WO2022181043A1 - Stay location proposal system, stay location proposal method, and program - Google Patents

Stay location proposal system, stay location proposal method, and program Download PDF

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Publication number
WO2022181043A1
WO2022181043A1 PCT/JP2021/048620 JP2021048620W WO2022181043A1 WO 2022181043 A1 WO2022181043 A1 WO 2022181043A1 JP 2021048620 W JP2021048620 W JP 2021048620W WO 2022181043 A1 WO2022181043 A1 WO 2022181043A1
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stay
user
place
information
places
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PCT/JP2021/048620
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French (fr)
Japanese (ja)
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貴丈 大塚
昌史 村上
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パナソニックIpマネジメント株式会社
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Priority to JP2023502120A priority Critical patent/JPWO2022181043A1/ja
Publication of WO2022181043A1 publication Critical patent/WO2022181043A1/en

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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services

Definitions

  • the present disclosure relates to a place-to-stay proposal system, a place-to-stay proposal method, and a program, and more particularly to a place-to-stay proposal system, a place-to-stay proposal method, and a program for proposing a user's place of stay to a user.
  • a seat proposal system described in Patent Document 1 (hereinafter referred to as conventional example) proposes a seat position suitable for each user's temperature sensitivity in a free address office environment.
  • the conventional example includes a temperature sensor for measuring the room temperature for each seat or for each seat area, an arithmetic processing means, a seat information DB for storing vacant seat information for each seat, a room temperature DB for storing measured room temperature data, and a room temperature for each user.
  • a user DB for storing comfortable temperature zone data is provided.
  • the arithmetic processing means accepts a request for seat position proposal, compares the input data at the time of the request with the user information in the user DB, and identifies the user. Further, the arithmetic processing means acquires the user's comfortable temperature zone data from the comfortable temperature zone DB.
  • the arithmetic processing means extracts vacant seats from the seat information DB and obtains room temperature data for each vacant seat from the room temperature DB. Based on the comfortable temperature zone data of the user and the room temperature data of each vacant seat, the arithmetic processing means selects one or more candidate seats within or near the temperature range where the user feels comfortable from among the extracted vacant seats, and selects the candidate seats. To update the vacant seat information by excluding the seat selected by the user from among the vacant seats.
  • An object of the present disclosure is to provide a place-of-stay proposal system, a place-of-stay proposal method, and a program capable of proposing a place of stay more suitable for the user's taste.
  • a place-to-stay proposal system includes a first acquisition unit, a second acquisition unit, a storage unit, a selection unit, and a proposal unit.
  • the first acquisition unit acquires environmental information including measured values of a plurality of types of environmental factors measured by one or more sensor devices respectively installed at a plurality of places where a user can stay.
  • a said 2nd acquisition part acquires the said user's positional information.
  • the storage unit stores the user's preference information for the plurality of types of environmental factors.
  • the selection unit obtains a degree of similarity between the environment information and the preference information, and selects one or more places of stay from among the plurality of places of stay based on the degree of similarity.
  • the proposal unit proposes the one or more staying places selected by the selection unit to the user.
  • a place-to-stay proposal method provides environmental information including measured values of multiple types of environmental factors measured by one or more sensor devices installed at a plurality of places where a user can stay.
  • the step of obtaining comprises the steps of: obtaining location information of the user; determining a degree of similarity between the user's preference information and the environment information with respect to the plurality of types of environmental factors; selecting one or more staying places from among the staying places.
  • the method of suggesting a place to stay includes the step of proposing the selected one or more places to stay to the user.
  • a program according to one aspect of the present disclosure causes one or more processors to execute the staying place proposal method.
  • FIG. 1 is a system configuration diagram of a staying place proposal system according to an embodiment of the present disclosure.
  • FIG. 2 is a block diagram of a sensor device used in the above system for suggesting a place to stay.
  • FIG. 3 is a block diagram of a processing unit of the same staying place proposal system.
  • FIG. 4 is a schematic diagram of a free address office in which the same staying place proposal system is operated.
  • FIG. 5 is a schematic diagram of a screen on which a user is suggested by the same place-of-stay suggestion system.
  • a stay place proposal system 1 (hereinafter abbreviated as stay place proposal system 1) according to the embodiment provides a user with information suitable for the user's preference information. Suggest one or more places to stay.
  • the "place of stay” in the embodiment means a place where the user can stay for the purpose of work and rest in the free address office where the user works, such as a seat that the user (employee) can freely use Including work space, etc.
  • “Environmental factors” in the embodiment include the temperature (room temperature) of the place of stay and at least one of the humidity, illuminance, noise level and carbon dioxide concentration of the place of stay. Therefore, the "environmental information of the place of stay” in the embodiment means the measured value of the temperature of the place of stay, the measured value of humidity, the measured value of illuminance, the measured value of noise level, and the measured value of carbon dioxide concentration. and at least one.
  • the “preference information” in the embodiment refers to the user's preferences for environmental factors, such as sensitivity to heat, sensitivity to cold, preference for lively places, preference for quiet places, preference for bright places, preference for dark places, and so on. It contains information that expresses various preferences. Specifically, the “preference information” includes measured values of environmental factors that are presumed to make the user feel comfortable (hereinafter referred to as "preferred values of environmental factors").
  • a staying place suggesting system 1 includes a processing unit 10 and a storage unit 13, as shown in FIG. Also, the stay place proposal system 1 may include a plurality of sensor devices 2 , a plurality of scanners 3 , and a plurality of transmitters 4 . Furthermore, the stay place proposal system 1 may include an information collection server 5 , an environment information database 6 , and a location information database 7 .
  • At least one sensor device 2 is installed in each of the plurality of places of stay.
  • the sensor device 2 measures the environmental factors of the place of stay, specifically the temperature of the place of stay and at least one of humidity, illuminance, noise level and carbon dioxide concentration.
  • the sensor device 2 transmits measured values (measured values) by radio signals.
  • each of the plurality of sensor devices 2 measures all of temperature, humidity, illuminance, noise level, and carbon dioxide concentration.
  • the sensor device 2 may also be configured to measure environmental factors other than humidity, illuminance, noise level and carbon dioxide concentration.
  • the sensor device 2 has multiple types of sensing devices 20, a processing circuit 21, and a communication circuit 22, as shown in FIG.
  • the sensor device 2 has a power supply circuit (not shown) including a battery, and is configured to supply operating power to each sensing device 20 , processing circuit 21 and communication circuit 22 from the power supply circuit.
  • a plurality of types (five types in this embodiment) of sensing devices 20 include a temperature sensor that measures temperature (room temperature), a humidity sensor that measures relative humidity, an illuminance sensor that measures illuminance, a sound level meter that measures noise level, and carbon dioxide. It is a gas sensor that measures concentration.
  • the gas sensor is, for example, an NDIR (Non-dispersive Infrared) type gas sensor.
  • the gas sensor may be a gas sensor other than the NDIR type gas sensor. Therefore, it is considered that the carbon dioxide concentration at the place of stay increases as the number of people staying at the place of stay increases.
  • the carbon dioxide concentration at the place of stay is thought to increase as the frequency of ventilation at the place of stay becomes lower. In other words, the carbon dioxide concentration can be an indicator for estimating the infection risk of infectious diseases at the place of stay.
  • the processing circuit 21 analog-to-digital (A/D) converts the measured values (measured values of temperature, humidity, illuminance, noise level, and carbon dioxide concentration) measured by each sensing device 20 .
  • the processing circuit 21 outputs data of each measured value (measured value data) after A/D conversion to the communication circuit 22 .
  • the communication circuit 22 performs wireless communication using, for example, the Bluetooth (registered trademark) Low Energy communication method.
  • the communication method of the communication circuit 22 is not limited to Bluetooth (registered trademark) Low Energy, and may be, for example, Wi-Fi (registered trademark).
  • the communication circuit 22 creates a transmission frame including measurement value data output from each sensing device 20, and transmits the created transmission frame by radio signal.
  • a unique identification code Bluetooth (registered trademark) Address assigned to the sensor device 2 is set as the transmission source address of the transmission frame, and a broadcast address is set as the transmission destination address.
  • the communication circuit 22 transmits radio signals (beacon signals) called advertisement packets at predetermined time intervals and with predetermined transmission power.
  • Communication circuitry 22 may transmit multiple measurements via beacon signals, or may transmit multiple measurements via wireless signals different from the beacon signals.
  • Each of the multiple transmitters 4 is carried by each of multiple users.
  • Each transmitter 4 periodically transmits a beacon signal (advertisement packet) by the Bluetooth (registered trademark) Low Energy communication method.
  • a unique identification code (Bluetooth (registered trademark) Address) assigned to each transmitter 4 is set as the transmission source address of this beacon signal.
  • each transmitter 4 may be a mobile communication terminal (for example, a smart phone) equipped with a wireless communication function based on the Bluetooth (registered trademark) Low Energy communication method.
  • At least one of the plurality of scanners 3 is installed at each of the plurality of places of stay.
  • Each scanner 3 receives wireless signals transmitted from each of the plurality of sensor devices 2 and the plurality of transmitters 4 .
  • Each scanner 3 demodulates the transmission frame from the received radio signal, the demodulated transmission frame, the signal strength of the received radio signal (RSSI: Received Signal Strength Indication), the identification code assigned to each scanner 3, to the information collection server 5.
  • RSSI Received Signal Strength Indication
  • Communication between each scanner 3 and the information collection server 5 is performed by a wired LAN. However, communication between each scanner 3 and the information collection server 5 may be performed by wireless LAN.
  • the information collection server 5 is implemented by, for example, a computer system and a program executed by the computer system.
  • the information collection server 5 communicates with each scanner 3 and receives the transmission frame of the transmitter 4, the transmission frame of the sensor device 2, the signal strength of the radio signal, and the identification code of each scanner 3 from each scanner 3. and store it in memory.
  • the information collection server 5 determines the position of each transmitter 4 (the position of the user carrying the transmitter 4) based on the source address in the transmission frame of the transmitter 4, the identification code of the scanner 3, and the signal strength of the radio signal. ). Then, the information collecting server 5 registers the estimated position of each transmitter 4 in the position information database 7 in association with the identification code of each transmitter 4 and the time when the radio signal was received.
  • the information collection server 5 collects the transmission source address, the identification code of the scanner 3, and the wireless signal in the transmission frame of the sensor device 2.
  • the position of each sensor device 2 is estimated based on the signal strength.
  • the information collecting server 5 registers the estimated position of each sensor device 2 in the position information database 7 in association with the identification code of each sensor device 2 and the time when the radio signal was received.
  • the position of each sensor device 2 is registered in the position information database 7 in advance.
  • the information collection server 5 extracts measured values of a plurality of types of environmental factors from the transmission frame of each sensor device 2, and stores the measured values of these environmental factors in the identification code of each sensor device 2 and the time when the radio signal was received. , and registered in the environment information database 6.
  • the environmental information database 6 includes one or more auxiliary storage devices (hard disk device, SSD device, etc.), data writing to the auxiliary storage device and data reading from the auxiliary storage device. and a control device for processing.
  • auxiliary storage devices hard disk device, SSD device, etc.
  • the control device Based on a command from the information collection server 5, the control device stores the measurement values of multiple types of environmental factors sent from each of the sensor devices 2 for each of the multiple types, with the measured time (actually the reception time of the radio signal). Write to the auxiliary storage device in correspondence.
  • the location information database 7 includes one or more auxiliary storage devices (hard disk device, SSD device, etc.), data writing to the auxiliary storage device and data reading from the auxiliary storage device. and a control device for processing.
  • auxiliary storage devices hard disk device, SSD device, etc.
  • the control device Based on a command from the information collection server 5, the control device receives the position information sent from each transmitter 4 or each transmitter 4 and each sensor device 2, based on the time when each position information was estimated (actually, the radio signal time of reception) and write it to the auxiliary storage device.
  • the storage unit 13 includes one or more auxiliary storage devices (hard disk device, SSD device, etc.), and processes such as writing data to the auxiliary storage device and reading data from the auxiliary storage device. and a controller for performing.
  • auxiliary storage devices hard disk device, SSD device, etc.
  • the storage unit 13 stores user preference information for multiple types of environmental factors.
  • the control device of the storage unit 13 stores the preference information of each user in the auxiliary storage device in association with the unique user IDs assigned to a plurality of users based on the command of the processing unit 10 as will be described later. and read from the auxiliary storage device. However, the user ID of each user is substituted with a unique identification code (Bluetooth (registered trademark) Address) assigned to the transmitter 4 carried by each user.
  • Bluetooth registered trademark
  • the processing unit 10 has a first acquisition section 11, a second acquisition section 12, a selection section 14 and a proposal section 15, as shown in FIG.
  • the processing unit 10 is implemented, for example, by a computer system having one or more processors and a program executed by the computer system. However, the processing unit 10 not only has the functions of the first acquisition unit 11, the second acquisition unit 12, the selection unit 14, and the proposal unit 15, but also functions other than those functions (preference information, as will be described later). function to create data, function to predict measured values of environmental elements, etc.).
  • the program may be recorded in advance in the memory of the computer system, may be provided through an electric communication line, or may be recorded in a non-temporary recording medium such as a computer system-readable memory card, optical disk, or hard disk drive.
  • a processor in a computer system consists of one or more electronic circuits, including semiconductor integrated circuits (ICs) or large scale integrated circuits (LSIs).
  • the integrated circuit such as IC or LSI referred to here is called differently depending on the degree of integration, and includes integrated circuits called system LSI, VLSI (Very Large Scale Integration), or ULSI (Ultra Large Scale Integration).
  • an FPGA Field-Programmable Gate Array
  • a logic device capable of reconfiguring the bonding relationship inside the LSI or reconfiguring the circuit partitions inside the LSI shall also be adopted as the processor. can be done.
  • a plurality of electronic circuits may be integrated into one chip, or may be distributed over a plurality of chips.
  • a plurality of chips may be integrated in one device, or may be distributed in a plurality of devices.
  • a computer system includes a microcontroller having one or more processors and one or more memories. Accordingly, the microcontroller also consists of one or more electronic circuits including semiconductor integrated circuits or large scale integrated circuits.
  • the first acquisition unit 11 accesses the environment information database 6 and acquires measured values of multiple types of environmental factors of each sensor device 2 registered in the environment information database 6 . Specifically, the first acquisition unit 11 gives a command to the control device of the environment information database 6, and acquires the measured values of the multiple types of environmental factors stored in the auxiliary storage device of the environment information database 6 through the control device. read (obtain).
  • the second acquisition unit 12 accesses the position information database 7 and acquires the position information of each transmitter 4 registered in the position information database 7. Specifically, the second acquisition unit 12 gives a command to the control device of the position information database 7, and reads the position information of each transmitter 4 stored in the auxiliary storage device of the position information database 7 through the control device. (get).
  • the selection unit 14 obtains the degree of similarity between the user's preference information and the environmental information of each place of stay for the user whose place of stay is to be proposed. A specific method for obtaining the degree of similarity will be described later.
  • the selection unit 14 selects one or more places of stay estimated to be suitable for the user's preference from among the plurality of places of stay based on the degree of similarity.
  • the proposal unit 15 proposes one or more places of stay selected by the selection unit 14 to the user.
  • the proposal unit 15 sends information indicating one or more places of stay selected by the selection unit 14 (the position of the corresponding place of stay on a map, or a unique code attached to each place of stay, etc.) to each
  • the information is displayed on a display device installed in a place where the user can visually recognize it.
  • the display device is, for example, a tablet terminal equipped with a communication function.
  • the proposal unit 15 may cause the display device to display the environmental information (for example, the latest measured values of each environmental factor) of the proposed stay place together with the information indicating the proposed stay place.
  • the proposal unit 15 may display information indicating the proposed stay place on the screen of the smartphone carried by each user.
  • the proposal unit 15 performs data communication with the display device or the user's smart phone using a wired LAN or wireless LAN, thereby causing the display device or the smart phone to display information indicating a proposed place of stay or the like.
  • FIG. 4 is a sketch of a plurality of places of stay.
  • a plurality of places to stay are formed by dividing one floor of an office building into 16 sections. However, walls or partitions may be installed between individual staying places, or may not be installed.
  • each staying place can be denoted as A1-A4, B1-B4, C1-C4, D1-D4.
  • one sensor device 2 and one scanner 3 are installed at each place of stay.
  • a plurality of sensor devices 2 and scanners 3 may be installed at one or more places of stay.
  • One lighting fixture 81 is installed on each ceiling of the boundary point.
  • one unit of air conditioning equipment 80 for performing cooling/heating, dehumidification, ventilation, etc. is installed in each of the places of stay A1, A4, D1, and D4.
  • one display device 82 comprising a tablet terminal is installed at each of the places of stay A2, B3, C2, and D3. Windows are provided in the outward (upward in FIG.
  • a plurality of users are employees working in the free address office shown in FIG. Each user can freely change the place of stay during the working hours of the day (for example, from 9:00 to 17:00).
  • the processing unit 10 Based on the measured values of each environmental factor accumulated in the environment information database 6 and the position information of each user accumulated in the position information database 7 for a certain period of time (several weeks to several months), the processing unit 10: Acquire preference information for each user.
  • the processing unit 10 divides the working hours into a plurality of time zones for each hour, and calculates the average value of the measured values of the environmental factors of all the places where the user stayed in each time zone for each type of environmental factor. calculate. Then, the processing unit 10 causes the storage unit 13 to store the average value of the measured values calculated for each of the plurality of time periods and the plurality of users for each environmental factor as the preference information of each user in each time period. That is, the storage unit 13 associates the user IDs of the plurality of users with the average values of the measured values of the temperature, humidity, illuminance, noise level, and carbon dioxide concentration for each time period. Stored as user preference information.
  • the processing unit 10 may adopt the most frequent value among the measured values of each environmental factor as the preferred value of each environmental factor. Alternatively, the processing unit 10 obtains the arithmetic mean of the remaining measured values of each environmental factor after excluding infrequently measured values, and adopts the average value as the preferred value of each environmental factor. good too.
  • the staying place proposal system 1 sends a message to the user Start an action to suggest a place to stay.
  • the second acquisition section 12 of the processing unit 10 acquires the user ID of the user to be proposed from the location information database 7 and passes the acquired user ID to the selection section 14 .
  • the selection unit 14 selects the time (hereinafter, abbreviated as start time) at which the operation of suggesting a place to stay for the user belongs among the preference information associated with the user ID received from the second acquisition unit 12.
  • Time zone preference information is acquired from the storage unit 13 .
  • the selection unit 14 acquires, from the environment information database 6, the environment information of each place of stay in the time zone to which the start time belongs, through the first acquisition unit 11 .
  • the selection unit 14 obtains the degree of similarity between the user's preference information and the environmental information of each place of stay.
  • the selection unit 14 determines the Euclidean distance D(x, y) is calculated.
  • the Euclidean distance D(x, y) is calculated by the following formula.
  • w i 1, 2, 3, 4, 5) is the weight of each environmental factor (temperature, humidity, illuminance, noise level, carbon dioxide concentration) at an arbitrary time, and is a value from 0 to 1 be.
  • the weight wi for each environmental factor is increased as the variation (standard deviation) of the average value of the measured values for each time period is smaller.
  • the noise level has a large daily variation, so the weight wi is small, and the temperature has a relatively small daily variation, so the weight wi is large.
  • the degree of similarity Euclidean distance
  • the similarity between the preferred value of each of the plurality of types of environmental factors included in the preference information and the measured value of each of the plurality of types of environmental factors included in the environment information has a small Euclidean distance calculated by the above formula. the higher the The selection unit 14 selects a place of stay (for example, place of stay B1) having the highest degree of similarity between the user's preference information and the environment information from among the 16 places of stay A1, . . . , D4. Then, the selection unit 14 passes the position information of the selected place of stay to the proposal unit 15 .
  • place of stay for example, place of stay B1
  • the proposal unit 15 creates a screen for proposal including a layout diagram G1 in which the position of the place of stay B1 selected by the selection unit 14 is indicated by a pin P1, and a table T1 outlining user preference information ( See Figure 5). Then, the proposal unit 15 transmits the data for displaying the created proposal screen to the display device 82 installed at the place where the user was staying at the start time.
  • the display device 82 causes a display device such as a liquid crystal display to display a proposal screen including the layout chart G1 and the table T1 based on the data received from the proposal unit 15 .
  • the user can know the place of stay B1 proposed by the place-of-stay proposal system 1 by looking at the screen for suggestion displayed by the display device 82 .
  • the proposal unit 15 may present environmental information (temperature, humidity, illuminance, noise level, carbon dioxide concentration) of the place of stay selected by the selection unit 14 to the user.
  • the stay place proposal system 1 proposes a stay place suitable for the user's preferences based on the user's preference information for multiple types of environmental factors. Therefore, the place-to-stay proposal system 1 can propose a place to stay more suitable for the taste of the user than in the conventional example that proposes a seat to the user based on only one type of environmental factor (temperature). .
  • the place-of-stay proposal system 1 may exist in the building (office building) having the place of stay, or may exist in a place away from the building.
  • the information collection server 5, environment information database 6, and location information database 7 are preferably located in a building.
  • the stay place proposal system 1 is configured to communicate with the environmental information database 6 and the position information database 7 via a wide area network (WAN) such as the Internet.
  • WAN wide area network
  • the place-of-stay proposal system 1 may include the information collection server 5, the environment information database 6, and the location information database 7 as components.
  • the place-of-stay proposal system 1 may further include at least one of the sensor device 2, the scanner 3, and the transmitter 4 as further components.
  • Modification 1 A staying place proposal system 1 of Modified Example 1 (hereinafter abbreviated as Modified Example 1) differs from the embodiment in the operation of proposing a staying place to a user.
  • the environment information accumulated in the environment information database 6 is used to predict the time change of the environmental factors for the current day from the average value of the environmental factors for each time period in the last several days, and the preference information for each time period is obtained. Then, the similarity of the predicted environment information is calculated.
  • the processing unit 10 in Modification 1 calculates the predicted value of each environmental factor for each time period of the day and for each place of stay, and stores the calculated predicted value in the storage unit 13 .
  • the processing unit 10 periodically (for example, before starting work each day) acquires environmental information for the last few days (for example, the past five days including the previous day) from the environment information database 6, It is preferable to calculate the predicted value of each environmental factor from the environmental information.
  • the processing unit 10 measures the temperature, humidity, illuminance, noise level, and carbon dioxide concentration at each place of stay in the last few days, every hour from 9:00 to 17:00 Calculate the average value (average value of arithmetic mean). Then, the processing unit 10 registers the average values of the temperature, humidity, illuminance, noise level, and carbon dioxide concentration in each place of stay and each time period in the environment information database 6 as predicted values of each environmental element.
  • the selection unit 14 of the processing unit 10 determines the degree of similarity (Euclidean distance) between the user's preference information and the predicted value of the environmental factor at each place of stay and each time zone registered in the environment information database 6. Ask. The selection unit 14 selects the place of stay having the highest similarity between the user's preference information and the environment information (predicted value) from among the 16 places of stay A1, . . . , D4. Then, the location information of the place of stay selected by the selection unit 14 is passed to the proposal unit 15 and proposed to the user through the proposal unit 15 .
  • the degree of similarity Euclidean distance
  • the stay place proposal system 1 of the modified example 1 by predicting the environment information of the stay place, it is possible to shorten the time until the stay place suitable for the user's preference information is selected. can be planned.
  • Modification 2 The place-of-stay proposal system 1 of Modification 2 (hereinafter abbreviated as Modification 2) differs from Modification 1 in the method of obtaining the predicted value of each environmental element for each time zone.
  • the processing unit 10 in Modification 2 obtains the predicted value of each environmental element for each time period using the learned model.
  • a trained model is generated by machine learning.
  • a machine learning algorithm is, for example, a neural network.
  • the processing unit 10 in Modification 2 receives, for example, the measured values of the environmental factors for several weeks accumulated in the environmental information database 6, and uses the error backpropagation method to determine the parameters of the functions that make up the neural network. Find the gradient of the objective function for .
  • the processing unit 10 may add day-of-the-week information and weather information (maximum temperature, minimum temperature, weather, etc.) as inputs.
  • machine learning algorithms are not limited to neural networks, XGB (eXtreme Gradient Boosting) regression, random forest, decision tree, logistic regression, support vector machine (SVM) vector machine), Naive Bayes classifier, k-nearest neighbors, or the like.
  • the machine learning algorithm may be Gaussian Mixture Model (GMM), k-means clustering, or the like.
  • the learning method of machine learning used in the processing unit 10 may be any of supervised learning, unsupervised learning, and reinforcement learning.
  • the selection unit 14 in Modification 2 uses the environment information at the start time as input, and uses the learned model obtained as described above to obtain the predicted value of each environmental element for each place of stay and time period. Then, the selection unit 14 obtains the degree of similarity (Euclidean distance) between the user's preference information and the predicted value of the environmental factor at each place of stay and each time period. The selection unit 14 selects the place of stay having the highest similarity between the user's preference information and the environment information (predicted value) from among the 16 places of stay A1, . . . , D4. Then, the location information of the place of stay selected by the selection unit 14 is passed to the proposal unit 15 and proposed to the user through the proposal unit 15 .
  • the degree of similarity Euclidean distance
  • the stay place proposal system 1 of the modification 2 by obtaining the predicted value of the environmental information of the stay place using the learned model, until the stay place suitable for the user's preference information is selected time can be further shortened.
  • Modification 3 The place-to-stay proposal system 1 of Modification 3 (hereinafter abbreviated as Modification 3) differs from the embodiment in the method of obtaining preference information (preferred values of environmental factors) of each of a plurality of users.
  • the processing unit 10 in Modification 3 acquires the average value of the measured values of each environmental factor for each time zone at all places of stay and the difference between the measured values of each environmental factor for each time zone at the place of stay of the user. .
  • the processing unit 10 averages (arithmetic mean) the differences in the measured values of each environmental factor for each time slot in the place where the user stays, and stores the average values in the storage unit 13 as the differences from the preferred values of the preference information. Memorize.
  • the processing unit 10 acquires the difference between the preferred value of the user's preference information from the storage unit 13, and adds the measured value of each environmental factor of the place of stay acquired from the environment information database 6 to the user's preference information.
  • a preferred value for each environmental factor is calculated by adding the difference from the preferred value.
  • a method for proposing a place to stay includes the steps of acquiring location information of a user, determining the degree of similarity between the user's preference information and environmental information for a plurality of types of environmental factors, and determining a plurality of places to stay based on the degree of similarity. and selecting one or more stay locations from among.
  • a method for suggesting a place to stay according to an embodiment includes the step of proposing one or more selected places to stay to a user.
  • place-to-stay proposal method may be executed by the above-described place-to-stay proposal system 1, or may be realized by causing one or more processors to execute the program (computer program) according to the embodiment. do not have.
  • the place-to-stay proposal system (1) includes a first acquisition unit (11), a second acquisition unit (12), a storage unit (13), a selection unit ( 14) and a proposal unit (15).
  • a first acquisition unit (11) acquires an environment including measured values of a plurality of types of environmental factors measured by one or more sensor devices (2) respectively installed at a plurality of places where a user can stay. Get information.
  • a second acquisition unit (12) acquires location information of the user.
  • a storage unit (13) stores user preference information for a plurality of types of environmental factors.
  • a selection unit (14) obtains the degree of similarity between the environment information and the preference information.
  • a selection unit (14) selects one or more places of stay from a plurality of places of stay based on the degree of similarity.
  • a proposal unit (15) proposes to the user one or more places of stay selected by the selection unit (14).
  • a place-to-stay proposal system (1) provides a place to stay that is more suitable for the user's taste than a conventional example that proposes a seat to the user based on only one type of environmental factor (temperature). can be proposed.
  • a stay place proposal system (1) according to the second aspect of the present disclosure can be realized by combining with the first aspect.
  • the selection unit (14) selects the measured values of the plurality of types of environmental factors included in the environmental information and the preferred values of the plurality of types of environmental factors included in the preference information. It is preferable to obtain the degree of similarity from the Euclidean distance between .
  • the place-to-stay proposal system (1) according to the second aspect can easily obtain the degree of similarity.
  • a stay location proposal system (1) according to the third aspect of the present disclosure can be realized by combining with the second aspect.
  • the preferred values of the plurality of types of environmental factors are the plurality of types of environmental factors included in the environmental information during the user's stay at the place where the user stayed. is preferably determined by averaging the respective measurements of .
  • the place-to-stay proposal system (1) according to the third aspect can easily obtain suitable values for multiple types of environmental factors.
  • a stay place proposal system (1) according to the fourth aspect of the present disclosure can be realized by a combination with any one of the first to third aspects.
  • the proposal unit (15) presents the user with environmental information of one or more stay places selected by the selection unit (14).
  • the stay place proposal system (1) according to the fourth aspect can inform the user of the environment information of the proposed stay place.
  • a stay place proposal system (1) according to the fifth aspect of the present disclosure can be realized by a combination with any one of the first to fourth aspects.
  • the plurality of types of environmental factors include the temperature of the stay place and at least one of the humidity, illuminance, noise level and carbon dioxide concentration of the stay place. is preferred.
  • the stay place proposal system (1) can propose a stay place that finely corresponds to the preferences of the user.
  • a place-to-stay proposal system (1) according to the sixth aspect of the present disclosure can be realized by combining with any one of the first to fifth aspects.
  • the selection unit (14) preferably predicts the measured value of at least one type of environmental factor among the plurality of types of environmental factors.
  • the selection unit (14) obtains the degree of similarity between the environment information including the predicted measured value and the preference information.
  • a place-to-stay proposal system (1) obtains the degree of similarity between environment information including a measured value (predicted value) predicted by a selection unit (14) and preference information, thereby It is possible to further shorten the time required to select a suitable place to stay.
  • a staying place proposal method measures a plurality of types of environmental factors measured by one or more sensor devices (2) respectively installed at a plurality of staying places where a user can stay. It includes obtaining environment information including values.
  • a method of suggesting a place to stay according to a seventh aspect includes a step of acquiring location information of a user; selecting one or more stay locations from among the stay locations.
  • a staying place proposal method includes the step of proposing the selected one or more staying places to the user.
  • a staying place proposal method proposes a staying place more suitable for the user's preference than the conventional example of suggesting a seat to the user based on only one type of environmental factor (temperature). be able to.
  • a program according to the eighth aspect of the present disclosure causes one or more processors to execute the method of suggesting a place to stay according to the seventh aspect.
  • the program according to the eighth aspect can propose a place to stay more suitable for the user's preference than the conventional example that proposes a seat to the user based on only one type of environmental factor (temperature). .

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Abstract

The problem to be addressed by this disclosure is to propose a stay location better suited to preferences of a user. A stay location proposal system (1) comprises a first acquisition unit, a second acquisition unit, a storage unit (13), a selection unit, and a proposal unit. The first acquisition unit acquires environment information including measured values of a plurality of types of environmental factors measured by each of one or more sensor devices (2) respectively installed in a plurality of stay locations at which a user may stay. The second acquisition unit acquires position information about the user. The storage unit (13) stores preference information about the user regarding the plurality of types of environmental factors. The selection unit obtains a similarity between the environment information and the preference information. The selection unit selects one or more stay locations from among the plurality of stay locations on the basis of the similarity. The proposal unit proposes the one or more stay locations selected by the selection unit to the user.

Description

滞在場所提案システム、滞在場所提案方法、及びプログラムStaying Place Proposal System, Staying Place Proposing Method, and Program
 本開示は、滞在場所提案システム、滞在場所提案方法、及びプログラムに関し、より詳細には、利用者に対して利用者の滞在場所を提案する滞在場所提案システム、滞在場所提案方法、及びプログラムに関する。 The present disclosure relates to a place-to-stay proposal system, a place-to-stay proposal method, and a program, and more particularly to a place-to-stay proposal system, a place-to-stay proposal method, and a program for proposing a user's place of stay to a user.
 従来例として特許文献1記載の座席提案システムを例示する。特許文献1記載の座席提案システム(以下、従来例という。)は、フリーアドレスオフィス環境において、各ユーザの温度感度に適した座席位置を提案する。 As a conventional example, the seat proposal system described in Patent Document 1 will be exemplified. A seat proposal system described in Patent Document 1 (hereinafter referred to as conventional example) proposes a seat position suitable for each user's temperature sensitivity in a free address office environment.
 従来例は、席ごと又は席エリアごとの室温を計測する温度センサ、演算処理手段、席別の空席情報を記憶する席情報DB、計測された室温データを記憶する室温DB、及び、ユーザ別の快適温度帯データを記憶するユーザDBを備える。演算処理手段は、座席位置提案の要求を受け付け、当該要求時の入力データをユーザDBのユーザ情報と照合して当該ユーザの特定を行う。また、演算処理手段は、快適温度帯DBから当該ユーザの快適温度帯データを取得する。演算処理手段は、席情報DBから空席を抽出し、室温DBから空席ごとの室温データを取得する。演算処理手段は、当該ユーザの快適温度帯データと空席ごとの室温データに基づいて、抽出した空席の中から当該ユーザが快適と感じる温度範囲内又は近傍の候補席を1以上選択し、当該候補席の中から当該ユーザの選択した席を空席から除外して空席情報を更新する。 The conventional example includes a temperature sensor for measuring the room temperature for each seat or for each seat area, an arithmetic processing means, a seat information DB for storing vacant seat information for each seat, a room temperature DB for storing measured room temperature data, and a room temperature for each user. A user DB for storing comfortable temperature zone data is provided. The arithmetic processing means accepts a request for seat position proposal, compares the input data at the time of the request with the user information in the user DB, and identifies the user. Further, the arithmetic processing means acquires the user's comfortable temperature zone data from the comfortable temperature zone DB. The arithmetic processing means extracts vacant seats from the seat information DB and obtains room temperature data for each vacant seat from the room temperature DB. Based on the comfortable temperature zone data of the user and the room temperature data of each vacant seat, the arithmetic processing means selects one or more candidate seats within or near the temperature range where the user feels comfortable from among the extracted vacant seats, and selects the candidate seats. To update the vacant seat information by excluding the seat selected by the user from among the vacant seats.
 しかしながら、特許文献1記載の従来例のように、席(滞在場所)ごとの室温のみで各ユーザ(利用者)に適した座席位置を提案しても、室温(温度)以外の環境要因によってユーザが快適と感じられない場合がある。 However, even if a seat position suitable for each user (user) is proposed based only on the room temperature of each seat (place of stay) as in the conventional example described in Patent Document 1, environmental factors other than the room temperature (temperature) may affect the user. may not feel comfortable.
特開2013-185798号公報JP 2013-185798 A
 本開示の目的は、より利用者の嗜好に適した滞在場所を提案することができる滞在場所提案システム、滞在場所提案方法、及びプログラムを提供することである。

 本開示の一態様に係る滞在場所提案システムは、第1取得部と、第2取得部と、記憶部と、選択部と、提案部と、を備える。前記第1取得部は、利用者が滞在可能な複数の滞在場所にそれぞれ設置されている1つ以上のセンサ装置のそれぞれが計測する複数種類の環境要因の計測値を含む環境情報を取得する。前記第2取得部は、前記利用者の位置情報を取得する。前記記憶部は、前記複数種類の環境要因に対する前記利用者の嗜好情報を記憶する。前記選択部は、前記環境情報と前記嗜好情報の類似度を求め、前記類似度に基づいて前記複数の滞在場所の中から1つ以上の滞在場所を選択する。前記提案部は、前記選択部が選択した前記1つ以上の滞在場所を前記利用者に提案する。
An object of the present disclosure is to provide a place-of-stay proposal system, a place-of-stay proposal method, and a program capable of proposing a place of stay more suitable for the user's taste.

A place-to-stay proposal system according to an aspect of the present disclosure includes a first acquisition unit, a second acquisition unit, a storage unit, a selection unit, and a proposal unit. The first acquisition unit acquires environmental information including measured values of a plurality of types of environmental factors measured by one or more sensor devices respectively installed at a plurality of places where a user can stay. A said 2nd acquisition part acquires the said user's positional information. The storage unit stores the user's preference information for the plurality of types of environmental factors. The selection unit obtains a degree of similarity between the environment information and the preference information, and selects one or more places of stay from among the plurality of places of stay based on the degree of similarity. The proposal unit proposes the one or more staying places selected by the selection unit to the user.
 本開示の一態様に係る滞在場所提案方法は、利用者が滞在可能な複数の滞在場所にそれぞれ設置されている1つ以上のセンサ装置が計測する複数種類の環境要因の計測値を含む環境情報を取得するステップを含む。前記滞在場所提案方法は、前記利用者の位置情報を取得するステップと、前記複数種類の環境要因に対する前記利用者の嗜好情報と前記環境情報の類似度を求め、前記類似度に基づいて前記複数の滞在場所の中から1つ以上の滞在場所を選択するステップと、を含む。前記滞在場所提案方法は、選択した前記1つ以上の滞在場所を前記利用者に提案するステップを含む。 A place-to-stay proposal method according to an aspect of the present disclosure provides environmental information including measured values of multiple types of environmental factors measured by one or more sensor devices installed at a plurality of places where a user can stay. including the step of obtaining The method of suggesting a place to stay comprises the steps of: obtaining location information of the user; determining a degree of similarity between the user's preference information and the environment information with respect to the plurality of types of environmental factors; selecting one or more staying places from among the staying places. The method of suggesting a place to stay includes the step of proposing the selected one or more places to stay to the user.
 本開示の一態様に係るプログラムは、1以上のプロセッサに、前記滞在場所提案方法を実行させる。 A program according to one aspect of the present disclosure causes one or more processors to execute the staying place proposal method.
図1は、本開示の実施形態に係る滞在場所提案システムのシステム構成図である。FIG. 1 is a system configuration diagram of a staying place proposal system according to an embodiment of the present disclosure. 図2は、同上の滞在場所提案システムで使用されるセンサ装置のブロック図である。FIG. 2 is a block diagram of a sensor device used in the above system for suggesting a place to stay. 図3は、同上の滞在場所提案システムの処理ユニットのブロック図である。FIG. 3 is a block diagram of a processing unit of the same staying place proposal system. 図4は、同上の滞在場所提案システムが運用されるフリーアドレスオフィスの見取図である。FIG. 4 is a schematic diagram of a free address office in which the same staying place proposal system is operated. 図5は、同上の滞在場所提案システムによって利用者の提案される画面の模式図である。FIG. 5 is a schematic diagram of a screen on which a user is suggested by the same place-of-stay suggestion system.
 以下、本開示の実施形態に係る滞在場所提案システム、滞在場所提案方法及びプログラムについて、図面を参照して詳細に説明する。ただし、以下の実施形態で説明する構成は本開示の一例にすぎない。本開示は、以下の実施形態に限定されず、本開示の効果を奏することができれば、設計等に応じて種々の変更が可能である。 The stay place proposal system, stay place proposal method, and program according to the embodiment of the present disclosure will be described in detail below with reference to the drawings. However, the configurations described in the following embodiments are merely examples of the present disclosure. The present disclosure is not limited to the following embodiments, and various modifications can be made according to design and the like as long as the effects of the present disclosure can be achieved.
 (1)実施形態に係る滞在場所提案システムの概略
 実施形態に係る滞在場所提案システム1(以下、滞在場所提案システム1と略す。)は、利用者に対して、利用者の嗜好情報に適した1つ以上の滞在場所を提案する。
(1) Overview of stay place proposal system according to embodiment A stay place proposal system 1 (hereinafter abbreviated as stay place proposal system 1) according to the embodiment provides a user with information suitable for the user's preference information. Suggest one or more places to stay.
 実施形態における「滞在場所」は、利用者が勤務するフリーアドレスのオフィスにおいて、業務及び休息などを目的として利用者が滞在可能な場所、例えば、利用者(従業員)が自由に使用できる座席及び作業スペースなどを含む。 The "place of stay" in the embodiment means a place where the user can stay for the purpose of work and rest in the free address office where the user works, such as a seat that the user (employee) can freely use Including work space, etc.
 実施形態における「環境要因」は、滞在場所の温度(室温)と、滞在場所の湿度、照度、騒音レベル及び二酸化炭素濃度のうちの少なくとも1つと、を含む。ゆえに、実施形態における「滞在場所の環境情報」とは、滞在場所の温度の測定値と、湿度の測定値、照度の測定値、騒音レベルの測定値、及び二酸化炭素濃度の測定値のうちの少なくとも1つと、を含む。 "Environmental factors" in the embodiment include the temperature (room temperature) of the place of stay and at least one of the humidity, illuminance, noise level and carbon dioxide concentration of the place of stay. Therefore, the "environmental information of the place of stay" in the embodiment means the measured value of the temperature of the place of stay, the measured value of humidity, the measured value of illuminance, the measured value of noise level, and the measured value of carbon dioxide concentration. and at least one.
 実施形態における「嗜好情報」は、利用者の環境要因に対する嗜好、例えば、暑がり、寒がり、にぎやかな場所を好む、静かな場所を好む、明るめの場所を好む、暗めの場所を好む、というような嗜好を表す情報を含む。具体的には、利用者が快適と感じていると推測される環境要因の測定値(以下、環境要因の好適値と呼ぶ。)が「嗜好情報」に含まれる。 The "preference information" in the embodiment refers to the user's preferences for environmental factors, such as sensitivity to heat, sensitivity to cold, preference for lively places, preference for quiet places, preference for bright places, preference for dark places, and so on. It contains information that expresses various preferences. Specifically, the "preference information" includes measured values of environmental factors that are presumed to make the user feel comfortable (hereinafter referred to as "preferred values of environmental factors").
 (2)実施形態に係る滞在場所提案システムの構成
 滞在場所提案システム1は、図1に示すように、処理ユニット10と、記憶部13と、を備える。また、滞在場所提案システム1は、複数のセンサ装置2、複数のスキャナ3、及び複数の発信器4を備えてもよい。さらに、滞在場所提案システム1は、情報収集サーバ5、環境情報データベース6、及び位置情報データベース7を備えてもよい。
(2) Configuration of Staying Place Proposing System According to Embodiment A staying place suggesting system 1 includes a processing unit 10 and a storage unit 13, as shown in FIG. Also, the stay place proposal system 1 may include a plurality of sensor devices 2 , a plurality of scanners 3 , and a plurality of transmitters 4 . Furthermore, the stay place proposal system 1 may include an information collection server 5 , an environment information database 6 , and a location information database 7 .
 (2-1)センサ装置
 センサ装置2は、複数の滞在場所のそれぞれに少なくとも1つずつ設置される。センサ装置2は、滞在場所の環境要因、具体的には、滞在場所の温度と、湿度、照度、騒音レベル及び二酸化炭素濃度のうちの少なくとも1つと、を測定する。センサ装置2は、測定した値(測定値)を無線信号によって送信する。ただし、以下に説明する実施形態において、複数のセンサ装置2はそれぞれ、温度、湿度、照度、騒音レベル及び二酸化炭素濃度のすべてを測定する。また、センサ装置2は、湿度、照度、騒音レベル及び二酸化炭素濃度以外の環境要因を測定するように構成されても構わない。
(2-1) Sensor Device At least one sensor device 2 is installed in each of the plurality of places of stay. The sensor device 2 measures the environmental factors of the place of stay, specifically the temperature of the place of stay and at least one of humidity, illuminance, noise level and carbon dioxide concentration. The sensor device 2 transmits measured values (measured values) by radio signals. However, in the embodiments described below, each of the plurality of sensor devices 2 measures all of temperature, humidity, illuminance, noise level, and carbon dioxide concentration. The sensor device 2 may also be configured to measure environmental factors other than humidity, illuminance, noise level and carbon dioxide concentration.
 センサ装置2は、図2に示すように、複数種類のセンシングデバイス20と、処理回路21と、通信回路22と、を有する。ただし、センサ装置2は、電池を含む電源回路(不図示)を有し、電源回路から各センシングデバイス20、処理回路21及び通信回路22に動作電源を供給するように構成される。 The sensor device 2 has multiple types of sensing devices 20, a processing circuit 21, and a communication circuit 22, as shown in FIG. However, the sensor device 2 has a power supply circuit (not shown) including a battery, and is configured to supply operating power to each sensing device 20 , processing circuit 21 and communication circuit 22 from the power supply circuit.
 複数種類(実施形態では5種類)のセンシングデバイス20は、温度(室温)を測定する温度センサ、相対湿度を測定する湿度センサ、照度を測定する照度センサ、騒音レベルを測定する騒音計、二酸化炭素濃度を測定するガスセンサである。 A plurality of types (five types in this embodiment) of sensing devices 20 include a temperature sensor that measures temperature (room temperature), a humidity sensor that measures relative humidity, an illuminance sensor that measures illuminance, a sound level meter that measures noise level, and carbon dioxide. It is a gas sensor that measures concentration.
 ガスセンサは、例えば、NDIR(Non-dispersive Infrared:非分散型赤外線)方式のガスセンサである。ただし、ガスセンサは、NDIR方式以外のガスセンサであっても構わない。しかして、滞在場所の二酸化炭素濃度は、滞在場所に滞在する人数が増えるにつれて高くなると考えられる。また、滞在場所の二酸化炭素濃度は、滞在場所の換気の頻度が低いほど高くなると考えられる。つまり、二酸化炭素濃度は、滞在場所における感染症の感染リスクを推測するための指標となり得る。 The gas sensor is, for example, an NDIR (Non-dispersive Infrared) type gas sensor. However, the gas sensor may be a gas sensor other than the NDIR type gas sensor. Therefore, it is considered that the carbon dioxide concentration at the place of stay increases as the number of people staying at the place of stay increases. In addition, the carbon dioxide concentration at the place of stay is thought to increase as the frequency of ventilation at the place of stay becomes lower. In other words, the carbon dioxide concentration can be an indicator for estimating the infection risk of infectious diseases at the place of stay.
 処理回路21は、各センシングデバイス20で測定された測定値(温度、湿度、照度、騒音レベル、二酸化炭素濃度の各測定値)をアナログ・ディジタル(A/D)変換する。処理回路21は、A/D変換後の各測定値のデータ(測定値データ)を通信回路22に出力する。 The processing circuit 21 analog-to-digital (A/D) converts the measured values (measured values of temperature, humidity, illuminance, noise level, and carbon dioxide concentration) measured by each sensing device 20 . The processing circuit 21 outputs data of each measured value (measured value data) after A/D conversion to the communication circuit 22 .
 通信回路22は、例えば、Bluetooth(登録商標)Low Energyの通信方式で無線通信を行う。ただし、通信回路22の通信方式は、Bluetooth(登録商標)Low Energyに限らず、例えば、Wi-Fi(登録商標)でもよい。 The communication circuit 22 performs wireless communication using, for example, the Bluetooth (registered trademark) Low Energy communication method. However, the communication method of the communication circuit 22 is not limited to Bluetooth (registered trademark) Low Energy, and may be, for example, Wi-Fi (registered trademark).
 通信回路22は、各センシングデバイス20から出力される測定値データを含む送信フレームを作成し、作成した送信フレームを無線信号によって送信する。送信フレームの送信元アドレスにはセンサ装置2に割り当てられた固有の識別符号(Bluetooth(登録商標)Address)が設定され、送信先アドレスにはブロードキャストアドレスが設定されている。なお、通信回路22は、アドバタイズメントパケットと呼ばれる無線信号(ビーコン信号)を所定の時間間隔及び所定の送信電力で送信する。通信回路22は、ビーコン信号によって複数の測定値を送信することもでき、ビーコン信号と異なる無線信号によって複数の測定値を送信することもできる。 The communication circuit 22 creates a transmission frame including measurement value data output from each sensing device 20, and transmits the created transmission frame by radio signal. A unique identification code (Bluetooth (registered trademark) Address) assigned to the sensor device 2 is set as the transmission source address of the transmission frame, and a broadcast address is set as the transmission destination address. The communication circuit 22 transmits radio signals (beacon signals) called advertisement packets at predetermined time intervals and with predetermined transmission power. Communication circuitry 22 may transmit multiple measurements via beacon signals, or may transmit multiple measurements via wireless signals different from the beacon signals.
 (2-2)発信器
 複数の発信器4はそれぞれ、複数の利用者に1つずつ携帯される。各発信器4は、Bluetooth(登録商標)Low Energyの通信方式によってビーコン信号(アドバタイズメントパケット)を定期的に送信する。このビーコン信号の送信元アドレスには、各発信器4に割り当てられた固有の識別符号(Bluetooth(登録商標)Address)が設定される。ただし、各発信器4は、Bluetooth(登録商標)Low Energyの通信方式による無線通信の機能を搭載したモバイル通信端末(例えば、スマートフォン)であっても構わない。
(2-2) Transmitters Each of the multiple transmitters 4 is carried by each of multiple users. Each transmitter 4 periodically transmits a beacon signal (advertisement packet) by the Bluetooth (registered trademark) Low Energy communication method. A unique identification code (Bluetooth (registered trademark) Address) assigned to each transmitter 4 is set as the transmission source address of this beacon signal. However, each transmitter 4 may be a mobile communication terminal (for example, a smart phone) equipped with a wireless communication function based on the Bluetooth (registered trademark) Low Energy communication method.
 (2-3)スキャナ
 複数のスキャナ3はそれぞれ、複数の滞在場所に少なくとも1つずつ設置される。各スキャナ3は、複数のセンサ装置2及び複数の発信器4のそれぞれから送信される無線信号を受信する。各スキャナ3は、受信した無線信号から送信フレームを復調し、復調した送信フレームと、受信した無線信号の信号強度(RSSI:Received Signal Strength Indication)と、各スキャナ3に割り当てられた識別符号と、を情報収集サーバ5に送信する。なお、各スキャナ3と情報収集サーバ5の間の通信は、有線LANによって行われる。ただし、各スキャナ3と情報収集サーバ5の間の通信は、無線LANによって行われても構わない。
(2-3) Scanner At least one of the plurality of scanners 3 is installed at each of the plurality of places of stay. Each scanner 3 receives wireless signals transmitted from each of the plurality of sensor devices 2 and the plurality of transmitters 4 . Each scanner 3 demodulates the transmission frame from the received radio signal, the demodulated transmission frame, the signal strength of the received radio signal (RSSI: Received Signal Strength Indication), the identification code assigned to each scanner 3, to the information collection server 5. Communication between each scanner 3 and the information collection server 5 is performed by a wired LAN. However, communication between each scanner 3 and the information collection server 5 may be performed by wireless LAN.
 (2-4)情報収集サーバ
 情報収集サーバ5は、例えば、コンピュータシステムと、コンピュータシステムによって実行されるプログラムと、によって実現される。
(2-4) Information Collection Server The information collection server 5 is implemented by, for example, a computer system and a program executed by the computer system.
 情報収集サーバ5は、各スキャナ3と通信し、発信器4の送信フレームと、センサ装置2の送信フレームと、無線信号の信号強度と、各スキャナ3の識別符号と、を各スキャナ3から受信してメモリに格納する。 The information collection server 5 communicates with each scanner 3 and receives the transmission frame of the transmitter 4, the transmission frame of the sensor device 2, the signal strength of the radio signal, and the identification code of each scanner 3 from each scanner 3. and store it in memory.
 情報収集サーバ5は、発信器4の送信フレームにおける送信元アドレス、スキャナ3の識別符号、及び無線信号の信号強度に基づいて、各発信器4の位置(発信器4を携帯する利用者の位置)を推定する。そして、情報収集サーバ5は、推定した各発信器4の位置を、各発信器4の識別符号及び無線信号を受信した時刻と対応付けて、位置情報データベース7に登録する。 The information collection server 5 determines the position of each transmitter 4 (the position of the user carrying the transmitter 4) based on the source address in the transmission frame of the transmitter 4, the identification code of the scanner 3, and the signal strength of the radio signal. ). Then, the information collecting server 5 registers the estimated position of each transmitter 4 in the position information database 7 in association with the identification code of each transmitter 4 and the time when the radio signal was received.
 また、各センサ装置2が机などの什器の上に移動可能に設置されている場合、情報収集サーバ5は、センサ装置2の送信フレームにおける送信元アドレス、スキャナ3の識別符号、及び無線信号の信号強度に基づいて、各センサ装置2の位置を推定する。そして、情報収集サーバ5は、推定した各センサ装置2の位置を、各センサ装置2の識別符号及び無線信号を受信した時刻と対応付けて、位置情報データベース7に登録する。ただし、各センサ装置2が天井及び壁などに移動不可能に設置されている場合、事前に位置情報データベース7に各センサ装置2の位置が登録される。 Further, when each sensor device 2 is movably installed on a fixture such as a desk, the information collection server 5 collects the transmission source address, the identification code of the scanner 3, and the wireless signal in the transmission frame of the sensor device 2. The position of each sensor device 2 is estimated based on the signal strength. Then, the information collecting server 5 registers the estimated position of each sensor device 2 in the position information database 7 in association with the identification code of each sensor device 2 and the time when the radio signal was received. However, if each sensor device 2 is immovably installed on the ceiling, wall, or the like, the position of each sensor device 2 is registered in the position information database 7 in advance.
 さらに、情報収集サーバ5は、各センサ装置2の送信フレームから複数種類の環境要因の測定値を取り出し、それらの環境要因の測定値を、各センサ装置2の識別符号及び無線信号を受信した時刻と対応付けて、環境情報データベース6に登録する。 Furthermore, the information collection server 5 extracts measured values of a plurality of types of environmental factors from the transmission frame of each sensor device 2, and stores the measured values of these environmental factors in the identification code of each sensor device 2 and the time when the radio signal was received. , and registered in the environment information database 6.
 (2-5)環境情報データベース
 環境情報データベース6は、1台以上の補助記憶装置(ハードディスク装置、SSD装置など)と、補助記憶装置に対するデータの書き込み及び補助記憶装置からのデータの読み出し、などの処理を行う制御装置と、を有する。
(2-5) Environmental information database The environmental information database 6 includes one or more auxiliary storage devices (hard disk device, SSD device, etc.), data writing to the auxiliary storage device and data reading from the auxiliary storage device. and a control device for processing.
 制御装置は、情報収集サーバ5の指令に基づき、各センサ装置2から送られてくる複数種類の環境要因の測定値を、複数種類ごとに、測定された時刻(実際は無線信号の受信時刻)と対応付けて補助記憶装置に書き込む。 Based on a command from the information collection server 5, the control device stores the measurement values of multiple types of environmental factors sent from each of the sensor devices 2 for each of the multiple types, with the measured time (actually the reception time of the radio signal). Write to the auxiliary storage device in correspondence.
 (2-6)位置情報データベース
 位置情報データベース7は、1台以上の補助記憶装置(ハードディスク装置、SSD装置など)と、補助記憶装置に対するデータの書き込み及び補助記憶装置からのデータの読み出し、などの処理を行う制御装置と、を有する。
(2-6) Location Information Database The location information database 7 includes one or more auxiliary storage devices (hard disk device, SSD device, etc.), data writing to the auxiliary storage device and data reading from the auxiliary storage device. and a control device for processing.
 制御装置は、情報収集サーバ5の指令に基づき、各発信器4又は各発信器4と各センサ装置2から送られてくる位置情報を、それぞれの位置情報が推定された時刻(実際は無線信号の受信時刻)と対応付けて補助記憶装置に書き込む。 Based on a command from the information collection server 5, the control device receives the position information sent from each transmitter 4 or each transmitter 4 and each sensor device 2, based on the time when each position information was estimated (actually, the radio signal time of reception) and write it to the auxiliary storage device.
 (2-7)記憶部
 記憶部13は、1台以上の補助記憶装置(ハードディスク装置、SSD装置など)と、補助記憶装置に対するデータの書き込み及び補助記憶装置からのデータの読み出し、などの処理を行う制御装置と、を有する。
(2-7) Storage Unit The storage unit 13 includes one or more auxiliary storage devices (hard disk device, SSD device, etc.), and processes such as writing data to the auxiliary storage device and reading data from the auxiliary storage device. and a controller for performing.
 記憶部13は、複数種類の環境要因に対する利用者の嗜好情報を記憶する。記憶部13の制御装置は、後述するように処理ユニット10の指令に基づき、複数の利用者に割り当てられた固有の利用者IDに対応付けて、各利用者の嗜好情報を補助記憶装置に記憶し、かつ、補助記憶装置から読み出す。ただし、各利用者の利用者IDは、各利用者が携帯する発信器4に割り当てられた固有の識別符号(Bluetooth(登録商標)Address)で代用される。 The storage unit 13 stores user preference information for multiple types of environmental factors. The control device of the storage unit 13 stores the preference information of each user in the auxiliary storage device in association with the unique user IDs assigned to a plurality of users based on the command of the processing unit 10 as will be described later. and read from the auxiliary storage device. However, the user ID of each user is substituted with a unique identification code (Bluetooth (registered trademark) Address) assigned to the transmitter 4 carried by each user.
 (2-8)処理ユニット
 処理ユニット10は、図3に示すように、第1取得部11、第2取得部12、選択部14及び提案部15を有する。処理ユニット10は、例えば、1つ以上のプロセッサを有するコンピュータシステムと、コンピュータシステムによって実行されるプログラムと、によって実現される。ただし、処理ユニット10は、第1取得部11、第2取得部12、選択部14及び提案部15のそれぞれの機能だけでなく、それらの機能とは別の機能(後述するように嗜好情報を作成する機能、環境要素の測定値を予測する機能など)を有する。プログラムは、コンピュータシステムのメモリにあらかじめ記録されてもよく、電気通信回線を通じて提供されてもよく、コンピュータシステムで読み取り可能なメモリカード、光学ディスク、ハードディスクドライブ等の非一時的記録媒体に記録されて提供されてもよい。コンピュータシステムのプロセッサは、半導体集積回路(IC)又は大規模集積回路(LSI)を含む1ないし複数の電子回路で構成される。ここでいうIC又はLSI等の集積回路は、集積の度合いによって呼び方が異なっており、システムLSI、VLSI(Very Large Scale Integration)、又はULSI(Ultra Large Scale Integration)と呼ばれる集積回路を含む。さらに、LSIの製造後にプログラムされる、FPGA(Field-Programmable Gate Array)、又はLSI内部の接合関係の再構成若しくはLSI内部の回路区画の再構成が可能な論理デバイスについても、プロセッサとして採用することができる。複数の電子回路は、1つのチップに集約されていてもよいし、複数のチップに分散して設けられていてもよい。複数のチップは、1つの装置に集約されていてもよいし、複数の装置に分散して設けられていてもよい。ここでいうコンピュータシステムは、1以上のプロセッサ及び1以上のメモリを有するマイクロコントローラを含む。したがって、マイクロコントローラについても、半導体集積回路又は大規模集積回路を含む1ないし複数の電子回路で構成される。
(2-8) Processing Unit The processing unit 10 has a first acquisition section 11, a second acquisition section 12, a selection section 14 and a proposal section 15, as shown in FIG. The processing unit 10 is implemented, for example, by a computer system having one or more processors and a program executed by the computer system. However, the processing unit 10 not only has the functions of the first acquisition unit 11, the second acquisition unit 12, the selection unit 14, and the proposal unit 15, but also functions other than those functions (preference information, as will be described later). function to create data, function to predict measured values of environmental elements, etc.). The program may be recorded in advance in the memory of the computer system, may be provided through an electric communication line, or may be recorded in a non-temporary recording medium such as a computer system-readable memory card, optical disk, or hard disk drive. may be provided. A processor in a computer system consists of one or more electronic circuits, including semiconductor integrated circuits (ICs) or large scale integrated circuits (LSIs). The integrated circuit such as IC or LSI referred to here is called differently depending on the degree of integration, and includes integrated circuits called system LSI, VLSI (Very Large Scale Integration), or ULSI (Ultra Large Scale Integration). Furthermore, an FPGA (Field-Programmable Gate Array), which is programmed after the LSI is manufactured, or a logic device capable of reconfiguring the bonding relationship inside the LSI or reconfiguring the circuit partitions inside the LSI, shall also be adopted as the processor. can be done. A plurality of electronic circuits may be integrated into one chip, or may be distributed over a plurality of chips. A plurality of chips may be integrated in one device, or may be distributed in a plurality of devices. A computer system, as used herein, includes a microcontroller having one or more processors and one or more memories. Accordingly, the microcontroller also consists of one or more electronic circuits including semiconductor integrated circuits or large scale integrated circuits.
 第1取得部11は、環境情報データベース6にアクセスし、環境情報データベース6に登録されている各センサ装置2の複数種類の環境要因の測定値を取得する。具体的には、第1取得部11は、環境情報データベース6の制御装置に指令を与え、制御装置を通じて、環境情報データベース6の補助記憶装置に記憶されている複数種類の環境要因の測定値を読み出す(取得する)。 The first acquisition unit 11 accesses the environment information database 6 and acquires measured values of multiple types of environmental factors of each sensor device 2 registered in the environment information database 6 . Specifically, the first acquisition unit 11 gives a command to the control device of the environment information database 6, and acquires the measured values of the multiple types of environmental factors stored in the auxiliary storage device of the environment information database 6 through the control device. read (obtain).
 第2取得部12は、位置情報データベース7にアクセスし、位置情報データベース7に登録されている各発信器4の位置情報を取得する。具体的には、第2取得部12は、位置情報データベース7の制御装置に指令を与え、制御装置を通じて、位置情報データベース7の補助記憶装置に記憶されている各発信器4の位置情報を読み出す(取得する)。 The second acquisition unit 12 accesses the position information database 7 and acquires the position information of each transmitter 4 registered in the position information database 7. Specifically, the second acquisition unit 12 gives a command to the control device of the position information database 7, and reads the position information of each transmitter 4 stored in the auxiliary storage device of the position information database 7 through the control device. (get).
 選択部14は、滞在場所の提案の対象とする利用者について、当該利用者の嗜好情報と各滞在場所の環境情報の類似度を求める。なお、類似度を求める具体的な方法については、後述する。選択部14は、類似度に基づいて、複数の滞在場所の中から、利用者の嗜好に適していると推定される1つ以上の滞在場所を選択する。 The selection unit 14 obtains the degree of similarity between the user's preference information and the environmental information of each place of stay for the user whose place of stay is to be proposed. A specific method for obtaining the degree of similarity will be described later. The selection unit 14 selects one or more places of stay estimated to be suitable for the user's preference from among the plurality of places of stay based on the degree of similarity.
 提案部15は、選択部14が選択した1つ以上の滞在場所を利用者に提案する。例えば、提案部15は、選択部14が選択した1つ以上の滞在場所を示す情報(該当する滞在場所の地図上の位置、あるいは、滞在場所ごとに付けられた固有の符号など)を、各利用者が視認可能な場所に設置された表示装置に表示させる。表示装置は、例えば、通信機能を搭載したタブレット端末などである。 The proposal unit 15 proposes one or more places of stay selected by the selection unit 14 to the user. For example, the proposal unit 15 sends information indicating one or more places of stay selected by the selection unit 14 (the position of the corresponding place of stay on a map, or a unique code attached to each place of stay, etc.) to each The information is displayed on a display device installed in a place where the user can visually recognize it. The display device is, for example, a tablet terminal equipped with a communication function.
 また、提案部15は、提案する滞在場所を示す情報とともに、提案する滞在場所の環境情報(例えば、各環境要因の直近の測定値)を表示装置に表示させても構わない。あるいは、提案部15は、提案する滞在場所を示す情報を、各利用者が携帯するスマートフォンの画面に表示させても構わない。しかして、提案部15は、有線LAN又は無線LANを利用して表示装置又は利用者のスマートフォンとデータ通信を行うことにより、提案する滞在場所を示す情報などを表示装置又はスマートフォンに表示させる。 In addition, the proposal unit 15 may cause the display device to display the environmental information (for example, the latest measured values of each environmental factor) of the proposed stay place together with the information indicating the proposed stay place. Alternatively, the proposal unit 15 may display information indicating the proposed stay place on the screen of the smartphone carried by each user. Thus, the proposal unit 15 performs data communication with the display device or the user's smart phone using a wired LAN or wireless LAN, thereby causing the display device or the smart phone to display information indicating a proposed place of stay or the like.
 (3)実施形態に係る滞在場所提案システムの動作
 次に、滞在場所提案システム1の具体的な動作を説明する。
(3) Operation of Staying Place Proposal System According to Embodiment Next, a specific operation of the staying place proposing system 1 will be described.
 (3-1)滞在場所の説明
 図4は、複数の滞在場所の見取図である。複数の滞在場所は、オフィスビルの1フロアを16分割して形成されている。ただし、個々の滞在場所の間に壁又は間仕切りなどが設置されていてもよいし、設置されていなくてもよい。
(3-1) Description of Places of Stay FIG. 4 is a sketch of a plurality of places of stay. A plurality of places to stay are formed by dividing one floor of an office building into 16 sections. However, walls or partitions may be installed between individual staying places, or may not be installed.
 ここで、それぞれの滞在場所を特定するため、図4における縦4列をA列、B列、C列、D列と表し、横4行を1行、2行、3行、4行と表す。したがって、各滞在場所は、A1~A4、B1~B4、C1~C4、D1~D4と表記することができる。 Here, in order to specify each place of stay, the vertical four columns in FIG. . Therefore, each staying place can be denoted as A1-A4, B1-B4, C1-C4, D1-D4.
 図4に示すように、すべての滞在場所にセンサ装置2とスキャナ3が1つずつ設置されている。ただし、1以上の滞在場所に複数のセンサ装置2及びスキャナ3が設置されても構わない。 As shown in FIG. 4, one sensor device 2 and one scanner 3 are installed at each place of stay. However, a plurality of sensor devices 2 and scanners 3 may be installed at one or more places of stay.
 滞在場所A1、A2、B1、B2の境界点、滞在場所A3、A4、B3、B4の境界点、滞在場所C1、C2、D1、D2の境界点、及び滞在場所C3、C4、D3、D4の境界点のそれぞれの天井に照明器具81が1台ずつ設置されている。また、滞在場所A1、A4、D1、D4には、冷暖房、除湿、換気などを行うための空調設備80が1台ずつ設置されている。さらに、滞在場所A2、B3、C2、D3には、タブレット端末からなる表示装置82が1台ずつ設置されている。なお、滞在場所A1、B1、C1、D1の外向き(図4における上向き)の壁と、滞在場所A4、B4、C4、D4の外向き(図4における下向き)の壁に、それぞれ窓が設けられている。つまり、これらの滞在場所には、時間帯によって窓を通して外光(日光)が差し込む場合がある。そのため、16の滞在場所における環境要因は一律ではなく、日時及び天候によって変化する。 Boundary points of places of stay A1, A2, B1 and B2, boundary points of places of stay A3, A4, B3 and B4, boundary points of places of stay C1, C2, D1 and D2, and boundaries of places of stay C3, C4, D3 and D4 One lighting fixture 81 is installed on each ceiling of the boundary point. In addition, one unit of air conditioning equipment 80 for performing cooling/heating, dehumidification, ventilation, etc. is installed in each of the places of stay A1, A4, D1, and D4. Furthermore, one display device 82 comprising a tablet terminal is installed at each of the places of stay A2, B3, C2, and D3. Windows are provided in the outward (upward in FIG. 4) walls of the staying places A1, B1, C1, and D1 and in the outward (downward in FIG. 4) walls of the staying places A4, B4, C4, and D4. It is In other words, depending on the time of day, outside light (sunlight) may enter these places of stay through the windows. Therefore, the environmental factors at the 16 places of stay are not uniform and change depending on the time of day and the weather.
 (3-2)利用者の嗜好情報を取得する動作
 まず、滞在場所提案システム1において、複数の利用者のそれぞれの嗜好情報を取得して記憶部13に記憶する動作を説明する。
(3-2) Operation of Acquiring User's Preference Information First, the operation of acquiring preference information of each of a plurality of users and storing it in the storage unit 13 in the place-to-stay proposal system 1 will be described.
 複数の利用者は、図4に示すフリーアドレスのオフィスで働く従業員である。各利用者は、1日の勤務時間(例えば、9時から17時までの時間)内において、自由に滞在場所を変更することができる。 A plurality of users are employees working in the free address office shown in FIG. Each user can freely change the place of stay during the working hours of the day (for example, from 9:00 to 17:00).
 処理ユニット10は、一定期間(数週間から数か月間)に環境情報データベース6に蓄積された各環境要因の測定値と位置情報データベース7に蓄積された各利用者の位置情報とに基づいて、利用者ごとの嗜好情報を取得する。 Based on the measured values of each environmental factor accumulated in the environment information database 6 and the position information of each user accumulated in the position information database 7 for a certain period of time (several weeks to several months), the processing unit 10: Acquire preference information for each user.
 例えば、処理ユニット10は、勤務時間を1時間ごとに複数の時間帯に区切り、各時間帯において利用者が滞在したすべての滞在場所の環境要因の計測値の平均値を環境要因の種類ごとに算出する。そして、処理ユニット10は、各環境要因について複数の時間帯及び複数の利用者ごとに算出した測定値の平均値を、それぞれの時間帯における各利用者の嗜好情報として記憶部13に記憶させる。つまり、記憶部13は、複数の利用者のそれぞれの利用者IDに対応付けて、温度、湿度、照度、騒音レベル及び二酸化炭素濃度のそれぞれの測定値の時間帯ごとの平均値を、各々の利用者の嗜好情報として記憶する。 For example, the processing unit 10 divides the working hours into a plurality of time zones for each hour, and calculates the average value of the measured values of the environmental factors of all the places where the user stayed in each time zone for each type of environmental factor. calculate. Then, the processing unit 10 causes the storage unit 13 to store the average value of the measured values calculated for each of the plurality of time periods and the plurality of users for each environmental factor as the preference information of each user in each time period. That is, the storage unit 13 associates the user IDs of the plurality of users with the average values of the measured values of the temperature, humidity, illuminance, noise level, and carbon dioxide concentration for each time period. Stored as user preference information.
 なお、処理ユニット10は、各環境要因の測定値のうちの最頻値を、それぞれの環境要因の好適値に採用してもよい。あるいは、処理ユニット10は、各環境要因の測定値の中から頻度の少ない測定値を除いた残りの測定値の相加平均を求め、その平均値をそれぞれの環境要因の好適値に採用してもよい。 Note that the processing unit 10 may adopt the most frequent value among the measured values of each environmental factor as the preferred value of each environmental factor. Alternatively, the processing unit 10 obtains the arithmetic mean of the remaining measured values of each environmental factor after excluding infrequently measured values, and adopts the average value as the preferred value of each environmental factor. good too.
 (3-3)利用者の滞在場所を提案する動作
 次に、滞在場所提案システム1が利用者に対して滞在場所を提案する動作を説明する。
(3-3) Operation of Proposing a Place of Stay for the User Next, an operation of proposing a place of stay to the user by the system 1 for proposing a place of stay will be described.
 滞在場所提案システム1は、表示装置82が設置されている滞在場所A2、A4、B3及びC3のいずれかにおいて、新たに利用者(発信器4)が検出されたときに当該利用者に対して滞在場所を提案するための動作を開始する。 When a new user (transmitter 4) is detected in any of the staying places A2, A4, B3 and C3 where the display device 82 is installed, the staying place proposal system 1 sends a message to the user Start an action to suggest a place to stay.
 まず、処理ユニット10の第2取得部12が、提案対象である利用者の利用者IDを位置情報データベース7から取得し、取得した利用者IDを選択部14に渡す。選択部14は、第2取得部12から受け取った利用者IDに対応付けられた嗜好情報のうち、利用者に対する滞在場所の提案の動作を開始した時刻(以下、開始時刻と略す。)が属する時間帯の嗜好情報を記憶部13から取得する。さらに、選択部14は、第1取得部11を通じて、開始時刻が属する時間帯における各滞在場所の環境情報を環境情報データベース6から取得する。 First, the second acquisition section 12 of the processing unit 10 acquires the user ID of the user to be proposed from the location information database 7 and passes the acquired user ID to the selection section 14 . The selection unit 14 selects the time (hereinafter, abbreviated as start time) at which the operation of suggesting a place to stay for the user belongs among the preference information associated with the user ID received from the second acquisition unit 12. Time zone preference information is acquired from the storage unit 13 . Further, the selection unit 14 acquires, from the environment information database 6, the environment information of each place of stay in the time zone to which the start time belongs, through the first acquisition unit 11 .
 続いて、選択部14は、利用者の嗜好情報と各滞在場所の環境情報の類似度を求める。本実施形態において、選択部14は、嗜好情報に含まれる複数種類の環境要因のそれぞれの好適値と、環境情報に含まれる複数種類の環境要因のそれぞれの測定値とのユークリッド距離D(x,y)を算出する。ユークリッド距離D(x,y)は、下記の式によって算出される。 Next, the selection unit 14 obtains the degree of similarity between the user's preference information and the environmental information of each place of stay. In this embodiment, the selection unit 14 determines the Euclidean distance D(x, y) is calculated. The Euclidean distance D(x, y) is calculated by the following formula.
Figure JPOXMLDOC01-appb-M000001
Figure JPOXMLDOC01-appb-M000001
 ただし、x(i=1、2、3、4、5)は、任意の時刻における各環境要因(温度、湿度、照度、騒音レベル、二酸化炭素濃度)の好適値である。y(i=1、2、3、4、5)は、任意の時刻における各環境要因(温度、湿度、照度、騒音レベル、二酸化炭素濃度)の測定値である。w(i=1、2、3、4、5)は、任意の時刻における各環境要因(温度、湿度、照度、騒音レベル、二酸化炭素濃度)の重みであり、0から1までの値である。なお、環境要因ごとの重みwは、測定値の時間帯ごとの平均値のばらつき(標準偏差)が小さいほど大きくされる。例えば、騒音レベルは日による変化量が大きいために重みwが小さくされ、温度は日による変動が比較的に小さいために重みwが大きくされる。このように類似度(ユークリッド距離)を算出する際に、各環境要因の測定値の平均値のばらつきに応じた重み付けを行うことにより、各環境要因の変動の影響を低減することができる。 However, x i (i=1, 2, 3, 4, 5) is the preferred value of each environmental factor (temperature, humidity, illuminance, noise level, carbon dioxide concentration) at an arbitrary time. y i (i=1, 2, 3, 4, 5) are the measured values of each environmental factor (temperature, humidity, illuminance, noise level, carbon dioxide concentration) at arbitrary time. w i (i = 1, 2, 3, 4, 5) is the weight of each environmental factor (temperature, humidity, illuminance, noise level, carbon dioxide concentration) at an arbitrary time, and is a value from 0 to 1 be. The weight wi for each environmental factor is increased as the variation (standard deviation) of the average value of the measured values for each time period is smaller. For example, the noise level has a large daily variation, so the weight wi is small, and the temperature has a relatively small daily variation, so the weight wi is large. When calculating the degree of similarity (Euclidean distance) in this way, by weighting according to the variation in the average value of the measured values of each environmental factor, it is possible to reduce the influence of fluctuations in each environmental factor.
 しかして、嗜好情報に含まれる複数種類の環境要因のそれぞれの好適値と、環境情報に含まれる複数種類の環境要因のそれぞれの測定値との類似度は、前記式で算出するユークリッド距離が小さいほど、高くなる。選択部14は、16の滞在場所A1、…、D4のうち、利用者の嗜好情報と環境情報の類似度が最も高い滞在場所(例えば、滞在場所B1)を選択する。そして、選択部14は、選択した滞在場所の位置情報を提案部15に渡す。 Therefore, the similarity between the preferred value of each of the plurality of types of environmental factors included in the preference information and the measured value of each of the plurality of types of environmental factors included in the environment information has a small Euclidean distance calculated by the above formula. the higher the The selection unit 14 selects a place of stay (for example, place of stay B1) having the highest degree of similarity between the user's preference information and the environment information from among the 16 places of stay A1, . . . , D4. Then, the selection unit 14 passes the position information of the selected place of stay to the proposal unit 15 .
 提案部15は、選択部14が選択した滞在場所B1の位置をピンP1で示したレイアウト図G1と、利用者の嗜好情報の概略を表した表T1とを含む提案用の画面を作成する(図5参照)。そして、提案部15は、作成した提案用の画面を表示するためのデータを、開始時刻に利用者が滞在していた滞在場所に設置されている表示装置82に送信する。 The proposal unit 15 creates a screen for proposal including a layout diagram G1 in which the position of the place of stay B1 selected by the selection unit 14 is indicated by a pin P1, and a table T1 outlining user preference information ( See Figure 5). Then, the proposal unit 15 transmits the data for displaying the created proposal screen to the display device 82 installed at the place where the user was staying at the start time.
 表示装置82は、提案部15から受信するデータに基づいて、レイアウト図G1と表T1を含む提案用の画面を、液晶ディスプレイなどの表示デバイスに表示させる。利用者は、表示装置82が表示する提案用の画面を見て、滞在場所提案システム1から提案された滞在場所B1を知ることができる。なお、提案部15は、選択部14が選択した滞在場所における環境情報(温度、湿度、照度、騒音レベル、二酸化炭素濃度)を利用者に提示しても構わない。 The display device 82 causes a display device such as a liquid crystal display to display a proposal screen including the layout chart G1 and the table T1 based on the data received from the proposal unit 15 . The user can know the place of stay B1 proposed by the place-of-stay proposal system 1 by looking at the screen for suggestion displayed by the display device 82 . Note that the proposal unit 15 may present environmental information (temperature, humidity, illuminance, noise level, carbon dioxide concentration) of the place of stay selected by the selection unit 14 to the user.
 上述のように滞在場所提案システム1は、複数種類の環境要因に対する利用者の嗜好情報に基づいて、利用者の嗜好に適した滞在場所を提案する。そのため、滞在場所提案システム1は、1種類の環境要因(温度)のみに基づいて利用者に座席を提案する従来例に比べて、より利用者の嗜好に適した滞在場所を提案することができる。 As described above, the stay place proposal system 1 proposes a stay place suitable for the user's preferences based on the user's preference information for multiple types of environmental factors. Therefore, the place-to-stay proposal system 1 can propose a place to stay more suitable for the taste of the user than in the conventional example that proposes a seat to the user based on only one type of environmental factor (temperature). .
 ここで、滞在場所提案システム1は、滞在場所を有する建物(オフィスビル)に存在してもよいし、建物から離れた場所に存在してもよい。一方、情報収集サーバ5、環境情報データベース6、及び位置情報データベース7は、建物に存在することが好ましい。滞在場所提案システム1が建物から離れた場所に存在する場合、滞在場所提案システム1は、インターネットなどの広域ネットワーク(WAN)を介して環境情報データベース6及び位置情報データベース7と通信するように構成される。なお、滞在場所提案システム1は、情報収集サーバ5、環境情報データベース6、及び位置情報データベース7を構成要素に含んでもよい。滞在場所提案システム1は、センサ装置2、スキャナ3、発信器4の少なくともいずれかを更に構成要素に含んでもよい。 Here, the place-of-stay proposal system 1 may exist in the building (office building) having the place of stay, or may exist in a place away from the building. On the other hand, the information collection server 5, environment information database 6, and location information database 7 are preferably located in a building. When the stay place proposal system 1 exists in a place away from the building, the stay place proposal system 1 is configured to communicate with the environmental information database 6 and the position information database 7 via a wide area network (WAN) such as the Internet. be. The place-of-stay proposal system 1 may include the information collection server 5, the environment information database 6, and the location information database 7 as components. The place-of-stay proposal system 1 may further include at least one of the sensor device 2, the scanner 3, and the transmitter 4 as further components.
 (4)滞在場所提案システムの変形例
 以下、滞在場所提案システム1の幾つかの変形例を説明する。ただし、以下に説明する各変形例の滞在場所提案システム1の構成は、実施形態の滞在場所提案システム1の構成と共通である。したがって、各変形例の滞在場所提案システム1の構成の図示は省略する。
(4) Modifications of Place of Stay Proposal System Several modifications of the place of stay proposal system 1 will be described below. However, the configuration of the place-of-stay proposal system 1 of each modified example described below is common to the configuration of the place-of-stay proposal system 1 of the embodiment. Therefore, illustration of the configuration of the stay place proposal system 1 of each modified example is omitted.
 (4-1)変形例1
 変形例1の滞在場所提案システム1(以下、変形例1と略す。)は、利用者に対して滞在場所を提案する動作が実施形態と異なる。変形例1では、環境情報データベース6に蓄積された環境情報を用いて、直近数日間における時間帯ごとの環境要因の平均値から当日の環境要因の時間変化を予測し、時刻帯ごとの嗜好情報と予測した環境情報の類似度を算出する。
(4-1) Modification 1
A staying place proposal system 1 of Modified Example 1 (hereinafter abbreviated as Modified Example 1) differs from the embodiment in the operation of proposing a staying place to a user. In Modified Example 1, the environment information accumulated in the environment information database 6 is used to predict the time change of the environmental factors for the current day from the average value of the environmental factors for each time period in the last several days, and the preference information for each time period is obtained. Then, the similarity of the predicted environment information is calculated.
 変形例1における処理ユニット10は、1日の時間帯ごと及び滞在場所ごとに、それぞれの環境要因の予測値を算出し、算出した予測値を記憶部13に記憶させる。ここで、処理ユニット10は、定期的(例えば、毎日の始業前)に、直近の数日間(例えば、前日を含む過去5日間)の環境情報を環境情報データベース6から取得し、取得した過去の環境情報から各環境要因の予測値を算出することが好ましい。 The processing unit 10 in Modification 1 calculates the predicted value of each environmental factor for each time period of the day and for each place of stay, and stores the calculated predicted value in the storage unit 13 . Here, the processing unit 10 periodically (for example, before starting work each day) acquires environmental information for the last few days (for example, the past five days including the previous day) from the environment information database 6, It is preferable to calculate the predicted value of each environmental factor from the environmental information.
 例えば、処理ユニット10は、直近の数日間における滞在場所ごとの温度、湿度、照度、騒音レベル、二酸化炭素濃度のそれぞれの測定値について、9時から17時までの1時間ごとの各時間帯における平均値(相加平均の平均値)を求める。そして、処理ユニット10は、各滞在場所及び各時間帯における、温度、湿度、照度、騒音レベル、二酸化炭素濃度のそれぞれの平均値を、各環境要素の予測値として環境情報データベース6に登録する。 For example, the processing unit 10 measures the temperature, humidity, illuminance, noise level, and carbon dioxide concentration at each place of stay in the last few days, every hour from 9:00 to 17:00 Calculate the average value (average value of arithmetic mean). Then, the processing unit 10 registers the average values of the temperature, humidity, illuminance, noise level, and carbon dioxide concentration in each place of stay and each time period in the environment information database 6 as predicted values of each environmental element.
 しかして、処理ユニット10の選択部14は、利用者の嗜好情報と、環境情報データベース6に登録されている各滞在場所及び各時間帯における環境要因の予測値との類似度(ユークリッド距離)を求める。選択部14は、16の滞在場所A1、…、D4のうち、利用者の嗜好情報と環境情報(予測値)の類似度が最も高い滞在場所を選択する。そして、選択部14が選択した滞在場所の位置情報が提案部15に渡され、提案部15を通じて利用者に提案される。 Thus, the selection unit 14 of the processing unit 10 determines the degree of similarity (Euclidean distance) between the user's preference information and the predicted value of the environmental factor at each place of stay and each time zone registered in the environment information database 6. Ask. The selection unit 14 selects the place of stay having the highest similarity between the user's preference information and the environment information (predicted value) from among the 16 places of stay A1, . . . , D4. Then, the location information of the place of stay selected by the selection unit 14 is passed to the proposal unit 15 and proposed to the user through the proposal unit 15 .
 上述のように変形例1の滞在場所提案システム1によれば、滞在場所の環境情報を予測しておくことにより、利用者の嗜好情報に適した滞在場所を選択するまでの時間の短縮化を図ることができる。 As described above, according to the stay place proposal system 1 of the modified example 1, by predicting the environment information of the stay place, it is possible to shorten the time until the stay place suitable for the user's preference information is selected. can be planned.
 (4-2)変形例2
 変形例2の滞在場所提案システム1(以下、変形例2と略す。)は、時間帯ごとの各環境要素の予測値を求める方法が変形例1と異なる。変形例2における処理ユニット10は、学習済みモデルを用いて時間帯ごとの各環境要素の予測値を求める。学習済みモデルは、機械学習によって生成される。機械学習のアルゴリズムは、例えば、ニューラルネットワーク(Neural Network)である。
(4-2) Modification 2
The place-of-stay proposal system 1 of Modification 2 (hereinafter abbreviated as Modification 2) differs from Modification 1 in the method of obtaining the predicted value of each environmental element for each time zone. The processing unit 10 in Modification 2 obtains the predicted value of each environmental element for each time period using the learned model. A trained model is generated by machine learning. A machine learning algorithm is, for example, a neural network.
 変形例2における処理ユニット10は、例えば、環境情報データベース6に蓄積された数週間分の環境要因の測定値を入力とし、誤差逆伝播法(backpropagation)によって、ニューラルネットワークを構成する関数が持つパラメータについての目的関数の勾配を求める。ただし、処理ユニット10は、入力として、曜日情報及び気象情報(最高気温、最低気温、天候等)を追加しても構わない。なお、機械学習のアルゴリズムは、ニューラルネットワークに限らず、XGB(eXtreme Gradient Boosting)回帰、ランダムフォレスト(Randam Forest)、決定木(decision tree)、ロジスティック回帰(Logistic Regression)、サポートベクトルマシン(SVM:Support vector machine)、単純ベイズ(Naive Bayes)分類器、又はk近傍法(k-nearest neighbors)等であってもよい。さらに、機械学習のアルゴリズムは、混合ガウスモデル(GMM:Gaussian Mixture Model)、又はk平均法(k-means clustering)等であってもよい。また、処理ユニット10で利用する機械学習の学習方法は、教師あり学習及び教師なし学習及び強化学習のいずれであってもよい。 The processing unit 10 in Modification 2 receives, for example, the measured values of the environmental factors for several weeks accumulated in the environmental information database 6, and uses the error backpropagation method to determine the parameters of the functions that make up the neural network. Find the gradient of the objective function for . However, the processing unit 10 may add day-of-the-week information and weather information (maximum temperature, minimum temperature, weather, etc.) as inputs. In addition, machine learning algorithms are not limited to neural networks, XGB (eXtreme Gradient Boosting) regression, random forest, decision tree, logistic regression, support vector machine (SVM) vector machine), Naive Bayes classifier, k-nearest neighbors, or the like. Furthermore, the machine learning algorithm may be Gaussian Mixture Model (GMM), k-means clustering, or the like. Also, the learning method of machine learning used in the processing unit 10 may be any of supervised learning, unsupervised learning, and reinforcement learning.
 変形例2における選択部14は、開始時刻における環境情報を入力とし、上述のようにして求めた学習済みモデルを用いて、各滞在場所及び時間帯の各環境要素の予測値を求める。そして、選択部14は、利用者の嗜好情報と、各滞在場所及び各時間帯における環境要因の予測値との類似度(ユークリッド距離)を求める。選択部14は、16の滞在場所A1、…、D4のうち、利用者の嗜好情報と環境情報(予測値)の類似度が最も高い滞在場所を選択する。そして、選択部14が選択した滞在場所の位置情報が提案部15に渡され、提案部15を通じて利用者に提案される。 The selection unit 14 in Modification 2 uses the environment information at the start time as input, and uses the learned model obtained as described above to obtain the predicted value of each environmental element for each place of stay and time period. Then, the selection unit 14 obtains the degree of similarity (Euclidean distance) between the user's preference information and the predicted value of the environmental factor at each place of stay and each time period. The selection unit 14 selects the place of stay having the highest similarity between the user's preference information and the environment information (predicted value) from among the 16 places of stay A1, . . . , D4. Then, the location information of the place of stay selected by the selection unit 14 is passed to the proposal unit 15 and proposed to the user through the proposal unit 15 .
 上述のように変形例2の滞在場所提案システム1によれば、学習済みモデルを用いて滞在場所の環境情報の予測値を求めることにより、利用者の嗜好情報に適した滞在場所を選択するまでの時間の更なる短縮化を図ることができる。 As described above, according to the stay place proposal system 1 of the modification 2, by obtaining the predicted value of the environmental information of the stay place using the learned model, until the stay place suitable for the user's preference information is selected time can be further shortened.
 (4-3)変形例3
 変形例3の滞在場所提案システム1(以下、変形例3と略す。)は、複数の利用者のそれぞれの嗜好情報(環境要因の好適値)を求める方法が実施形態と異なる。
(4-3) Modification 3
The place-to-stay proposal system 1 of Modification 3 (hereinafter abbreviated as Modification 3) differs from the embodiment in the method of obtaining preference information (preferred values of environmental factors) of each of a plurality of users.
 変形例3における処理ユニット10は、すべての滞在場所における時間帯ごとの各環境要因の測定値の平均値と、利用者の滞在場所における時間帯ごとの各環境要因の測定値の差分を取得する。処理ユニット10は、利用者の滞在場所における時間帯ごとの各環境要因の測定値の差分を平均(相加平均)し、それぞれの平均値を嗜好情報の好適値との差分として記憶部13に記憶させる。さらに、処理ユニット10は、利用者の嗜好情報の好適値との差分を記憶部13から取得し、環境情報データベース6から取得した滞在場所の各環境要因の測定値に、利用者の嗜好情報の好適値との差分を加算することによって各環境要因の好適値を算出する。 The processing unit 10 in Modification 3 acquires the average value of the measured values of each environmental factor for each time zone at all places of stay and the difference between the measured values of each environmental factor for each time zone at the place of stay of the user. . The processing unit 10 averages (arithmetic mean) the differences in the measured values of each environmental factor for each time slot in the place where the user stays, and stores the average values in the storage unit 13 as the differences from the preferred values of the preference information. Memorize. Furthermore, the processing unit 10 acquires the difference between the preferred value of the user's preference information from the storage unit 13, and adds the measured value of each environmental factor of the place of stay acquired from the environment information database 6 to the user's preference information. A preferred value for each environmental factor is calculated by adding the difference from the preferred value.
 しかして、変形例3の滞在場所提案システム1によれば、季節ごとの気候の変化による嗜好情報への影響の低減を図ることができる。 However, according to the stay location proposal system 1 of Modified Example 3, it is possible to reduce the influence of seasonal climate changes on preference information.
 (5)滞在場所提案方法及びプログラム
 実施形態に係る滞在場所提案方法は、利用者が滞在可能な複数の滞在場所A1、…、D4にそれぞれ設置されている1つ以上のセンサ装置2が計測する複数種類の環境要因の計測値を含む環境情報を取得するステップを含む。実施形態に係る滞在場所提案方法は、利用者の位置情報を取得するステップと、複数種類の環境要因に対する利用者の嗜好情報と環境情報の類似度を求め、類似度に基づいて複数の滞在場所の中から1つ以上の滞在場所を選択するステップと、を含む。実施形態に係る滞在場所提案方法は、選択した1つ以上の滞在場所を利用者に提案するステップを含む。
(5) Staying Place Proposing Method and Program In the staying place proposing method according to the embodiment, one or more sensor devices 2 respectively installed at a plurality of staying places A1, . Obtaining environmental information including measurements of multiple types of environmental factors. A method for proposing a place to stay according to an embodiment includes the steps of acquiring location information of a user, determining the degree of similarity between the user's preference information and environmental information for a plurality of types of environmental factors, and determining a plurality of places to stay based on the degree of similarity. and selecting one or more stay locations from among. A method for suggesting a place to stay according to an embodiment includes the step of proposing one or more selected places to stay to a user.
 実施形態に係る滞在場所提案方法は、上述した滞在場所提案システム1によって実行されてもよいし、実施形態に係るプログラム(コンピュータプログラム)を1つ以上のプロセッサに実行させることで実現しても構わない。 The place-to-stay proposal method according to the embodiment may be executed by the above-described place-to-stay proposal system 1, or may be realized by causing one or more processors to execute the program (computer program) according to the embodiment. do not have.
 実施形態に係る滞在場所提案方法及びプログラムによれば、より利用者の嗜好に適した滞在場所を提案することができる。 According to the method and program for suggesting a place to stay according to the embodiment, it is possible to propose a place to stay that is more suitable for the user's taste.
 (6)まとめ
 本開示の第1の態様に係る滞在場所提案システム(1)は、第1取得部(11)と、第2取得部(12)と、記憶部(13)と、選択部(14)と、提案部(15)と、を備える。第1取得部(11)は、利用者が滞在可能な複数の滞在場所にそれぞれ設置されている1つ以上のセンサ装置(2)のそれぞれが計測する複数種類の環境要因の計測値を含む環境情報を取得する。第2取得部(12)は、利用者の位置情報を取得する。記憶部(13)は、複数種類の環境要因に対する利用者の嗜好情報を記憶する。選択部(14)は、環境情報と嗜好情報の類似度を求める。選択部(14)は、類似度に基づいて複数の滞在場所の中から1つ以上の滞在場所を選択する。提案部(15)は、選択部(14)が選択した1つ以上の滞在場所を利用者に提案する。
(6) Summary The place-to-stay proposal system (1) according to the first aspect of the present disclosure includes a first acquisition unit (11), a second acquisition unit (12), a storage unit (13), a selection unit ( 14) and a proposal unit (15). A first acquisition unit (11) acquires an environment including measured values of a plurality of types of environmental factors measured by one or more sensor devices (2) respectively installed at a plurality of places where a user can stay. Get information. A second acquisition unit (12) acquires location information of the user. A storage unit (13) stores user preference information for a plurality of types of environmental factors. A selection unit (14) obtains the degree of similarity between the environment information and the preference information. A selection unit (14) selects one or more places of stay from a plurality of places of stay based on the degree of similarity. A proposal unit (15) proposes to the user one or more places of stay selected by the selection unit (14).
 第1の態様に係る滞在場所提案システム(1)は、1種類の環境要因(温度)のみに基づいて利用者に座席を提案する従来例に比べて、より利用者の嗜好に適した滞在場所を提案することができる。 A place-to-stay proposal system (1) according to a first aspect provides a place to stay that is more suitable for the user's taste than a conventional example that proposes a seat to the user based on only one type of environmental factor (temperature). can be proposed.
 本開示の第2の態様に係る滞在場所提案システム(1)は、第1の態様との組合せにより実現され得る。第2の態様に係る滞在場所提案システム(1)において、選択部(14)は、環境情報に含まれる複数種類の環境要因の計測値と、嗜好情報に含まれる複数種類の環境要因の好適値との、ユークリッド距離によって類似度を求めることが好ましい。 A stay place proposal system (1) according to the second aspect of the present disclosure can be realized by combining with the first aspect. In the place-to-stay proposal system (1) according to the second aspect, the selection unit (14) selects the measured values of the plurality of types of environmental factors included in the environmental information and the preferred values of the plurality of types of environmental factors included in the preference information. It is preferable to obtain the degree of similarity from the Euclidean distance between .
 第2の態様に係る滞在場所提案システム(1)は、類似度を容易に求めることができる。 The place-to-stay proposal system (1) according to the second aspect can easily obtain the degree of similarity.
 本開示の第3の態様に係る滞在場所提案システム(1)は、第2の態様との組合せにより実現され得る。第3の態様に係る滞在場所提案システム(1)において、複数種類の環境要因の好適値は、利用者が滞在した滞在場所における、利用者の滞在中の環境情報に含まれる複数種類の環境要因のそれぞれの測定値を平均することによって求められることが好ましい。 A stay location proposal system (1) according to the third aspect of the present disclosure can be realized by combining with the second aspect. In the stay place proposal system (1) according to the third aspect, the preferred values of the plurality of types of environmental factors are the plurality of types of environmental factors included in the environmental information during the user's stay at the place where the user stayed. is preferably determined by averaging the respective measurements of .
 第3の態様に係る滞在場所提案システム(1)は、複数種類の環境要因の好適値を容易に求めることができる。 The place-to-stay proposal system (1) according to the third aspect can easily obtain suitable values for multiple types of environmental factors.
 本開示の第4の態様に係る滞在場所提案システム(1)は、第1~第3のいずれかの態様との組合せにより実現され得る。第4の態様に係る滞在場所提案システム(1)において、提案部(15)は、選択部(14)が選択した1つ以上の滞在場所における環境情報を利用者に提示することが好ましい。 A stay place proposal system (1) according to the fourth aspect of the present disclosure can be realized by a combination with any one of the first to third aspects. In the stay place proposal system (1) according to the fourth aspect, it is preferable that the proposal unit (15) presents the user with environmental information of one or more stay places selected by the selection unit (14).
 第4の態様に係る滞在場所提案システム(1)は、利用者に対して、提案された滞在場所の環境情報を知らせることができる。 The stay place proposal system (1) according to the fourth aspect can inform the user of the environment information of the proposed stay place.
 本開示の第5の態様に係る滞在場所提案システム(1)は、第1~第4のいずれかの態様との組合せにより実現され得る。第5の態様に係る滞在場所提案システム(1)において、複数種類の環境要因は、滞在場所の温度と、滞在場所の湿度、照度、騒音レベル及び二酸化炭素濃度のうちの少なくとも1つと、を含むことが好ましい。 A stay place proposal system (1) according to the fifth aspect of the present disclosure can be realized by a combination with any one of the first to fourth aspects. In the stay place proposal system (1) according to the fifth aspect, the plurality of types of environmental factors include the temperature of the stay place and at least one of the humidity, illuminance, noise level and carbon dioxide concentration of the stay place. is preferred.
 第5の態様に係る滞在場所提案システム(1)は、利用者の嗜好に細かく対応した滞在場所を提案することができる。 The stay place proposal system (1) according to the fifth aspect can propose a stay place that finely corresponds to the preferences of the user.
 本開示の第6の態様に係る滞在場所提案システム(1)は、第1~第5のいずれかの態様との組合せにより実現され得る。第6の態様に係る滞在場所提案システム(1)において、選択部(14)は、複数種類の環境要因のうちの少なくとも1種類の環境要因の計測値を予測することが好ましい。選択部(14)は、予測した計測値を含む環境情報と嗜好情報の類似度を求めることが好ましい。 A place-to-stay proposal system (1) according to the sixth aspect of the present disclosure can be realized by combining with any one of the first to fifth aspects. In the place-to-stay proposal system (1) according to the sixth aspect, the selection unit (14) preferably predicts the measured value of at least one type of environmental factor among the plurality of types of environmental factors. Preferably, the selection unit (14) obtains the degree of similarity between the environment information including the predicted measured value and the preference information.
 第6の態様に係る滞在場所提案システム(1)は、選択部(14)が予測した計測値(予測値)を含む環境情報と嗜好情報の類似度を求めることにより、利用者の嗜好情報に適した滞在場所を選択するまでの時間の更なる短縮化を図ることができる。 A place-to-stay proposal system (1) according to a sixth aspect obtains the degree of similarity between environment information including a measured value (predicted value) predicted by a selection unit (14) and preference information, thereby It is possible to further shorten the time required to select a suitable place to stay.
 本開示の第7の態様に係る滞在場所提案方法は、利用者が滞在可能な複数の滞在場所にそれぞれ設置されている1つ以上のセンサ装置(2)が計測する複数種類の環境要因の計測値を含む環境情報を取得するステップを含む。第7の態様に係る滞在場所提案方法は、利用者の位置情報を取得するステップと、複数種類の環境要因に対する利用者の嗜好情報と環境情報の類似度を求め、類似度に基づいて複数の滞在場所の中から1つ以上の滞在場所を選択するステップと、を含む。第8の態様に係る滞在場所提案方法は、選択した前記1つ以上の滞在場所を前記利用者に提案するステップを含む。 A staying place proposal method according to a seventh aspect of the present disclosure measures a plurality of types of environmental factors measured by one or more sensor devices (2) respectively installed at a plurality of staying places where a user can stay. It includes obtaining environment information including values. A method of suggesting a place to stay according to a seventh aspect includes a step of acquiring location information of a user; selecting one or more stay locations from among the stay locations. A staying place proposal method according to an eighth aspect includes the step of proposing the selected one or more staying places to the user.
 第7の態様に係る滞在場所提案方法は、1種類の環境要因(温度)のみに基づいて利用者に座席を提案する従来例に比べて、より利用者の嗜好に適した滞在場所を提案することができる。 A staying place proposal method according to a seventh aspect proposes a staying place more suitable for the user's preference than the conventional example of suggesting a seat to the user based on only one type of environmental factor (temperature). be able to.
 本開示の第8の態様に係るプログラムは、1以上のプロセッサに、第7の態様に係る滞在場所提案方法を実行させる。 A program according to the eighth aspect of the present disclosure causes one or more processors to execute the method of suggesting a place to stay according to the seventh aspect.
 第8の態様に係るプログラムは、1種類の環境要因(温度)のみに基づいて利用者に座席を提案する従来例に比べて、より利用者の嗜好に適した滞在場所を提案することができる。 The program according to the eighth aspect can propose a place to stay more suitable for the user's preference than the conventional example that proposes a seat to the user based on only one type of environmental factor (temperature). .
 1 滞在場所提案システム
 2 センサ装置
 11 第1取得部
 12 第2取得部
 13 記憶部
 14 選択部
 15 提案部
1 Place of Stay Proposal System 2 Sensor Device 11 First Acquisition Unit 12 Second Acquisition Unit 13 Storage Unit 14 Selection Unit 15 Proposal Unit

Claims (8)

  1.  利用者が滞在可能な複数の滞在場所にそれぞれ設置されている1つ以上のセンサ装置のそれぞれが計測する複数種類の環境要因の計測値を含む環境情報を取得する第1取得部と、
     前記利用者の位置情報を取得する第2取得部と、
     前記複数種類の環境要因に対する前記利用者の嗜好情報を記憶する記憶部と、
     前記環境情報と前記嗜好情報の類似度を求め、前記類似度に基づいて前記複数の滞在場所の中から1つ以上の滞在場所を選択する選択部と、
     前記選択部が選択した前記1つ以上の滞在場所を前記利用者に提案する提案部と、
    を備える、
    滞在場所提案システム。
    a first acquisition unit that acquires environmental information including measurement values of a plurality of types of environmental factors measured by one or more sensor devices respectively installed at a plurality of places where a user can stay;
    a second acquisition unit that acquires the location information of the user;
    a storage unit that stores the user's preference information for the plurality of types of environmental factors;
    a selection unit that obtains a degree of similarity between the environment information and the preference information and selects one or more places of stay from among the plurality of places of stay based on the degree of similarity;
    a proposal unit that proposes the one or more places of stay selected by the selection unit to the user;
    comprising a
    Stay place suggestion system.
  2.  前記選択部は、前記環境情報に含まれる前記複数種類の環境要因の計測値と、前記嗜好情報に含まれる前記複数種類の環境要因の好適値との、ユークリッド距離によって前記類似度を求める、
    請求項1記載の滞在場所提案システム。
    The selection unit obtains the similarity by Euclidean distance between the measured values of the plurality of types of environmental factors included in the environment information and the preferred values of the plurality of types of environmental factors included in the preference information.
    The staying place proposal system according to claim 1.
  3.  前記複数種類の環境要因の好適値は、前記利用者が滞在した前記滞在場所における、前記利用者の滞在中の前記環境情報に含まれる前記複数種類の環境要因のそれぞれの測定値を平均することによって求められる、
    請求項2記載の滞在場所提案システム。
    The preferred values of the plurality of types of environmental factors are obtained by averaging respective measured values of the plurality of types of environmental factors included in the environmental information during the stay of the user at the place of stay where the user stayed. sought by
    A staying place proposal system according to claim 2.
  4.  前記提案部は、前記選択部が選択した前記1つ以上の滞在場所における前記環境情報を前記利用者に提示する、
    請求項1~3のいずれか1項に記載の滞在場所提案システム。
    The proposing unit presents the user with the environmental information at the one or more places of stay selected by the selecting unit;
    A staying place proposal system according to any one of claims 1 to 3.
  5.  前記複数種類の環境要因は、前記滞在場所の温度と、前記滞在場所の湿度、照度、騒音レベル及び二酸化炭素濃度のうちの少なくとも1つと、を含む、
    請求項1~4のいずれか1項に記載の滞在場所提案システム。
    The plurality of types of environmental factors include temperature of the place of stay and at least one of humidity, illuminance, noise level and carbon dioxide concentration of the place of stay,
    A staying place proposal system according to any one of claims 1 to 4.
  6.  前記選択部は、前記複数種類の環境要因のうちの少なくとも1種類の環境要因の前記計測値を予測し、予測した前記計測値を含む前記環境情報と前記嗜好情報の類似度を求める、
    請求項1~5のいずれか1項に記載の滞在場所提案システム。
    The selection unit predicts the measured value of at least one type of environmental factor among the plurality of types of environmental factors, and obtains a degree of similarity between the environmental information including the predicted measured value and the preference information.
    A staying place proposal system according to any one of claims 1 to 5.
  7.  利用者が滞在可能な複数の滞在場所にそれぞれ設置されている1つ以上のセンサ装置が計測する複数種類の環境要因の計測値を含む環境情報を取得するステップと、
     前記利用者の位置情報を取得するステップと、
     前記複数種類の環境要因に対する前記利用者の嗜好情報と前記環境情報の類似度を求め、前記類似度に基づいて前記複数の滞在場所の中から1つ以上の滞在場所を選択するステップと、
     選択した前記1つ以上の滞在場所を前記利用者に提案するステップと、
    を含む、
    滞在場所提案方法。
    a step of acquiring environmental information including measurement values of a plurality of types of environmental factors measured by one or more sensor devices installed at each of a plurality of places where the user can stay;
    obtaining location information of the user;
    obtaining a degree of similarity between the user's preference information and the environment information for the plurality of types of environmental factors, and selecting one or more places of stay from among the plurality of places of stay based on the degree of similarity;
    suggesting the selected one or more places of stay to the user;
    including,
    How to suggest a place to stay.
  8.  1以上のプロセッサに、
     請求項7記載の滞在場所提案方法を実行させる、
    プログラム。
    to one or more processors;
    executing the method of suggesting a place to stay according to claim 7;
    program.
PCT/JP2021/048620 2021-02-26 2021-12-27 Stay location proposal system, stay location proposal method, and program WO2022181043A1 (en)

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Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2011022716A (en) * 2009-07-14 2011-02-03 Shimizu Corp Building management system
JP2011187030A (en) * 2010-03-11 2011-09-22 Omron Corp Environmental information providing device, cooperation system of the same, environmental information providing method, and display device
JP2011197904A (en) * 2010-03-18 2011-10-06 Toshiba Corp Energy-saving advice generation device
US20170161646A1 (en) * 2015-12-03 2017-06-08 International Business Machines Corporation Relocation of users based on user preferences

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2011022716A (en) * 2009-07-14 2011-02-03 Shimizu Corp Building management system
JP2011187030A (en) * 2010-03-11 2011-09-22 Omron Corp Environmental information providing device, cooperation system of the same, environmental information providing method, and display device
JP2011197904A (en) * 2010-03-18 2011-10-06 Toshiba Corp Energy-saving advice generation device
US20170161646A1 (en) * 2015-12-03 2017-06-08 International Business Machines Corporation Relocation of users based on user preferences

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