Intelligent regulation and control method and system for preparation scene before sleep

文档序号:1286340 发布日期:2020-08-28 浏览:2次 中文

阅读说明:本技术 睡前准备场景智能调控方法及系统 (Intelligent regulation and control method and system for preparation scene before sleep ) 是由 刘维兵 艾长滨 汤丹 于 2020-04-27 设计创作,主要内容包括:本发明提供了一种睡前准备场景智能调控方法及系统,在本发明提供的方法中,可以获取目标环境进入睡前准备场景的触发事件,以及目标用户在睡前准备场景下的历史行为特征数据,以在目标环境中选取多个环境调节设备后,为各环境调节设备设置其在睡前准备场景下的目标运行曲线,控制各环境调节设备按照各自的目标运行曲线运行。基于本发明提供的方法,可以基于目标用户的历史行为特征数据选取多个环境调节设备,以联合多个环境调节设备创建睡觉准备场景,为目标用户营造良好的睡前环境氛围。(The invention provides an intelligent regulation and control method and system for a pre-sleep preparation scene. Based on the method provided by the invention, a plurality of environment adjusting devices can be selected based on the historical behavior characteristic data of the target user, so that a sleep preparation scene is created by combining the plurality of environment adjusting devices, and a good environment atmosphere before sleep is created for the target user.)

1. An intelligent regulation and control method for a pre-sleep preparation scene comprises the following steps:

acquiring a trigger event of a preparation scene before a target environment enters sleep;

acquiring historical behavior characteristic data of a target user in the target environment under the pre-sleep preparation scene;

selecting a plurality of environment adjusting devices in the target environment based on the historical behavior characteristics;

setting a target operation curve under the pre-sleep preparation scene for each environment adjusting device, and controlling each environment adjusting device to operate according to the respective target operation curve.

2. The method of claim 1, wherein the triggering event comprises:

the user behavior characteristics of the target user accord with the events of preset behavior conditions; or

An event of a preset speech signal occurs within the target environment.

3. The method of claim 1, wherein obtaining historical behavioral characteristic data of a target user in a pre-sleep preparation scenario in the target environment comprises:

and acquiring various types of activities, types of the activities and positions and time for completing the activities of the target user in the target environment in a preparation scene before sleep within a preset historical time period.

4. The method of claim 3, wherein said selecting a plurality of environmental conditioning devices in the target environment based on the historical behavioral characteristic data comprises:

determining a plurality of different types of environmental parameters in the target environment when the target user completes the various types of activities based on the historical behavior feature data;

and selecting a plurality of environment adjusting devices which are deployed in the target environment and used for adjusting the environment parameters.

5. The method of claim 4, wherein setting a target operating curve for each of the environmental conditioning devices in the pre-sleep preparation scenario comprises:

acquiring target environment parameters of the target environment in the pre-sleep preparation scene;

setting a target operation curve of each environment adjusting device based on the target environment parameters; wherein the target operating curve comprises a plurality of successive operating phases, and phase operating parameters and operating times for each operating phase.

6. The method of claim 1, wherein setting a target operation curve in the pre-sleep preparation scenario for each of the environmental conditioning devices, and controlling each of the environmental conditioning devices to operate according to the respective target operation curve further comprises:

acquiring behavior characteristic data of the target user within a preset time before the preset scene event is triggered;

and adjusting the target operation curve of each environment adjusting device based on the behavior characteristic data.

7. The method of claim 1, wherein setting a target operation curve in the pre-sleep preparation scenario for each of the environmental conditioning devices, and controlling each of the environmental conditioning devices to operate according to the respective target operation curve further comprises:

acquiring physiological characteristic information of the target user;

and adjusting the target operation curve of each environment adjusting device based on the physiological characteristic information of the target user, and controlling each environment adjusting device to operate according to the adjusted target operation curve.

8. The method of claim 1, wherein setting a target operation curve in the pre-sleep preparation scenario for each of the environmental conditioning devices, and controlling each of the environmental conditioning devices to operate according to the respective target operation curve further comprises:

acquiring environment detection data of the target environment;

calculating deviation values of the target environment parameters and the corresponding environment detection data;

and adjusting the target operation curve of each environment adjusting device according to the deviation value, and controlling each environment adjusting device to operate according to the adjusted target operation curve.

9. The method of claim 8, wherein calculating deviation values for each of the target environmental parameters and corresponding environmental test data further comprises:

evaluating the comfort degree influence of the deviation of each target environment parameter and the corresponding environment detection data on the target environment;

limiting a function of the environment adjusting apparatus corresponding to a deviation that has a small influence on comfort.

10. A pre-sleep preparation scene intelligent regulation and control system comprises:

one or more environment adjusting devices for placement in the sleep environment, each of the environment adjusting devices for adjusting one or more environmental parameters of the sleep environment; and

an environmental conditioning controller, comprising: a processor and a memory, wherein the memory stores a control program, and the control program is used for realizing the method for intelligently regulating the pre-sleep preparation scene according to any one of claims 1 to 9 when being executed by the processor.

Technical Field

The invention relates to the technical field of intelligent families, in particular to an intelligent regulation and control method and system for a preparation scene before sleep.

Background

Generally speaking, when a user is ready to fall asleep, the user can perform a series of relatively various actions such as turning on an ambient lamp, searching for an air conditioner remote controller to turn on an air conditioner, adjusting the temperature of the air conditioner, adjusting the wind speed and the wind direction, and pulling a curtain; or, some users may read books, practice yoga, or perform other activities before sleeping. For different types of activities, the required environmental atmospheres are different, and at this time, the user is often required to manually adjust the environments in sequence to adapt to different situations, so that the process is complicated, and the user experience is poor.

Disclosure of Invention

It is an object of the present invention to provide a method for intelligently adjusting the environment in a pre-sleep preparation scenario.

It is a further object of the invention to improve the comfort of the user in the target environment.

Particularly, the invention provides an intelligent regulation and control method for a preparation scene before sleep, which comprises the following steps:

acquiring a trigger event of a preparation scene before a target environment enters sleep;

acquiring historical behavior characteristic data of a target user in a target environment in a preparation scene before sleep;

selecting a plurality of environment adjusting devices in the target environment based on the historical behavior characteristics;

and setting a target operation curve in a scene prepared before sleep for each environment adjusting device, and controlling each environment adjusting device to operate according to the respective target operation curve.

Optionally, the triggering event includes:

the event that the user behavior characteristics of the target user accord with the preset behavior conditions; or

An event of a predetermined speech signal occurs within the target environment.

The method for acquiring historical behavior characteristic data of a target user in a target environment in a pre-sleep preparation scene comprises the following steps:

various activities, types of the activities, and positions and times when the activities are completed by the target user in the target environment in the preset historical time period under the preparation scene before sleep are acquired.

Optionally, selecting a plurality of environment adjusting devices in the target environment based on the historical behavior feature data includes:

determining a plurality of different types of environment parameters in a target environment when the target user completes various activities based on historical behavior characteristic data;

selecting a plurality of environment adjusting devices for adjusting environment parameters deployed in a target environment.

Optionally, setting the target operation curve in the pre-sleep preparation scene for each environment adjusting device includes:

acquiring target environment parameters of a target environment in a preparation scene before sleep;

setting a target operation curve of each environment adjusting device based on the target environment parameters; the target operating curve comprises a plurality of continuous operating phases, and phase operating parameters and operating time of each operating phase.

Optionally, after setting a target operation curve in a scene prepared before sleep for each environment adjusting device, and controlling each environment adjusting device to operate according to the respective target operation curve, the method further includes:

acquiring behavior characteristic data of a target user within preset time before a preset scene event is triggered;

and adjusting the target operation curve of each environment adjusting device based on the behavior characteristic data.

Optionally, after setting a target operation curve in a scene prepared before sleep for each environment adjusting device, and controlling each environment adjusting device to operate according to the respective target operation curve, the method further includes:

acquiring physiological characteristic information of a target user;

and adjusting the target operation curve of each environment adjusting device based on the physiological characteristic information of the target user, and controlling each environment adjusting device to operate according to the adjusted target operation curve.

Optionally, after setting a target operation curve in a scene prepared before sleep for each environment adjusting device, and controlling each environment adjusting device to operate according to the respective target operation curve, the method further includes:

acquiring environment detection data of a target environment;

calculating deviation values of the target environmental parameters and the corresponding environmental detection data;

and adjusting the target operation curve of each environment adjusting device according to the deviation value, and controlling each environment adjusting device to operate according to the adjusted target operation curve.

Optionally, after calculating the deviation value between each target environmental parameter and the corresponding environmental detection data, the method further includes:

evaluating the comfort degree influence of the deviation of each target environment parameter and the corresponding environment detection data on the target environment;

and limiting the function corresponding to the deviation of the environment adjusting equipment which has small influence on the comfort level.

According to another aspect of the present invention, there is also provided a pre-sleep preparation scene intelligent regulation and control system, including:

one or more environment adjusting devices for being disposed in the sleep environment, each environment adjusting device for adjusting one or more environmental parameters of the sleep environment; and

an environmental conditioning controller, comprising: the intelligent regulation and control method comprises a processor and a memory, wherein a control program is stored in the memory, and the control program is used for realizing the intelligent regulation and control method for the pre-sleep preparation scene according to any one of the above items when being executed by the processor.

The invention provides an intelligent regulation and control method and system for a pre-sleep preparation scene. Based on the method provided by the invention, a plurality of environment adjusting devices can be selected based on the historical behavior characteristic data of the target user, so that a sleep preparation scene is created by combining the plurality of environment adjusting devices, and a good environment atmosphere before sleep is created for the target user.

Further, the method provided by the invention can also be based on

The above and other objects, advantages and features of the present invention will become more apparent to those skilled in the art from the following detailed description of specific embodiments thereof, taken in conjunction with the accompanying drawings.

Drawings

Some specific embodiments of the invention will be described in detail hereinafter, by way of illustration and not limitation, with reference to the accompanying drawings. The same reference numbers in the drawings identify the same or similar elements or components. Those skilled in the art will appreciate that the drawings are not necessarily drawn to scale. In the drawings:

fig. 1 is a schematic flow chart of a method for intelligently regulating a pre-sleep preparation scene according to an embodiment of the invention;

FIG. 2 is a schematic architecture diagram of a pre-sleep preparation scenario intelligent regulation system according to an embodiment of the invention;

FIG. 3 is a schematic block diagram of an environmental conditioning controller according to an embodiment of the present invention.

Detailed Description

Fig. 1 is a schematic flow chart of an intelligent regulation and control method for a pre-sleep preparation scene according to an embodiment of the present invention, and as can be seen from fig. 1, the intelligent regulation and control method for the pre-sleep preparation scene provided in this embodiment may include:

step S102, acquiring a trigger event of a preparation scene before a target environment falls asleep;

step S104, acquiring historical behavior characteristic data of a target user in a target environment in a preparation scene before sleep;

step S106, selecting a plurality of environment adjusting devices in the target environment based on the historical behavior characteristics;

and S108, setting target operation curves in the scene of preparation before sleep for each environment adjusting device, and controlling each environment adjusting device to operate according to the respective target operation curves.

The embodiment of the invention provides an intelligent regulation and control method for a pre-sleep preparation scene, which can be used for acquiring a trigger event of a target environment entering the pre-sleep preparation scene and historical behavior characteristic data of a target user in the pre-sleep preparation scene, setting a target operation curve of each environment regulation device in the pre-sleep preparation scene after selecting a plurality of environment regulation devices in the target environment, and controlling each environment regulation device to operate according to the respective target operation curve. Based on the method provided by the embodiment of the invention, a plurality of environment adjusting devices can be selected based on the historical behavior characteristic data of the target user, so that a sleep preparation scene is created by combining the plurality of environment adjusting devices, and a good environment atmosphere before sleep is created for the target user.

In step S102, a trigger event for acquiring a preparation scene before the target environment enters sleep needs to be acquired. Optionally, the trigger event may include: the event that the user behavior characteristics of the target user accord with the preset behavior conditions; or an event in which a predetermined speech signal occurs within the target environment. For example, according to an event that a user enters the target environment and is detected by a human body sensing device arranged at a designated position of the target environment, the user behavior characteristics conform to a preset condition of entering the target environment. The preset behavior condition may be set according to different scene types, which is not limited in the present invention. In addition, an event of a preset voice signal occurring in the target environment may be obtained by obtaining the voice information of the user in the target environment, for example, the preset voice signal may be "little preferred, i.e. i want to go to sleep", or other voice signals having the same semantic meaning, and when the event of the preset voice signal occurring in the target environment is a trigger event of the preparation scene before the target environment goes to sleep.

The preparation scene before sleep mentioned in the embodiment is a preparation scene before the user falls asleep, and when the control scene of the target environment is set as the preparation scene before sleep, the automatic opening of an air conditioner, aroma and light and the automatic closing of a bed curtain can be realized, so that the scene of the automatic realization of the preparation before sleep is established.

Referring to step S104, after the trigger event that the target environment enters the pre-sleep preparation scenario is obtained, the historical behavior feature data of the target user in the target environment in the pre-sleep preparation scenario may be obtained. When the historical behavior data of the target user is obtained, various activities, types of the activities, and positions and times when the activities are completed, which are performed by the target user in a preparation scene before sleep in a target environment within a preset historical time period, can be obtained. The preset historical time period may be a specified time period of the previous day, or the like, which is not limited in the present invention. The activities performed by the target user in the target environment within the preset historical time period may be activities corresponding to one or more activity types (reading, yoga, etc.) such as reading, magazine reading, music listening, book listening, yoga practicing, and meanwhile, the position and time of the user when completing various activities are also obtained, the position may be a specific position in the target environment, on the bed, in front of the desk, etc., and the time may be a start-stop time, a maintenance time, etc., so as to determine the activity sequence of various activities, etc.

Referring to step S106, after the historical behavior feature data of the target user is obtained, a plurality of environment adjusting devices may be selected from the target environment based on the historical behavior feature. In the foregoing, the various activities performed by the target user in the target environment, and the position, time and other related data when the activities are completed are already obtained, so that further, the environmental impact factors, such as temperature, humidity, taste, air quality, light intensity and the like, which need to be adjusted in the target environment when the activities are completed can be determined, and then a plurality of environmental adjustment devices capable of adjusting the environmental impact factors are selected in the target environment, so as to cooperatively realize the environmental adjustment of the target environment.

In this embodiment, the target environment may be a spatial environment where the user lives, such as a bedroom, a living room light. The environment adjusting device deployed in the target environment may include various devices installed in the target environment for adjusting one or more environmental conditions, including but not limited to household appliances for adjusting the environment (e.g., air conditioners, humidifiers, fans, fresh air devices, aromatherapy devices, audio/video players, mood lights, purifiers, heaters, etc.), bedding devices (smart mats, smart quilts, smart beds, smart chairs, etc.), and other devices that can be controlled to adjust (e.g., smart curtains, smart windows), etc.

Referring to step S108, after the plurality of environment adjusting devices are selected, a target operation curve may be set for each environment adjusting device, and in an optional embodiment of the present invention, a target environment parameter of the target environment in a pre-sleep preparation scene may be obtained first, and then the target operation curve of each environment adjusting device may be set based on the target environment parameter. When the target environment parameters are acquired, the target environment parameters may be acquired through a pre-established network learning model, that is, the historical behavior feature data acquired in step S104 is input into the pre-established and trained network learning model, and the historical behavior feature data is subjected to learning analysis through the network learning model, so that the target environment parameters matched with the historical behavior feature data are output.

In the embodiment of the invention, a unique corresponding identification code can be pre-allocated to each type of activity and activity place, namely the type of the activity and the activity place can be identified through the identification code, and after the information such as the time of the activity is combined and input into the existing network learning model, the matched target environment parameters can be obtained. The network learning model is obtained by learning in advance based on batch behavior characteristic data and corresponding environment parameters. The training method of the artificial intelligence classification model, the data labeling method, and the specific process and algorithm of the network learning model for data processing are known to those skilled in the art, and therefore are not described in detail in this embodiment.

The target operating curve of the climate control device may include a plurality of successive operating phases, as well as phase operating parameters and operating times for the respective operating phases. In practical application, one or more activity types of the target user in a preparation scene before sleep may be available, and after the acquired historical behavior characteristic data of the target user, the target environment parameters of the target environment when the user completes each activity can be effectively determined based on the historical behavior characteristic data, so that the operation parameters and the operation time of the environment adjusting equipment in different operation stages are set according to the activity type, the time and the like, a more comfortable environment atmosphere is created for the user according to the behavior characteristics of the target user, and the comfort level of the environment is improved.

In an optional embodiment of the present invention, after the step S108 controls each environmental adjustment device to operate according to its respective target operation curve, behavior feature data of the target user within a preset time before a preset scene event is triggered may also be obtained; and adjusting the target operation curve of each environment adjusting device based on the behavior characteristic data. The preset time may be one hour or several hours before the preset scene event is triggered, which is not limited in the present invention.

In some cases, the behavior characteristics of the target user on the current day may affect the target environment parameters of the target environment in the pre-sleep scenario. For example, if the acquired historical behavior feature data of the user is the user listening novel "a", but the behavior feature data of the target user is acquired within the preset time before the preset scene event is triggered as the listening novel "B", for the smart sound box, it is assumed that the target operation curve of the smart sound box is already set to play the novel "a" for 30 minutes, and at this time, the target operation curve of the smart sound box may be set to play the novel "B" for 30 minutes according to the newly acquired behavior data of the target user. Based on the method provided by the embodiment of the invention, the behavior characteristics of the target user can be obtained in time, so that the target environment can better meet the requirements of the user.

In addition to the above, the target operating curve of the climate control device may also be tabulated in accordance with the physiological characteristics of the target user himself. In an optional embodiment of the present invention, physiological characteristic information of the target user may also be obtained; and adjusting the target operation curve of each environment adjusting device based on the physiological characteristic information of the target user, and controlling each environment adjusting device to operate according to the adjusted target operation curve. In this embodiment, the physiological characteristic information of the target user may be body surface temperature, heart rate, whether to cough or not of the user, and then the target operation curve of the environment adjusting device is adjusted based on the physiological characteristic information of the target user, so that the environment adjusting device can perform real-time intelligent adjustment according to the characteristics of the user. When the target operation curve of the environment adjusting device is adjusted based on the physiological characteristic information, the physical health condition of the target user can be judged based on the physiological characteristic information, and then the target operation curve of the environment adjusting device is adjusted according to the physical health condition of the user. For example, if it is collected that the body surface temperature of the target user exceeds the normal temperature range, it may be determined whether the target user is in a fever state, so as to adjust the target operation curve of the environment adjusting device (such as an air conditioner, a humidifier, an air purifier, etc.) when the user is in the fever state, and create a comfortable environment for the user according to the physical health condition of the user.

In an optional embodiment of the present invention, environment detection data of a target environment may also be obtained; calculating deviation values of the target environmental parameters and the corresponding environmental detection data; and adjusting the target operation curve of each environment adjusting device according to the deviation value, and controlling each environment adjusting device to operate according to the adjusted target operation curve. That is, the target operation curve of the environment adjusting apparatus is adjusted by the deviation value of the environment detection data and the target environment data to reduce the deviation, thereby maintaining the environment within the set comfortable target range through the feedback control.

Furthermore, after calculating deviation values of the target environmental parameters and the corresponding environmental detection data, the comfort degree influence of the deviation of the target environmental parameters and the corresponding environmental detection data on the target environment can be evaluated; and limiting the function corresponding to the deviation of the environment adjusting equipment which has small influence on the comfort level. For example, the great comfort level influence when reading of noise deviation is more big than the air particulate matter rises to the comfort level influence, at this moment, can reduce air conditioner purification fan's wind speed, gives up purification performance through the part and guarantees that the noise descends, if the wind speed that reduces purification fan is not enough to guarantee that the noise is less than the noise threshold value, then can temporarily close purification performance, and the purification performance is opened again until after making the difference in temperature reduce because of the function of adjusting the temperature.

Based on the same inventive concept, the embodiment of the present invention further provides an intelligent regulation and control system for a pre-sleep preparation scene, which can include one or more environmental regulation devices 200 and an environmental regulation controller 100, referring to fig. 2.

One or more environment-adjusting devices 200 are provided for deployment in the target environment, each environment-adjusting device being configured to adjust one or more environmental parameters of the target environment. The environment adjusting device 200 may include various devices installed in a set space (e.g., a bedroom) for adjusting one or more environmental conditions, including but not limited to household appliances (e.g., an air conditioner, a humidifier, a fan, a fresh air device, an aromatherapy device, a video player, a mood light, a purifier, a heater, etc.) for adjusting the environment, bedding devices (e.g., a smart mat, a smart quilt, a smart bed, a smart chair, etc.), and other devices (e.g., a smart curtain, a smart window) capable of being controlled and adjusted. In this embodiment, the environmental parameters that can be adjusted include: temperature and humidity, and may further optionally include: wind speed, wind direction, air quality (particulate matter, carbon dioxide, ozone, formaldehyde, etc.), smell, volume, light, etc. The scheme of the embodiment can be used for realizing the optimization of the indoor environment in multiple dimensions of temperature, humidity, purity, oxygen, wind, silence and taste.

The environment adjusting controller 100 is in data connection with the environment adjusting device 200, and may be configured with network side devices such as a server and a cloud, acquire various items of data of a set space through a network, and implement adjustment of the environment of the set space by sending a remote instruction to the environment adjusting device 200. The environment conditioning controller 100 may also be various types of centralized control devices, be arranged in a set space, and control the environment conditioning device 200. The data connection between the environment adjusting controller 100 and the environment adjusting device 200 includes, but is not limited to, wireless transmission, infrared transmission, ultrasonic transmission, etc. In some embodiments, the environmental conditioning controller 100 may also be a part of the environmental conditioning apparatus 200, disposed in the environmental conditioning apparatus 200, and in data connection with the controller of the environmental conditioning apparatus 200, for example, the environmental conditioning apparatus 200 is internally provided with a dedicated environmental conditioning controller 100, and works with a controller dedicated to performing component control.

Fig. 3 is a schematic block diagram of the climate conditioning controller 100 according to one embodiment of the present invention, the climate conditioning controller 100 may include generally may include: a memory 120 and a processor 110, wherein a computer program 121 is stored in the memory 120, and the computer program 121 is used for implementing the method for intelligently controlling the pre-sleep preparation scene according to the embodiment when executed by the processor 110. The processor 110 may be a Central Processing Unit (CPU), a digital processing unit, or the like. The processor 110 transceives data through the communication interface. The memory 120 is used to store programs executed by the processor 110. The memory 120 is any medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer, or a combination of multiple memories 120. The control program may be downloaded from a computer-readable storage medium to a corresponding computing/processing device or downloaded and installed to the environment conditioning controller 100 via a network (e.g., the internet, a local area network, a wide area network, and/or a wireless network).

Thus, it should be appreciated by those skilled in the art that while a number of exemplary embodiments of the invention have been illustrated and described in detail herein, many other variations or modifications consistent with the principles of the invention may be directly determined or derived from the disclosure of the present invention without departing from the spirit and scope of the invention. Accordingly, the scope of the invention should be understood and interpreted to cover all such other variations or modifications.

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