Equipment control device, equipment control method, program, and equipment control system
The system estimates user states and durations to control appliances, ensuring comfort by scheduling maintenance functions appropriately.
Patent Information
- Application Number
- JP2024515996
- Authority / Receiving Office
- JP · JP
- Patent Type
- Patents
- Current Assignee / Owner
- Filing Date
- 2022-04-21
- Publication Date
- 2025-11-05
- Estimated Expiration
- 2042-04-21
AI Technical Summary
Existing appliance control systems do not consider the duration of user absence, leading to unattended cleaning when users return home, causing discomfort.
A system that estimates user presence and absence states, including duration, and controls appliances based on these states to avoid noisy operations during user presence.
Enables comfortable appliance control by scheduling maintenance functions based on user presence and absence duration, minimizing noise disruption.
Smart Images

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Abstract
Description
[Technical Field]
[0001] The present disclosure relates to a device control device, a device control method, a program, and a device control system. [Background technology]
[0002] Known technologies for the automatic operation of home appliances include technologies that detect the presence or absence of people in the home and cause the appliances to execute specific processes when no one is present. For example, Patent Document 1 describes an air conditioner that performs unattended cleaning by activating an air purifying unit and increasing the speed of an indoor fan installed in the indoor unit above the speed during air conditioning operation when a human body detection sensor detects that no one is present. [Prior art documents] [Patent documents]
[0003] [Patent Document 1] Japanese Patent Application Laid-Open No. 2009-002602 Summary of the Invention [Problem to be solved by the invention]
[0004] The invention described in Patent Document 1 detects whether people are currently present or absent in the home and controls the appliance accordingly, without taking into consideration how long the detected state will continue. As a result, the invention described in Patent Document 1 may perform unattended cleaning even when people return home immediately after leaving the home. In this case, unattended cleaning will be performed when the user is still at home, which may cause discomfort to the user.
[0005] The present disclosure has been made in consideration of the above-mentioned situation, and aims to provide an appliance control device, an appliance control method, a program, and an appliance control system that are capable of appropriately controlling appliances in a home without compromising the user's comfort. [Means for solving the problem]
[0006] In order to achieve the above object, the device control device according to the present disclosure includes: environmental information acquisition means for acquiring environmental information in the home; Based on the environmental information acquired by the environmental information acquisition means, Whether the user is away, at home and asleep, or at home and awake; and When the condition continues Between a state estimation means for estimating the state of the vehicle; an appliance control means for controlling the appliances in the home based on the estimation result by the state estimation means; Equipped with The device control means When the state estimation means estimates that the user is absent, it is possible to control appliances that have a louder operating noise level than when the state estimation means estimates that the user is at home and asleep or at home and awake, When the state estimation means estimates that the user is at home and asleep, it is possible to control appliances that have a louder operating noise level than when the state estimation means estimates that the user is at home and awake. [Effects of the Invention]
[0007] According to the present disclosure, it is possible to appropriately control devices in the home without impairing the user's comfort. [Brief explanation of the drawings]
[0008] [Figure 1] FIG. 1 is a diagram illustrating a configuration of a device control system according to an embodiment of the present disclosure. [Figure 2] FIG. 1 is a block diagram illustrating a configuration of a device control device according to an embodiment of the present disclosure. [Figure 3] A diagram showing examples of learned lifestyle patterns [Figure 4] FIG. 10 is a diagram illustrating an example of the configuration of a maintenance function table according to an embodiment of the present disclosure. [Figure 5] Flowchart of learning process according to an embodiment of the present disclosure [Figure 6] Flowchart of device control processing according to an embodiment of the present disclosure [Figure 7] FIG. 1 is a diagram showing a configuration of a device control system according to a first modification of the present disclosure. [Figure 8] A block diagram showing the configuration of a device control device according to a first modification of the present disclosure. [Figure 9] FIG. 10 is a diagram showing an example of a setting screen according to a first modification of the present disclosure. [Figure 10]FIG. 10 is a diagram illustrating an example of the configuration of a maintenance function table according to another modification of the present disclosure. [Figure 11] FIG. 10 is a diagram illustrating an example of the configuration of a maintenance function table according to another modification of the present disclosure. [Figure 12] FIG. 10 is a diagram showing an example of the configuration of a control condition table according to another modification of the present disclosure; [Figure 13] 10 is a flowchart of a device control process according to another modification of the present disclosure. [Figure 14] FIG. 10 is a diagram illustrating a configuration of a device control system according to another modification of the present disclosure. DETAILED DESCRIPTION OF THE INVENTION
[0009] Hereinafter, embodiments of the present disclosure will be described in detail with reference to the drawings, in which the same or corresponding parts are designated by the same reference numerals.
[0010] A device control system 1 according to an embodiment of the present disclosure will be described. As shown in Fig. 1, the device control system 1 includes devices 10 installed in a house 100, such as an air conditioner 10A, a washer / dryer 10B, a dishwasher 10C, a water heater 10D, and a microwave oven 10E, a group of environment acquisition sensors 20, and a device control device 30 communicably connected to each of these components via a network N1. The network N1 is, for example, a home network conforming to ECHONET (registered trademark), the Internet, or the like. The network N1 may be wired or wireless.
[0011] Air conditioner 10A, washer-dryer 10B, dishwasher 10C, water heater 10D, and microwave oven 10E are home appliances that have the function of connecting to network N1, and their operation is controlled by appliance control device 30 via network N1. In the following description, when there is no need to distinguish between air conditioner 10A, washer-dryer 10B, dishwasher 10C, water heater 10D, and microwave oven 10E, they will also be referred to as appliance 10.
[0012] Each device 10 in this embodiment has a main function, which is an inherent function of the home appliance, and a maintenance function for maintaining and repairing the main function. For example, if the device 10 is an air conditioner 10A, the main function is cooling, heating, dehumidification, etc., and the maintenance function is an automatic filter cleaning function. In order for the device 10 to properly perform its main function, it is necessary to perform the maintenance function at an appropriate frequency. Note that, depending on the device 10, noise may be generated while the maintenance function is being performed, which may cause discomfort to the user.
[0013] The environment acquisition sensor group 20 is a variety of sensors for detecting the environment inside the home. Specifically, the environment acquisition sensor group 20 is composed of a human presence sensor, a thermal image sensor, a camera, a microphone, a millimeter wave sensor, etc. The environment acquisition sensor group 20 detects environment information inside the home at predetermined time intervals as needed and transmits the information to the appliance control device 30. The environment information includes, for example, information indicating the presence or absence of people inside the home, thermal image information, audio information, image information, information indicating people's posture and movement, etc.
[0014] The device control device 30 is a device for monitoring and controlling each device 10 via the network N1. As shown in FIG. 2, the device control device 30 includes a communication unit 31, a control unit 32, and a storage unit 33.
[0015] The communication unit 31 is a communication interface that enables the device control device 30 to communicate with the device 10 and the environment acquisition sensor group 20 via the network N1.
[0016] The control unit 32 includes a CPU (Central Processing Unit), a ROM (Read Only Memory) that stores programs such as an operating system, and a RAM (Random Access Memory) that serves as a work area. The control unit 32 controls the entire device control device 30. The control unit 32 also includes, as functional components, an environment acquisition unit 321, a learning unit 322, a state estimation unit 323, and a device control unit 324.
[0017] The environment acquisition unit 321 acquires environmental information about the inside of the house 100 from the environment acquisition sensor group 20. Furthermore, the environment acquisition unit 321 associates the acquired environmental information with the acquisition date and time as needed, and stores the information in an environment storage DB 331 (described later). The environment acquisition unit 321 is an example of an environmental information acquisition means of the present disclosure.
[0018] The learning unit 322 learns the daily lifestyle pattern of the user in the home based on the history of environmental information stored in the environment memory DB 331. Specifically, the learning unit 322 learns the user's lifestyle pattern, such as the time period when the user is out, the time period when the user is in the room, and the time period when the user is sleeping. FIG. 3 shows an example of a user's lifestyle pattern learned by the learning unit 322. It is desirable that the learning unit 322 perform such learning by unit of day of the week, month, season, or the like. For example, when learning the user's lifestyle pattern on Wednesday, the learning unit 322 may learn the lifestyle pattern by using only the environmental information stored in the environment memory DB 331 that was acquired on Wednesday. The learning unit 322 is an example of a learning means of the present disclosure.
[0019] The state estimation unit 323 estimates the current state of the user from the latest environmental information acquired by the environment acquisition unit 321. Specifically, the state estimation unit 323 estimates, as the user's state, whether the user is present or absent, and if the user is present or absent, whether the user is asleep or absent. Therefore, the state estimation unit 323 estimates whether the user's state is "not present," "at home and awake," or "at home and asleep."
[0020] Furthermore, the state estimation unit 323 estimates the duration of the estimated user state based on the lifestyle pattern learned by the learning unit 322. For example, consider a case where the lifestyle pattern shown in FIG. 3 has been learned and the user's state is estimated to be "away" at 2 p.m. In this case, the lifestyle pattern shown in FIG. 3 indicates that the user is likely to return home at 7 p.m., so the state estimation unit 323 can estimate that the duration of the "away" state is five hours, from 2 p.m. to 7 p.m. On the other hand, if the user's state is estimated to be "at home and awake" at 2 p.m., the lifestyle pattern shown in FIG. 3 indicates that the user is usually away at this time, so the state estimation unit 323 can determine that this state will not continue for long and estimate the duration to be one hour. The state estimation unit 323 is an example of a state estimation means of the present disclosure.
[0021] 2, the device control unit 324 controls each device 10 based on the estimation result by the state estimation unit 323. Specifically, the device control unit 324 refers to a maintenance function table 333 (described later) based on the user's state estimated by the state estimation unit 323 and its duration, and causes a specific device 10 that does not impair the user's comfort to execute a maintenance function. The device control unit 324 is an example of a device control means of the present disclosure.
[0022] The storage unit 33 serves as a so-called secondary storage device (auxiliary storage device) and is, for example, a readable / writable nonvolatile flash memory, a hard disk drive, etc. The storage unit 33 stores programs and various data executed by the control unit 32. The storage unit 33 also has an environment storage DB 331, a learning result storage DB 332, and a maintenance function table 333.
[0023] The environment storage DB 331 stores the indoor environment information acquired by the environment acquisition sensor group 20 in chronological order along with the acquisition date and time information.
[0024] The learning result storage DB 332 stores information indicating the lifestyle patterns of the user learned by the learning unit 322.
[0025] The maintenance function table 333 is a table in which information about the maintenance functions of each device 10 is registered. Specifically, as shown in Fig. 4, the maintenance function table 333 registers, for each device 10, the execution time of the maintenance function, the operating sound level during execution of the maintenance function, and information indicating the content of the maintenance function. The execution time registered in the maintenance function table 333 is set to an appropriate time that allows sufficient maintenance and inspection of the main function of the device 10 by the maintenance function.
[0026] The operation noise levels registered in the maintenance function table 333 represent the volume of the operation noise of the device 10 while a maintenance function is being executed, as either "high," "medium," or "low." A maintenance function with a "high" operation noise level generates a very loud noise during execution, and is therefore desirably executed when the user is not present. A maintenance function with a "medium" operation noise level generates a quieter noise than a "high" operation noise level, but still generates a noise that is unpleasant to a user who is awake, and is therefore desirably executed when the user is not present or while the user is asleep. A maintenance function with a "low" operation noise level does not generate a noise that is unpleasant to a user during execution, and may be executed at any time regardless of the user's state.
[0027] Next, the processing executed by the device control device 30 will be described. First, the learning processing executed by the device control device 30 will be described. After several months have passed since the device control system 1 began operating, sufficient environmental information for the learning processing is accumulated in the environment memory DB 331. Thereafter, the user issues an instruction to start the learning processing by voice, button operation, or the like. In response to this instruction, the device control device 30 starts the learning processing shown in the flowchart of FIG. 5.
[0028] When the learning process starts, first, the learning unit 322 of the device control device 30 learns the user's lifestyle patterns from the environmental information stored in chronological order in the environment memory DB 331 (step S101). For example, the learning unit 322 may learn the user's lifestyle patterns from the environmental information by a machine learning technique based on a neural network model.
[0029] Next, the learning unit 322 stores information indicating the learned lifestyle pattern of the user in the learning result storage DB 332 (step S102). This ends the learning process.
[0030] Next, a description will be given of the device control process executed by the device control device 30. Note that the above-described learning process has already been executed before the device control process is executed. For example, every hour, the device control device 30 executes the device control process shown in the flowchart of FIG.
[0031] When the device control process starts, first, the environment acquisition unit 321 of the device control device 30 acquires the latest environmental information in the house 100 from the environment acquisition sensor group 20 (step S201). Step S201 is an example of an environmental information acquisition step of the present disclosure.
[0032] Next, the state estimation unit 323 estimates whether the user's current state is "away," "at home and awake," or "asleep" from the acquired environmental information (step S202). Then, the state estimation unit 323 estimates the duration of the estimated state based on the user's lifestyle pattern stored in the learning result storage DB 332 (step S203). Steps S202 and S203 are examples of state estimation steps of the present disclosure.
[0033] If it is estimated in step S202 that the user's status is "Away" (step S204; Yes), the user's comfort will not be impaired if the maintenance function is executed while the "Away" status continues. Therefore, the device control unit 324 refers to the maintenance function table 333 and identifies devices 10 that have maintenance functions whose execution time is less than or equal to the estimated duration (step S205). Then, the process proceeds to step S209.
[0034] 4 is registered in maintenance function table 333, the user status is "away," and the duration of the status is estimated to be six hours. In this case, in step S205, device control unit 324 identifies washer-dryer 10B and dishwasher 10C, whose maintenance function execution time is six hours or less, as devices for which the maintenance function should be executed.
[0035] On the other hand, if the user's status is not "away" in step S202 (step S204; No) but is estimated to be "sleeping at home" (step S206; Yes), executing a maintenance function with a "high" operating noise level would impair the comfort of the sleeping user. Therefore, the device control unit 324 refers to the maintenance function table 333 and identifies devices 10 that have maintenance functions with an operating noise level of "medium" or "low" and whose execution time is less than or equal to the estimated duration (step S207). Then, the process proceeds to step S209.
[0036] 4 is registered in the maintenance function table 333, the user's state is "sleeping at home," and the duration of this state is estimated to be six hours. In this case, in step S207, the appliance control unit 324 identifies, as the appliance 10 for which the maintenance function should be executed, dishwasher 10C, which has a maintenance function operation noise level of "medium" or "low" and an execution time of six hours or less.
[0037] On the other hand, if the user's state is not "asleep at home" in step S206 (step S206; No), the user's state becomes "wake up at home," and executing a maintenance function with an operation noise level of "high" or "medium" would impair the user's comfort while awake. Therefore, the device control unit 324 refers to the maintenance function table 333 and identifies a device 10 that has a maintenance function with an operation noise level of "low" (step S208). Then, the process proceeds to step S209.
[0038] 4 is registered in maintenance function table 333, and the user's state is estimated to be "at home and awake." In this case, in step S208, appliance control unit 324 identifies microwave oven 10E, whose maintenance function operation noise level is "low," as appliance 10 for which the maintenance function is to be executed.
[0039] In step S209, the device control unit 324 controls the device 10 identified in step S205, S207, or S208 to execute the maintenance function for the execution time specified in the maintenance function table 333 (step S209). For example, the device control unit 324 may transmit a control signal to the identified device 10 via the network N1 to cause the device 10 to execute the maintenance function for the execution time. Note that a device 10 currently executing a maintenance function or a device 10 for which a predetermined time has not yet elapsed since the previous execution of a maintenance function may be excluded from the control target of step S209. This completes the device control process. Steps S204 to S209 are an example of device control steps of the present disclosure.
[0040] As described above, according to the present disclosure, not only is the state of the user in the home estimated based on the environmental information, but the duration of that state is also estimated, and the appliance 10 is controlled based on the estimation result. As a result, even if it is estimated that the user is absent, if the duration is short, it is possible to control the appliance 10 so as to refrain from executing a maintenance function that generates loud operating noise, thereby making it possible to appropriately control the appliance 10 in the home without impairing the comfort of the user.
[0041] (Variation 1) Next, a first modification of the above-described embodiment will be described. The same components as those in the above-described embodiment will be assigned the same reference numerals, and descriptions thereof will be simplified or omitted as appropriate. It is empirically known that even for the same maintenance function, the degree to which users find the operation noise felt during execution to be unpleasant varies depending on the individual user. The first modification is characterized in that the user can set the operation noise level of the maintenance function, thereby enabling the device 10 to be controlled in a way that is more optimal for each individual user.
[0042] FIG. 7 is a diagram showing a device control system 1 according to Modification 1. FIG. 8 is a diagram showing the configuration of a device control device 30 according to Modification 1. In the device control system 1 according to Modification 1, the device control device 30 is communicatively connected to a terminal 40 via the Internet N2. The terminal 40 is a tablet terminal, a smartphone, or the like operated by a user, and transmits and receives various information to and from the device control device 30 via the Internet N2. The terminal 40 also has a function for connecting to the network N1, and when located within the house 100, it is also possible for the terminal 40 to communicate with the device control device 30 via the network N1.
[0043] The device control device 30 of the first modification also includes a new device setting unit 325 as a functional component of the control unit 32. The device setting unit 325 sets the operation sound level of the maintenance function of each device 10 based on input from the user. Specifically, in response to a request from the terminal 40, the device setting unit 325 causes the terminal 40 to display a setting screen for setting the operation sound level of the maintenance function of each device 10, as shown in FIG. 9 . The user of the terminal 40 operates the terminal 40 to input information for setting the operation sound from the displayed setting screen, and the device setting unit 325 of the device control device 30 updates the operation sound level of the maintenance function registered in the maintenance function table 333 based on the input. The device setting unit 325 is an example of a device information setting means of the present disclosure.
[0044] With this configuration, the user can, for example, set the operation noise level of a maintenance operation that the user finds unpleasant to "high," so that the maintenance operation is not performed unless the user is absent. Also, the user can set the operation noise level of a maintenance operation that the user does not find unpleasant to "low," so that the maintenance operation is performed regardless of whether the user is present or absent. In other words, according to this first modification, it is possible to control the device 10 in a way that does not cause discomfort to the individual user.
[0045] (Other variations) The present disclosure is not limited to the above embodiment and modified example 1, and various modifications are of course possible within the scope of the gist of the present disclosure.
[0046] For example, the maintenance function table 333 referenced in the appliance control process may be different depending on the learned lifestyle pattern of the user. For example, if the learning process learns that the user has a lifestyle pattern in which people are mostly present at home due to telecommuting, home caregiving, etc., and the duration of the user's absence is very short, the appliance control process may be performed using the maintenance function table 333 shown in FIG. 10 instead of FIG. 4. The maintenance function table 333 shown in FIG. 10 has a shorter execution time for the maintenance function for the operation sound level "high" than that shown in FIG. 4. This makes it easier to execute the maintenance function for the operation sound level "high" even when the duration of the user's absence is short. Furthermore, for a user with a lifestyle pattern in which the user is often out and spends little time at home, performing the appliance control process using the maintenance function table 333 shown in FIG. 11 instead of FIG. 4 makes it easier to execute the maintenance function when the user is at home for a short period of time.
[0047] 6 is merely an example, and the process can be further simplified. For example, by storing a control condition table such as that shown in FIG. 12 in the storage unit 33, the device control process can be simplified as shown in the flowchart of FIG. 13.
[0048] In this device control process, environmental information is similarly acquired (step S201), and the user's state and its duration are estimated (steps S202 and S203). Then, the device control unit 324 refers to the control condition table shown in Fig. 12 and controls the devices 10 that meet the conditions to execute the maintenance function (step S210). This makes it possible to reduce the processing time compared to the device control process shown in Fig. 6.
[0049] In addition, in the above embodiment, an example has been described in which the device 10 is subjected to maintenance operation in the device control process, but the present disclosure is not limited to control of the maintenance operation of the device 10. For example, the present disclosure can also be applied to control of the main function of the device 10.
[0050] Furthermore, in the above embodiment, the device control system 1 has been described in which the device control device 30 is provided inside the house 100, but the device control device 30 may also be provided outside the house 100. For example, in the device control system 1 shown in Fig. 14, the device control device 30 is provided outside and is connected to each device 10 and the environment acquisition sensor group 20 via a router 50 inside the house 100.
[0051] In addition, in the above embodiment, the program executed by the control unit 32 of the device control device 30 can be applied to an existing computer, so that the computer can function as the control unit 32 according to the present disclosure.
[0052] Such programs may be distributed in any manner, for example, by storing them on a computer-readable recording medium such as a CD-ROM (Compact Disk Read-Only Memory), a DVD (Digital Versatile Disk), an MO (Magneto Optical Disk), or a memory card, or by distributing them via a communications network such as the Internet.
[0053] The present disclosure allows various embodiments and modifications without departing from the broad spirit and scope of the present disclosure. Furthermore, the above-described embodiments are intended to explain the present disclosure and do not limit the scope of the present disclosure. That is, the scope of the present disclosure is defined by the claims, not the embodiments. Various modifications made within the scope of the claims and the meaning of equivalent disclosures are considered to be within the scope of the present disclosure. [Explanation of symbols]
[0054] 1 Equipment control system, 10 Equipment, 10A Air conditioner, 10B Washer / dryer, 10C Dishwasher, 10D Water heater, 10E Microwave oven, 20 Environmental acquisition sensor group, 30 Equipment control device, 40 Terminal, 100 House, N1 Network, N2 Internet, 31 Communication unit, 32 Control unit, 321 Environmental acquisition unit, 322 Learning unit, 323 State estimation unit, 324 Equipment control unit, 325 Equipment information setting unit, 33 Memory unit, 331 Environmental memory DB, 332 Learning result memory DB, 333 Maintenance function table
Claims
1. environmental information acquisition means for acquiring environmental information in the home; a state estimation means for estimating whether the user is in an absent state, an at-home and sleeping state, or an at-home and awake state, and the duration of the state, based on the environmental information acquired by the environmental information acquisition means; an appliance control unit that controls the appliances in the home based on the estimation result by the state estimation unit; The device control means When the state estimation means estimates that the user is absent, it is possible to control appliances that have a louder operating noise level than when the state estimation means estimates that the user is at home and asleep or at home and awake, When the state estimation means estimates that the user is at home and asleep, it is possible to control an appliance that has a louder operating noise level than when the state estimation means estimates that the user is at home and awake. Equipment control device.
2. An environmental information acquisition means for acquiring environmental information in a home; a state estimation means for estimating a state of the user and a duration of the state based on the environmental information acquired by the environmental information acquisition means; a maintenance function table in which execution times and operation sound levels of the maintenance functions of the home appliances are registered; and a device control means, when the state of the user estimated by the state estimation means is a state of being absent from the home, causing the device to execute a maintenance function whose execution time registered in the maintenance function table is equal to or less than the estimated duration of the absence state, The shorter the time the user is absent from the home, the shorter the execution time of the maintenance function with an operation sound level equal to or greater than the threshold registered in the maintenance function table. Equipment control device.
3. further comprising learning means for learning a lifestyle pattern of the user based on the environmental information acquired by the environmental information acquisition means; the state estimation means estimates the duration based on the user's lifestyle pattern learned by the learning means; The device control device according to claim 1 or 2.
4. The device control means controls the in-home devices to perform a maintenance function. The equipment control device according to claim 1 .
5. The equipment control means controls the equipment in the home based on the operation sound level and execution time of the maintenance function. The equipment control device according to claim 4 .
6. The system further includes a device information setting unit that sets an operation sound level of the maintenance function based on an input from the user. The device control device according to claim 2 or 5.
7. an environmental information acquisition step of acquiring environmental information in the home; a state estimating step of estimating whether the user is in an absent state, an at-home and sleeping state, or an at-home and awake state, and a duration of the state, based on the environmental information acquired in the environmental information acquiring step; an appliance control step of controlling the appliances in the home based on the estimation result in the state estimation step; In the device control step, When the state estimation step estimates that the user's state is absent, it is possible to execute control of appliances having a louder operating noise level than when the state estimation step estimates that the user is at home and asleep or at home and awake, When the state estimation step estimates that the user's state is at home and asleep, it is possible to control an appliance that has a louder operating noise level than when the state estimation step estimates that the user is at home and awake. Equipment control methods.
8. Computer, environmental information acquisition means for acquiring environmental information within the home; a state estimation means for estimating whether the user is in an absent state, an at-home and sleeping state, or an at-home and awake state, and the duration of the state, based on the environmental information acquired by the environmental information acquisition means; an appliance control means for controlling the appliances in the home based on the estimation result by the state estimation means; It functions as The device control means When the state estimation means estimates that the user is absent, it is possible to control appliances that have a louder operating noise level than when the state estimation means estimates that the user is at home and asleep or at home and awake, When the state estimation means estimates that the user is at home and asleep, it is possible to control an appliance that has a louder operating noise level than when the state estimation means estimates that the user is at home and awake. program.
9. An appliance control system including a sensor for detecting environmental information in a home and an appliance control device, The device control device environmental information acquisition means for acquiring environmental information about the home from the sensor; a state estimation means for estimating whether the user is in an absent state, an at-home and sleeping state, or an at-home and awake state, and the duration of the state, based on the environmental information acquired by the environmental information acquisition means; an appliance control unit that controls the appliances in the home based on the estimation result by the state estimation unit; The device control means When the state estimation means estimates that the user is absent, it is possible to control appliances that have a louder operating noise level than when the state estimation means estimates that the user is at home and asleep or at home and awake, When the state estimation means estimates that the user is at home and asleep, it is possible to control an appliance that has a louder operating noise level than when the state estimation means estimates that the user is at home and awake. Equipment control system.
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