Warm and cool sensation estimation device, warm and cool sensation estimation method, and warm and cool sensation estimation program

Abstract

The walking speed scale receiving section (111) receives a walking speed scale input as a scale indicating the walking speed of a user. The walking time acquiring section (120) acquires walking time information indicating the length of time of walking by the user as a walking time. The thermal sensation estimating section (130) estimates the thermal sensation after walking by the user based on the received walking speed scale and the acquired walking time information as utilization information.

Description

Technical Field

[0001] This disclosure relates to techniques for estimating a user's temperature sensation after walking. Background Technology

[0002] Patent document 1 discloses a technology for controlling an air conditioner.

[0003] In this technology, outdoor movement data (movement amount, movement speed) is acquired when a user (subject) returns indoors after outdoor activities. Next, the user's metabolic rate is calculated based on the acquired data. Then, the air conditioner is controlled so that the PMV (Personal Mobility Value), based on the user's metabolic rate, the air conditioner's airflow temperature, and the air conditioner's airflow humidity, falls within a comfortable range.

[0004] Use smartphone location information to obtain outdoor mobility data.

[0005] The location information of a smartphone can be obtained through satellite positioning systems (GPS, GNSS, etc.), but it contains an error of about 1 meter to 100 meters.

[0006] Therefore, the accuracy of mobile data obtained using smartphone location information is low.

[0007] GPS is short for Global Positioning System.

[0008] GNSS is short for Global Navigation Satellite System.

[0009] Existing technical documents

[0010] Patent documents

[0011] Patent Document 1: International Publication No. 2008 / 087959 Summary of the Invention

[0012] The problem that the invention aims to solve

[0013] In the technology of Patent Document 1, because it uses low-precision motion data, it is impossible to accurately calculate the user's metabolic rate. Therefore, it is impossible to optimally control the air conditioner for the user.

[0014] The purpose of this disclosure is to enable a more accurate estimation of a user's temperature sensation after walking.

[0015] Methods for solving problems

[0016] The temperature / coldness estimation device disclosed herein includes: a walking speed scale receiving unit that receives a walking speed scale input as a scale representing a user's walking speed; a walking time acquisition unit that acquires walking time information, which indicates the length of time the user walks as the walking time; and

[0017] The temperature and coldness estimation unit uses the received walking speed scale and the obtained walking time information as utilization information to estimate the user's temperature and coldness after walking.

[0018] Invention Effects

[0019] According to this disclosure, it is possible to more accurately estimate the user's temperature sensation after walking. Attached Figure Description

[0020] Figure 1 This is a structural diagram of the temperature and coldness estimation device 100 in Embodiment 1.

[0021] Figure 2 This is a flowchart of the temperature and coldness estimation method in Implementation 1.

[0022] Figure 3 This is a graph used to illustrate walking speed based on location information.

[0023] Figure 4 This is a structural diagram of the temperature and coldness estimation device 100 in Embodiment 2.

[0024] Figure 5 This is a flowchart of the temperature and coldness estimation method in Implementation Method 2.

[0025] Figure 6 This is a structural diagram of the temperature and coldness estimation device 100 in embodiment 3.

[0026] Figure 7 This is a flowchart of the temperature and coldness estimation method in Implementation Method 3.

[0027] Figure 8 This is a structural diagram of the temperature and coldness estimation device 100 in the embodiment of implementation method 3.

[0028] Figure 9 This is a flowchart of the temperature and coldness estimation method in the embodiment of implementation method 3.

[0029] Figure 10 This is a structural diagram of the temperature and coldness estimation device 100 in embodiment 4.

[0030] Figure 11 This is a flowchart of the temperature and coldness estimation method in Implementation Method 4.

[0031] Figure 12This is a structural diagram of the temperature and coldness estimation device 100 in the embodiment of implementation method 4.

[0032] Figure 13 This is a flowchart of the temperature and coldness estimation method in the embodiment of implementation method 4.

[0033] Figure 14 This is a structural diagram of the temperature and coldness estimation device 100 in embodiment 5.

[0034] Figure 15 This is a flowchart of the temperature and coldness estimation method in Implementation Method 5.

[0035] Figure 16 This is a structural diagram of the temperature and coldness estimation device 100 in embodiment 6.

[0036] Figure 17 This is a flowchart of the temperature and coldness estimation method in Implementation Method 6.

[0037] Figure 18 This is a structural diagram of the temperature and coldness estimation device 100 in the embodiment of implementation method 6.

[0038] Figure 19 This is a flowchart of the temperature and coldness estimation method in the embodiment of implementation method 6.

[0039] Figure 20 This is a structural diagram of the temperature and coldness estimation device 100 in embodiment 7.

[0040] Figure 21 This is a flowchart of the temperature and coldness estimation method in Implementation Method 7.

[0041] Figure 22 This is a diagram showing an example of a walkable area in Implementation Method 7.

[0042] Figure 23 This is a diagram showing an example of a walkable area in Implementation Method 7.

[0043] Figure 24 This is a structural diagram of the temperature and coldness estimation device 100 in the embodiment of implementation method 7.

[0044] Figure 25 This is a flowchart of the temperature and coldness estimation method in the embodiment of implementation method 7.

[0045] Figure 26 This is a structural diagram of the temperature and coldness estimation device 100 in embodiment 8.

[0046] Figure 27 This is a flowchart of the temperature and coldness estimation method in Implementation Method 8.

[0047] Figure 28This is a diagram showing an example of the walking start area in implementation method 8.

[0048] Figure 29 This is a structural diagram of the temperature and coldness estimation device 100 in the embodiment of implementation method 8.

[0049] Figure 30 This is a flowchart of the temperature and coldness estimation method in the embodiment of implementation method 8.

[0050] Figure 31 This is a structural diagram of the temperature and coldness estimation device 100 in embodiment 9.

[0051] Figure 32 This is a flowchart of the positioning function control (A) in implementation method 9.

[0052] Figure 33 This is a flowchart of the positioning function control (B) in implementation method 9.

[0053] Figure 34 This is a structural diagram of the temperature and coldness estimation device 100 in the embodiment of implementation method 9.

[0054] Figure 35 This is a structural diagram of the temperature and coldness estimation device 100 in embodiment 10.

[0055] Figure 36 This is a flowchart of the temperature and coldness estimation method in Implementation 10.

[0056] Figure 37 This is a structural diagram of the temperature and coldness estimation device 100 in the embodiment of implementation method 10.

[0057] Figure 38 This is a flowchart of the temperature and coldness estimation method in the embodiment of implementation method 10.

[0058] Figure 39 This is a structural diagram of the temperature and coldness estimation device 100 in embodiment 11.

[0059] Figure 40 This is a flowchart of the temperature and coldness estimation method in Implementation Method 11.

[0060] Figure 41 This is a structural diagram of the temperature and coldness estimation device 100 in the embodiment of implementation method 11.

[0061] Figure 42 This is a flowchart of the temperature and coldness estimation method in the embodiment of implementation method 11.

[0062] Figure 43 This is a structural diagram of the temperature and coldness estimation device 100 in embodiment 12.

[0063] Figure 44 This is a flowchart of the temperature and coldness estimation method in Implementation Method 12.

[0064] Figure 45 This is a structural diagram of the temperature and coldness estimation device 100 in the embodiment of implementation method 12.

[0065] Figure 46 This is a flowchart of the temperature and coldness estimation method in the embodiment of implementation method 12.

[0066] Figure 47 This is a hardware structure diagram of the temperature and coldness estimation device 100 in the implementation method. Detailed Implementation

[0067] In the embodiments and accompanying drawings, the same or corresponding elements are labeled with the same reference numerals. Descriptions of elements labeled with the same reference numerals as those already described are appropriately omitted or simplified. Arrows in the figures primarily indicate data flow or processing flow.

[0068] Implementation method 1.

[0069] based on Figures 1 to 3 The method for estimating the user's temperature sensation after walking is explained.

[0070] Structural description

[0071] based on Figure 1 Explain the structure of the temperature and coldness estimation device 100.

[0072] The temperature / coolness estimation device 100 is implemented by a user terminal held by the user during walking. Examples of user terminals include smartphones and wearable terminals. An example of a wearable terminal is a smartwatch.

[0073] The temperature and coldness estimation device 100 is a computer equipped with hardware such as a processor 101, a memory 102, an auxiliary storage device 103, a communication device 104, and an input / output interface 105. These hardware components are interconnected via signal lines.

[0074] Processor 101 is an IC that performs computational processing and controls other hardware. For example, processor 101 is a CPU.

[0075] IC is short for Integrated Circuit.

[0076] CPU is short for Central Processing Unit.

[0077] Memory 102 is a volatile or non-volatile storage device. Memory 102 is also referred to as main storage device or main memory. For example, memory 102 is RAM. Data stored in memory 102 is stored in auxiliary storage device 103 as needed.

[0078] RAM is short for Random Access Memory.

[0079] Auxiliary storage device 103 is a non-volatile storage device. For example, auxiliary storage device 103 is ROM, HDD, flash memory, or a combination thereof. Data stored in auxiliary storage device 103 is loaded into memory 102 as needed.

[0080] ROM is short for Read Only Memory.

[0081] HDD is short for Hard Disk Drive.

[0082] The communication device 104 is both a receiver and a transmitter. For example, the communication device 104 is a communication chip or a NIC. Communication of the temperature and coldness estimation device 100 is performed using the communication device 104.

[0083] NIC is short for Network Interface Card.

[0084] The input / output interface 105 includes input devices, output devices, and input / output ports. For example, input devices may be a touch panel and a microphone, while output devices may be a display and a speaker. The input and output of the temperature / coolness estimation device 100 are performed using the input / output interface 105.

[0085] The temperature and coldness estimation device 100 includes a walking speed measurement unit 111, a walking time acquisition unit 120, and a temperature and coldness estimation unit 130. The walking time acquisition unit 120 includes a walking time measurement unit 121. These elements are implemented by software.

[0086] The auxiliary storage device 103 stores a temperature and coldness estimation program for enabling the computer to function as a walking speed measurement unit 111, a walking time acquisition unit 120, and a temperature and coldness estimation unit 130. The temperature and coldness estimation program is loaded into the memory 102 and executed by the processor 101.

[0087] The OS is also stored in the auxiliary storage device 103. At least a portion of the OS is loaded into the memory 102 and executed by the processor 101.

[0088] The processor 101 executes the OS while simultaneously running a temperature and coldness estimation program.

[0089] OS is short for Operating System.

[0090] The input and output data of the temperature and coldness estimation program are stored in storage unit 190.

[0091] The memory 102 functions as the storage unit 190. However, auxiliary storage devices such as the auxiliary storage device 103, registers within the processor 101, and cache memory within the processor 101 may also replace the memory 102 or function as the storage unit 190 together with the memory 102.

[0092] Temperature and coldness estimation programs can be recorded (saved) in a computer-readable manner on non-volatile recording media such as optical discs or flash memory.

[0093] Description of the action

[0094] The operation steps of the temperature and coldness estimation device 100 are equivalent to those of the temperature and coldness estimation method. Furthermore, the operation steps of the temperature and coldness estimation device 100 are equivalent to the processing steps of the temperature and coldness estimation procedure.

[0095] based on Figure 2 Explain the method for estimating temperature and coldness.

[0096] In step S011, the walking speed scale receiving unit 111 receives the walking speed scale input to the temperature and coldness estimation device 100.

[0097] Walking speed is a measure of a user's walking speed. Walking speed is the speed at which a user is walking.

[0098] For example, walking speed can be represented by a three-level sequential scale: "slow," "normal," and "fast." However, walking speed can also be represented by a two-level or four-level sequential scale.

[0099] Use the user interface to input your walking speed scale. That is, the walking speed scale is a value declared by the user (declared value).

[0100] For example, accept walking speed as follows.

[0101] First, after walking, the user operates the user terminal to activate the temperature and coldness estimation device 100.

[0102] Next, the walking speed scale receiving unit 111 displays the scale input screen on the monitor. The scale input screen has a graphical user interface (GUI) for inputting walking speed scales.

[0103] Next, the user operates the user terminal to input the walking speed scale into the scale input screen.

[0104] Then, the walking speed scale receiving unit 111 accepts the input walking speed scale.

[0105] In step S012, the walking time acquisition unit 120 acquires walking time information.

[0106] Walking time information indicates walking time.

[0107] Walking time represents the length of time a user spends walking. Specifically, walking time is the total time a user spends walking.

[0108] Specifically, the walking time receiving unit 121 receives walking time information input into the temperature and coldness estimation device 100.

[0109] Use the user interface to input walking time information. That is, the walking time is a value declared by the user (declared value).

[0110] For example, accept walking time information as follows.

[0111] First, after walking, the user operates the user terminal to activate the temperature and coldness estimation device 100.

[0112] Next, the walking time processing unit 121 displays the time input screen on the monitor. The time input screen has a graphical user interface (GUI) for inputting walking time.

[0113] Next, the user operates the user terminal to input the walking time information into the time input screen.

[0114] Then, the walking time processing unit 121 accepts the entered walking time information.

[0115] Steps S011 and S012 can also be executed in reverse order.

[0116] After steps S011 and S012, the process proceeds to step S013.

[0117] In step S013, the temperature and coldness estimation unit 130 uses the received walking speed scale and the obtained walking time information as utilization information to estimate the user's temperature and coldness after walking.

[0118] Temperature and coldness are estimated using an estimation model that takes information as input.

[0119] Multiple regression models or machine learning models are used as estimation models.

[0120] When using machine learning models, support vector machines, random forests, XGBoost, etc. are used.

[0121] The sensation of warmth or coldness can be represented by real values ​​or by an ordinal scale.

[0122] For example, the feeling of warmth or coldness is represented by numerical values ​​from 1 to N.

[0123] For example, the sensation of warmth or coldness is expressed in an ordered scale of N levels, including "cold," "normal," "hot," etc.

[0124] After step S013, the processing of the temperature and coldness estimation method ends.

[0125] Effects of Implementation Method 1

[0126] Implementation method 1 uses a walking speed scale (user's reported value) instead of location-based walking speed to more reasonably estimate the user's temperature sensation after walking.

[0127] The estimated temperature and cooling sensation can be used, for example, to optimally control the indoor unit of a packaged air conditioner (PAC).

[0128] based on Figure 3 This section explains walking speed based on location information.

[0129] Calculate walking speed using location information as follows. Location information is obtained from GPS or GNSS, etc.

[0130] (1) Calculate the distance between the two locations based on their location information, and calculate the walking speed between the two locations based on the distance between them and the walking time between them. Then, average the walking speed from the starting point to the ending point of the walk.

[0131] (2) Calculate the distance between the two locations based on their location information, and accumulate the distances between the two locations to calculate the total walking distance. Then, divide the total walking distance by the total walking time to calculate the walking speed.

[0132] The accuracy of location information is approximately 1 to 100 meters. Therefore, the maximum error in the distance between two locations is 200 meters. That is, in (1), the accuracy of walking speed between two locations may be low. If location information is obtained once every 10 seconds, the maximum error in the total walking distance is 1200 meters / minute. That is, in (2), the accuracy of walking speed may be low.

[0133] Users are not always walking; they stop while waiting for traffic lights, etc. Therefore, location information is used to determine walking / stopping time to ascertain walking time or total walking time. However, as mentioned above, there is a possibility of low accuracy in walking speed, making it difficult to determine walking / stopping using threshold judgments or similar methods. Using an accelerometer within the device to determine walking / stopping was also considered. However, accelerometer readings are model / individual dependent, and using an accelerometer increases the device's power consumption. Therefore, using an accelerometer is deemed impractical.

[0134] Therefore, it is considered inappropriate to use location-based walking speed.

[0135] Therefore, Implementation 1 estimates the temperature sensation after walking based on the user's walking speed scale (slow, normal, fast, etc.) and the user's walking time.

[0136] Walking speed is a reported value, thus relying on user subjectivity; however, a unique walking speed scale can be obtained for all users. Therefore, it is possible to more reasonably estimate the temperature sensation after walking. Furthermore, it is independent of the terminal used; anyone can use any smartphone to estimate the temperature sensation after walking. Consequently, it is possible to estimate the temperature sensation after walking while minimizing terminal power consumption.

[0137] Implementation method 2.

[0138] Regarding methods for estimating post-walking temperature sensations by considering the walking environment instead of walking speed, based on... Figure 4 and Figure 5 The main points that differ from Implementation Method 1 are explained.

[0139] Structural description

[0140] based on Figure 4 This explains the structure of the temperature and coldness estimation device 100.

[0141] The temperature and coldness estimation device 100 has a walking environment acquisition unit 112 instead of a walking speed scale receiving unit 111.

[0142] The temperature and coldness estimation program enables the computer to replace the walking speed scale receiving unit 111 and function as the walking environment acquisition unit 112.

[0143] Description of the action

[0144] based on Figure 5 Explain the method for estimating temperature and coldness.

[0145] In step S021, the walking environment acquisition unit 112 acquires walking environment information.

[0146] Pedestrian environment information refers to the environmental information of a pedestrian area.

[0147] The pedestrian zone is the area where users walk.

[0148] Environmental information refers to information about the outdoor environment that affects a user's perception of temperature.

[0149] For example, pedestrian environment information includes temperature, humidity, and sunshine in Ofuna A-chome, Kamakura City, Kanagawa Prefecture.

[0150] Pedestrian environment information is obtained as follows.

[0151] The pedestrian area information is pre-stored in the storage unit 190. The pedestrian area information represents the pedestrian area.

[0152] The pedestrian environment acquisition unit 112 sends pedestrian area information to the environmental information server and receives environmental information about the pedestrian area from the environmental information server. The received environmental information becomes pedestrian environment information.

[0153] An environmental information server is a device that provides environmental information.

[0154] An example of an environmental information server is a weather forecast server. Weather forecast servers are used by meteorological bureaus or commercial services to provide weather information for various regions.

[0155] Pedestrian environment information can also be obtained as follows. The outdoor unit of an air conditioner is referred to as the outdoor unit.

[0156] Various sensors are installed on the outdoor unit. These sensors include temperature sensors and humidity sensors, among others. The data obtained from these sensors is called sensor data. Sensor data represents information such as temperature and humidity.

[0157] The pedestrian environment acquisition unit 112 communicates with the outdoor unit installed in the pedestrian area to receive sensor data from various sensors. The received sensor data becomes pedestrian environment information.

[0158] Environmental information can also be information about the indoor environment.

[0159] Various sensors are installed in the building.

[0160] The pedestrian environment acquisition unit 112 communicates with various sensors in buildings constructed in the pedestrian area to receive sensor data. The received sensor data becomes pedestrian environment information.

[0161] In step S022, the walking time acquisition unit 120 acquires walking time information.

[0162] Step S022 is the same as step S012 in Embodiment 1.

[0163] Steps S021 and S022 can also be performed in reverse order.

[0164] After steps S021 and S022, the process proceeds to step S023.

[0165] In step S023, the temperature and coldness estimation unit 130 uses the acquired walking environment information and the acquired walking time information as utilization information to estimate the user's temperature and coldness after walking.

[0166] Step S023 is equivalent to step S013, which is obtained by replacing the walking speed scale with walking environment information (see Implementation 1).

[0167] After step S023, the processing of the temperature and coldness estimation method ends.

[0168] Effects of Implementation Method 2

[0169] The feeling of temperature after walking depends not only on walking speed and walking time, but also on the temperature environment of the walking location (high / low air temperature, etc.).

[0170] In Implementation 2, the temperature or cold sensation after walking is estimated by using environmental information of the walking path (temperature, humidity, sunshine, etc.) and walking time.

[0171] By utilizing environmental information instead of walking speed, the perceived temperature after walking can be estimated more accurately. Furthermore, it is independent of the device used; anyone can use any smartphone to estimate the perceived temperature after walking. Consequently, it is possible to estimate the perceived temperature while minimizing device power consumption.

[0172] Implementation method 3.

[0173] Regarding the method of estimating the temperature sensation after walking by considering attributes related to the user's walking, based on... Figures 6 to 9 The main points that differ from Implementation Method 1 are explained.

[0174] Structural description

[0175] based on Figure 6 This explains the structure of the temperature and coldness estimation device 100.

[0176] The temperature and coldness estimation device 100 also has the element of a walkability reception unit 141.

[0177] The temperature and coldness estimation program also enables the computer to function as a walking attribute reception unit 141.

[0178] Description of the action

[0179] based on Figure 7 Explain the method for estimating temperature and coldness.

[0180] In step S031, the walking speed scale receiving unit 111 receives the walking speed scale input to the temperature and coldness estimation device 100.

[0181] Step S031 is the same as step S011 in Embodiment 1.

[0182] In step S032, the walking time acquisition unit 120 acquires walking time information.

[0183] Step S032 is the same as step S012 in Embodiment 1.

[0184] In step S33, the walking attribute receiving unit 141 receives walking attribute information input to the temperature and coldness estimation device 100.

[0185] Walking attribute information represents walking attributes that affect a user's perception of temperature.

[0186] Walking attributes are attributes related to a user's walking, including user attributes and walking conditions.

[0187] Examples of user attributes include being sensitive to heat / cold, sweating easily, body fat percentage, and age.

[0188] Examples of walking conditions include whether the walking path is in the shade or in the sun, and how heavy your luggage is.

[0189] Use the user interface to input walking attribute information.

[0190] For example, accept walking attribute information as follows.

[0191] First, after walking, the user operates the user terminal to activate the temperature and coldness estimation device 100.

[0192] Next, the pedestrian attribute processing unit 141 displays the attribute input screen on the monitor. The attribute input screen has a graphical user interface (GUI) for inputting pedestrian attribute information.

[0193] Next, the user operates the user terminal to input walking attribute information into the attribute input screen.

[0194] Then, the walking attribute processing unit 141 accepts the input walking attribute information.

[0195] Steps S031 to S033 can also be executed in a different order.

[0196] After steps S031 to S033, the process proceeds to step S034.

[0197] In step S034, the temperature and coldness estimation unit 130 uses the received walking speed scale, the obtained walking time information and the received walking attribute information as utilization information to estimate the user's temperature and coldness after walking.

[0198] Step S034 is equivalent to including the walking attribute information in step S013 obtained by utilizing the information (see Implementation Method 1).

[0199] After step S034, the processing of the temperature and coldness estimation method ends.

[0200] Effects of Implementation Method 3

[0201] The feeling of temperature after walking depends not only on walking speed and walking time, but also on the user's walking attributes (heat sensitivity / cold sensitivity, body fat percentage, age, etc.).

[0202] In implementation method 3, the user's walking attribute information is also used to estimate the temperature sensation. As a result, the temperature sensation after walking can be estimated with higher accuracy.

[0203] Example of Implementation Method 3

[0204] Implementation method 3 can also be applied to implementation method 2.

[0205] Figure 8 The structure of the temperature and coldness estimation device 100 in Embodiment 3 when applied to Embodiment 2 is shown.

[0206] The temperature and coldness estimation device 100 has a walking environment acquisition unit 112 instead of a walking speed scale receiving unit 111.

[0207] Figure 9 A flowchart is shown for the temperature and coldness estimation method when Implementation 3 is applied to Implementation 2.

[0208] In step S031B, the walking environment acquisition unit 112 acquires walking environment information. Step S031B is the same as step S021 in Embodiment 2.

[0209] Steps S032 and S033 are as described in Embodiment 3.

[0210] In step S034B, the temperature and coldness estimation unit 130 uses the acquired walking environment information, acquired walking time information, and received walking attribute information as utilization information, and estimates the user's temperature and coldness after walking based on the utilization information. Step S034B is equivalent to step S023, which includes the walking attribute information in the utilization information (see Embodiment 2).

[0211] Implementation method 4.

[0212] Regarding the method of estimating the temperature sensation after a walk by considering the date and time of the walk, based on Figures 10 to 13 The main difference from implementation method 1 is explained.

[0213] Structural description

[0214] based on Figure 10 Explain the structure of the temperature and coldness estimation device 100.

[0215] The temperature and coldness estimation device 100 also has a walking date and time acquisition unit 142.

[0216] The temperature and coldness estimation program also enables the computer to function as a walking date and time acquisition unit 142.

[0217] Description of the action

[0218] based on Figure 11 Explain the method for estimating temperature and coldness.

[0219] In step S041, the walking speed scale receiving unit 111 receives the walking speed scale input to the temperature and coldness estimation device 100.

[0220] Step S041 is the same as step S011 in Embodiment 1.

[0221] In step S042, the walking time acquisition unit 120 acquires walking time information.

[0222] Step S042 is the same as step S012 in Embodiment 1.

[0223] In step S043, the walking date and time acquisition unit 142 acquires the walking date and time information.

[0224] Walking date and time information is data representing the date and time of walking.

[0225] The walking date and time is equivalent to the date and time the user walked.

[0226] The walking date and time information is obtained as follows.

[0227] The walking date and time acquisition unit 142 obtains the current date and time from the OS or the Internet. The data representing the obtained current date and time is called walking date and time information.

[0228] Steps S041 to S043 can also be executed in a different order.

[0229] After steps S041 to S043, the process proceeds to step S044.

[0230] In step S044, the temperature and coldness estimation unit 130 uses the received walking speed scale, the obtained walking time information, and the obtained walking date and time information as utilization information to estimate the user's temperature and coldness after walking.

[0231] Step S044 is equivalent to including the walking date and time information in step S013 obtained by utilizing the information (see Implementation 1).

[0232] After step S044, the processing of the temperature and coldness estimation method ends.

[0233] Effects of Implementation Method 4

[0234] The feeling of temperature after walking depends not only on walking speed and time, but also on the temperature environment (high / low air temperature) of the location. Date and time correspond to the temperature environment. For example, 1 PM in August tends to be hotter.

[0235] In implementation method 4, it is assumed that the date and time correspond to the temperature environment, and an estimation model corresponding to the current date and time information is used. This allows for a more accurate estimation of the temperature sensation after walking.

[0236] Example of Implementation 4

[0237] Implementation method 4 can also be applied to implementation method 2.

[0238] Figure 12 The structure of the temperature and coldness estimation device 100 in Embodiment 4 is shown when applied to Embodiment 2.

[0239] The temperature and coldness estimation device 100 has a walking environment acquisition unit 112 instead of a walking speed scale receiving unit 111.

[0240] Figure 13 A flowchart is shown for the temperature and coldness estimation method of Embodiment 4 applied to Embodiment 2.

[0241] In step S041B, the walking environment acquisition unit 112 acquires walking environment information. Step S041B is the same as step S021 in Embodiment 2.

[0242] Steps S042 and S043 are as described in Embodiment 3.

[0243] In step S044B, the temperature and coldness estimation unit 130 uses the acquired walking environment information, the acquired walking time information, and the acquired walking date and time information as utilization information to estimate the user's temperature and coldness after walking. Step S044B is equivalent to step S023, which includes the walking date and time information in the utilization information (see Embodiment 2).

[0244] Implementation method 5.

[0245] Regarding the method of estimating the feeling of temperature after walking by considering the walking environment, based on Figure 14 and Figure 15 The main difference from implementation method 1 is explained.

[0246] Structural description

[0247] based on Figure 14 Explain the structure of the temperature and coldness estimation device 100.

[0248] The temperature and cold sensing estimation device 100 also has a walking environment acquisition unit 112.

[0249] The temperature and coldness estimation program also enables the computer to function as a walking environment acquisition unit 112.

[0250] Description of the action

[0251] based on Figure 15 Explain the method for estimating temperature and coldness.

[0252] In step S051, the walking speed scale receiving unit 111 receives the walking speed scale input to the temperature and coldness estimation device 100.

[0253] Step S051 is the same as step S011 in Embodiment 1.

[0254] In step S052, the walking time acquisition unit 120 acquires walking time information.

[0255] Step S052 is the same as step S012 in Embodiment 1.

[0256] In step S053, the walking environment acquisition unit 112 acquires walking environment information.

[0257] Step S053 is the same as step S021 in Embodiment 2.

[0258] Steps S051 to S053 can also be executed in a different order.

[0259] After steps S051 to S053, the process proceeds to step S054.

[0260] In step S054, the temperature and coldness estimation unit 130 uses the received walking speed scale, the obtained walking time information, and the obtained walking environment information as utilization information to estimate the user's temperature and coldness after walking.

[0261] Step S054 is equivalent to including the walking environment information in step S013 obtained by utilizing the information (see Implementation 1).

[0262] After step S054, the processing of the temperature and coldness estimation method ends.

[0263] Effects of Implementation Method 5

[0264] The feeling of temperature after walking depends not only on walking speed and walking time, but also on the temperature environment of the walking location (high / low air temperature, etc.).

[0265] In implementation method 5, environmental information (temperature, humidity, sunshine, etc.) of the walking path is also used to estimate the temperature sensation after walking. As a result, the temperature sensation after walking can be estimated with higher accuracy.

[0266] Implementation method 6.

[0267] Regarding the methods for obtaining pedestrian environment information using location functions, based on Figures 16 to 19 The main points that differ from implementation method 5 are explained.

[0268] Structural description

[0269] based on Figure 16 Explain the structure of the temperature and coldness estimation device 100.

[0270] The temperature and coldness estimation device 100 is a user terminal held by the user during the user's walk.

[0271] The temperature and coldness estimation device 100 also has hardware such as a positioning device 106.

[0272] The positioning device 106 has a positioning function for determining the location of the user terminal at various times. For example, the positioning device 106 is a receiver for a satellite positioning system (GPS, GNSS, etc.).

[0273] Description of the action

[0274] based on Figure 17 Explain the method for estimating temperature and coldness.

[0275] In step S061, the walking speed scale receiving unit 111 receives the walking speed scale input to the temperature and coldness estimation device 100.

[0276] Step S061 is the same as step S011 in Embodiment 1.

[0277] In step S062, the walking time acquisition unit 120 acquires walking time information.

[0278] Step S062 is the same as step S012 in Embodiment 1.

[0279] In step S063, the walking environment acquisition unit 112 acquires walking environment information.

[0280] Specifically, the pedestrian environment acquisition unit 112 acquires environmental information of the area corresponding to the location information of the user terminal. The acquired environmental information is called pedestrian environment information.

[0281] Pedestrian environment information is obtained as follows.

[0282] First, the pedestrian environment acquisition unit 112 uses the positioning function of the user terminal to obtain the location information of the user terminal.

[0283] Then, the pedestrian environment acquisition unit 112 sends the user terminal's location information to the environmental information server and receives environmental information about the area where the user terminal is located from the environmental information server. The received environmental information becomes the pedestrian environment information.

[0284] Steps S061 to S063 can also be executed in a different order.

[0285] After steps S061 to S063, the process proceeds to step S064.

[0286] In step S064, the temperature and coldness estimation unit 130 uses the received walking speed scale, the obtained walking time information, and the obtained walking environment information as utilization information to estimate the user's temperature and coldness after walking.

[0287] Step S064 is equivalent to including the walking environment information in step S013 obtained by utilizing the information (see Implementation 1).

[0288] After step S064, the processing of the temperature and coldness estimation method ends.

[0289] Effects of Implementation Method 6

[0290] The feeling of temperature after walking depends not only on walking speed and walking time, but also on the temperature environment of the walking location (high / low air temperature, etc.).

[0291] In implementation method 6, environmental information (temperature, humidity, sunshine, etc.) of the walking path is also used to estimate the temperature or coldness felt after walking. As a result, the temperature or coldness felt after walking can be estimated with higher accuracy.

[0292] Example of Implementation 6

[0293] Implementation method 6 can also be applied to implementation method 2.

[0294] Figure 18 The structure of the temperature and coldness estimation device 100 in Embodiment 6 as applied to Embodiment 2 is shown.

[0295] The temperature and coldness estimation device 100 has a walking environment acquisition unit 112 instead of a walking speed scale receiving unit 111.

[0296] Figure 19 A flowchart is shown for the temperature and coldness estimation method of Embodiment 6 applied to Embodiment 2.

[0297] Steps S063 and S062 are as described in Embodiment 6.

[0298] In step S064B, the temperature / coolness estimation unit 130 uses the acquired walking environment information and walking time information as utilization information to estimate the user's temperature / coolness after walking. Step S064B is the same as step S023 in Embodiment 2.

[0299] Implementation method 7.

[0300] Regarding methods for calculating walking time using location information, based on... Figures 20 to 25 The main points that differ from Implementation Method 1 are explained.

[0301] Structural description

[0302] based on Figure 20 This explains the structure of the temperature and coldness estimation device 100.

[0303] The temperature and coldness estimation device 100 is a user terminal held by the user during the user's walk.

[0304] The temperature and coldness estimation device 100 also has hardware such as a positioning device 106.

[0305] The positioning device 106 has a positioning function for determining the location of the user terminal at various times. For example, the positioning device 106 is a receiver for a satellite positioning system (GPS, GNSS, etc.).

[0306] The walking time acquisition unit 120 has a walking time calculation unit 122 instead of the walking time processing unit 121.

[0307] Description of the action

[0308] based on Figure 21 Explain the method for estimating temperature and coldness.

[0309] In step S071, the walking speed scale receiving unit 111 receives the walking speed scale input to the temperature and coldness estimation device 100.

[0310] Step S071 is the same as step S011 in Embodiment 1.

[0311] In step S072, the walking environment acquisition unit 112 acquires walking time information.

[0312] Specifically, the walking time calculation unit 122 calculates the walking time as follows. The data representing the calculated walking time is called walking time information.

[0313] First, the walking time calculation unit 122 calculates the start time of walking based on the walking area information and the location information of the user terminal at each time.

[0314] The walking area information is data indicating the starting and ending areas of a walk. This walking area information is pre-stored in storage unit 190.

[0315] The walking start area is the region that includes the starting point of the walk. The starting point of the walk is the location where the user begins walking.

[0316] The walking end area is the region that includes the walking end point. The walking end point is the location where the user's walk ends.

[0317] based on Figure 22 and Figure 23 Examples of the starting and ending areas for walking are provided.

[0318] exist Figure 22 In this system, a starting point and an ending point for walking are preset. The starting area is represented by a circle centered at the ending point with a radius equal to the distance from the ending point to the starting point. The ending area is represented by a circle centered at the ending point with a radius of a predetermined distance.

[0319] exist Figure 23 In this system, the starting area for walking is represented by a circle centered at the starting point with a radius of a certain distance. The ending area for walking is represented by a circle centered at the ending point with a radius of a certain distance. This certain distance is preset.

[0320] However, the starting and ending walking areas can also be shapes other than circles. For example, the starting and ending walking areas can be rectangular. Furthermore, the starting and ending walking areas can also be different shapes.

[0321] return Figure 21 Continue with the explanation of step S072.

[0322] Use the user terminal's location function to obtain the user terminal's location information at various times.

[0323] The start time of walking is the moment when the user terminal enters the walking start area.

[0324] Next, the walking time calculation unit 122 calculates the end time of walking based on the walking area information and the location information of the user terminal at each time.

[0325] The end of walking time is the moment when the user terminal enters the walking end area.

[0326] Then, the walking time calculation unit 122 uses the walking start time and walking end time to calculate the walking time.

[0327] Specifically, the walking time calculation unit 122 calculates the length of time from the start time (t1) to the end time (t2) of walking. The calculated length of time is called the walking time (Δt).

[0328] The walking time (Δt) is calculated using the following formula.

[0329] Δt=t2-t1

[0330] The walking time calculation unit 122 can also subtract the walking stop time (t3) to calculate the walking time (Δt). The walking stop time (t3) is the length of time during which walking is stopped from the start time to the end time. For example, the time period during which the user terminal's position does not change within a certain time is considered the walking stop time period. In addition, if the user terminal's position does not change for a certain distance, it is considered that the user terminal's position has not changed.

[0331] The walking time (Δt) is calculated using the following formula.

[0332] Δt = t2 - t1 - t3

[0333] Steps S071 and S072 can also be executed in reverse order.

[0334] After steps S071 and S072, the process proceeds to step S073.

[0335] In step S073, the temperature and coldness estimation unit 130 uses the received walking speed scale and the obtained walking time information as utilization information to estimate the user's temperature and coldness after walking.

[0336] Step S073 is the same as step S013 in Embodiment 1.

[0337] After step S073, the processing of the temperature and coldness estimation method ends.

[0338] Effects of Implementation Method 7

[0339] Walking time may vary from day to day. To accurately estimate temperature, walking time needs to be recorded each time.

[0340] In implementation method 7, walking time is automatically calculated using location information. This eliminates the need for user input.

[0341] Example of Implementation 7

[0342] Implementation method 7 can also be applied to implementation method 2.

[0343] Figure 24 The structure of the temperature and coldness estimation device 100 in Embodiment 7 as applied to Embodiment 2 is shown.

[0344] The temperature and coldness estimation device 100 has a walking environment acquisition unit 112 instead of a walking speed scale receiving unit 111.

[0345] Figure 25 A flowchart is shown for the temperature and coldness estimation method of Embodiment 7 applied to Embodiment 2.

[0346] In step S071B, the walking environment acquisition unit 112 acquires walking environment information. Step S071B is the same as step S021 in Embodiment 2.

[0347] Step S072 is as described in Embodiment 7.

[0348] In step S073B, the temperature / coolness estimation unit 130 uses the acquired walking environment information and walking time information as utilization information to estimate the user's temperature / coolness after walking. Step S073B is the same as step S023 in Embodiment 2.

[0349] Implementation method 8.

[0350] Regarding the method of calculating walking time using location information and beacon information, based on... Figures 26 to 30 The main points that differ from Implementation Method 7 are explained.

[0351] Structural description

[0352] based on Figure 26 This explains the structure of the temperature and coldness estimation device 100.

[0353] The temperature and cold sensing estimation device 100 also includes a beacon information receiving unit 143.

[0354] The temperature and coldness estimation program also enables the computer to function as a beacon information receiver 143.

[0355] Description of the action

[0356] based on Figure 27 Explain the method for estimating temperature and coldness.

[0357] In step S081, the walking speed scale receiving unit 111 receives the walking speed scale input to the temperature and coldness estimation device 100.

[0358] Step S081 is the same as step S011 in Embodiment 1.

[0359] In step S082, the walking environment acquisition unit 112 acquires walking time information.

[0360] Specifically, the walking time calculation unit 122 calculates the walking time as follows. The data representing the calculated walking time is called walking time information.

[0361] Set one or more walking end zones and place beacons in each walking end zone. For example, beacons can be placed in buildings that become the user's walking destination.

[0362] A beacon sends beacon information. Beacon information is data containing an individual identifier. The individual identifier identifies a beacon. For example, an individual identification number is used as the individual identifier.

[0363] When a user terminal enters the communication area of ​​any beacon, the beacon information receiving unit 143 receives beacon information transmitted from the beacon. The beacon's communication area is the region where the beacon information can reach.

[0364] First, the walking time calculation unit 122 calculates the start time of walking based on the walking area information and the location information of the user terminal at each time. The walking area information represents the area where walking begins.

[0365] Next, the walking time calculation unit 122 calculates the time when the beacon information was received. The obtained time becomes the end time of the walk.

[0366] Then, the walking time calculation unit 122 uses the walking start time and walking end time to calculate the walking time.

[0367] based on Figure 28 An example of the area where walking begins is provided.

[0368] The starting point for the walk is pre-set.

[0369] The end point of the walk is the location of the beacon identified by the individual identifier shown in the received beacon information.

[0370] The starting area of ​​the walk is represented by a circle centered at the ending point of the walk and with a radius equal to the distance from the ending point to the starting point of the walk.

[0371] Calculate the starting area for walking as follows.

[0372] A list of beacons is pre-stored in storage unit 190. The list of beacons represents each beacon by mapping its individual identifier to its location information.

[0373] First, the walking time calculation unit 122 obtains the location information corresponding to the individual identifier that is the same as the individual identifier shown in the received beacon information from the beacon overview.

[0374] Furthermore, the walking time calculation unit 122 uses the location shown in the obtained location information as the end point of walking to calculate the starting area of ​​walking.

[0375] return Figure 27 Let me continue explaining.

[0376] Steps S081 and S082 can also be executed in reverse order.

[0377] After steps S081 and S082, the process proceeds to step S083.

[0378] In step S083, the temperature and coldness estimation unit 130 uses the received walking speed scale and the obtained walking time information as utilization information to estimate the user's temperature and coldness after walking.

[0379] Step S083 is the same as step S013 in Embodiment 1.

[0380] After step S083, the processing of the temperature and coldness estimation method ends.

[0381] Effects of Implementation Method 8

[0382] In implementation method 8, walking time is automatically calculated using location information and beacon information. This eliminates the need for user input. Furthermore, walking time can be calculated with higher accuracy.

[0383] Embodiment of Implementation 8

[0384] Implementation method 8 can also be applied to implementation method 2.

[0385] Figure 29 The structure of the temperature and coldness estimation device 100 in Embodiment 8 when applied to Embodiment 2 is shown.

[0386] The temperature and coldness estimation device 100 has a walking environment acquisition unit 112 instead of a walking speed scale receiving unit 111.

[0387] Figure 30 A flowchart is shown for the temperature and coldness estimation method of Embodiment 8 when applied to Embodiment 2.

[0388] In step S081B, the walking environment acquisition unit 112 acquires walking environment information. Step S081B is the same as step S021 in Embodiment 2.

[0389] Step S082 is as described in Embodiment 8.

[0390] In step S083B, the temperature / coolness estimation unit 130 uses the acquired walking environment information and walking time information as utilization information to estimate the user's temperature / coolness after walking. Step S083B is the same as step S023 in Embodiment 2.

[0391] Implementation method 9.

[0392] Regarding methods to suppress power consumption of user terminals, based on Figures 31 to 34 The main differences from implementation method 8 will be explained.

[0393] Structural description

[0394] based on Figure 31 Explain the structure of the temperature and coldness estimation device 100.

[0395] The temperature and coldness estimation device 100 also has a positioning function control unit 144.

[0396] The temperature and coldness estimation program also enables the computer to function as the positioning function control unit 144.

[0397] Description of the action

[0398] based on Figure 32 Explain the location function control (A).

[0399] Positioning function control (A) is an example of positioning function control.

[0400] The positioning function control is a process included in the temperature and coldness estimation method and is executed by the positioning function control unit 144.

[0401] In step S091A, the positioning function control unit 144 detects that the user terminal has entered the walking start area.

[0402] The detection is performed using information about the pedestrian area and the location information of the user terminal at various times.

[0403] The detection can also be performed by the walking time calculation unit 122.

[0404] Then, the positioning function control unit 144 disables the positioning function of the user terminal. That is, the positioning function control unit 144 disconnects the communication device 104.

[0405] In step S092A, the positioning function control unit 144 detects that the user terminal has entered the walking end area. In other words, the positioning function control unit 144 detects that the user terminal is approaching the walking end point.

[0406] Specifically, the positioning function control unit 144 detects the receipt of beacon information. The positioning function control unit 144 can also detect when the radio wave intensity during beacon information reception is above a threshold.

[0407] In step S093A, the positioning function control unit 144 detects whether the user terminal has left the walking end area.

[0408] Specifically, the positioning function control unit 144 detects situations where beacon information is not received. The positioning function control unit 144 can also detect situations where the radio wave strength during beacon information reception is less than a threshold.

[0409] Then, the positioning function control unit 144 activates the positioning function of the user terminal. That is, the positioning function control unit 144 connects the communication device 104.

[0410] based on Figure 33 Explain the location function control (B).

[0411] Positioning function control (B) is an example of positioning function control.

[0412] In step S091B, the positioning function control unit 144 detects that the user terminal has entered the walking start area.

[0413] Then, the positioning function control unit 144 disables the positioning function of the user terminal.

[0414] Step S091B is the same as step S091A.

[0415] In step S092B, the positioning function control unit 144 detects that the user terminal has entered the walking end area.

[0416] Step S092B is the same as step S092A.

[0417] In step S093B, the positioning function control unit 144 detects whether the user terminal has left the walking end area. The detection method is the same as that in step S093A.

[0418] Then, the positioning function control unit 144 enables the positioning function of the user terminal by suppressing the setting. That is, the positioning function control unit 144 connects the communication device 104 by suppressing the setting.

[0419] The suppression setting is a setting used to suppress the power consumption of the positioning function. For example, in the suppression setting, at least one of the positioning frequency and positioning accuracy is lower compared to the default setting.

[0420] In step S094B, the positioning function control unit 144 detects that the user terminal is approaching the starting point of the walk.

[0421] Specifically, the positioning function control unit 144 detects when the distance from the user terminal to the starting point of the walk is less than a certain distance.

[0422] Then, the positioning function control unit 144 restores the positioning function settings of the user terminal to the default settings. That is, the positioning function control unit 144 restores the settings of the communication device 104 to the default settings.

[0423] The default setting is the setting before location services are turned off (when it is normal).

[0424] Effects of Implementation Method 9

[0425] Using the location function of a smartphone requires power.

[0426] In implementation method 9, parameters such as the on / off state of the positioning function, positioning frequency, and positioning accuracy are switched based on location information. This eliminates the need for user input and reduces the power consumption of the smartphone.

[0427] Example of Implementation 9

[0428] Implementation method 9 can also be applied to implementation method 2.

[0429] Figure 34 The structure of the temperature and coldness estimation device 100 in Embodiment 9 when applied to Embodiment 2 is shown.

[0430] The temperature and coldness estimation device 100 has a walking environment acquisition unit 112 instead of a walking speed scale receiving unit 111.

[0431] The operation of the positioning function control unit 144 is as described in Embodiment 9.

[0432] Implementation method 10.

[0433] Regarding methods for controlling air conditioners and other devices to achieve an estimated temperature or cooling sensation, based on Figures 35 to 38 The main difference from implementation method 1 is explained.

[0434] Structural description

[0435] based on Figure 35 This explains the structure of the temperature and coldness estimation device 100.

[0436] The temperature and cold sensing estimation device 100 also includes an equipment control unit 151.

[0437] The temperature and coldness estimation program also enables the computer to function as the device control unit 151.

[0438] Description of the action

[0439] based on Figure 36 Explain the method for estimating temperature and coldness.

[0440] In step S101, the walking speed scale receiving unit 111 receives the walking speed scale input to the temperature and coldness estimation device 100.

[0441] Step S101 is the same as step S011 in Embodiment 1.

[0442] In step S102, the walking environment acquisition unit 112 acquires walking time information.

[0443] Step S102 is the same as step S012 in Embodiment 1.

[0444] Steps S101 and S102 can also be executed in reverse order.

[0445] After steps S101 and S102, the process proceeds to step S103.

[0446] In step S103, the temperature and coldness estimation unit 130 uses the received walking speed scale and the obtained walking time information as utilization information to estimate the user's temperature and coldness after walking.

[0447] Step S103 is the same as step S013 in Embodiment 1.

[0448] In step S104, the device control unit 151 controls the designated device based on the estimated temperature and cold sensation.

[0449] The designated equipment refers to the specified heating or cooling equipment. The designated equipment must be registered in advance.

[0450] Heating and cooling equipment are devices that affect a person's sense of temperature.

[0451] Examples of heating and cooling equipment include air conditioners, electric fans, ventilation systems, and lighting equipment.

[0452] Specifically, the device control unit 151 adjusts the settings of the designated device based on the estimated temperature and the user's preferred settings for the designated device. The designated device is controlled as follows.

[0453] The user's favorite settings information is pre-stored in the storage unit 190. The favorite settings information is data representing the user's favorite settings for a specified device.

[0454] First, the device control unit 151 determines the settings of the designated device based on the estimated temperature and cooling sensation and the collection settings shown in the collection setting information.

[0455] Then, the device control unit 151 communicates with the designated device to change the settings of the designated device to the determined settings.

[0456] For example, controlling an air conditioner as a designated device, as follows.

[0457] The collection settings indicate the collection temperature.

[0458] If the estimated temperature / coolness sensation is +2 or higher, the device control unit 151 sets the airflow to "strong" and the airflow direction to "sweep". By setting the airflow direction to "sweep", the airflow reaches the user. The high temperature / coolness sensation is considered to last for about a few minutes; therefore, the device control unit 151 can also change the airflow setting to "weak" and the airflow direction setting to "horizontal" after a certain period. By setting the airflow direction to "horizontal", the airflow does not reach the user.

[0459] The device control unit 151 sets the temperature to the storage temperature. The device control unit 151 can also adjust the storage temperature based on an estimated temperature sensitivity and set the temperature to the adjusted storage temperature. A high temperature sensitivity is considered to occur after a certain period of time; therefore, the device control unit 151 can also change the temperature setting back to the original storage temperature after a certain period of time.

[0460] For example, controlling an air conditioner as a designated device, as follows.

[0461] The collection settings indicate the collection airflow and collection airflow direction.

[0462] If the estimated temperature / coolness sensation is +2 or higher, the equipment control unit 151 sets the airflow to "strong" and the airflow direction to "sweep". The high temperature / coolness sensation is considered to last for about a few minutes, so after a certain period, the equipment control unit 151 changes the airflow setting to "reserved airflow" and the airflow direction setting to "reserved airflow direction".

[0463] For example, if the specified type of equipment is a fan or ventilation device, and the estimated temperature or cooling sensation is high, the equipment control unit 151 increases the air volume.

[0464] For example, if the specified type of equipment is a lighting device and the estimated temperature sensitivity is high, the equipment control unit 151 reduces the color temperature of the lighting.

[0465] After step S104, the processing of the temperature and coldness estimation method ends.

[0466] Effects of Implementation Method 10

[0467] Implementation method 10 automatically changes the settings of a designated air conditioner based on the estimated temperature sensation. Thus, comfortable air conditioning control based on the temperature sensation after walking can be achieved using a designated air conditioner.

[0468] Embodiment of Implementation 10

[0469] Implementation method 10 can also be applied to implementation method 2.

[0470] Figure 37 The structure of the temperature and coldness estimation device 100 in the case of embodiment 10 applied to embodiment 2 is shown.

[0471] The temperature and coldness estimation device 100 has a walking environment acquisition unit 112 instead of a walking speed scale receiving unit 111.

[0472] Figure 38 A flowchart is shown showing the temperature and coldness estimation method of Embodiment 10 when applied to Embodiment 2.

[0473] In step S101B, the walking environment acquisition unit 112 acquires walking environment information. Step S101B is the same as step S021 in Embodiment 2.

[0474] Step S102 is as described in Embodiment 10.

[0475] In step S103B, the temperature / coolness estimation unit 130 uses the acquired walking environment information and walking time information as utilization information to estimate the user's temperature / coolness after walking. Step S103B is the same as step S023 in Embodiment 2.

[0476] Step S104 is as described in Embodiment 10.

[0477] Implementation method 11.

[0478] Regarding methods for controlling air conditioners and other devices to achieve an estimated temperature or cooling sensation, based on Figures 39 to 42 The main difference from implementation method 10 is explained.

[0479] Structural description

[0480] based on Figure 39 This explains the structure of the temperature and coldness estimation device 100.

[0481] The temperature and cold sensing estimation device 100 also includes a nearby device determination unit 152.

[0482] The temperature and coldness estimation program also enables the computer to function as a nearby device determination unit 152.

[0483] Description of the action

[0484] based on Figure 40 Explain the method for estimating temperature and coldness.

[0485] In step S111, the walking speed scale receiving unit 111 receives the walking speed scale input to the temperature and coldness estimation device 100.

[0486] Step S111 is the same as step S011 in Embodiment 1.

[0487] In step S112, the walking environment acquisition unit 112 acquires walking time information.

[0488] Step S112 is the same as step S012 in Embodiment 1.

[0489] Steps S111 and S112 can also be executed in reverse order.

[0490] After steps S111 and S112, the process proceeds to step S113.

[0491] In step S113, the temperature and coldness estimation unit 130 uses the received walking speed scale and the obtained walking time information as utilization information to estimate the user's temperature and coldness after walking.

[0492] Step S113 is the same as step S013 in Embodiment 1.

[0493] In step S114, the nearby device determination unit 152 receives beacon information from at least one of the plurality of heating and cooling devices.

[0494] Multiple heating and cooling devices are located in different places.

[0495] Each of the heating and cooling equipment is equipped with a beacon.

[0496] A beacon sends beacon information. Beacon information is data containing an individual identifier. The individual identifier identifies a beacon. For example, an individual identification number is used as the individual identifier.

[0497] Then, the nearby device determination unit 152 selects one of multiple heating / cooling devices based on the received beacon information. The selected heating / cooling device is referred to as the nearby device.

[0498] Nearby equipment refers to heating and cooling devices installed near users after they have walked through the area.

[0499] Identify nearby devices as follows.

[0500] A list of heating and cooling equipment is pre-stored in storage unit 190. The list of heating and cooling equipment is represented by mapping each equipment identifier to a beacon identifier.

[0501] When beacon information is received from a single heating or cooling device, the nearby device determination unit 152 selects the device identifier corresponding to the beacon identifier that is identical to the individual identifier shown in the received beacon information from a list of heating or cooling devices. The heating or cooling device identified by the selected device identifier becomes a nearby device.

[0502] When beacon information is received from two or more heating / cooling devices, the nearby device determination unit 152 selects a device identifier from a list of heating / cooling devices that corresponds to the individual identifier shown in the following beacon information: the beacon information with the highest received radio wave strength or the beacon information with the shortest radio wave arrival distance. The heating / cooling device identified by the selected device identifier becomes a nearby device.

[0503] In the case of using Bluetooth (registered trademark) in beacon information communication, the intensity of radio waves is utilized.

[0504] In beacon information communication, wireless communication known as UWB is used to travel distances using radio waves. UWB is short for Ultra Wide Band.

[0505] Step S114 can also be performed before step S113.

[0506] In step S115, the device control unit 151 controls nearby devices based on the estimated temperature and cold sensation.

[0507] The method for controlling nearby devices is the same as the method for controlling designated devices in step S104 of embodiment 10.

[0508] After step S115, the processing of the temperature and coldness estimation method ends.

[0509] Effects of Implementation Method 11

[0510] Implementation method 11 automatically changes the settings of nearby air conditioners based on the estimated temperature sensation. Thus, it is possible to achieve comfortable air conditioning control based on the temperature sensation after walking using nearby air conditioners.

[0511] Embodiment of Implementation 11

[0512] Implementation method 11 can also be applied to implementation method 2.

[0513] Figure 41 The structure of the temperature and coldness estimation device 100 when embodiment 11 is applied to embodiment 2 is shown.

[0514] The temperature and coldness estimation device 100 has a walking environment acquisition unit 112 instead of a walking speed scale receiving unit 111.

[0515] Figure 42 A flowchart is shown showing the temperature and coldness estimation method when Implementation 11 is applied to Implementation 2.

[0516] In step S111B, the walking environment acquisition unit 112 acquires walking environment information. Step S111B is the same as step S021 in Embodiment 2.

[0517] Step S112 is as described in Embodiment 10.

[0518] In step S113B, the temperature / coolness estimation unit 130 uses the acquired walking environment information and walking time information as utilization information to estimate the user's temperature / coolness after walking. Step S113B is the same as step S023 in Embodiment 2.

[0519] Steps S114 and S115 are as described in Embodiment 11.

[0520] Implementation method 12.

[0521] Regarding the method of recommending comfort zones based on estimated temperature sensations, based on... Figures 43 to 46 The main difference from implementation method 1 is explained.

[0522] Structural description

[0523] based on Figure 43 This explains the structure of the temperature and coldness estimation device 100.

[0524] The temperature and coldness estimation device 100 also has a comfort zone recommendation unit 160.

[0525] The temperature and coldness estimation program also enables the computer to function as a comfort zone recommendation department.

[0526] Description of the action

[0527] based on Figure 44 Explain the method for estimating temperature and coldness.

[0528] In step S121, the walking speed scale receiving unit 111 receives the walking speed scale input to the temperature and coldness estimation device 100.

[0529] Step S121 is the same as step S011 in Embodiment 1.

[0530] In step S122, the walking environment acquisition unit 112 acquires walking time information.

[0531] Step S122 is the same as step S012 in Embodiment 1.

[0532] Steps S121 and S122 can also be executed in reverse order.

[0533] After steps S121 and S122, the process proceeds to step S103.

[0534] In step S123, the temperature and coldness estimation unit 130 uses the received walking speed scale and the obtained walking time information as utilization information to estimate the user's temperature and coldness after walking.

[0535] Step S123 is the same as step S013 in Embodiment 1.

[0536] In step S124, the comfort zone recommendation unit 160 selects a comfort zone based on the estimated temperature and temperature sensation and the utilization zone overview.

[0537] The comfort zone is one of several areas of utilization.

[0538] The utilization area overview represents each utilization area by mapping its area identifier to its environmental information.

[0539] A usable area is an area that can be used by a user after walking through it. For example, multiple usable areas are multiple rooms in a building that become a walking destination. For example, room numbers are used as area identifiers.

[0540] Zone environmental information refers to data representing the environment of the area being utilized. For example, zone environmental information includes set temperature and set humidity.

[0541] For example, if the estimated temperature or coldness is above a certain level, the comfort zone recommendation unit 160 selects a zone identifier from the utilization zone list that corresponds to the zone environmental information indicating a set temperature above a certain level. The utilization zone identified by the selected zone identifier becomes the comfort zone.

[0542] The comfort zone recommendation section 160 can also refer to information such as the distance traveled from the building entrance to each zone, the crowding level in each zone, and users' zone selection preferences to select comfort zones. Crowding level indicates the number of people. Zone selection preferences indicate the specific zones users prefer, the distance traveled, the number of users, and the humidity level, among other factors.

[0543] Then, the comfort zone recommendation section 160 provides comfort zone information.

[0544] Comfort zone information is data that represents the selected comfort zone. For example, comfort zone information includes zone identifiers for the comfort zones.

[0545] For example, the comfort zone recommendation unit 160 displays comfort zone information on the monitor.

[0546] After step S124, the processing of the temperature and coldness estimation method ends.

[0547] Effects of Implementation Method 12

[0548] Implementation method 12 recommends a comfortable zone for the user based on the estimated temperature and ambient information. Thus, it is possible to suggest a comfortable zone based on the temperature and ambient feeling after walking.

[0549] Embodiment of Implementation 12

[0550] Implementation method 12 can also be applied to implementation method 2.

[0551] Figure 45 The structure of the temperature and coldness estimation device 100 in the case of embodiment 12 applied to embodiment 2 is shown.

[0552] The temperature and coldness estimation device 100 has a walking environment acquisition unit 112 instead of a walking speed scale receiving unit 111.

[0553] Figure 46 A flowchart is shown showing the temperature and coldness estimation method when Implementation 11 is applied to Implementation 2.

[0554] In step S121B, the walking environment acquisition unit 112 acquires walking environment information. Step S101B is the same as step S021 in Embodiment 2.

[0555] Step S122 is as described in Embodiment 12.

[0556] In step S123B, the temperature / coolness estimation unit 130 uses the acquired walking environment information and walking time information as utilization information to estimate the user's temperature / coolness after walking. Step S123B is the same as step S023 in Embodiment 2.

[0557] Step S124 is as described in Embodiment 12.

[0558] Supplement to the implementation method

[0559] based on Figure 47 This describes the hardware structure of the temperature and coldness estimation device 100.

[0560] The temperature and coldness estimation device 100 includes a processing circuit 109.

[0561] The processing circuit 109 is the hardware that implements the walking speed measurement receiving unit 111, the walking time acquisition unit 120, and the temperature and coldness estimation unit 130. In addition, the processing circuit 109 implements elements such as the walking environment acquisition unit 112, the walking attribute receiving unit 141, the walking date and time acquisition unit 142, the beacon information receiving unit 143, the positioning function control unit 144, the equipment control unit 151, the nearby equipment determination unit 152, and the comfort zone recommendation unit 160.

[0562] The processing circuit 109 can be dedicated hardware or a processor 101 that executes the program stored in the memory 102.

[0563] When the processing circuit 109 is dedicated hardware, the processing circuit 109 may be, for example, a single circuit, a composite circuit, a programmable processor, a parallel programmable processor, an ASIC, an FPGA, or a combination thereof.

[0564] ASIC is short for Application Specific Integrated Circuit.

[0565] FPGA is short for Field Programmable Gate Array.

[0566] The temperature and coldness estimation device 100 may also have multiple processing circuits that can replace the processing circuit 109.

[0567] In the processing circuit 109, some functions may be implemented by dedicated hardware, while the remaining functions may be implemented by software or firmware.

[0568] Thus, the function of the temperature and coldness estimation device 100 can be realized through hardware, software, firmware, or a combination thereof.

[0569] Each embodiment is an example of a preferred embodiment and is not intended to limit the technical scope of this disclosure. Each embodiment may be implemented in part or in combination with other embodiments. Two or more embodiments (or examples) may also be combined for implementation. The steps described using flowcharts, etc., may also be appropriately modified.

[0570] The term "component" in the various elements of the temperature and cold sensing estimation device 100 can also be replaced with "process", "procedure", "circuit" or "line".

[0571] Label Explanation

[0572] 100 Temperature and Cold Sensation Estimation Device, 101 Processor, 102 Memory, 103 Auxiliary Storage Device, 104 Communication Device, 105 Input / Output Interface, 106 Positioning Device, 109 Processing Circuit, 111 Walking Speed ​​Scale Receiving Unit, 112 Walking Environment Acquisition Unit, 120 Walking Time Acquisition Unit, 121 Walking Time Receiving Unit, 122 Walking Time Calculation Unit, 130 Temperature and Cold Sensation Estimation Unit, 141 Walking Attribute Receiving Unit, 142 Walking Date and Time Acquisition Unit, 143 Beacon Information Receiving Unit, 144 Positioning Function Control Unit, 151 Equipment Control Unit, 152 Nearby Equipment Determination Unit, 160 Comfort Zone Recommendation Unit, 190 Storage Unit.

Claims

1. A temperature / cold sensing estimation device, comprising: The walking speed scale receiving unit accepts walking speed scales input as a measure of the user's walking speed; A walking time acquisition unit acquires walking time information, which shows the length of time the user walks as the walking time; and The temperature and coldness estimation unit uses the received walking speed scale and the obtained walking time information as utilization information to estimate the user's temperature and coldness after walking.

2. A temperature / cold sensing estimation device, comprising: The pedestrian environment acquisition department acquires pedestrian environment information, which represents the environment of the pedestrian area where the user is walking. A walking time acquisition unit acquires walking time information, which shows the length of time the user walks as the walking time; and The temperature and coldness estimation unit uses the acquired walking environment information and walking time information as utilization information to estimate the user's temperature and coldness after walking.

3. The temperature and coldness estimation device according to claim 1 or 2, wherein, The temperature and coldness estimation device includes a walking attribute receiving unit, which accepts walking attribute information as input, representing attributes related to the user's walking. The temperature and coldness estimation unit incorporates the received walking attribute information into the utilization information and estimates the temperature and coldness based on the utilization information.

4. The temperature / cold sensation estimation device according to any one of claims 1 to 3, wherein, The temperature / coolness estimation device includes a walking date and time acquisition unit, which acquires walking date and time information, representing the walking date and time corresponding to the date and time the user walked. The temperature / coolness estimation unit includes the acquired walking date and time information in the usage information, and estimates the temperature / coolness based on the usage information.

5. The temperature and coldness estimation device according to claim 1, wherein, The temperature and coldness estimation device includes a walking environment acquisition unit, which acquires walking environment information representing the environment of the area where the user is walking. The temperature and coldness estimation unit incorporates the acquired walking environment information into the utilization information and estimates the temperature and coldness based on the utilization information.

6. The temperature / cold sensing estimation device according to claim 2 or 5, wherein, The temperature / coldness estimation device is a user terminal held by the user during the user's walk. The pedestrian environment acquisition unit acquires the environmental information of the region corresponding to the location information of the user terminal as the pedestrian environment information.

7. The temperature / cold sensation estimation device according to any one of claims 1 to 6, wherein, The walking time acquisition unit accepts the walking time information input using the user interface.

8. The temperature / cold sensation estimation device according to any one of claims 1 to 6, wherein, The temperature / coldness estimation device is a user terminal held by the user during the user's walk. The walking time acquisition unit performs the following processing: Based on the walking area information representing the start and end areas of the walk, and the location information of the user terminal at various times, the time when the user terminal enters the walking start area is determined as the walking start time. Based on the walking area information and the location information of the user terminal at various times, the time when the user terminal enters the walking end area is calculated as the walking end time. The walking time is calculated using the start time and end time of the walk.

9. The temperature / cold sensation estimation device according to any one of claims 1 to 6, wherein, The temperature / coldness estimation device is a user terminal held by the user during the user's walk, and includes a beacon information receiving unit. The beacon information receiving unit receives beacon information sent from a beacon located at the end of the walking area. The walking time acquisition unit performs the following processing: Based on the pedestrian area information representing the starting area of ​​the walk and the location information of the user terminal at various times, the time when the user terminal enters the starting area of ​​the walk is determined as the start time of the walk. The time when the beacon information was received is taken as the end time of the walk. The walking time is calculated using the start time and end time of the walk.

10. The temperature and coldness estimation device according to claim 9, wherein, The temperature and coldness estimation device includes a positioning function control unit, which disables the positioning function of the user terminal when the user terminal enters the walking start area.

11. The temperature / cold sensation estimation device according to any one of claims 1 to 10, wherein, The temperature and coldness estimation device includes a device control unit that controls a designated device that is specified as one of the heating and cooling devices that affect a person's temperature and coldness perception. The device control unit controls the designated device based on the estimated temperature or coldness.

12. The temperature and coldness estimation device according to claim 11, The device control unit adjusts the settings of the designated device based on the estimated temperature and the user's favorite settings for the designated device.

13. The temperature / cold sensation estimation device according to any one of claims 1 to 10, wherein, The temperature and coldness estimation device includes: The nearby device determination unit receives beacon information from at least one of a plurality of heating and cooling devices located in different positions that affect a person's temperature sensation, and determines one of the plurality of heating and cooling devices as a nearby device based on the reception result of the beacon information. as well as The equipment control unit controls the nearby equipment based on the estimated temperature and coldness.

14. The temperature / cold sensation estimation device according to any one of claims 1 to 10, wherein, The temperature and coldness estimation device includes a comfort zone recommendation unit, which selects one of several usable zones that the user can utilize after walking as the comfort zone, and displays comfort zone information indicating the selected comfort zone. The comfort zone recommendation unit selects the comfort zone based on the estimated temperature and temperature sensation and the environmental information representing the environment of each of the utilization zones.

15. A method for estimating temperature sensitivity, wherein... Accepts walking speed as input, representing the user's walking speed. The walking time information is obtained, which shows the length of time the user walked as the walking time. The received walking speed scale and the obtained walking time information are used as utilization information to estimate the user's temperature sensation after walking.

16. A method for estimating temperature sensitivity, wherein, Obtain walking environment information, which represents the environment of the area where the user is walking. The walking time information is obtained, which shows the length of time the user walked as the walking time. The acquired walking environment information and walking time information are used as utilization information to estimate the user's temperature sensation after walking.

17. A temperature / coldness estimation program, which causes a computer to perform the following processing: The walking speed scale processing accepts walking speed scales input as a measure of the user's walking speed; The process of obtaining walking time involves acquiring walking time information, which shows the length of time the user spent walking as the walking time; and... The temperature and coldness estimation process uses the received walking speed scale and the obtained walking time information as utilization information to estimate the user's temperature and coldness after walking.

18. A temperature / coldness estimation program, which causes a computer to perform the following processing: The pedestrian environment acquisition process obtains pedestrian environment information, which represents the environment of the area where the user is walking. The process of obtaining walking time involves acquiring walking time information, which shows the length of time the user spent walking as the walking time; and... The temperature and coldness estimation process uses the acquired walking environment information and walking time information as utilization information to estimate the user's temperature and coldness after walking.

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