 and the cash register 103. The employee P moves from the kitchen 102 to the cash register 103 when the customer visits the store while in the kitchen 102. Further, when the employee P accounts for the customer while in the kitchen 102, the employee P moves from the kitchen 102 to the cash register 103 and performs accounting. Further, when the employee P can cook while at the cash register 103, the employee P moves from the cash register 103 to the kitchen 102 to go to cook.

  In particular, since employee P uses a cash register at the time of payment, the employee P is close to the access point 106, but is not close to the access point 106 in the case of store visit reception. Therefore, when the radio wave strength between the wireless terminal 200 and the access point 106 becomes large, the employee P is considered to be accounting.

  The employee P is close to the access point 105 at the time of delivery of dishes and dishes. In this case, it is considered that employee P still accounts for it.

  And the access points 104-106 are connected to the information provision server 1 which is an information provision apparatus. However, in FIG. 1, the connection with the information providing server 1 is represented by the access point 105 as a representative. The access information of the wireless terminal 200 acquired by the access points 104 to 106 is sent to the information providing server 1.

(Information providing server)
The information providing server 1 determines the degree of congestion using the approach information of the wireless terminal 200. For example, the information providing server 1 acquires a movement source access point and a movement destination access point of the wireless terminal 200 from the proximity information of the wireless terminal 200. Next, the information providing server 1 identifies which of the predetermined movement patterns the acquired movement destination and movement source access point correspond to.

  Next, the information providing server 1 obtains the degree of influence of the movement on the degree of congestion from the identified movement pattern. Specifically, the information providing server 1 obtains an index increase / decrease value for determining the degree of congestion corresponding to the movement pattern. Here, the index for determining the degree of congestion is, for example, a movement index that represents the frequency of movement of the employee P, an accounting index that is a value that represents the frequency of accounting, and the employee P is a customer other than the accounting. It is a customer service index that is a value representing the frequency of going. And the information provision server 1 calculates | requires each index | exponent per unit time from the increase / decrease value of each index | exponent by movement.

  And the information provision server 1 determines the present congestion degree using each calculated | required index | exponent. For example, the information providing server 1 determines the size of each index based on whether each index exceeds or does not exceed the threshold set for each index, and acquires the degree of congestion corresponding to the combination of the determination results. Then, the information providing server 1 determines that the acquired congestion level is the current congestion level.

  Thereby, the information providing server 1 can determine the congestion status of the store 100 from the actual movement state of the employee who owns the wireless terminal 200, and can perform the congestion degree determination with high accuracy.

  Then, the information providing server 1 transmits the determined degree of congestion to the user terminal 300 via the communication network. The user refers to information on the degree of congestion displayed on the user terminal 300 and uses it as a material for determining whether or not to reserve the store 100.

  That is, the user can use the result of the congestion degree determination with high accuracy. Thus, the information providing system according to the present embodiment can contribute to appropriate facility selection by the facility user.

[Configuration of information providing server]
Next, an information providing server 1 that is an information providing apparatus according to the present embodiment will be described with reference to FIG. FIG. 2 is a block diagram of the information providing server according to the first embodiment.

  The information providing server 1 includes a reception unit 10, a terminal information acquisition unit 11, a movement state determination unit 12, a storage unit 13, a congestion degree determination unit 14, and a notification unit 15.

  The receiving unit 10 is connected to the access points 104 to 106 via a communication network. Hereinafter, when the access points 104 to 106 are not distinguished from each other, they are simply referred to as “access points 110”.

  The receiving unit 10 receives notification of identification information and radio wave intensity of the connected wireless terminal 200 from the access point 110 connected to the wireless terminal 200.

  The receiving unit 10 outputs the identification information of the wireless terminal 200, the identification information of the access point 110 to which the wireless terminal 200 is connected, and the radio wave intensity to the terminal information acquisition unit 11.

(About information stored in the storage unit 13)
In the storage unit 13, as shown in FIG. 3, for each access point 104 to 106, a check-in time that is a time when each wireless terminal 200 enters the communication area and a check-out time that leaves the communication area. Terminal existence data 131 representing the time is stored. The terminal presence data 131 also stores the radio wave intensity for each terminal ID. FIG. 3 is a diagram of an example of terminal presence data.

  Further, the storage unit 13 stores a movement pattern table 132 that represents a movement pattern in which the movement source, the movement destination, and the radio wave intensity are combined as shown in FIG. FIG. 4 is a diagram illustrating an example of the movement pattern table. In FIG. 4, a group that does not indicate radio wave intensity represents radio wave intensity other than when the radio wave intensity is high. The movement pattern is classified by movement that distinguishes whether or not the access points 105 and 106 are approaching to a position where the radio wave intensity is high, in addition to movement from one access point to another access point. For example, the movement pattern table 132 registers movement from the access point 106 to the access point 104, movement from the access point 104 to a position where the radio wave intensity of the access point 106 is high, and the like.

  Further, the storage unit 13 stores an index table 133 that represents the increase / decrease values of the accounting index and the customer service index corresponding to each movement pattern as shown in FIG. FIG. 5 is a diagram illustrating an example of the exponent table. Here, the accounting index is a value representing the degree of accounting.

  In addition, the storage unit 13 stores a congestion degree table indicating the congestion degree for each hour as shown in FIG. FIG. 6 is a diagram illustrating an example of the congestion degree table. Although the congestion degree table 134 describes the state from 12: 00 to 13: 59, the period for determining the congestion degree may be any period in the day.

  The terminal information acquisition unit 11 receives input of identification information of the wireless terminal 200, identification information of the access point 110 to which the wireless terminal 200 is connected, and radio wave intensity from the reception unit 10. Then, when the wireless terminal 200 enters the communication area of the access point 110, the terminal information acquisition unit 11 displays the identification information and check-in time of the wireless terminal 200 in the corresponding access point 110 of the terminal presence data 131 in the storage unit 13. Register in the column.

  The movement state determination unit 12 monitors the terminal presence data 131. Then, the wireless terminal 200 acquires from the terminal presence data 131 that the wireless terminal 200 has left the area of the access point 110 where the wireless terminal 200 is located and has moved to the communication area of the other access point 110.

  In this case, the movement state determination unit 12 determines that the wireless terminal 200 has moved from the previously connected access point 110 to the currently connected access point 110. Then, the movement state determination unit 12 outputs identification information of the movement source and movement destination access points 110 of the wireless terminal 200 to the congestion degree determination unit 14.

  Furthermore, the movement state determination unit 12 determines whether or not the radio field strength between the wireless terminal 200 and the currently connected access point 110 is greater than a threshold, using the radio field strength information in the terminal presence data 131. When the radio wave intensity is larger than the threshold value, the moving state determination unit 12 outputs a notification that the radio wave intensity is high to the congestion level determination unit 14.

(Congestion degree determination unit 14)
The congestion degree determination unit 14 includes a unit movement amount acquisition unit 141, an action pattern determination unit 142, an influence degree calculation unit 143, and a determination unit 144.

  The unit movement amount acquisition unit 141 receives the identification information of the movement source and movement destination access points 110 of the wireless terminal 200 from the movement state determination unit 12. Furthermore, when the radio field strength between the wireless terminal 200 and the destination access point 110 is high, the unit movement amount acquisition unit 141 receives a notification of the high radio field intensity from the movement state determination unit 12.

  Next, the unit movement amount acquisition unit 141 uses the movement pattern table in which the movement of the wireless terminal 200 is stored in the storage unit 13 based on the information on the movement source and destination access points 110 of the wireless terminal 200 and the information on the radio wave intensity. It is determined which of 132 matches.

  The unit movement amount acquisition unit 141 has a counter that counts the number of movements. When the movement of the wireless terminal 200 matches any of the movement patterns, the counter is incremented by one. Then, the unit movement amount acquisition unit 141 counts the number of movements within the unit time. Here, the unit time is a time used as a reference for determining the degree of congestion, and is preferably set according to the operation for determining the degree of congestion. In this embodiment, for example, the unit time is 29 minutes. That is, the unit movement amount acquisition unit 141 obtains the number of movements that have occurred within 29 minutes from a certain timing. The number of times of movement corresponds to an example of “amount of movement”.

  Then, the unit movement amount acquisition unit 141 outputs the obtained number of movements to the influence degree calculation unit 143.

  Similar to the unit movement amount acquisition unit 141, the behavior pattern determination unit 142 determines which of the movement pattern tables 132 stored in the storage unit 13 matches the movement of the wireless terminal 200. Here, the behavior pattern determination unit 142 may acquire information on which movement pattern the movement of the wireless terminal 200 matches from the unit movement amount acquisition unit 141. Then, the behavior pattern determination unit 142 acquires information on the movement pattern of the wireless terminal 200 from the movement pattern table 132. The behavior pattern determination unit 142 acquires the customer service index and the increase / decrease of the accounting index according to the acquired movement pattern from the index table 133.

(About the index table)
Here, the relationship between each movement pattern in the index table 133 and the increase / decrease in the index will be described. When an employee goes to the cash register, it is considered that the employee is accounting. That is, in the case of patterns A-3 and C-3, which are movement patterns when the wireless terminal 200 approaches the access point 106 and the radio field intensity is high, it is considered that the employee is accounting. Therefore, the index table 133 is set to increase the accounting index for patterns A-3 and C-3.

  In addition, if an employee goes to the kitchen, it is considered that the employee is serving food, so the probability of the employee accounting is low. That is, in the case of patterns B-3 and C-4, which are movement patterns when the wireless terminal 200 approaches the access point 105 and the radio field intensity is high, it is considered that accounting is performed first. Therefore, the index table 133 is set to reduce the accounting index in the case of the patterns B-3 and C-4.

  Further, when the employee is not going to the cash register or the kitchen, the employee is considered to be serving customers other than accounting and cooking. Therefore, the index table 133 is set to increase the customer service index in patterns other than the patterns A-3, B-3, C-3, and C-4. Accounting, customer service, etc. are examples of “behavioral patterns”.

  Returning to FIG. 2, the description will be continued. The behavior pattern determination unit 142 outputs the acquired increase / decrease in the customer service index and the accounting index to the influence degree calculation unit 143.

  The influence degree calculation unit 143 obtains a movement index, a customer service index, and an accounting index per unit time for each wireless terminal 200. Below, the process of the influence degree calculating part 143 is demonstrated in detail.

  The influence degree calculation unit 143 acquires the number of movements per unit time from the unit movement amount acquisition unit 141. Then, the influence degree calculation unit 143 obtains the movement index per unit time by adding the increment of the movement index due to one movement to the acquired number of movements per unit time. That is, the movement index increases as the movement occurs.

  In addition, the influence degree calculation unit 143 receives an increase / decrease in the customer service index and the accounting index from the behavior pattern determination unit 142 every time movement occurs. Then, the influence degree calculation unit 143 adds the increase / decrease of each index due to the movement pattern acquired within the determined unit time to the value of the account index and the service index, thereby calculating the account index and the service index per unit time. Ask. In other words, the influence degree calculation unit 143 sets the result of increase / decrease of each index due to movement occurring within 29 minutes from a certain timing as the customer service index and accounting index in the unit time.

  Further, the influence degree calculation unit 143 stores the movement index, the customer service index, and the accounting index per unit time in the storage unit 13 for each wireless terminal 200 using the congestion degree table 134 as illustrated in FIG. 6.

  In the congestion degree table 134 according to the present embodiment, information on the clerk corresponding to each wireless terminal 200 is also registered. For example, the congestion degree determination unit 14 stores information on store clerk corresponding to each wireless terminal 200 in advance, and registers the store clerk information and identification information of the wireless terminal 200 in association with the congestion degree table 134.

  The determination unit 144 determines the degree of congestion using the movement index, customer service index, and accounting index of each wireless terminal 200 per unit time registered in the congestion degree table 134.

(About each index)
Here, the movement index, accounting index, and customer service index will be described. A high mobility index means a lot of employee mobility. A large number of employee movements is considered to be a lot of employee work, that is, many customers. That is, if the movement index is high, the degree of congestion is considered high. Conversely, if the mobility index is low, the degree of congestion is considered low.

  In addition, the high accounting index suggests that employees are accounting frequently. In other words, if the accounting index is high, there are many customers who have made accounting. In other words, it is thought that there are many customers who have returned and the number of customers is decreasing. In other words, the higher the accounting index, the lower the congestion level. On the other hand, if the accounting index is low, the congestion level will not decrease, and if more customers enter, the congestion level will increase.

  In addition, the high customer service index suggests that many customers are employees with whom services are provided. That is, if the customer service index is high, the degree of congestion is considered high. Conversely, if the customer service index is low, the degree of congestion is considered low.

  The determination unit 144 determines the current congestion degree from each index per unit using the relationship between the movement index, the accounting index, the customer service index, and the congestion degree. Hereinafter, an example of determination of the degree of congestion by the determination unit 144 according to the present embodiment will be described.

  The determination unit 144 stores a first movement threshold and a second movement threshold larger than the first movement threshold as the movement index threshold. The determination unit 144 stores a first customer service threshold and a second customer service threshold larger than the first customer service threshold as the customer service index threshold. Further, the determination unit 144 stores an accounting threshold value of the accounting index. Each threshold can be determined by statistically grasping the upper limit of each index and by the ratio to the upper limit. For example, if the upper limit of the movement index is 100, the first movement threshold is set to 50, the second movement threshold is set to 70, and the like.

  Then, the determination unit 144 obtains the total per unit time of each index corresponding to each wireless terminal 200. Then, the determination unit 144 compares the calculated total of each index per unit time with a threshold value. Here, the determination unit 144 stores in advance a degree of congestion value corresponding to the relationship between the sum of each index and the threshold value. And the determination part 144 acquires the congestion degree corresponding to a comparison result, and determines with the congestion degree which acquired the congestion degree of the present shop 100 now. Hereinafter, an example of determination of the degree of congestion by the determination unit 144 will be described. In the present embodiment, the determination unit 144 evaluates the degree of congestion on a five-point scale, with the degree of congestion 1 being the most crowded and the degree of congestion 5 being the most crowded.

  For example, if the movement index is lower than the first movement threshold, the customer service index is lower than the first customer service threshold, and the accounting index is lower than the accounting threshold, it is estimated that there are few customers in the store 100. Therefore, the determination unit 144 determines that the degree of congestion is 2.

  In addition, if the movement index is higher than the first movement threshold, the customer service index is higher than the first customer service threshold, and the accounting index is higher than the accounting threshold, the movement index and the customer service index are high, so there are many customers in the store 100 to some extent. However, since the accounting index is high, the rotation of the store 100 is estimated to be high. Therefore, the determination unit 144 determines that the degree of congestion is 3.

  Further, if the movement index is higher than the second movement threshold, the customer service index is higher than the second customer reception threshold, and the accounting index is higher than the accounting threshold, the movement index and the customer reception index are high, so the customer at the store 100 is very much. Although it is estimated that there are many, since the accounting index is high, the rotation of the store 100 is estimated to be high. Therefore, the determination unit 144 determines that the degree of congestion is 4.

  In addition, if the movement index is higher than the second movement threshold, the customer service index is higher than the second customer service threshold, and the accounting index is lower than the accounting threshold, the movement index and the customer service index are high, so the customer is very much at the store 100. It is estimated that there are many, and since the accounting index is low, the rotation of the store 100 is also estimated to be low. Therefore, the determination unit 144 determines that the degree of congestion is 5.

  Here, in this embodiment, the degree of congestion is evaluated in five stages, but the evaluation stage may be finer or coarser. For example, when evaluating the degree of congestion at a finer level, it is preferable to set the threshold value of each index more finely.

  In the present embodiment, the determination unit 144 evaluates the degree of congestion using the sum of the indices of the wireless terminals 200, but the evaluation method is not limited to this. For example, the determination unit 144 may obtain the degree of congestion of the store 100 by evaluating the degree of congestion for each wireless terminal 200 and calculating the average of the obtained degree of congestion.

  Thereafter, the determination unit 144 registers the determined congestion level in the column of the congestion level in the corresponding unit time of the congestion level table 134. Further, the determination unit 144 outputs the obtained current congestion degree to the notification unit 15.

  The notification unit 15 receives the current congestion level input from the congestion level determination unit 14. And the alerting | reporting part 15 alert | reports the present congestion degree to the user terminal 300 via a communication network.

  The user terminal 300 is a terminal such as a mobile phone or a smartphone possessed by a user who intends to use the store 100. In response to an instruction from the user, the user terminal 300 acquires the current congestion level notified by the notification unit 15 of the information providing server 1. Then, the user terminal 300 notifies the user of the congestion level of the store 100 by displaying the acquired congestion level on the screen. The user confirms the notification of the degree of congestion and uses it as a material for determining whether or not to use the store 100.

[Determination of congestion level and notification procedure]
Next, with reference to FIG. 7, the flow of congestion determination and notification processing by the information providing server 1 which is the information providing apparatus according to the present embodiment will be described. FIG. 7 is a flowchart of a congestion degree determination and notification process performed by the information providing apparatus according to the first embodiment.

  The receiving unit 10 receives the position of the wireless terminal 200 from the access point 110. Then, the reception unit 10 transmits the received position of the wireless terminal 200 to the movement state determination unit 12. The movement state determination unit 12 detects movement from the stored position of the previous wireless terminal 200 and the current position (step S1). Next, the movement state determination unit 12 determines the movement source and movement destination access points 110 of the wireless terminal 200. Thereafter, the movement state determination unit 12 transmits information on the access point 110 of the movement source and movement destination of the wireless terminal 200 to the terminal information acquisition unit 11. The terminal information acquisition unit 11 registers the check-in time and check-out time information of the wireless terminal 200 with respect to the access point 110 in the terminal presence data 131.

  The unit movement amount acquisition unit 141 and the behavior pattern determination unit 142 acquire information about the movement source and movement destination access points 110 of the wireless terminal 200 from the terminal presence data 131. Then, the unit movement amount acquisition unit 141 and the behavior pattern determination unit 142 acquire the movement patterns corresponding to the received movement source and movement destination access points 110 from the movement pattern table 132 stored in the storage unit 13. Next, the behavior pattern determination unit 142 acquires the increase / decrease of each index according to the acquired movement pattern from the index table 133 stored in the storage unit 13. Then, the degree-of-influence calculation unit 143 receives the increase / decrease of each index from the behavior pattern determination unit 142, and corrects each index corresponding to the wireless terminal 200 in the congestion degree table 134 stored in the storage unit 13 (step) S2).

  Thereafter, the influence degree calculation unit 143 determines whether or not a certain period corresponding to a unit time has elapsed (step S3). If the certain period has not elapsed (No at Step S3), the information providing server 1 returns to Step S1.

  On the other hand, when a certain period of time has elapsed (step S3: affirmative), the influence degree calculation unit 143 determines the current congestion degree using each index registered in the congestion degree table 134 (step S4). . Then, the influence degree calculation unit 143 writes the determination result in the congestion degree table 134 and outputs the determination result to the notification unit 15.

  The notification unit 15 acquires the current congestion level from the congestion level determination unit 14. And the alerting | reporting part 15 alert | reports the acquired present congestion degree to the user terminal 300 via a communication network (step S5).

[Effects of the information providing apparatus according to the first embodiment]
As described above, the information providing apparatus according to the present embodiment detects the movement of the employee in the facility, obtains the movement index, the accounting index, and the customer service index based on the detected movement, and calculates each index obtained. Is used to determine the current congestion level, and the determined current congestion level is provided. By estimating the degree of congestion according to the actual history of employee movement, the information providing apparatus according to the present embodiment can accurately estimate the real-time congestion status. That is, according to the information providing apparatus according to the present embodiment, it is possible to provide an accurate congestion situation of the facility.

[Modification of First Embodiment]
In the first embodiment, the movement pattern is determined based on the movement between the access points 110 using the movement pattern table 132. However, the movement pattern determination method is not limited to this.

  For example, the table 135 as shown in FIG. 8 that associates the ID of the access point 110 and the information of each area, and the table that associates the movement between terminals and the behavior pattern in place of the movement pattern table 132 in FIG. The movement pattern may be specified using these two tables. FIG. 8 is a diagram of a table associating access points and areas. A specific example will be described below.

  By dividing the table in this way, convenience can be increased. For example, when there is a table in which movement between spaces and an action pattern are associated, it is only necessary to add the table 135.

In the table 135, one area corresponds to each of the access points 104 to 106. However, the present invention is not limited to this, and one area may correspond to a plurality of access points. For example, as an area corresponding to the access points 104 and 105, one area called a service providing area may be associated.
[Second Embodiment]

  Next, a second embodiment will be described. The information providing apparatus according to the present embodiment is different from the first embodiment in that a change in the degree of congestion after the present time is estimated and a congestion forecast is performed. The congestion forecast is a function for notifying the degree of congestion at a certain timing after the present time. FIG. 9 is a block diagram of an information providing apparatus according to the second embodiment. The information providing apparatus according to the first embodiment is obtained by adding an estimation unit 145 to the information providing apparatus according to the first embodiment. In the following description, description of each part having the same function as that of the first embodiment is omitted.

[About congestion forecast]
In this embodiment, the congestion degree determination unit 14 stores a movement index increase threshold and a decrease threshold, a service index increase threshold and a decrease threshold, and an accounting index increase threshold and a decrease threshold. Yes. In addition, the congestion degree determination unit 14 stores in advance how many previous unit times from the present time are used to estimate transition of the congestion degree.

  The influence degree calculation unit 143 determines the current congestion degree as in the first embodiment. Then, the congestion degree determination unit 14 registers the determined congestion degree in the congestion degree table 134.

  Next, the estimation unit 145 acquires the movement index change from the present to a predetermined period before. Then, the estimation unit 145 determines that the movement index tends to increase when the increase in movement index exceeds a predetermined threshold. In addition, when the decrease in the movement index exceeds a predetermined threshold, the estimation unit 145 determines that the movement index tends to decrease. In addition, the estimation unit 145 determines that the movement index is stable when the fluctuation of the movement index increases or decreases within a threshold value.

  Moreover, the estimation part 145 acquires the fluctuation | variation of the customer service index from the present to before the predetermined period. Then, when the increase in the customer service index exceeds a predetermined threshold, the estimation unit 145 determines that the customer service index has an increasing tendency. In addition, when the decrease in the customer service index exceeds a predetermined threshold, the estimation unit 145 determines that the customer service index is in a decreasing trend. Moreover, the estimation part 145 will determine with the customer service index being stable, if the fluctuation | variation of the increase / decrease in the customer service index is within a threshold value.

  Next, the estimation unit 1454 acquires a change in the accounting index from the present to a predetermined period before. Then, when the increase in the accounting index exceeds a predetermined threshold, the estimation unit 1454 determines that the accounting index has a tendency to increase. In addition, when the decrease in the accounting index exceeds a predetermined threshold, the estimation unit 145 determines that the accounting index is in a decreasing trend. Further, the estimation unit 145 determines that the accounting index is stable if the change in the accounting index increases or decreases within a threshold.

  Here, the estimation part 145 has memorize | stored beforehand the tendency of the change of the congestion degree corresponding to the transition of each index | exponent. And the estimation part 145 acquires the tendency of the change of the congestion degree corresponding to the calculated | required transition of each index | exponent. And the estimation part 145 calculates | requires the change of the congestion degree after the predetermined time from the present time in consideration of the tendency of the change acquired to the present state. Thereafter, the estimation unit 145 outputs the change in the degree of congestion from the obtained current time to a predetermined time later to the notification unit 15.

(Regarding the tendency of change in congestion corresponding to changes in each index)
Here, the acquisition of the tendency of change in the degree of congestion corresponding to the transition of each index by the estimation unit 145 will be specifically described. If the movement index and customer service index are on an increasing trend, and the accounting index is on a stable trend, the number of employees moving and serving customers is increasing, so the number of customers is increasing, and accounting is not much Since it is not done, few customers leave. Therefore, the congestion degree determination unit 14 determines that the congestion degree is increasing.

  Moreover, when the movement index and the accounting index are increasing and the customer service index is decreasing, the movement is increasing, but the accounting is frequently performed and the frequency of customer reception is decreasing. Therefore, the estimation unit 145 determines that the degree of congestion is decreasing.

  Also, if the mobile index is stable, the customer service index is increasing, and the accounting index is decreasing, the mobile index is stable, so the number of customers is not increasing, but the customer service is increasing. There are many responses to customers who are already there, and there are not many customers who return because there is not much accounting. Therefore, the estimation unit 145 determines that the degree of congestion is stable in a large state.

  In addition, when the movement index and customer service index are on a downward trend, and the accounting index is stable, the number of customers is small because the movement and customer service are decreasing, and the number of customers who are not doing much accounting and few return. Therefore, the estimation unit 145 determines that the congestion degree is small and stable.

  In the specific example described above, the determination by the congestion degree determination unit 14 according to the increase / decrease of each index is described. However, in reality, the estimation unit 145 indicates the tendency of the congestion degree corresponding to the combination of increase / decrease of each index. It is stored in advance, and the tendency of the degree of congestion is determined based on the stored information.

  The notification unit 15 receives an input of a change in the degree of congestion from the current time until a predetermined time later from the estimation unit 145. And the alerting | reporting part 15 performs the congestion forecast after the present time by notifying the change of the congestion degree from the present time to after the predetermined time to the user terminal 300 via a communication network.

[Processing procedure of congestion forecast]
Next, with reference to FIG. 10, the flow of the congestion forecast process by the information providing server 1 which is the information providing apparatus according to the present embodiment will be described. FIG. 10 is a flowchart of the congestion forecast process by the information providing server according to the second embodiment.

  The influence degree calculation unit 143 registers information of each index in the congestion degree table 134 and stores each index per unit in the storage unit 13 (step S11).

  Next, the estimation unit 145 acquires the increase / decrease of each index from the present to a predetermined period before (step S12).

  And the estimation part 145 acquires the tendency of the change of the congestion degree in the present time from the increase / decrease in each index | exponent (step S13). Then, the estimation unit 145 obtains a change in the degree of congestion from the present time until a predetermined time later, and notifies the notification unit 15 of the change.

  The notification unit 15 acquires a change in the congestion level from the current time until a predetermined time later from the congestion level determination unit 14. And the alerting | reporting part 15 performs the congestion forecast after the present time by notifying the change of the congestion degree after the predetermined time from the present time (step S14).

[Display example of information provision]
Furthermore, with reference to FIG. 9, the specific example of the notification of the congestion degree and congestion forecast by the information provision server 1 which is the information provision apparatus which concerns on this embodiment is demonstrated. FIG. 11 is a diagram showing transition of the screen of the congestion degree notification and facility reservation application displayed on the user terminal.

  When the user searches for a store to be visited using the user terminal 300, a store search screen 301 is displayed on the display unit of the user terminal 300.

  On the screen 301, a store image 311, a store name 312, a reservation button 313, and a congestion level display 314 are displayed. The store image 311 and the store name 312 are examples of store information, and other information may be used as long as the store can be identified.

  In FIG. 11, the congestion level display 314 displays only whether the congestion level is crowded or free. For example, when the congestion level determined by the congestion level determination unit 14 is 4 or more, the application displays “crowded” on the congestion level display 314 to indicate that the application is crowded. Further, when the congestion level determined by the congestion level determination unit 14 is 3 or less, the application displays “empty” on the congestion level display 314 to indicate that there is a space.

  When the user decides to make a reservation while the screen 301 is displayed, the user presses the reservation button 313. In that case, the display on the display unit of the user terminal 300 transitions to the screen 303. Further, when the user wants to know the congestion forecast, the user presses the congestion level display 314. In that case, the display on the display unit of the user terminal 300 transitions to the screen 302.

  A screen 302 is a congestion forecast display screen. On the screen 302, a congestion forecast 321 and a reservation button 322 are displayed. In the present embodiment, the congestion forecast 321 represents the transition of the congestion level from the present time to 60 minutes later. The congestion forecast 321 indicates that the darker the color, the more crowded, and the lighter the color, the darker the color. The user uses this for determining whether or not to reserve this congestion forecast 321. If the user decides to make a reservation, the user presses the reservation button 322. In that case, the display on the display unit of the user terminal 300 transitions to the screen 303.

  A screen 303 is a seat reservation screen. The screen 303 displays a reservation time registration field 331, a reservation number registration field 332, and a reservation button 333.

  The user registers the reservation time in the reservation time registration column 331 and registers the number of reservations in the reservation number registration column 332. Thereafter, the user presses the reservation button 333 to complete the reservation.

  Here, the transition of the screen when the congestion forecast is performed has been described. However, even if the congestion forecast is not performed as in the first embodiment, for example, the application uses the screen 301 and the screen 303. Can provide information to users.

[Effects of Information Providing Device According to Second Embodiment]
As described above, the information providing apparatus according to the present embodiment performs the congestion forecast from the change of each index. Since the congestion level is estimated according to the actual conditions of employee movement, etc., it is possible to determine the congestion status with high accuracy, and the congestion forecast is performed using the high accuracy congestion status. Forecasts can be made.

[Modification of Second Embodiment]
In the above description of the second embodiment, it is determined whether the degree of congestion is increasing, stable, or decreasing at the present time, and the congestion forecast is performed. However, the forecast method is not limited to this. Absent. For example, you may obtain | require the change after a certain time from the daily change state of each index. A specific example will be described below.

(Congestion forecast in the modified example)
The estimation unit 145 obtains the tendency of change at each time during the day from the history of each index and stores it in the storage unit 13 in advance.

  And when the estimation part 145 calculates | requires the change of the congestion degree after a certain time, it acquires the tendency of the change memorize | stored in the memory | storage part 13, and changes the congestion degree in a certain time according to the change. The change in the degree of congestion after a certain time is obtained. Then, the estimation unit 145 outputs the change in the degree of congestion after the determined time to the notification unit 15.

(Display of congestion forecast in the modified example)
FIG. 12 is a diagram illustrating an example of a congestion forecast screen provided in the modification of the second embodiment. A congestion forecast 341 is displayed on the screen 304 in FIG. The congestion forecast 341 indicates that the darker the color, the more crowded, and the lighter the color, the darker the color. Thus, in the congestion forecast according to the present embodiment, it is possible to represent an increase or decrease in congestion within a certain period of time, and it is possible to grasp at what time the store is busy.

[Effects of information providing apparatus according to modification]
In this way, by obtaining the change after a certain point in time from the daily change state of each index, it is possible to consider the increase or decrease of the congestion level within a certain time, and to provide information indicating the increase or decrease of the congestion level it can. The user can grasp the time at which the store seems to be quick and can obtain useful information at the time of reservation.

[Hardware configuration]
Note that the information providing server 1 in the first or second embodiment is realized by a computer 50 having a configuration as shown in FIG. 13, for example. FIG. 13 is a hardware configuration diagram illustrating an example of a computer that realizes the function of the information providing server. The computer 50 includes a central processing unit (CPU) 51, a random access memory (RAM) 52, a read only memory (ROM) 53, a hard disk drive (HDD) 54, a communication interface (I / F) 55, an input / output interface (I). / F) 56 and media interface (I / F) 57.

  The CPU 51 operates based on a program stored in the ROM 53 or the HDD 54 and controls each unit. The ROM 53 stores a boot program executed by the CPU 51 when the computer 50 is started up, a program depending on the hardware of the computer 50, and the like.

  The HDD 54 stores a program executed by the CPU 51, data used by the program, and the like. The communication interface 55 receives data from other devices via the communication line 59 and sends the data to the CPU 51, and transmits the data generated by the CPU 51 to other devices via the communication line 59.

  The CPU 51 controls an output device such as a display and a printer and an input device such as a keyboard and a mouse via the input / output interface 56. The CPU 51 acquires data from the input device via the input / output interface 56. Further, the CPU 51 outputs the generated data to the output device via the input / output interface 56.

  The media interface 57 reads a program or data stored in the recording medium 58 and provides it to the CPU 51 via the RAM 52. The CPU 51 loads the program from the recording medium 58 onto the RAM 52 via the media interface 57 and executes the loaded program. The recording medium 58 is, for example, an optical recording medium such as a DVD (Digital Versatile Disc) or PD (Phase change rewritable disk), a magneto-optical recording medium such as an MO (Magneto-Optical disk), a tape medium, a magnetic recording medium, or a semiconductor memory. Etc.

  When the computer 50 functions as the information providing server 1 in the first or second embodiment, the CPU 51 of the computer 50 executes a program loaded on the RAM 52, thereby receiving the receiving unit 10 and the movement state determining unit 12. The functions of the congestion degree determination unit 14 and the notification unit 15 are realized. The HDD 54 realizes the function of the storage unit 13 and stores a movement pattern table 132, an index table 133, a congestion degree table 134, and the like.

  The CPU 51 of the computer 50 reads these programs from the recording medium 58 and executes them, but as another example, these programs may be acquired from other devices via the communication line 59.

DESCRIPTION OF SYMBOLS 1 Information provision server 10 Receiving part 11 Terminal information acquisition part 12 Movement state determination part 13 Storage part 14 Congestion degree determination part 15 Notification part 21 Communication part 22 Control part 25 Detection part 26 Relay part 131 Terminal presence data 132 Movement pattern table 133 Index Table 134 Congestion degree table 141 Unit movement amount acquisition unit 142 Action pattern determination unit 143 Influence degree calculation unit 144 Determination unit 145 Estimation unit 104, 105, 106 Access point 200 Wireless terminal 300 User terminal P Employee

Claims (9)

Terminal information acquisition for acquiring information on wireless terminals respectively existing in a plurality of wireless LAN communication areas provided in a plurality of different areas in a facility from a plurality of wireless LAN access points respectively having the plurality of wireless LAN communication areas And
Based on the information of the wireless terminal acquired from the terminal information acquisition unit, a movement state determination unit that determines the movement state of the wireless terminal in the facility,
A congestion degree determination unit that determines, for each wireless terminal, the degree of influence on the degree of congestion of the facility from the movement state in the facility for each wireless terminal, and determines the degree of congestion of the facility based on the obtained degree of influence When,
An information providing apparatus comprising: a notifying unit that notifies the congestion degree obtained by the congestion degree determining unit. The congestion degree determination unit
A unit movement amount acquisition unit that acquires a movement amount per unit time of the wireless terminal from the movement state determination unit;
An action pattern determination unit that acquires information on the wireless LAN communication area to which the wireless terminal has moved from the movement state determination unit and determines an action pattern corresponding to the movement state of the wireless terminal;
Based on the degree of influence on the degree of congestion by the amount of movement acquired by the unit movement amount acquisition unit and the behavior pattern determined by the action pattern determination unit, an influence degree calculation unit for obtaining the degree of influence on the degree of congestion;
The information providing apparatus according to claim 1, further comprising: The influence degree calculation unit
The information providing apparatus according to claim 2, wherein the degree of influence is increased as the total amount of movement acquired by the unit movement amount acquisition unit increases. The facility has a reception area and a service providing area,
The plurality of wireless LAN access points are arranged at predetermined locations with at least a part of each of the reception area and the service providing area as the wireless LAN communication area,
The congestion degree determination unit
The more the wireless terminal whose movement state of the wireless terminal determined by the movement state determination unit indicates movement to the reception area, the lower the degree of influence and the movement to the service providing area or the presence area The information providing apparatus according to claim 1, wherein the degree of congestion is determined by increasing the degree of influence as the number of wireless terminals increases. The facility is a restaurant having a kitchen area, a meal area, and an accounting area,
The plurality of wireless LAN access points are arranged as at least a part of each of the kitchen area, the meal area, and the accounting area as the wireless LAN communication area,
The degree of influence includes a movement index, an accounting index, and a service index,
The movement state determination unit
In addition to movement between the kitchen area, the meal area, and the accounting area, information on proximity to the wireless LAN access point arranged in the kitchen area and the wireless LAN access point arranged in the accounting area Is determined as the movement state,
The congestion degree determination unit
The movement index increases as the amount of movement between the areas increases, and the accounting index increases when approaching the wireless LAN access point arranged in the kitchen area, and the wireless LAN access point arranged in the accounting area The accounting index is lowered when the access point is close to the wireless LAN access point, and the customer service index is set in cases other than the proximity to the wireless LAN access point arranged in the kitchen area and the proximity to the wireless LAN access point arranged in the accounting area. When the movement index increases, the congestion degree increases, and when the accounting index increases, the congestion degree decreases, and when the customer service index increases, the congestion degree is determined by increasing the congestion degree. The information providing apparatus according to any one of claims 1 to 4, wherein the information providing apparatus is characterized in that: The congestion degree determination unit
Based on a change in the degree of influence on the degree of congestion due to the moving state in a predetermined period, an estimation unit that estimates a change in the degree of congestion thereafter,
The information providing apparatus according to claim 1, wherein the notification unit notifies a change in the degree of congestion after the estimation unit estimates. An information providing system having a plurality of wireless LAN access points, a plurality of wireless terminals, and an information providing device,
The plurality of wireless LAN access points have a plurality of different areas in the facility as wireless LAN communication areas,
The wireless terminals are assigned one by one to workers who provide services in the facility,
The information providing apparatus includes:
A terminal information acquisition unit for acquiring information on the wireless terminals respectively present in the plurality of wireless LAN communication areas from a plurality of wireless LAN access points each having the plurality of wireless LAN communication areas;
Based on the information on the wireless terminal acquired from the terminal information acquisition unit, a movement state determination unit that determines a movement state of the wireless terminal in the facility,
A congestion degree determination unit that determines, for each wireless terminal, the degree of influence on the degree of congestion of the facility from the movement state in the facility for each wireless terminal, and determines the degree of congestion of the facility based on the obtained degree of influence When,
An information providing system comprising: an informing unit for informing the degree of congestion obtained by the congestion degree determining unit. An information providing method performed by a computer,
Obtaining information of wireless terminals respectively present in a plurality of wireless LAN communication areas provided in a plurality of different areas in the facility from a plurality of wireless LAN access points each having the plurality of wireless LAN communication areas,
Based on the information of the wireless terminal, determine the movement state of the wireless terminal in the facility,
The degree of influence on the congestion level of the facility from the movement state in the facility for each wireless terminal is determined for each wireless terminal,
Determine the degree of congestion of the facility based on the calculated degree of influence,
An information providing method comprising: notifying the degree of congestion. Computer
Terminal information acquisition for acquiring information on wireless terminals respectively existing in a plurality of wireless LAN communication areas provided in a plurality of different areas in a facility from a plurality of wireless LAN access points respectively having the plurality of wireless LAN communication areas Part,
Based on the information of the wireless terminal acquired from the terminal information acquisition unit, a movement state determination unit that determines the movement state of the wireless terminal in the facility,
A congestion degree determination unit that determines, for each wireless terminal, the degree of influence on the degree of congestion of the facility from the movement state in the facility for each wireless terminal, and determines the degree of congestion of the facility based on the obtained degree of influence ,
An information providing program that causes each of the functions to function as a notification unit that notifies the degree of congestion obtained by the congestion degree determination unit.

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