WO2018037584A1 - Information processing device and program - Google Patents

Information processing device and program Download PDF

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Publication number
WO2018037584A1
WO2018037584A1 PCT/JP2017/000292 JP2017000292W WO2018037584A1 WO 2018037584 A1 WO2018037584 A1 WO 2018037584A1 JP 2017000292 W JP2017000292 W JP 2017000292W WO 2018037584 A1 WO2018037584 A1 WO 2018037584A1
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Prior art keywords
user
preference
information
processing apparatus
environment
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PCT/JP2017/000292
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French (fr)
Japanese (ja)
Inventor
恵大 太田
朋興 浮穴
利宏 妻鹿
宗佑 南田
佐藤　健二
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三菱電機株式会社
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Publication of WO2018037584A1 publication Critical patent/WO2018037584A1/en

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION 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
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor

Definitions

  • the present invention relates to an information processing apparatus and program, and more particularly, to acquisition of user preference information used for calculation of comfort level of an air-conditioning environment.
  • the temperature in a building such as a building or a house is controlled by an air conditioning system so that a user in the building can spend comfortably.
  • an air conditioning system it is not certain whether the temperature set by the air conditioning system feels comfortable due to differences in the user's constitution.
  • Patent Document 1 a technique for improving comfort has been proposed (for example, Patent Document 1).
  • preference for temperature setting for example, preferring a lower temperature setting because it is hot, or prefering a higher temperature setting because it is cold, is a certain degree determined by the user and does not change frequently. .
  • An object of the present invention is to estimate a user's preference for temperature based on information obtained from the user or an environment where the user is located without causing the user to input.
  • An information processing apparatus includes a user preference generation unit that acquires characteristic information about a user's temperature or a human body, generates a preference information of the user by estimating a preference for each user's air conditioning environment based on the characteristic information, and And a comfort level information generating unit that generates comfort level information indicating comfort in the air conditioning environment of the user based on the environmental data representing the status of the air conditioning environment and the preference information.
  • the user's preference for the temperature can be estimated based on information obtained from the user or the environment where the user is located without causing the user to input.
  • FIG. 2 is a hardware configuration diagram of a computer that forms the information processing apparatus according to the first embodiment.
  • FIG. 10 is a block configuration diagram of an information processing device in a third embodiment.
  • FIG. 1 is a block diagram showing an embodiment of an information processing apparatus according to the present invention.
  • the information processing apparatus 10 according to the present embodiment can be realized by a general-purpose computer such as a personal computer (PC).
  • PC personal computer
  • FIG. 2 is a hardware configuration diagram of a computer forming the information processing apparatus 10 according to the present embodiment.
  • the information processing apparatus 10 according to the present embodiment is connected to a CPU 21, a ROM 22, a RAM 23, a hard disk drive (HDD) 24, a mouse 25 and a keyboard 26 provided as input means, and a display 27 provided as a display device.
  • An output controller 28 and a network controller 29 provided as communication means are connected to an internal bus 30.
  • the information processing apparatus 10 includes an environment data acquisition unit 11, a user preference generation unit 12, a comfort level information generation unit 13, a display unit 14, an attribute information storage unit 15, and a preference information storage unit 16. .
  • the environmental data acquisition unit 11 acquires environmental data representing the status of the air conditioning environment.
  • the “air-conditioning environment” refers to an environment related to temperature in a space such as a room whose temperature is controlled by air-conditioning control by the air-conditioning system.
  • “Environmental data” is objective data representing the status of an air-conditioning environment measured by various sensors such as temperature, humidity, average wind speed, standard deviation of wind speed, and average radiation temperature, or obtained by calculation.
  • the user preference generation unit 12 estimates each user's preference for the air-conditioning environment based on the acquisition means for acquiring the user's temperature or characteristic information about the human body and the characteristic information, generates the user's preference information, and the preference information storage unit 16 It functions as a user preference estimation means to be registered.
  • the “taste information” for example, information such as a temperature-related preference (hot or cold), a temperature / wind speed preference (coolness), a humidity preference (dry skin), an activity amount, and a clothing amount are used.
  • the coolness and dry skin may depend on the characteristics of the human body rather than the user's preferences, but unlike objective information such as attribute information described later, For this reason, in this embodiment, it is handled by including it in preference information, not attribute information.
  • the comfort level information generation unit 13 is based on the environment data acquired by the environment data acquisition unit 11, the attribute information of the user for which the comfort level information is generated, and the user preference information generated by the user preference generation unit 12. It functions as comfort level information generating means for generating comfort level information indicating comfort in an air-conditioned environment.
  • the display unit 14 displays the comfort level information generated by the comfort level information generation unit 13 on the display 27.
  • Attribute information of each user is set in the attribute information storage unit 15 in advance.
  • information such as age, sex, height, weight, body fat percentage, seat position information, and the like is used as “attribute information”.
  • Each of the components 11 to 14 in the information processing apparatus 10 is realized by a cooperative operation of a computer that forms the information processing apparatus 10 and a program that operates on the CPU 21 mounted on the computer.
  • the storage units 15 and 16 are realized by the HDD 24 mounted in the information processing apparatus 10.
  • the RAM 23 or an external storage means may be used via a network.
  • the program used in this embodiment can be provided not only by communication means but also by storing it in a computer-readable recording medium such as a CD-ROM or USB memory.
  • the program provided from the communication means or the recording medium is installed in the computer, and various processes are realized by the CPU of the computer sequentially executing the program.
  • comfort level information is generated for each user, and each user performs the same processing.
  • the environmental data acquisition unit 11 periodically acquires environmental data from an air conditioning system or the like.
  • the process of generating the comfort level information is performed every time the environmental data is periodically acquired. Is started and executed.
  • the comfort level information generation unit 13 acquires environmental data from the environmental data acquisition unit 11 when activated. Further, the comfort level information generation unit 13 reads out and acquires the attribute information and preference information of the user whose comfort level information is to be generated from each of the storage units 15 and 16.
  • the comfort level information generation unit 13 calculates the comfort level according to a predetermined calculation formula as shown below.
  • Comfort ⁇ PMV + ⁇ F- ⁇ R- ⁇
  • PMV is a PMV (Predicted Mean Vote) value calculated from the environmental data in the air conditioning environment around the subject.
  • F is the influence degree of the preference information
  • R is the influence degree of the attribute information.
  • the influence degree F of the preference information and the influence degree R of the attribute information are calculated as follows.
  • F aF 1 + bF 2 +...
  • R pR 1 + qR 2 +... F 1 , F 2 ,...
  • the influence degree F of preference information is calculated based on one or more elements included in the preference information.
  • R 1 , R 2 ,... are numerical values indicating the degree of each element of attribute information, for example, body fat percentage.
  • the influence degree R of attribute information is calculated based on one or more elements included in the attribute information. Further, a, b,..., P, q,.
  • thermal sensation index called PMV
  • other thermal sensation indices such as SET * (Standard new Effective Temperature) and UTCI (Universal Thermal climate Index), may be used, for example.
  • the comfort level information generation unit 13 When the comfort level information generation unit 13 generates the comfort level information including the comfort level calculated as described above, the comfort level information generation unit 13 registers the comfort level information generation unit 13 in the comfort level information storage unit 17.
  • the comfort level information includes information necessary for displaying the comfort level, such as information indicating the time when environmental data is measured and calculated, user information for identifying an individual, and attribute information.
  • the comfort level information generation unit 13 can calculate the comfort level close to the user's individual feeling by using the attribute information and preference information of each user in addition to the environmental data.
  • the user requests the display of the comfort level in the space where the user is located by performing a predetermined operation.
  • the display unit 14 extracts comfort level information necessary for display from the comfort level information storage unit 17 and displays the comfort level information on the display 27. For example, if there are 10 persons in the space, comfort level information for 10 persons is individually displayed on the same screen. Or you may display the time series change of the comfort degree for every user in a graph format. Or you may display the said user's comfort degree in the seat position of each user on the top view of space. At this time, the comfort level is displayed in a form in which the color, size, and the like are different depending on the value.
  • the comfort level is calculated and displayed based on the attribute information and the preference information as described above.
  • the comfort level calculation and display process described above is a process common to all embodiments described later.
  • generation of characteristic preference information in the present embodiment which is executed by the user preference generation unit 12, will be described.
  • the user preference generation unit 12 acquires characteristic information from the external device 1.
  • the user preference generation unit 12 is located in an external space other than the space in which the user forms an air-conditioning environment from the external device 1.
  • External environment preference information indicating the preference for the current temperature is acquired as characteristic information.
  • the “space that forms the air-conditioning environment” is a room of a business office where the user performs business
  • the “external space other than the space that forms the air-conditioning environment” is, for example, the living space of the user.
  • portable information terminals such as a smart phone which the said user carries, are assumed.
  • External device 1 is equipped with a temperature sensor and measures the temperature (room temperature) of the user's living space. Unlike the temperature setting in the office, the temperature setting in the living space is considered to reflect the user's preference more easily. Further, the external device 1 acquires information on the outside air temperature of the place from measurement or weather information, and sends it to the information processing device 10 as external environment preference information together with the room temperature.
  • the user preference generation unit 12 estimates the user's preference for the temperature by analyzing the content. For example, it is determined whether cooling is preferred or warming is preferred from the difference between the temperature difference with respect to the outside air temperature and the appropriate temperature.
  • the preference information is generated based on the user's preference estimated as described above and registered in the preference information storage unit 16.
  • Embodiment 2 a portable terminal is assumed as the external device 1, and information about temperature is directly acquired from the external device 1.
  • the external device 1 is a Home Energy Management System (HEMS), and the history data of the set temperature of the user's living space collected by the HEMS is acquired as external environment preference information.
  • HEMS Home Energy Management System
  • the block configuration and hardware configuration of the information processing apparatus 10 in the present embodiment may be the same as those in the first embodiment.
  • the user preference generation unit 12 in the present embodiment basically performs the same processing as in the first embodiment to estimate the preference of the user and generate preference information.
  • FIG. 3 is a block configuration diagram of the information processing apparatus 10 in the present embodiment.
  • the information processing apparatus 10 in the present embodiment has a configuration in which a human body characteristic information acquisition unit 18 and a human body characteristic information storage unit 19 are added to the configuration shown in the first embodiment.
  • the human body characteristic information acquisition unit 18 is means for acquiring information (human body characteristic information) indicating the characteristics of the user's human body obtained when the user is located in the air-conditioning environment, and storing the information in the human body characteristic information storage unit 19.
  • the present embodiment is characterized in that information on the amount of exercise of the user is acquired as the human body characteristic information.
  • the human body characteristic information acquisition unit 18 collects exercise amount data from a smartphone, an activity meter, or a life log (a service that records human activities as digital data such as images and positions).
  • the user preference generation unit 12 determines whether the user is cool by analyzing the exercise amount data acquired by the human body characteristic information acquisition unit 18 and accumulated in the human body characteristic information storage unit 19 based on the investigation result. To do. Note that the user preference generation unit 12 generates preference information based on the determination result, but the preference information may be generated as binary data indicating whether or not it is cold or may be generated as a numerical value indicating the degree of coldness. May be.
  • Embodiment 4 information on the user's exercise amount is acquired as the human body characteristic information.
  • information on the user's skin temperature is acquired as the human body characteristic information.
  • the human body characteristic information acquisition unit 18 in the present embodiment acquires the user's skin temperature measured using an infrared sensor or the like when the user is in an air-conditioning environment, and stores it in the human body characteristic information storage unit 19.
  • the user preference generation unit 12 analyzes the skin temperature data acquired by the human body characteristic information acquisition unit 18 and accumulated in the human body characteristic information storage unit 19 on the basis of the investigation result, thereby determining whether the user is cool. judge.
  • data such as the skin temperature and room temperature of a person who is not cool is required, and this may be acquired from the environment data acquisition unit 11, the preference information storage unit 16 or the human body characteristic information storage unit 19.
  • Embodiment 5 information related to the user's skin temperature is acquired as the human body characteristic information.
  • information related to the user's skin moisture content is acquired as the human body characteristic information.
  • the human body characteristic information acquisition unit 18 acquires the user's skin moisture amount measured using a skin moisture amount sensor or the like when the user is in an air-conditioning environment, and stores it in the human body characteristic information storage unit 19. .
  • the user preference generation unit 12 analyzes the skin moisture amount data acquired by the human body characteristic information acquisition unit 18 and accumulated in the human body characteristic information storage unit 19, so that the user's skin is easily dried or dried.
  • Sinokushika is determined, and preference information is generated based on the determination result.
  • data such as another person's skin moisture amount data and room temperature are required, which may be acquired from the environment data acquisition unit 11, the preference information storage unit 16, or the human body characteristic information storage unit 19.
  • the comfort level of the air-conditioning environment without causing the user to input information related to comfort by estimating the user's preference, but this does not mean that the user's input is not accepted at all.
  • User input may be used for generating preference information for users without preference information and for correcting preference information associated with changes in preferences.
  • An information processing apparatus includes an acquisition unit that acquires characteristic information about a user's temperature or a human body, and estimates each user's preference for an air-conditioning environment based on the characteristic information to obtain the user's preference information.
  • User preference estimation means for generating, comfort level information generation means for generating comfort level information indicating comfort in the air conditioning environment of the user based on environmental data representing the status of the air conditioning environment and the preference information. is there.
  • the user preference estimation means is external environment preference information acquired as the characteristic information, and indicates the preference for the temperature when the user is located in an external space other than the space forming the air conditioning environment. Based on the information, the user's preference for the air-conditioning environment is estimated.
  • the user preference estimation means acquires the external environment preference information when the user is located in the user's living space as the external space, and the user's air conditioning based on the acquired external environment preference information Estimate environmental preferences.
  • the user preference estimation means acquires the external environment preference information transmitted from the user terminal used by the user personally.
  • the user preference estimation unit acquires history data of the set temperature of the user's living space collected by a home energy management system that performs air conditioning management of the user's living space as the external environment preference information. .
  • the user preference estimation unit is human body characteristic information acquired as the characteristic information, and is obtained when the user is located in the air conditioning environment.
  • the user's preference for the air-conditioning environment is estimated based on the environmental data representing the situation.
  • the user preference estimation means acquires information on the amount of exercise of the user as the human body characteristic information.
  • the user preference estimation means acquires information on the user's skin temperature as the human body characteristic information.
  • the user preference estimation means acquires information on the skin moisture content of the user as the human body characteristic information.
  • the program according to the embodiment of the present invention includes a computer that obtains characteristic information relating to a user's temperature or human body, estimates a preference for each user's air-conditioning environment based on the characteristic information, and obtains the user's preference information.
  • characteristic information relating to a user's temperature or human body
  • estimates a preference for each user's air-conditioning environment based on the characteristic information and obtains the user's preference information.
  • environment data representing the condition of the air conditioning environment
  • comfort level information generation means for generating comfort level information indicating comfort in the air conditioning environment of the user based on the preference information It is.

Abstract

An information processing device (10) includes: a user preference generation unit (12) that acquires, from a smartphone serving as an external device (1), information such as a user set temperature for when the user is outside the air-conditioned environment, estimates a temperature preference of the user by analyzing the acquired information, and generates preference information; and a comfort-level information generation unit (13) that calculates a comfort level in an air-conditioned environment on the basis of environment data, attribute information and the preference information generated by the user preference generation unit, without having the user input information relating to a comfort level.

Description

情報処理装置及びプログラムInformation processing apparatus and program
　本発明は、情報処理装置及びプログラム、特に空調環境の快適度の算出に用いるユーザの嗜好情報の取得に関する。 The present invention relates to an information processing apparatus and program, and more particularly, to acquisition of user preference information used for calculation of comfort level of an air-conditioning environment.
　近年、ビルや家などの建物内における温度は、建物内にいるユーザが快適に過ごせるように空調システムによって制御される。ただ、空調システムにより設定された温度がユーザの体質の違いなどにより快適と感じるかどうかは定かでない。 In recent years, the temperature in a building such as a building or a house is controlled by an air conditioning system so that a user in the building can spend comfortably. However, it is not certain whether the temperature set by the air conditioning system feels comfortable due to differences in the user's constitution.
　そこで、従来においては、現在の設定温度による建物内の空間の温度環境が暑く感じる若しくは寒く感じるなどの温感の度合いなどをユーザに入力してもらい、その入力された情報に基づき空調制御を行うことで快適性の向上を図る技術が提案されている（例えば、特許文献１）。 Therefore, conventionally, the user is required to input the degree of thermal sensation such as feeling hot or cold in the temperature environment of the building space at the current set temperature, and air conditioning control is performed based on the input information Therefore, a technique for improving comfort has been proposed (for example, Patent Document 1).
特開平７－１２３８８号公報Japanese Patent Laid-Open No. 7-12388 特開平２－２７５２３６号公報JP-A-2-275236 特開２０１３－１０４６３２号公報JP 2013-104632 A 特開２００７－２０５６４９号公報JP 2007-205649 A 特開平４－２２５７４６号公報JP-A-4-225746 特開２０１１－１５８１７８号公報JP 2011-158178 A 特開２０１２－１３４０３号公報JP 2012-13403 A
　ところで、温度設定に関する嗜好、例えば、暑がりなので低めの温度設定を好んだり、冷え性なので高めの温度設定を好んだりすることは、ユーザによってある程度決まっていることであり、頻繁に変わるものではない。 By the way, preference for temperature setting, for example, preferring a lower temperature setting because it is hot, or prefering a higher temperature setting because it is cold, is a certain degree determined by the user and does not change frequently. .
　しかしながら、従来においては、空調制御されている空間の現在の快適性を向上させるために、もう少し設定温度を低めになど、温度に関する嗜好をユーザにその都度入力させていた。 However, in the past, in order to improve the current comfort of the air-conditioned space, the user is required to input temperature preferences each time, such as lowering the set temperature.
　本発明は、ユーザに入力させることなくユーザ若しくはユーザが所在する環境から得られる情報に基づきユーザの温度に対する嗜好を推定することを目的とする。 An object of the present invention is to estimate a user's preference for temperature based on information obtained from the user or an environment where the user is located without causing the user to input.
　本発明に係る情報処理装置は、ユーザの温度又は人体に関する特性情報を取得し、前記特性情報に基づき各ユーザの空調環境に対する嗜好を推定して当該ユーザの嗜好情報を生成するユーザ嗜好生成部と、前記空調環境の状況を表す環境データ及び前記嗜好情報に基づき当該ユーザの空調環境における快適性を示す快適度情報を生成する快適度情報生成部と、を有するものである。 An information processing apparatus according to the present invention includes a user preference generation unit that acquires characteristic information about a user's temperature or a human body, generates a preference information of the user by estimating a preference for each user's air conditioning environment based on the characteristic information, and And a comfort level information generating unit that generates comfort level information indicating comfort in the air conditioning environment of the user based on the environmental data representing the status of the air conditioning environment and the preference information.
　本発明によれば、ユーザに入力させることなくユーザ若しくはユーザが所在する環境から得られる情報に基づきユーザの温度に対する嗜好を推定することができる。 According to the present invention, the user's preference for the temperature can be estimated based on information obtained from the user or the environment where the user is located without causing the user to input.
本発明に係る情報処理装置の実施の形態１を示したブロック構成図である。It is the block block diagram which showed Embodiment 1 of the information processing apparatus which concerns on this invention. 実施の形態１における情報処理装置を形成するコンピュータのハードウェア構成図である。FIG. 2 is a hardware configuration diagram of a computer that forms the information processing apparatus according to the first embodiment. 実施の形態３における情報処理装置のブロック構成図である。FIG. 10 is a block configuration diagram of an information processing device in a third embodiment.
　以下、図面に基づいて、本発明の好適な実施の形態について説明する。 Hereinafter, preferred embodiments of the present invention will be described with reference to the drawings.
　実施の形態１．
　図１は、本発明に係る情報処理装置の一実施の形態を示したブロック構成図である。本実施の形態における情報処理装置１０は、パーソナルコンピュータ（ＰＣ）などの汎用的なコンピュータで実現できる。 Embodiment 1 FIG.
FIG. 1 is a block diagram showing an embodiment of an information processing apparatus according to the present invention. The information processing apparatus 10 according to the present embodiment can be realized by a general-purpose computer such as a personal computer (PC).
　図２は、本実施の形態における情報処理装置１０を形成するコンピュータのハードウェア構成図である。本実施の形態における情報処理装置１０は、ＣＰＵ２１、ＲＯＭ２２、ＲＡＭ２３、ハードディスクドライブ（ＨＤＤ）２４、入力手段として設けられたマウス２５とキーボード２６、及び表示装置として設けられたディスプレイ２７をそれぞれ接続する入出力コントローラ２８、通信手段として設けられたネットワークコントローラ２９を内部バス３０に接続して構成される。 FIG. 2 is a hardware configuration diagram of a computer forming the information processing apparatus 10 according to the present embodiment. The information processing apparatus 10 according to the present embodiment is connected to a CPU 21, a ROM 22, a RAM 23, a hard disk drive (HDD) 24, a mouse 25 and a keyboard 26 provided as input means, and a display 27 provided as a display device. An output controller 28 and a network controller 29 provided as communication means are connected to an internal bus 30.
　図１に戻り、情報処理装置１０は、環境データ取得部１１、ユーザ嗜好生成部１２、快適度情報生成部１３、表示部１４、属性情報記憶部１５及び嗜好情報記憶部１６を有している。環境データ取得部１１は、空調環境の状況を表す環境データを取得する。ここで、「空調環境」というのは、空調システムによる空調制御により温度管理されている部屋等の空間における温度に関する環境のことをいう。「環境データ」は、温度、湿度、平均風速、風速の標準偏差、平均放射温度等各種センサによって測定され、あるいは計算により得られる空調環境の状況を表す客観的なデータである。 Returning to FIG. 1, the information processing apparatus 10 includes an environment data acquisition unit 11, a user preference generation unit 12, a comfort level information generation unit 13, a display unit 14, an attribute information storage unit 15, and a preference information storage unit 16. . The environmental data acquisition unit 11 acquires environmental data representing the status of the air conditioning environment. Here, the “air-conditioning environment” refers to an environment related to temperature in a space such as a room whose temperature is controlled by air-conditioning control by the air-conditioning system. “Environmental data” is objective data representing the status of an air-conditioning environment measured by various sensors such as temperature, humidity, average wind speed, standard deviation of wind speed, and average radiation temperature, or obtained by calculation.
　ユーザ嗜好生成部１２は、ユーザの温度又は人体に関する特性情報を取得する取得手段及び特性情報に基づき各ユーザの空調環境に対する嗜好を推定して当該ユーザの嗜好情報を生成し、嗜好情報記憶部１６に登録するユーザ嗜好推定手段として機能する。本実施の形態では、「嗜好情報」として、例えば温度に関する嗜好（暑がり、寒がり）、温度・風速に関する嗜好（冷え性）、湿度に関する嗜好（乾燥肌）、活動量及び着衣量等の情報を用いる。なお、冷え性や乾燥肌は、ユーザの好みではなく人体の特性に依存することかもしれないが、後述する属性情報のような客観性のある情報とは異なり、当該ユーザ個人の主観的な情報と考えられることから、本実施の形態では、属性情報ではなく嗜好情報に含めて取り扱うようにした。 The user preference generation unit 12 estimates each user's preference for the air-conditioning environment based on the acquisition means for acquiring the user's temperature or characteristic information about the human body and the characteristic information, generates the user's preference information, and the preference information storage unit 16 It functions as a user preference estimation means to be registered. In the present embodiment, as the “taste information”, for example, information such as a temperature-related preference (hot or cold), a temperature / wind speed preference (coolness), a humidity preference (dry skin), an activity amount, and a clothing amount are used. . The coolness and dry skin may depend on the characteristics of the human body rather than the user's preferences, but unlike objective information such as attribute information described later, For this reason, in this embodiment, it is handled by including it in preference information, not attribute information.
　快適度情報生成部１３は、環境データ取得部１１により取得された環境データ、快適度情報生成対象のユーザの属性情報及びユーザ嗜好生成部１２により生成された当該ユーザの嗜好情報に基づき当該ユーザの空調環境における快適性を示す快適度情報を生成する快適度情報生成手段として機能する。表示部１４は、快適度情報生成部１３により生成された快適度情報をディスプレイ２７に表示する。 The comfort level information generation unit 13 is based on the environment data acquired by the environment data acquisition unit 11, the attribute information of the user for which the comfort level information is generated, and the user preference information generated by the user preference generation unit 12. It functions as comfort level information generating means for generating comfort level information indicating comfort in an air-conditioned environment. The display unit 14 displays the comfort level information generated by the comfort level information generation unit 13 on the display 27.
　属性情報記憶部１５には、各ユーザの属性情報が予め設定される。本実施の形態では、「属性情報」として、例えば年齢、性別、身長、体重、体脂肪率、座席位置情報等の情報を用いる。 Attribute information of each user is set in the attribute information storage unit 15 in advance. In the present embodiment, information such as age, sex, height, weight, body fat percentage, seat position information, and the like is used as “attribute information”.
　情報処理装置１０における各構成要素１１～１４は、情報処理装置１０を形成するコンピュータと、コンピュータに搭載されたＣＰＵ２１で動作するプログラムとの協調動作により実現される。また、各記憶部１５，１６は、情報処理装置１０に搭載されたＨＤＤ２４にて実現される。あるいは、ＲＡＭ２３又は外部にある記憶手段をネットワーク経由で利用してもよい。 Each of the components 11 to 14 in the information processing apparatus 10 is realized by a cooperative operation of a computer that forms the information processing apparatus 10 and a program that operates on the CPU 21 mounted on the computer. The storage units 15 and 16 are realized by the HDD 24 mounted in the information processing apparatus 10. Alternatively, the RAM 23 or an external storage means may be used via a network.
　また、本実施の形態で用いるプログラムは、通信手段により提供することはもちろん、ＣＤ－ＲＯＭやＵＳＢメモリ等のコンピュータ読み取り可能な記録媒体に格納して提供することも可能である。通信手段や記録媒体から提供されたプログラムはコンピュータにインストールされ、コンピュータのＣＰＵがプログラムを順次実行することで各種処理が実現される。 Further, the program used in this embodiment can be provided not only by communication means but also by storing it in a computer-readable recording medium such as a CD-ROM or USB memory. The program provided from the communication means or the recording medium is installed in the computer, and various processes are realized by the CPU of the computer sequentially executing the program.
　次に、本実施の形態における動作について説明する。まず、属性情報及び嗜好情報に基づいて快適度情報を生成する処理について説明する。本実施の形態においては、快適度情報をユーザ毎に生成し、各ユーザとも同様に処理する。 Next, the operation in this embodiment will be described. First, the process which produces | generates comfort level information based on attribute information and preference information is demonstrated. In the present embodiment, comfort level information is generated for each user, and each user performs the same processing.
　環境データ取得部１１は、空調システム等から環境データを定周期的に取得するが、この快適度情報を生成する処理は、環境データが定周期的に取得される度に快適度情報生成部１３が起動され実行される。 The environmental data acquisition unit 11 periodically acquires environmental data from an air conditioning system or the like. The process of generating the comfort level information is performed every time the environmental data is periodically acquired. Is started and executed.
　快適度情報生成部１３は、起動されると、環境データ取得部１１から環境データを取得する。更に、快適度情報生成部１３は、快適度情報生成対象のユーザの属性情報及び嗜好情報を各記憶部１５，１６から読み出し取得する。 The comfort level information generation unit 13 acquires environmental data from the environmental data acquisition unit 11 when activated. Further, the comfort level information generation unit 13 reads out and acquires the attribute information and preference information of the user whose comfort level information is to be generated from each of the storage units 15 and 16.
　続いて、快適度情報生成部１３は、以下に示すように所定の計算式に従って快適度を算出する。
　快適度＝αＰＭＶ＋βＦ－γＲ－δ
　但し、ＰＭＶは、対象者周辺の空調環境における環境データから算出したＰＭＶ（Ｐｒｅｄｉｃｔｅｄ　Ｍｅａｎ　Ｖｏｔｅ）値である。Ｆは嗜好情報の影響度、Ｒは属性情報の影響度である。また、α、β、γ、δは係数であり、対象者の特性によって変更する。例えば、夏期であればα＝１．２３、β＝－０．０４５、γ＝－０．４９、δ＝１．０５などと設定する。また、嗜好情報の影響度Ｆ及び属性情報の影響度Ｒをそれぞれ以下のようにして算出する。
　Ｆ＝ａＦ１＋ｂＦ２＋・・・
　Ｒ＝ｐＲ１＋ｑＲ２＋・・・
　但し、Ｆ１，Ｆ２，・・・は嗜好情報の各要素の度合いを示す数値、例えば冷え性の度合いを示す数値である。嗜好情報の影響度Ｆは、嗜好情報に含まれる１又は複数の要素に基づき算出される。また、Ｒ１，Ｒ２，・・・は属性情報の各要素の度合いを示す数値、例えば体脂肪率である。属性情報の影響度Ｒは、属性情報に含まれる１又は複数の要素に基づき算出される。また、ａ，ｂ，・・・、ｐ，ｑ，・・・は係数である。 Subsequently, the comfort level information generation unit 13 calculates the comfort level according to a predetermined calculation formula as shown below.
Comfort = αPMV + βF-γR-δ
However, PMV is a PMV (Predicted Mean Vote) value calculated from the environmental data in the air conditioning environment around the subject. F is the influence degree of the preference information, and R is the influence degree of the attribute information. Further, α, β, γ, and δ are coefficients and are changed according to the characteristics of the subject. For example, in the summer season, α = 1.23, β = −0.045, γ = −0.49, δ = 1.05, and the like. Further, the influence degree F of the preference information and the influence degree R of the attribute information are calculated as follows.
F = aF 1 + bF 2 +...
R = pR 1 + qR 2 +...
F 1 , F 2 ,... Are numerical values indicating the degree of each element of the preference information, for example, numerical values indicating the degree of cooling. The influence degree F of preference information is calculated based on one or more elements included in the preference information. R 1 , R 2 ,... Are numerical values indicating the degree of each element of attribute information, for example, body fat percentage. The influence degree R of attribute information is calculated based on one or more elements included in the attribute information. Further, a, b,..., P, q,.
　なお、ここでは、ＰＭＶという既存の温冷感指標を用いているが，例えばＳＥＴ＊（Ｓｔａｎｄａｒｄ　ｎｅｗ　Ｅｆｆｅｃｔｉｖｅ　Ｔｅｍｐｅｒａｔｕｒｅ）やＵＴＣＩ（Ｕｎｉｖｅｒｓａｌ　Ｔｈｅｒｍａｌ　Ｃｌｉｍａｔｅ　Ｉｎｄｅｘ）など他の温冷感指標を用いてもよい。 In addition, although the existing thermal sensation index called PMV is used here, other thermal sensation indices, such as SET * (Standard new Effective Temperature) and UTCI (Universal Thermal Climate Index), may be used, for example.
　快適度情報生成部１３は、以上のようにして算出した快適度を含む快適度情報を生成すると、快適度情報記憶部１７に登録する。快適度情報には、快適度の他に環境データが測定、算出された時間を示す情報、個人を特定するユーザ情報や属性情報等快適度の表示に必要な情報が含まれる。 When the comfort level information generation unit 13 generates the comfort level information including the comfort level calculated as described above, the comfort level information generation unit 13 registers the comfort level information generation unit 13 in the comfort level information storage unit 17. In addition to the comfort level, the comfort level information includes information necessary for displaying the comfort level, such as information indicating the time when environmental data is measured and calculated, user information for identifying an individual, and attribute information.
　快適度情報生成部１３は、以上説明したように環境データに加え、各ユーザの属性情報及び嗜好情報を用いることでユーザ個人の感覚に近い快適度を算出することが可能になる。 As described above, the comfort level information generation unit 13 can calculate the comfort level close to the user's individual feeling by using the attribute information and preference information of each user in addition to the environmental data.
　ユーザは、所定の操作を行うことで所在する空間における快適度の表示を要求する。表示部１４は、その表示要求を受け付けると、快適度情報記憶部１７から表示に必要な快適度情報を抽出してディスプレイ２７に表示する。例えば、当該空間の在籍者が１０人いるとしたならば、１０人分の快適度情報を個々に同一画面上に表示する。あるいは、ユーザ毎の快適度の時系列変化をグラフ形式に表示してもよい。あるいは、空間の平面図上における各ユーザの座席位置に当該ユーザの快適度を表示してもよい。この際、快適度を、その値に応じて色、サイズ等が異なる形態にて表示する。 The user requests the display of the comfort level in the space where the user is located by performing a predetermined operation. When receiving the display request, the display unit 14 extracts comfort level information necessary for display from the comfort level information storage unit 17 and displays the comfort level information on the display 27. For example, if there are 10 persons in the space, comfort level information for 10 persons is individually displayed on the same screen. Or you may display the time series change of the comfort degree for every user in a graph format. Or you may display the said user's comfort degree in the seat position of each user on the top view of space. At this time, the comfort level is displayed in a form in which the color, size, and the like are different depending on the value.
　本実施の形態では、以上のようにして属性情報及び嗜好情報に基づいて快適度を算出し表示する。前述した快適度の算出及び表示処理は、後述する全ての実施の形態に共通する処理である。次に、ユーザ嗜好生成部１２により実行される、本実施の形態において特徴的な嗜好情報の生成について説明する。 In the present embodiment, the comfort level is calculated and displayed based on the attribute information and the preference information as described above. The comfort level calculation and display process described above is a process common to all embodiments described later. Next, generation of characteristic preference information in the present embodiment, which is executed by the user preference generation unit 12, will be described.
　前述したように、ユーザ嗜好生成部１２は外部装置１から特性情報を取得するが、本実施の形態においては、外部装置１からユーザが空調環境を形成する空間以外の外部空間に所在しているときの温度に対する嗜好を示す外部環境嗜好情報を特性情報として取得する。 As described above, the user preference generation unit 12 acquires characteristic information from the external device 1. In the present embodiment, the user preference generation unit 12 is located in an external space other than the space in which the user forms an air-conditioning environment from the external device 1. External environment preference information indicating the preference for the current temperature is acquired as characteristic information.
　ここで、「空調環境を形成する空間」がユーザが業務を行う事業所の居室の場合、「空調環境を形成する空間以外の外部空間」というのは、例えば当該ユーザの生活空間である。そして、本実施の形態における外部装置１としては、当該ユーザが携帯するスマートフォン等の携帯情報端末を想定している。 Here, when the “space that forms the air-conditioning environment” is a room of a business office where the user performs business, the “external space other than the space that forms the air-conditioning environment” is, for example, the living space of the user. And as the external device 1 in this Embodiment, portable information terminals, such as a smart phone which the said user carries, are assumed.
　外部装置１は、温度センサを搭載しており、ユーザの生活空間場所の温度（室温）を測定する。事業所内の温度設定とは異なり、生活空間における温度設定は、当該ユーザの嗜好がより反映されやすいと考えられる。また、外部装置１は、当該場所の外気温の情報を測定若しくは天気情報から取得し、室温と共に外部環境嗜好情報として情報処理装置１０へ送る。 External device 1 is equipped with a temperature sensor and measures the temperature (room temperature) of the user's living space. Unlike the temperature setting in the office, the temperature setting in the living space is considered to reflect the user's preference more easily. Further, the external device 1 acquires information on the outside air temperature of the place from measurement or weather information, and sends it to the information processing device 10 as external environment preference information together with the room temperature.
　ユーザ嗜好生成部１２は、外部環境嗜好情報を取得すると、その内容を解析することでユーザの温度に対する嗜好を推定する。例えば、外気温に対する温度差や適正温度との差分から涼しめを好むか暖かめを好むかを判断する。このようにして推定したユーザの嗜好に基づき嗜好情報を生成して嗜好情報記憶部１６に登録する。 When the user preference generation unit 12 acquires the external environment preference information, the user preference generation unit 12 estimates the user's preference for the temperature by analyzing the content. For example, it is determined whether cooling is preferred or warming is preferred from the difference between the temperature difference with respect to the outside air temperature and the appropriate temperature. The preference information is generated based on the user's preference estimated as described above and registered in the preference information storage unit 16.
　本実施の形態によれば、以上のように外部（外部装置１）から取得した外部環境嗜好情報に基づきユーザの嗜好情報を生成することができる。 According to the present embodiment, it is possible to generate user preference information based on external environment preference information acquired from the outside (external device 1) as described above.
　実施の形態２．
　上記実施の形態１では、外部装置１として携帯端末を想定し、外部装置１から温度に関する情報を直接取得するようにした。本実施の形態では、外部装置１としてＨＥＭＳ（Ｈｏｍｅ　Ｅｎｅｒｇｙ　Ｍａｎａｇｅｍｅｎｔ　Ｓｙｓｔｅｍ）を想定し、ＨＥＭＳにより収集された当該ユーザの生活空間の設定温度の履歴データを外部環境嗜好情報として取得することを特徴としている。なお、本実施の形態における情報処理装置１０のブロック構成及びハードウェア構成は実施の形態１と同じでよい。 Embodiment 2. FIG.
In the first embodiment, a portable terminal is assumed as the external device 1, and information about temperature is directly acquired from the external device 1. In the present embodiment, it is assumed that the external device 1 is a Home Energy Management System (HEMS), and the history data of the set temperature of the user's living space collected by the HEMS is acquired as external environment preference information. . Note that the block configuration and hardware configuration of the information processing apparatus 10 in the present embodiment may be the same as those in the first embodiment.
　本実施の形態におけるユーザ嗜好生成部１２は、基本的には実施の形態１と同様の処理を実行することで当該ユーザの嗜好を推定して嗜好情報を生成する。 The user preference generation unit 12 in the present embodiment basically performs the same processing as in the first embodiment to estimate the preference of the user and generate preference information.
　実施の形態３．
　図３は、本実施の形態における情報処理装置１０のブロック構成図である。図１と同じ構成要素には同じ符号を付け説明を省略する。なお、本実施の形態における情報処理装置１０のハードウェア構成は実施の形態１と同じでよい。 Embodiment 3 FIG.
FIG. 3 is a block configuration diagram of the information processing apparatus 10 in the present embodiment. The same components as those in FIG. Note that the hardware configuration of the information processing apparatus 10 in the present embodiment may be the same as that in the first embodiment.
　本実施の形態における情報処理装置１０は、実施の形態１に示した構成に人体特性情報取得部１８及び人体特性情報記憶部１９を追加した構成を有している。人体特性情報取得部１８は、ユーザが空調環境に所在しているときに得られる当該ユーザの人体の特性を示す情報（人体特性情報）を取得し、人体特性情報記憶部１９に保存する手段であるが、本実施の形態では、人体特性情報としてユーザの運動量に関する情報を取得することを特徴としている。人体特性情報取得部１８は、運動量データをスマートフォン、活動量計又はライフログ（人間の活動を映像や位置等のデジタルデータとして記録するサービス）等から収集する。 The information processing apparatus 10 in the present embodiment has a configuration in which a human body characteristic information acquisition unit 18 and a human body characteristic information storage unit 19 are added to the configuration shown in the first embodiment. The human body characteristic information acquisition unit 18 is means for acquiring information (human body characteristic information) indicating the characteristics of the user's human body obtained when the user is located in the air-conditioning environment, and storing the information in the human body characteristic information storage unit 19. However, the present embodiment is characterized in that information on the amount of exercise of the user is acquired as the human body characteristic information. The human body characteristic information acquisition unit 18 collects exercise amount data from a smartphone, an activity meter, or a life log (a service that records human activities as digital data such as images and positions).
　実態調査によると、人間は適切な運動をしていれば冷え性になりにくいという結果が得られている。従って、ユーザ嗜好生成部１２は、この調査結果を根拠に人体特性情報取得部１８により取得され人体特性情報記憶部１９に蓄積された運動量データを解析することで、当該ユーザが冷え性かどうかを判定する。なお、ユーザ嗜好生成部１２は、判定結果に基づき嗜好情報を生成するが、嗜好情報を冷え性か否かの２値化データとして生成してもよいし、あるいは冷え性度という度合いを示す数値として生成してもよい。 According to the fact-finding survey, it has been obtained that humans are less likely to get cold if they exercise properly. Accordingly, the user preference generation unit 12 determines whether the user is cool by analyzing the exercise amount data acquired by the human body characteristic information acquisition unit 18 and accumulated in the human body characteristic information storage unit 19 based on the investigation result. To do. Note that the user preference generation unit 12 generates preference information based on the determination result, but the preference information may be generated as binary data indicating whether or not it is cold or may be generated as a numerical value indicating the degree of coldness. May be.
　実施の形態４．
　上記実施の形態３では、人体特性情報としてユーザの運動量に関する情報を取得するが、本実施の形態では、人体特性情報としてユーザの皮膚温に関する情報を取得することを特徴としている。なお、本実施の形態における情報処理装置１０のブロック構成及びハードウェア構成は実施の形態３と同じでよい。本実施の形態における人体特性情報取得部１８は、ユーザが空調環境にいるときに赤外線センサ等を用いて測定されたユーザの皮膚温を取得し、人体特性情報記憶部１９に保存する。 Embodiment 4 FIG.
In the third embodiment, information on the user's exercise amount is acquired as the human body characteristic information. In the present embodiment, information on the user's skin temperature is acquired as the human body characteristic information. Note that the block configuration and hardware configuration of the information processing apparatus 10 in the present embodiment may be the same as those in the third embodiment. The human body characteristic information acquisition unit 18 in the present embodiment acquires the user's skin temperature measured using an infrared sensor or the like when the user is in an air-conditioning environment, and stores it in the human body characteristic information storage unit 19.
　実態調査によると、冷え性の人は、夏期に利用される冷房により皮膚温が低下傾向にある。従って、ユーザ嗜好生成部１２は、この調査結果を根拠に人体特性情報取得部１８により取得され人体特性情報記憶部１９に蓄積された皮膚温データを解析することで、当該ユーザが冷え性かどうかを判定する。判定結果を得るために冷え性でない人の皮膚温や室温等のデータが必要になるが、これは、環境データ取得部１１、嗜好情報記憶部１６又は人体特性情報記憶部１９から取得すればよい。 According to the actual survey, people with coldness have a tendency to lower their skin temperature due to cooling used in summer. Therefore, the user preference generation unit 12 analyzes the skin temperature data acquired by the human body characteristic information acquisition unit 18 and accumulated in the human body characteristic information storage unit 19 on the basis of the investigation result, thereby determining whether the user is cool. judge. In order to obtain the determination result, data such as the skin temperature and room temperature of a person who is not cool is required, and this may be acquired from the environment data acquisition unit 11, the preference information storage unit 16 or the human body characteristic information storage unit 19.
　実施の形態５．
　上記実施の形態４では、人体特性情報としてユーザの皮膚温に関する情報を取得するが、本実施の形態では、人体特性情報としてユーザの肌水分量に関する情報を取得することを特徴としている。なお、本実施の形態における情報処理装置１０のブロック構成及びハードウェア構成は実施の形態３と同じでよい。本実施の形態における人体特性情報取得部１８は、ユーザが空調環境にいるときに肌水分量センサ等を用いて測定されたユーザの肌水分量を取得し、人体特性情報記憶部１９に保存する。 Embodiment 5 FIG.
In the fourth embodiment, information related to the user's skin temperature is acquired as the human body characteristic information. In the present embodiment, information related to the user's skin moisture content is acquired as the human body characteristic information. Note that the block configuration and hardware configuration of the information processing apparatus 10 in the present embodiment may be the same as those in the third embodiment. The human body characteristic information acquisition unit 18 according to the present embodiment acquires the user's skin moisture amount measured using a skin moisture amount sensor or the like when the user is in an air-conditioning environment, and stores it in the human body characteristic information storage unit 19. .
　湿度が低い場合、肌水分量は低下するが低下の程度には個人差が生じうる。従って、ユーザ嗜好生成部１２は、人体特性情報取得部１８により取得され人体特性情報記憶部１９に蓄積された肌水分量データを解析することで、当該ユーザの肌は乾燥しやすいか、あるいは乾燥しにくしかを判定し、その判定結果に基づき嗜好情報を生成する。判定結果を得るために他人の肌水分量データや室温等のデータが必要になるが、これは、環境データ取得部１１、嗜好情報記憶部１６又は人体特性情報記憶部１９から取得すればよい。 When the humidity is low, the moisture content of the skin decreases, but the degree of decrease may vary among individuals. Therefore, the user preference generation unit 12 analyzes the skin moisture amount data acquired by the human body characteristic information acquisition unit 18 and accumulated in the human body characteristic information storage unit 19, so that the user's skin is easily dried or dried. Sinokushika is determined, and preference information is generated based on the determination result. In order to obtain the determination result, data such as another person's skin moisture amount data and room temperature are required, which may be acquired from the environment data acquisition unit 11, the preference information storage unit 16, or the human body characteristic information storage unit 19.
　以上説明したように、各ユーザの嗜好を推定して嗜好情報を生成する手法について実施の形態に分けて説明したが、これらの手法は適宜組み合わせて実施してもよい。 As described above, although the method of estimating preference of each user and generating preference information has been described separately in the embodiments, these methods may be combined appropriately.
　また、本実施の形態では、ユーザの嗜好を推定することによって快適性に関する情報をユーザに入力させることなく空調環境の快適度を得ることができるが、ユーザの入力を一切受け付けないということではなく嗜好情報のないユーザの嗜好情報の生成のために、また嗜好の変化に伴う嗜好情報の補正のためにユーザ入力を利用するようにしてもよい。 In the present embodiment, it is possible to obtain the comfort level of the air-conditioning environment without causing the user to input information related to comfort by estimating the user's preference, but this does not mean that the user's input is not accepted at all. User input may be used for generating preference information for users without preference information and for correcting preference information associated with changes in preferences.
　以下、本発明の実施の形態に係る情報処理装置及びプログラムの特徴について再度述べる。 Hereinafter, the characteristics of the information processing apparatus and the program according to the embodiment of the present invention will be described again.
　本発明の実施の形態に係る情報処理装置は、ユーザの温度又は人体に関する特性情報を取得する取得手段と、前記特性情報に基づき各ユーザの空調環境に対する嗜好を推定して当該ユーザの嗜好情報を生成するユーザ嗜好推定手段と、前記空調環境の状況を表す環境データ及び前記嗜好情報に基づき当該ユーザの空調環境における快適性を示す快適度情報を生成する快適度情報生成手段と、を有するものである。 An information processing apparatus according to an embodiment of the present invention includes an acquisition unit that acquires characteristic information about a user's temperature or a human body, and estimates each user's preference for an air-conditioning environment based on the characteristic information to obtain the user's preference information. User preference estimation means for generating, comfort level information generation means for generating comfort level information indicating comfort in the air conditioning environment of the user based on environmental data representing the status of the air conditioning environment and the preference information. is there.
　また、前記ユーザ嗜好推定手段は、前記特性情報として取得した外部環境嗜好情報であってユーザが前記空調環境を形成する空間以外の外部空間に所在しているときの温度に対する嗜好を示す外部環境嗜好情報に基づき当該ユーザの空調環境に対する嗜好を推定するものである。 In addition, the user preference estimation means is external environment preference information acquired as the characteristic information, and indicates the preference for the temperature when the user is located in an external space other than the space forming the air conditioning environment. Based on the information, the user's preference for the air-conditioning environment is estimated.
　また、前記ユーザ嗜好推定手段は、ユーザが前記外部空間として当該ユーザの生活空間に所在しているときの前記外部環境嗜好情報を取得し、その取得した前記外部環境嗜好情報に基づき当該ユーザの空調環境に対する嗜好を推定するものである。 Further, the user preference estimation means acquires the external environment preference information when the user is located in the user's living space as the external space, and the user's air conditioning based on the acquired external environment preference information Estimate environmental preferences.
　また、前記ユーザ嗜好推定手段は、ユーザが個人使用するユーザ端末から送信されてくる前記外部環境嗜好情報を取得するものである。 Further, the user preference estimation means acquires the external environment preference information transmitted from the user terminal used by the user personally.
　また、前記ユーザ嗜好推定手段は、当該ユーザの生活空間の空調管理を行うホームエネルギーマネージメントシステムにより収集された当該ユーザの生活空間の設定温度の履歴データを前記外部環境嗜好情報として取得するものである。 In addition, the user preference estimation unit acquires history data of the set temperature of the user's living space collected by a home energy management system that performs air conditioning management of the user's living space as the external environment preference information. .
　また、前記ユーザ嗜好推定手段は、前記特性情報として取得した人体特性情報であってユーザが前記空調環境に所在しているときに得られる当該ユーザの人体の特性を示す人体特性情報及び前記空調環境の状況を表す環境データに基づき当該ユーザの空調環境に対する嗜好を推定するものである。 In addition, the user preference estimation unit is human body characteristic information acquired as the characteristic information, and is obtained when the user is located in the air conditioning environment. The user's preference for the air-conditioning environment is estimated based on the environmental data representing the situation.
　また、前記ユーザ嗜好推定手段は、ユーザの運動量に関する情報を前記人体特性情報として取得するものである。 Further, the user preference estimation means acquires information on the amount of exercise of the user as the human body characteristic information.
　また、前記ユーザ嗜好推定手段は、ユーザの皮膚温に関する情報を前記人体特性情報として取得するものである。 Further, the user preference estimation means acquires information on the user's skin temperature as the human body characteristic information.
　また、前記ユーザ嗜好推定手段は、ユーザの肌水分量に関する情報を前記人体特性情報として取得するものである。 Further, the user preference estimation means acquires information on the skin moisture content of the user as the human body characteristic information.
　本発明の実施の形態に係るプログラムは、コンピュータを、ユーザの温度又は人体に関する特性情報を取得する取得手段、前記特性情報に基づき各ユーザの空調環境に対する嗜好を推定して当該ユーザの嗜好情報を生成するユーザ嗜好推定手段、前記空調環境の状況を表す環境データ及び前記嗜好情報に基づき当該ユーザの空調環境における快適性を示す快適度情報を生成する快適度情報生成手段、として機能させるためのものである。 The program according to the embodiment of the present invention includes a computer that obtains characteristic information relating to a user's temperature or human body, estimates a preference for each user's air-conditioning environment based on the characteristic information, and obtains the user's preference information. For functioning as user preference estimation means to be generated, environment data representing the condition of the air conditioning environment, and comfort level information generation means for generating comfort level information indicating comfort in the air conditioning environment of the user based on the preference information It is.
　１　外部装置、１０　情報処理装置、１１　環境データ取得部、１２　ユーザ嗜好生成部、１３　快適度情報生成部、１４　表示部、１５　属性情報記憶部、１６　嗜好情報記憶部、１７　快適度情報記憶部、１８　人体特性情報取得部、１９　人体特性情報記憶部、２１　ＣＰＵ、２２　ＲＯＭ、２３　ＲＡＭ、２４　ハードディスクドライブ（ＨＤＤ）、２５　マウス、２６　キーボード、２７　ディスプレイ、２８　入出力コントローラ、２９　ネットワークコントローラ、３０　内部バス。 1 external device, 10 information processing device, 11 environmental data acquisition unit, 12 user preference generation unit, 13 comfort level information generation unit, 14 display unit, 15 attribute information storage unit, 16 preference information storage unit, 17 comfort level information storage unit 18, human body characteristic information acquisition unit, 19 human body characteristic information storage unit, 21 CPU, 22 ROM, 23 RAM, 24 hard disk drive (HDD), 25 mouse, 26 keyboard, 27 display, 28 I / O controller, 29 network controller, 30 Internal bus.

Claims (20)

  1. 　ユーザの温度又は人体に関する特性情報を取得し、前記特性情報に基づき各ユーザの空調環境に対する嗜好を推定して当該ユーザの嗜好情報を生成するユーザ嗜好生成部と、
    　前記空調環境の状況を表す環境データ及び前記嗜好情報に基づき当該ユーザの空調環境における快適性を示す快適度情報を生成する快適度情報生成部と、
    を有する情報処理装置。     A user preference generation unit that acquires characteristic information related to a user's temperature or human body, estimates a preference for each user's air conditioning environment based on the characteristic information, and generates the user's preference information;
    A comfort level information generating unit that generates comfort level information indicating comfort in the air conditioning environment of the user based on environmental data representing the status of the air conditioning environment and the preference information;
    An information processing apparatus.
  2. 　前記ユーザ嗜好生成部は、前記特性情報として取得した外部環境嗜好情報であってユーザが前記空調環境を形成する空間以外の外部空間に所在しているときの温度に対する嗜好を示す外部環境嗜好情報に基づき当該ユーザの空調環境に対する嗜好を推定する請求項１に記載の情報処理装置。 The user preference generation unit is external environment preference information acquired as the characteristic information, and external preference information indicating a preference for temperature when the user is located in an external space other than the space forming the air-conditioning environment. The information processing apparatus according to claim 1, wherein the user's preference for the air-conditioning environment is estimated based on the information processing apparatus.
  3. 　前記ユーザ嗜好生成部は、ユーザが前記外部空間として当該ユーザの生活空間に所在しているときの前記外部環境嗜好情報を取得し、その取得した前記外部環境嗜好情報に基づき当該ユーザの空調環境に対する嗜好を推定する請求項２に記載の情報処理装置。 The user preference generation unit acquires the external environment preference information when the user is located in the user's living space as the external space, and based on the acquired external environment preference information, the user preference generation unit The information processing apparatus according to claim 2, wherein preference is estimated.
  4. 　前記ユーザ嗜好生成部は、ユーザが個人使用するユーザ端末から送信されてくる前記外部環境嗜好情報を取得する請求項３に記載の情報処理装置。 The information processing apparatus according to claim 3, wherein the user preference generation unit acquires the external environment preference information transmitted from a user terminal used by a user personally.
  5. 　前記ユーザ嗜好生成部は、当該ユーザの生活空間の空調管理を行うホームエネルギーマネージメントシステムにより収集された当該ユーザの生活空間の設定温度の履歴データを前記外部環境嗜好情報として取得する請求項３に記載の情報処理装置。 The said user preference production | generation part acquires the historical data of the setting temperature of the said user's living space collected by the home energy management system which performs the air-conditioning management of the said user's living space as said external environment preference information. Information processing device.
  6. 　前記ユーザ嗜好生成部は、前記特性情報として取得した人体特性情報であってユーザが前記空調環境に所在しているときに得られる当該ユーザの人体の特性を示す人体特性情報及び前記空調環境の状況を表す環境データに基づき当該ユーザの空調環境に対する嗜好を推定する請求項１に記載の情報処理装置。 The user preference generation unit is human body characteristic information acquired as the characteristic information and is obtained when the user is located in the air-conditioning environment. The information processing apparatus according to claim 1, wherein the user's preference for the air-conditioning environment is estimated based on the environmental data representing.
  7. 　前記ユーザ嗜好生成部は、ユーザの運動量に関する情報を前記人体特性情報として取得する請求項６に記載の情報処理装置。 The information processing apparatus according to claim 6, wherein the user preference generation unit acquires information related to a user's exercise amount as the human body characteristic information.
  8. 　前記ユーザ嗜好生成部は、ユーザの皮膚温に関する情報を前記人体特性情報として取得する請求項６に記載の情報処理装置。 The information processing apparatus according to claim 6, wherein the user preference generation unit acquires information relating to a user's skin temperature as the human body characteristic information.
  9. 　前記ユーザ嗜好生成部は、ユーザの肌水分量に関する情報を前記人体特性情報として取得する請求項６に記載の情報処理装置。 The information processing apparatus according to claim 6, wherein the user preference generation unit acquires information related to a user's skin moisture content as the human body characteristic information.
  10. 　コンピュータに、
    　ユーザの温度又は人体に関する特性情報を取得し、前記特性情報に基づき各ユーザの空調環境に対する嗜好を推定して当該ユーザの嗜好情報を生成する処理と、
    　前記空調環境の状況を表す環境データ及び前記嗜好情報に基づき当該ユーザの空調環境における快適性を示す快適度情報を生成する処理と、
    を実行させるプログラム。     On the computer,
    Processing for obtaining characteristic information related to the user's temperature or human body, generating preference information of the user by estimating each user's preference for the air-conditioning environment based on the characteristic information;
    Processing for generating comfort level information indicating comfort in the air conditioning environment of the user based on environmental data representing the status of the air conditioning environment and the preference information;
    A program that executes
  11. 　ユーザの温度又は人体に関する特性情報を取得する取得手段と、
    　前記特性情報に基づき各ユーザの空調環境に対する嗜好を推定して当該ユーザの嗜好情報を生成するユーザ嗜好推定手段と、
    　前記空調環境の状況を表す環境データ及び前記嗜好情報に基づき当該ユーザの空調環境における快適性を示す快適度情報を生成する快適度情報生成手段と、
    を有する情報処理装置。     Acquisition means for acquiring characteristic information about the user's temperature or human body;
    User preference estimation means for generating preference information of the user by estimating preference of each user for the air-conditioning environment based on the characteristic information;
    Comfort level information generating means for generating comfort level information indicating comfort in the air conditioning environment of the user based on environmental data representing the status of the air conditioning environment and the preference information;
    An information processing apparatus.
  12. 　前記ユーザ嗜好推定手段は、前記特性情報として取得した外部環境嗜好情報であってユーザが前記空調環境を形成する空間以外の外部空間に所在しているときの温度に対する嗜好を示す外部環境嗜好情報に基づき当該ユーザの空調環境に対する嗜好を推定する請求項１１に記載の情報処理装置。 The user preference estimation means is external environment preference information acquired as the characteristic information, and external preference information indicating a preference for temperature when the user is located in an external space other than the space forming the air-conditioning environment. The information processing apparatus according to claim 11, wherein the user's preference for the air conditioning environment is estimated.
  13. 　前記ユーザ嗜好推定手段は、ユーザが前記外部空間として当該ユーザの生活空間に所在しているときの前記外部環境嗜好情報を取得し、その取得した前記外部環境嗜好情報に基づき当該ユーザの空調環境に対する嗜好を推定する請求項１２に記載の情報処理装置。 The user preference estimation means acquires the external environment preference information when the user is located in the user's living space as the external space, and based on the acquired external environment preference information, the user preference estimation unit The information processing apparatus according to claim 12, wherein preference is estimated.
  14. 　前記ユーザ嗜好推定手段は、ユーザが個人使用するユーザ端末から送信されてくる前記外部環境嗜好情報を取得する請求項１３に記載の情報処理装置。 14. The information processing apparatus according to claim 13, wherein the user preference estimation unit acquires the external environment preference information transmitted from a user terminal used by a user for personal use.
  15. 　前記ユーザ嗜好推定手段は、当該ユーザの生活空間の空調管理を行うホームエネルギーマネージメントシステムにより収集された当該ユーザの生活空間の設定温度の履歴データを前記外部環境嗜好情報として取得する請求項１３に記載の情報処理装置。 The said user preference estimation means acquires the historical data of the setting temperature of the said user's living space collected by the home energy management system which performs the air-conditioning management of the said user's living space as said external environment preference information. Information processing device.
  16. 　前記ユーザ嗜好推定手段は、前記特性情報として取得した人体特性情報であってユーザが前記空調環境に所在しているときに得られる当該ユーザの人体の特性を示す人体特性情報及び前記空調環境の状況を表す環境データに基づき当該ユーザの空調環境に対する嗜好を推定する請求項１１に記載の情報処理装置。 The user preference estimation means is human body characteristic information acquired as the characteristic information, and is obtained when the user is located in the air conditioning environment. The human body characteristic information indicating the characteristics of the user's human body and the condition of the air conditioning environment The information processing apparatus according to claim 11, wherein the user's preference for the air-conditioning environment is estimated based on environment data representing
  17. 　前記ユーザ嗜好推定手段は、ユーザの運動量に関する情報を前記人体特性情報として取得する請求項１６に記載の情報処理装置。 The information processing apparatus according to claim 16, wherein the user preference estimation unit acquires information related to a user's exercise amount as the human body characteristic information.
  18. 　前記ユーザ嗜好推定手段は、ユーザの皮膚温に関する情報を前記人体特性情報として取得する請求項１６に記載の情報処理装置。 The information processing apparatus according to claim 16, wherein the user preference estimation unit acquires information relating to a user's skin temperature as the human body characteristic information.
  19. 　前記ユーザ嗜好推定手段は、ユーザの肌水分量に関する情報を前記人体特性情報として取得する請求項１６に記載の情報処理装置。 The information processing apparatus according to claim 16, wherein the user preference estimation unit acquires information related to a user's skin moisture content as the human body characteristic information.
  20. 　コンピュータを、
    　ユーザの温度又は人体に関する特性情報を取得する取得手段、
    　前記特性情報に基づき各ユーザの空調環境に対する嗜好を推定して当該ユーザの嗜好情報を生成するユーザ嗜好推定手段、及び、
    　前記空調環境の状況を表す環境データ及び前記嗜好情報に基づき当該ユーザの空調環境における快適性を示す快適度情報を生成する快適度情報生成手段、
    として機能させるためのプログラム。     Computer
    Acquisition means for acquiring characteristic information about the user's temperature or human body;
    User preference estimation means for generating preference information of the user by estimating the preference of each user based on the characteristic information, and
    Comfort level information generating means for generating comfort level information indicating comfort in the air conditioning environment of the user based on environmental data representing the status of the air conditioning environment and the preference information;
    Program to function as.
PCT/JP2017/000292 2016-08-25 2017-01-06 Information processing device and program WO2018037584A1 (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2019186993A1 (en) * 2018-03-30 2019-10-03 三菱電機株式会社 Terminal apparatus, device control system, device control method, and program
JPWO2021199381A1 (en) * 2020-04-01 2021-10-07

Families Citing this family (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2020208933A1 (en) * 2019-04-10 2020-10-15 日本電気株式会社 Physiological state control device, physiological state characteristic display device, physiological state control method, physiological state characteristic display method, and computer-readable recording medium storing program
JP6880154B2 (en) * 2019-11-20 2021-06-02 ソフトバンク株式会社 Information processing equipment, information processing methods and information processing programs
JP2022026107A (en) * 2020-07-30 2022-02-10 ダイキン工業株式会社 Temperature estimation device, air conditioner and temperature calculation method
WO2024004465A1 (en) * 2022-06-30 2024-01-04 パナソニックＩｐマネジメント株式会社 Environment control system, environment adjustment system, environment control method, and program

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2008121963A (en) * 2006-11-10 2008-05-29 Tokai Rika Co Ltd Comfortable environment providing system
US20130325196A1 (en) * 2012-05-31 2013-12-05 International Business Machines Corporation Personalized heating and cooling systems
US20140180480A1 (en) * 2012-12-20 2014-06-26 Industrial Technology Research Institute Comfort control system, user-end subsystem thereof, and system-end device thereof
JP2015164844A (en) * 2013-05-17 2015-09-17 パナソニック インテレクチュアル プロパティ コーポレーション オブアメリカＰａｎａｓｏｎｉｃ Ｉｎｔｅｌｌｅｃｔｕａｌ Ｐｒｏｐｅｒｔｙ Ｃｏｒｐｏｒａｔｉｏｎ ｏｆ Ａｍｅｒｉｃａ Control apparatus, humidity calculation method, and control method
JP2015232408A (en) * 2014-06-09 2015-12-24 パナソニックＩｐマネジメント株式会社 Environment control system
US20160018119A1 (en) * 2012-10-31 2016-01-21 James M. Desmet Integrated thermal comfort control system utilizing circulating fans
US20160116178A1 (en) * 2014-10-23 2016-04-28 Vivint, Inc. Real-time temperature management
US20160116181A1 (en) * 2014-10-28 2016-04-28 Airadvice For Homes, Inc. Indoor air quality sense and control system

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2008121963A (en) * 2006-11-10 2008-05-29 Tokai Rika Co Ltd Comfortable environment providing system
US20130325196A1 (en) * 2012-05-31 2013-12-05 International Business Machines Corporation Personalized heating and cooling systems
US20160018119A1 (en) * 2012-10-31 2016-01-21 James M. Desmet Integrated thermal comfort control system utilizing circulating fans
US20140180480A1 (en) * 2012-12-20 2014-06-26 Industrial Technology Research Institute Comfort control system, user-end subsystem thereof, and system-end device thereof
JP2015164844A (en) * 2013-05-17 2015-09-17 パナソニック インテレクチュアル プロパティ コーポレーション オブアメリカＰａｎａｓｏｎｉｃ Ｉｎｔｅｌｌｅｃｔｕａｌ Ｐｒｏｐｅｒｔｙ Ｃｏｒｐｏｒａｔｉｏｎ ｏｆ Ａｍｅｒｉｃａ Control apparatus, humidity calculation method, and control method
JP2015232408A (en) * 2014-06-09 2015-12-24 パナソニックＩｐマネジメント株式会社 Environment control system
US20160116178A1 (en) * 2014-10-23 2016-04-28 Vivint, Inc. Real-time temperature management
US20160116181A1 (en) * 2014-10-28 2016-04-28 Airadvice For Homes, Inc. Indoor air quality sense and control system

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2019186993A1 (en) * 2018-03-30 2019-10-03 三菱電機株式会社 Terminal apparatus, device control system, device control method, and program
JPWO2019186993A1 (en) * 2018-03-30 2020-12-03 三菱電機株式会社 Terminal devices, device control systems, device control methods and programs
JPWO2021199381A1 (en) * 2020-04-01 2021-10-07
JP7199597B2 (en) 2020-04-01 2023-01-05 三菱電機株式会社 Air conditioning system and method for controlling air conditioner

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