CN114296356A - Intelligent temperature control device and control method - Google Patents
Intelligent temperature control device and control method Download PDFInfo
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- CN114296356A CN114296356A CN202111352674.4A CN202111352674A CN114296356A CN 114296356 A CN114296356 A CN 114296356A CN 202111352674 A CN202111352674 A CN 202111352674A CN 114296356 A CN114296356 A CN 114296356A
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Abstract
The invention discloses an intelligent temperature control device and a control method, which solve the problems that an intelligent home control system in the prior art does not consider the requirements of different sleep states of a user on home environment, and coordination work cannot be realized between equipment, so that the intelligent degree and the satisfaction degree and the trust degree of user experience are low. Therefore, the invention can realize cooperative control on the intelligent home environment according to the sleep state of the user and the intelligent home environment data.
Description
Technical Field
The invention relates to the technical field of smart home, in particular to an intelligent temperature control device and a control method.
Background
In recent years, with the development of communication technology, intelligent technology and mobile internet technology, smart homes have become an inevitable direction for the development of homes and residences in future. The intelligent home is in the national key development project engineering, and the international development is fierce. However, the current domestic smart home system still faces the following development bottlenecks: most of the existing appliances do not have the function of automatically and flexibly controlling the home environment, and even if the appliances are controlled by simple mechanical type, the appliances lack autonomy and intelligence. According to the rule that the heat of a human body is dissipated during sleeping, the actually required temperature is different, the body temperature of the human body is slightly higher before falling asleep, the body temperature of the human body is slightly lower after falling asleep and before getting up, the temperature cannot be adjusted intelligently, the temperature cannot be adjusted according to different people, and cold, headache or awakening by heat at night after getting up are likely to be caused.
In addition, the devices of the smart home are often dispersed in different spaces of a room, wiring and construction are needed, and although some devices can realize wireless remote control through wireless transmission and sensing technologies, the devices are not compatible, and coordination work cannot be realized between the devices. At present, the requirements of people on digitization and intellectualization cannot be met, and the satisfaction and the trust of user experience are reduced.
Disclosure of Invention
The invention aims to provide an intelligent temperature control device and a control method, and solves the problems that the intelligent home system does not consider the requirements of different sleep states of a user on home environment, and coordination work cannot be realized among equipment, so that the intelligent degree and the satisfaction degree and the trust degree of user experience are low.
The utility model provides an intelligent temperature control device, includes intelligent terminal, home gateway and intelligent home equipment, intelligent terminal passes through home gateway signal connection intelligent home equipment, intelligent terminal includes sleep cognitive module and control module:
the intelligent household equipment is used for acquiring household environment data and adjusting the household environment according to the control instruction generated by the control module;
the sleep cognition module is used for determining the sleep state of the user;
the control module is used for performing fusion analysis on the acquired sleep state of the user and the intelligent home environment data, generating a control instruction according to an analysis result, and starting corresponding intelligent home equipment to adjust the home environment according to the control instruction.
In one embodiment, the sleep recognition module comprises:
the visual acquisition module is used for carrying out video acquisition on the facial expression of the user and recording the surrounding environment of the intelligent terminal;
and the sleep information processing module is used for preprocessing the static image of the video acquired by the visual acquisition module and determining the current sleep state of the user.
In one embodiment, the intelligent terminal further includes:
the communication module is used for being responsible for data interaction between an upper computer and a lower computer of the intelligent terminal;
and the display module is used for displaying the home environment data and the state of the intelligent home equipment.
In one embodiment, the intelligent household equipment comprises an environmental data acquisition module and terminal equipment;
environmental data collection module for gather indoor each item intelligence house environmental data, environmental data collection module includes: the system comprises a sensor module and a video detector, wherein the video detector is used for detecting the sleep condition of an indoor user in real time and determining the working mode of the data acquisition module according to the detected sleep condition of the indoor user;
the working mode of the terminal equipment is determined by a threshold segmentation method according to the difference value between the environment expected value and the current environment actual value.
In one embodiment, the home gateway includes: the device comprises a WiFi module, a zigbee module and a remote control module.
A control method of an intelligent temperature control device comprises the intelligent temperature control device and further comprises the following steps:
step A, acquiring a sleep state of a user and intelligent home environment data;
step B, performing fusion analysis on the acquired sleep state of the user and the intelligent home environment data;
and C, generating a control instruction according to the analysis result, and starting corresponding intelligent household equipment to adjust the household environment according to the control instruction.
In one embodiment, the step a includes:
step A1, detecting the sleep condition of the indoor user in real time;
step A2, carrying out video acquisition on the detected facial expression of the user, and recording the surrounding environment in the process of moving;
step A3, preprocessing a static image of the collected video, matching and identifying the preprocessed static image with facial sleep features prestored in a local database by using an expression sleep feature extraction algorithm based on the static image, and determining the current sleep state of the user;
and A4, collecting indoor various intelligent home environment data.
In one embodiment, the step B includes:
step B1, analyzing and adjusting the home environment according to the collected home environment data to keep indexes of the home environment at reference values, and outputting the home environment data and the state of the intelligent home equipment to a display screen for display;
and step B2, when the sleep state of the user is not obtained, analyzing and adjusting the intelligent home environment according to the collected various intelligent home environment data, keeping various indexes of the home environment at reference values, and outputting various home environment data and the state of the intelligent home equipment to a display screen for display.
In one embodiment, the step B further includes:
step B3, when the sleep state of the user is obtained, if the current sleep state of the user is not matched with the home environment data, generating an environment actual value corresponding to the current environment data according to a data fusion algorithm based on prior knowledge;
and step B4, performing fusion analysis and comparison on the environment value corresponding to the current sleep state of the user and the reference data of the intelligent household environment to obtain an expected value of the environment.
In one embodiment, the step C further includes:
step C1, according to the difference value between the expected value and the actual value of the environment, performing intelligent home environment data deviation analysis by a threshold segmentation method, and determining the working mode of the corresponding intelligent home equipment;
step C2, generating a corresponding control instruction according to the determined working mode of the corresponding intelligent household equipment, and starting the corresponding intelligent household equipment to adjust the household environment according to the control instruction;
step C3, when the difference between the expected value and the current environment actual value is gradually reduced, the working mode of the corresponding intelligent household equipment is determined again through a threshold segmentation method;
and step C4, generating a new control instruction to adjust the home environment data according to the newly determined working mode of the corresponding intelligent home equipment until the current sleep state of the user is matched with the intelligent home environment data, and outputting the home environment data and the state of the intelligent home equipment to a display screen for display.
An electronic device, comprising: a memory and one or more processors;
wherein the memory is communicatively coupled to the one or more processors and stores instructions executable by the one or more processors, and when the instructions are executed by the one or more processors, the electronic device is configured to implement the method of any of the above embodiments.
A computer-readable storage medium having stored thereon computer-executable instructions operable, when executed by a computing device, to implement the method of any of the above embodiments.
A computer program product comprising a computer program stored on a computer readable storage medium, the computer program comprising program instructions which, when executed by a computer, are operable to carry out the method of any of the above embodiments.
The technical scheme has the following advantages or beneficial effects:
the intelligent temperature control device and the control method solve the problems that the intelligent home control system in the prior art does not consider the requirements of different sleep states of a user on home environment, coordination work cannot be realized between equipment, and the intelligent degree and the degree of trust of user experience are low, the sleep state of the user and the intelligent home environment data are obtained, the obtained sleep state of the user and the intelligent home environment data are subjected to fusion analysis, a control instruction is generated according to an analysis result, corresponding intelligent home equipment is started according to the control instruction to adjust the intelligent home environment, then the sleep state of the user and the intelligent home environment data are obtained, and the data feedback is obtained, and the process is repeated. Therefore, the invention can realize cooperative control on the intelligent home environment according to the sleep state of the user and the intelligent home environment data.
Drawings
Fig. 1 is a schematic structural diagram of an intelligent temperature control device according to the present invention.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in detail below.
With reference to fig. 1, an intelligent temperature control device includes an intelligent terminal 1, a home gateway 2 and an intelligent home device 3, the intelligent terminal 1 is connected to the intelligent home device 3 through the home gateway 2, the intelligent terminal 1 includes a sleep recognition module 11 and a control module 12:
the intelligent home equipment 3 is used for acquiring home environment data and adjusting the home environment according to the control instruction generated by the control module 12;
the sleep cognition module 11 is configured to determine a sleep state of a user;
the control module 12 is configured to perform fusion analysis on the acquired sleep state of the user and the acquired data of the smart home environment, generate a control instruction according to an analysis result, and start the corresponding smart home device 3 according to the control instruction to adjust the home environment.
In the embodiment of the invention, the intelligent terminal can acquire the intelligent home environment data acquired by the environment data acquisition module through the home gateway, and more importantly, the intelligent terminal can perform fusion analysis on the acquired intelligent home environment data according to the sleep state of the user, so that the intelligent home environment can be timely fed back and autonomously controlled, and the intelligent terminal is the core of intelligent home environment cooperative control.
In the embodiment of the invention, the sleep state and the intelligent home environment data of the user are acquired, the acquired sleep state and the intelligent home environment data of the user are subjected to fusion analysis, the control instruction is generated according to the analysis result, the corresponding intelligent home equipment is started according to the control instruction to adjust the intelligent home environment, then the sleep state and the intelligent home environment data of the user are acquired, the feedback of the data is obtained, and the process is repeated in a circulating manner. Therefore, the invention can realize cooperative control on the home environment according to the sleep state of the user and the home environment data. According to the embodiment of the invention, the intelligent terminal is communicated with the intelligent household equipment through the home gateway, and the household environment is autonomously controlled according to the acquired sleep state of the user and the household environment data.
Further, in a preferred embodiment of the intelligent temperature control device of the present invention, the sleep recognition module 11 includes:
the visual acquisition module 111 is used for carrying out video acquisition on the facial expression of the user and recording the surrounding environment of the intelligent terminal 1;
a sleep information processing module 112, configured to pre-process the still image of the video acquired by the visual acquisition module 111, and determine a current sleep state of the user.
Further, in a preferred embodiment of the intelligent temperature control device of the present invention, the intelligent terminal 1 further includes:
the communication module 13 is used for data interaction between the upper computer and the lower computer of the intelligent terminal 1;
and the display module 14 is used for displaying the home environment data and the state of the intelligent home device 3.
Further, in a preferred embodiment of the intelligent temperature control device of the present invention, the intelligent home device 3 includes an environmental data acquisition module 31 and a terminal device 32;
environmental data collection module 31 for gather indoor each item intelligence house environmental data, environmental data collection module 31 includes: the sensor module 311 and the video detector 312, the video detector 312 is configured to detect a sleep condition of an indoor user in real time, and determine a working mode of the data acquisition module 31 according to the detected sleep condition of the indoor user;
the operation mode of the terminal device 1 is determined by a threshold segmentation method according to the difference between the expected value of the environment and the actual value of the current environment. The working mode of the intelligent home equipment is determined by a threshold segmentation method according to the difference value between the environment expected value and the current environment actual value, and the intelligent home equipment comprises: air conditioners, air purifiers, humidifiers, and/or motorized shades.
Further, in a preferred embodiment of the intelligent temperature control device of the present invention, the home gateway 2 includes: the device comprises a WiFi module, a zigbee module and a remote control module. The control instruction generated by the control module 12 is sent to the remote control module through the wireless WIFI, the remote control module sends the control instruction to the intelligent household equipment 3 through an infrared emission mode, and the household environmental data collected by the environmental data collection module 31 is sent to the control module 12 through the zigbee mode, the home gateway and the wireless WIFI mode in sequence.
A control method of an intelligent temperature control device comprises the intelligent temperature control device and further comprises the following steps:
step A, acquiring a sleep state of a user and intelligent home environment data;
step B, performing fusion analysis on the acquired sleep state of the user and the intelligent home environment data;
and C, generating a control instruction according to the analysis result, and starting corresponding intelligent household equipment to adjust the household environment according to the control instruction.
Further, in a preferred embodiment of the control method of an intelligent temperature control device according to the present invention, the step a includes:
step A1, detecting the sleep condition of the indoor user in real time;
step A2, carrying out video acquisition on the detected facial expression of the user, and recording the surrounding environment in the process of moving;
step A3, preprocessing a static image of the collected video, matching and identifying the preprocessed static image with facial sleep features prestored in a local database by using an expression sleep feature extraction algorithm based on the static image, and determining the current sleep state of the user;
and A4, collecting indoor various intelligent home environment data.
Further, in a preferred embodiment of the control method of an intelligent temperature control device according to the present invention, the step B includes:
step B1, analyzing and adjusting the home environment according to the collected home environment data to keep indexes of the home environment at reference values, and outputting the home environment data and the state of the intelligent home equipment to a display screen for display;
and step B2, when the sleep state of the user is not obtained, analyzing and adjusting the intelligent home environment according to the collected various intelligent home environment data, keeping various indexes of the home environment at reference values, and outputting various home environment data and the state of the intelligent home equipment to a display screen for display.
Further, in a preferred embodiment of the control method of an intelligent temperature control device according to the present invention, the step B further includes:
step B3, when the sleep state of the user is obtained, if the current sleep state of the user is not matched with the home environment data, generating an environment actual value corresponding to the current environment data according to a data fusion algorithm based on prior knowledge;
and step B4, performing fusion analysis and comparison on the environment value corresponding to the current sleep state of the user and the reference data of the intelligent household environment to obtain an expected value of the environment.
Further, in a preferred embodiment of the control method of an intelligent temperature control device according to the present invention, the step C further includes:
step C1, according to the difference value between the expected value and the actual value of the environment, performing intelligent home environment data deviation analysis by a threshold segmentation method, and determining the working mode of the corresponding intelligent home equipment;
step C2, generating a corresponding control instruction according to the determined working mode of the corresponding intelligent household equipment, and starting the corresponding intelligent household equipment to adjust the household environment according to the control instruction;
step C3, when the difference between the expected value and the current environment actual value is gradually reduced, the working mode of the corresponding intelligent household equipment is determined again through a threshold segmentation method;
and step C4, generating a new control instruction to adjust the home environment data according to the newly determined working mode of the corresponding intelligent home equipment until the current sleep state of the user is matched with the intelligent home environment data, and outputting the home environment data and the state of the intelligent home equipment to a display screen for display.
a. According to the scheme, the intelligent equipment in the environment where the user is located is combined, the user automatically controls the intelligent equipment after setting in the APP through the Internet of things cloud platform issuing state, and intelligent sleep is set on the equipment control page of the mobile phone APP
b. Determining sleep time interval and fan gear, providing initial default sleep time interval and recommended gear of user, and user can select setting in plug-in unit
c. Preserving settings for intelligent sleep
d. Data issuing through Internet of things cloud platform to execute intelligent sleep function
And splitting the time cycle of each sleep stage according to the sleep period selected by the user. There are usually 4 sleep cycles per night, and the sleep stages are: sleep onset period, light sleep period, deep sleep period, and rapid eye movement period.
And the Internet of things cloud platform automatically calculates the sleep duration of each sleep period according to the sleep period selected by the user. And forming a sleep temperature curve according to the body temperature change of the human body in each sleep period, recommending a proper wind speed gear, outputting the optimal recommended gear to the fan, and acquiring the current sleep period and automatically adjusting the gear of the fan.
Taking the sleeping time of 8 hours and the total number of gears of four gears as an example, the recommended gear is the second gear. When the human body is in sleep, the temperature of the human body is high, and the gear of the fan is adjusted to be higher than the recommended gear 1; after 1 hour, the human body enters a light sleep state, and the gear of the fan is adjusted to a recommended gear; after 3 hours, the sleeping temperature of the human body is high, and the gear of the fan is adjusted to the recommended gear; when getting up is close to about 7 hours, the temperature of a human body is low, and the gear of the fan is adjusted to be 1 gear lower than the recommended gear.
An electronic device, comprising: a memory and one or more processors;
wherein the memory is communicatively coupled to the one or more processors and has stored therein instructions executable by the one or more processors, the electronic device operable to implement the method as any one of the above when the instructions are executed by the one or more processors.
In particular, the processor and the memory may be connected by a bus or other means, such as by a bus connection. The processor may be a Central Processing Unit (CPU). The Processor may also be other general purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components, or a combination thereof.
The memory, which is a non-transitory computer readable storage medium, may be used to store non-transitory software programs, non-transitory computer executable programs, and modules. The processor executes various functional applications and data processing of the processor by executing non-transitory software programs/instructions and functional modules stored in the memory.
The memory may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created by the processor, and the like. Further, the memory may include high speed random access memory, and may also include non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, the memory optionally includes memory located remotely from the processor, and such remote memory may be coupled to the processor via a network, such as through a communications interface. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
A computer-readable storage medium having stored thereon computer-executable instructions operable, when executed by a computing device, to implement a method as in any above.
The foregoing computer-readable storage media include physical volatile and nonvolatile, removable and non-removable media implemented in any manner or technology for storage of information such as computer-readable instructions, data structures, program modules or other data. The computer-readable storage medium specifically includes, but is not limited to, a USB flash drive, a removable hard drive, a Read-Only Memory (ROM), a Random Access Memory (RAM), an erasable programmable Read-Only Memory (EPROM), an electrically erasable programmable Read-Only Memory (EEPROM), flash Memory or other solid state Memory technology, a CD-ROM, a Digital Versatile Disk (DVD), an HD-DVD, a Blue-Ray or other optical storage, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store the desired information and which can be accessed by a computer.
While the subject matter described herein is provided in the general context of execution in conjunction with the execution of an operating system and application programs on a computer system, those skilled in the art will recognize that other implementations may also be performed in combination with other types of program modules. Generally, program modules include routines, programs, components, data structures, and other types of structures that perform particular tasks or implement particular abstract data types. Those skilled in the art will appreciate that the subject matter described herein may be practiced with other computer system configurations, including hand-held devices, multiprocessor systems, microprocessor-based or programmable consumer electronics, minicomputers, mainframe computers, and the like, as well as distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote memory storage devices.
Those of ordinary skill in the art will appreciate that the various illustrative elements and method steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to perform all or part of the steps of the method according to the embodiments of the present application.
In summary, the intelligent temperature control device and the control method of the invention solve the problems that the intelligent home control system in the prior art does not consider the needs of different sleep states of the user on the home environment, and coordination work cannot be realized between equipment, so that the intelligent degree, the satisfaction degree of user experience and the confidence degree are low, and the intelligent home environment is adjusted by acquiring the sleep state of the user and the intelligent home environment data, performing fusion analysis on the acquired sleep state of the user and the intelligent home environment data, generating a control instruction according to the analysis result, starting the corresponding intelligent home equipment according to the control instruction, and then acquiring the sleep state of the user and the intelligent home environment data, thereby obtaining the feedback of the data, and the steps are repeated. Therefore, the invention can realize cooperative control on the intelligent home environment according to the sleep state of the user and the intelligent home environment data.
While the invention has been described with reference to a preferred embodiment, it will be understood by those skilled in the art that various changes in form and detail may be made therein without departing from the spirit and scope of the invention.
In the description of the present invention, it is to be understood that the terms "upper", "lower", "front", "rear", and the like, which indicate orientations or positional relationships, are based on the orientations or positional relationships shown in the drawings, are only for convenience in describing the present invention and simplifying the description, and do not indicate or imply that the referred devices or elements must have a specific orientation, be constructed in a specific orientation, and be operated, and thus, should not be construed as limiting the present invention.
Claims (10)
1. The utility model provides an intelligent temperature control device, includes intelligent terminal, home gateway and intelligent home equipment, its characterized in that, intelligent terminal passes through home gateway signal connection intelligent home equipment, intelligent terminal includes sleep cognitive module and control module:
the intelligent household equipment is used for acquiring household environment data and adjusting the household environment according to the control instruction generated by the control module;
the sleep cognition module is used for determining the sleep state of the user;
the control module is used for performing fusion analysis on the acquired sleep state of the user and the intelligent home environment data, generating a control instruction according to an analysis result, and starting corresponding intelligent home equipment to adjust the home environment according to the control instruction.
2. The intelligent temperature control device of claim 1, wherein the sleep awareness module comprises:
the visual acquisition module is used for carrying out video acquisition on the facial expression of the user and recording the surrounding environment of the intelligent terminal;
and the sleep information processing module is used for preprocessing the static image of the video acquired by the visual acquisition module and determining the current sleep state of the user.
3. The intelligent temperature control device of claim 1, wherein the intelligent terminal further comprises:
the communication module is used for being responsible for data interaction between an upper computer and a lower computer of the intelligent terminal;
and the display module is used for displaying the home environment data and the state of the intelligent home equipment.
4. The intelligent temperature control device according to claim 1, wherein the intelligent household equipment comprises an environmental data acquisition module and terminal equipment;
environmental data collection module for gather indoor each item intelligence house environmental data, environmental data collection module includes: the system comprises a sensor module and a video detector, wherein the video detector is used for detecting the sleep condition of an indoor user in real time and determining the working mode of the data acquisition module according to the detected sleep condition of the indoor user;
the working mode of the terminal equipment is determined by a threshold segmentation method according to the difference value between the environment expected value and the current environment actual value.
5. The intelligent temperature control device of claim 1, wherein the home gateway comprises: the device comprises a WiFi module, a zigbee module and a remote control module.
6. A control method of an intelligent temperature control device comprising the intelligent temperature control device according to claims 1-5, characterized by further comprising the steps of:
step A, acquiring a sleep state of a user and intelligent home environment data;
step B, performing fusion analysis on the acquired sleep state of the user and the intelligent home environment data;
and C, generating a control instruction according to the analysis result, and starting corresponding intelligent household equipment to adjust the household environment according to the control instruction.
7. The control method of an intelligent temperature control device according to claim 6, wherein the step A comprises:
step A1, detecting the sleep condition of the indoor user in real time;
step A2, carrying out video acquisition on the detected facial expression of the user, and recording the surrounding environment in the process of moving;
step A3, preprocessing a static image of the collected video, matching and identifying the preprocessed static image with facial sleep features prestored in a local database by using an expression sleep feature extraction algorithm based on the static image, and determining the current sleep state of the user;
and A4, collecting indoor various intelligent home environment data.
8. The control method of an intelligent temperature control device according to claim 6, wherein the step B comprises:
step B1, analyzing and adjusting the home environment according to the collected home environment data to keep indexes of the home environment at reference values, and outputting the home environment data and the state of the intelligent home equipment to a display screen for display;
and step B2, when the sleep state of the user is not obtained, analyzing and adjusting the intelligent home environment according to the collected various intelligent home environment data, keeping various indexes of the home environment at reference values, and outputting various home environment data and the state of the intelligent home equipment to a display screen for display.
9. The method for controlling an intelligent temperature control device according to claim 6, wherein the step B further comprises:
step B3, when the sleep state of the user is obtained, if the current sleep state of the user is not matched with the home environment data, generating an environment actual value corresponding to the current environment data according to a data fusion algorithm based on prior knowledge;
and step B4, performing fusion analysis and comparison on the environment value corresponding to the current sleep state of the user and the reference data of the intelligent household environment to obtain an expected value of the environment.
10. The method of claim 6, wherein the step C further comprises:
step C1, according to the difference value between the expected value and the actual value of the environment, performing intelligent home environment data deviation analysis by a threshold segmentation method, and determining the working mode of the corresponding intelligent home equipment;
step C2, generating a corresponding control instruction according to the determined working mode of the corresponding intelligent household equipment, and starting the corresponding intelligent household equipment to adjust the household environment according to the control instruction;
step C3, when the difference between the expected value and the current environment actual value is gradually reduced, the working mode of the corresponding intelligent household equipment is determined again through a threshold segmentation method;
and step C4, generating a new control instruction to adjust the home environment data according to the newly determined working mode of the corresponding intelligent home equipment until the current sleep state of the user is matched with the intelligent home environment data, and outputting the home environment data and the state of the intelligent home equipment to a display screen for display.
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| CN116300491A (en) * | 2023-02-01 | 2023-06-23 | 深圳市盛况科技有限公司 | Control method, device, equipment and medium based on intelligent wearable equipment |
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| CN112147911A (en) * | 2020-09-16 | 2020-12-29 | 珠海格力电器股份有限公司 | Equipment control method and device |
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| CN111538251A (en) * | 2020-05-22 | 2020-08-14 | 江洪华 | Method and system for optimizing environment |
| CN112147911A (en) * | 2020-09-16 | 2020-12-29 | 珠海格力电器股份有限公司 | Equipment control method and device |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116300491A (en) * | 2023-02-01 | 2023-06-23 | 深圳市盛况科技有限公司 | Control method, device, equipment and medium based on intelligent wearable equipment |
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