CN113587206A - Method, device, equipment and medium for adjusting heating temperature in sleeping process - Google Patents
Method, device, equipment and medium for adjusting heating temperature in sleeping process Download PDFInfo
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- CN113587206A CN113587206A CN202110738435.6A CN202110738435A CN113587206A CN 113587206 A CN113587206 A CN 113587206A CN 202110738435 A CN202110738435 A CN 202110738435A CN 113587206 A CN113587206 A CN 113587206A
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24D—DOMESTIC- OR SPACE-HEATING SYSTEMS, e.g. CENTRAL HEATING SYSTEMS; DOMESTIC HOT-WATER SUPPLY SYSTEMS; ELEMENTS OR COMPONENTS THEREFOR
- F24D19/00—Details
- F24D19/10—Arrangement or mounting of control or safety devices
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24D—DOMESTIC- OR SPACE-HEATING SYSTEMS, e.g. CENTRAL HEATING SYSTEMS; DOMESTIC HOT-WATER SUPPLY SYSTEMS; ELEMENTS OR COMPONENTS THEREFOR
- F24D2220/00—Components of central heating installations excluding heat sources
- F24D2220/04—Sensors
- F24D2220/042—Temperature sensors
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Abstract
The embodiment of the invention relates to a method, a device, equipment and a medium for adjusting heating temperature in a sleeping process, in particular to the technical field of intelligent household appliances/intelligent household appliances, wherein the method comprises the following steps: determining an optimal indoor temperature curve of a user during sleeping; acquiring the corresponding relation between the indoor temperature and the heating temperature of the user family according to the historical heating data of the user family; periodically determining a heating temperature adjusting value of the heating equipment according to the optimal indoor temperature curve and the corresponding relation between the indoor temperature and the heating temperature within a preset sleeping time period of a user; and the temperature is adjusted according to the heating temperature adjusting value, so that the sleep quality of a user can be improved.
Description
Technical Field
The embodiment of the invention relates to the technical field of intelligent heating, in particular to a method and a device for adjusting heating temperature in a sleeping process, electronic equipment and a storage medium.
Background
Sleep is an important component of human life, accounting for one third of human life's activity, while temperature is a major environmental parameter affecting sleep.
Research shows that the physiological activity of a human body has a trend of decreasing, decreasing and gradually increasing in a period of sleeping from sleeping to waking, but the current heating equipment generally keeps the same set temperature and cannot meet the comfortable requirement of a user during sleeping.
Disclosure of Invention
In view of this, embodiments of the present invention provide a method, an apparatus, an electronic device, and a storage medium for adjusting a heating temperature during a sleep process, so as to solve the technical problem that a heating device in the prior art is not intelligent enough, and improve sleep quality of a user.
Additional features and advantages of embodiments of the invention will be set forth in the detailed description which follows, or in part will be obvious from the description, or may be learned by practice of embodiments of the invention.
In a first aspect of the disclosure, an embodiment of the present invention provides a method for adjusting a heating temperature during sleep, which is performed by a control device of a heating device, and the method includes:
determining an optimal indoor temperature curve of a user during sleeping;
acquiring the corresponding relation between the indoor temperature and the heating temperature of the user family according to the historical heating data of the user family;
periodically determining a heating temperature adjusting value of the heating equipment according to the optimal indoor temperature curve and the corresponding relation between the indoor temperature and the heating temperature within a preset sleeping time period of a user;
and adjusting the temperature according to the heating temperature adjusting value.
In one embodiment, the determining the optimal indoor temperature profile of the user during sleep includes: and determining the optimal indoor temperature curve of the user after the user falls asleep for different time according to the thermal comfort index PMV equation of the human body in the sleep state of the user.
In an embodiment, the determining an optimal indoor temperature curve of the user after falling asleep for different time according to a PMV equation of a thermal comfort index of the user during sleep in a sleep state includes: and determining the optimal indoor temperature curve of the user after falling asleep for different time according to the PMV equation of the thermal comfort index of the human body in the sleeping state of the user, the metabolic rate index of the user and the sleeping environment information.
In one embodiment, the sleep environment information includes at least one of an ambient temperature, a relative humidity, a ratio of a worn body surface area to an bare body surface area of the user, and a thermal resistance of the garment.
In an embodiment, the obtaining the corresponding relationship between the indoor temperature and the heating temperature of the user's home according to the historical heating data of the user's home includes: the method comprises the steps of obtaining historical heating data of a user family within a preset time from the current time, screening heating data of heating equipment of the user family in a heating state and in a flame state from the historical heating data, and determining a linear relation between indoor temperature and heating temperature of the user family according to the screened heating data.
In an embodiment, before determining the heating temperature adjustment value of the heating device, the method further includes: acquiring sleep start time and sleep end time set by a user through an APP, and determining the preset sleep period of the user according to the sleep start time and the sleep end time.
In an embodiment, before determining the heating temperature adjustment value of the heating device, the method further includes: the method comprises the steps of obtaining sleep habit information set by a user through an APP, obtaining current environment temperature through a temperature sensor, and obtaining current relative humidity through a humidity sensor.
In a second aspect of the present disclosure, an embodiment of the present invention further provides a device for adjusting a heating temperature during a sleep process, configured in a control device of a heating device, where the device includes:
the temperature curve determining unit is used for determining an optimal indoor temperature curve when the user sleeps;
the temperature relation acquisition unit is used for acquiring the corresponding relation between the indoor temperature and the heating temperature of the user family according to the historical heating data of the user family;
the adjusting value determining unit is used for periodically determining a heating temperature adjusting value of the heating equipment according to the optimal indoor temperature curve and the corresponding relation between the indoor temperature and the heating temperature in a preset sleeping period of a user;
and the temperature adjusting unit is used for adjusting the temperature according to the heating temperature adjusting value.
In one embodiment, the temperature profile determining unit is configured to: and determining the optimal indoor temperature curve of the user after the user falls asleep for different time according to the thermal comfort index PMV equation of the human body in the sleep state of the user.
In one embodiment, the temperature profile determining unit is configured to: and determining the optimal indoor temperature curve of the user after falling asleep for different time according to the PMV equation of the thermal comfort index of the human body in the sleeping state of the user, the metabolic rate index of the user and the sleeping environment information.
In one embodiment, the sleep environment information includes at least one of an ambient temperature, a relative humidity, a ratio of a worn body surface area to an bare body surface area of the user, and a thermal resistance of the garment.
In one embodiment, the temperature relationship obtaining unit is configured to: the method comprises the steps of obtaining historical heating data of a user family within a preset time from the current time, screening heating data of heating equipment of the user family in a heating state and in a flame state from the historical heating data, and determining a linear relation between indoor temperature and heating temperature of the user family according to the screened heating data.
In an embodiment, the adjustment value determining unit is further configured to, before determining the heating temperature adjustment value of the heating device, obtain a sleep start time and a sleep end time set by a user through an APP, and determine the predetermined sleep period of the user according to the sleep start time and the sleep end time.
In an embodiment, the adjustment value determining unit is further configured to, before determining the heating temperature adjustment value of the heating device, obtain sleep habit information set by a user through an APP, obtain a current ambient temperature through a temperature sensor, and obtain a current relative humidity through a humidity sensor.
In a third aspect of the disclosure, an electronic device is provided. The electronic device includes: a processor; and a memory for storing executable instructions that, when executed by the processor, cause the electronic device to perform the method of the first aspect.
In a fourth aspect of the disclosure, a computer-readable storage medium is provided, on which a computer program is stored, which computer program, when being executed by a processor, carries out the method in the first aspect.
The technical scheme provided by the embodiment of the invention has the beneficial technical effects that:
the embodiment of the invention determines the optimal indoor temperature curve of the user during sleeping through the control device of the heating equipment; acquiring the corresponding relation between the indoor temperature and the heating temperature of the user family according to the historical heating data of the user family; periodically determining a heating temperature adjusting value of the heating equipment according to the optimal indoor temperature curve and the corresponding relation between the indoor temperature and the heating temperature within a preset sleeping time period of a user; and adjusting the temperature according to the heating temperature adjusting value so as to improve the sleep quality of the user.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments of the present invention will be briefly described below, and it is obvious that the drawings in the following description are only a part of the embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the contents of the embodiments of the present invention and the drawings without creative efforts.
Fig. 1 is a schematic flow chart illustrating a method for adjusting heating temperature during sleep according to an embodiment of the present invention;
fig. 2 is a schematic flowchart of a method for obtaining an optimal heating temperature adjustment value according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of a parameter calibration and server usage flow according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of an apparatus for adjusting a heating temperature during sleep according to an embodiment of the present invention;
FIG. 5 shows a schematic diagram of an electronic device suitable for use in implementing embodiments of the present invention.
Detailed Description
In order to make the technical problems solved, the technical solutions adopted and the technical effects achieved by the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be described in further detail below with reference to the accompanying drawings, and it is obvious that the described embodiments are only some embodiments, but not all embodiments, of the embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, belong to the scope of protection of the embodiments of the present invention.
It should be noted that the terms "system" and "network" are often used interchangeably herein in embodiments of the present invention. Reference to "and/or" in embodiments of the invention is intended to include any and all combinations of one or more of the associated listed items. The terms "first", "second", and the like in the description and claims of the present disclosure and in the drawings are used for distinguishing between different objects and not for limiting a particular order.
It should be further noted that, in the embodiments of the present invention, each of the following embodiments may be executed alone, or may be executed in combination with each other, and the embodiments of the present invention are not limited in this respect.
The names of messages or information exchanged between devices in the embodiments of the present disclosure are for illustrative purposes only, and are not intended to limit the scope of the messages or information.
The technical solutions of the embodiments of the present invention are further described by the following detailed description with reference to the accompanying drawings.
Fig. 1 is a schematic flow chart illustrating a method for adjusting a heating temperature during sleep according to an embodiment of the present invention, where the embodiment is applicable to a situation where a user is at a most comfortable temperature during sleep by dynamically adjusting the heating temperature during sleep, and the method may be performed by a device configured in a control device of a heating device for adjusting the heating temperature during sleep, and may also be performed by a smart terminal (including but not limited to a smart phone), as shown in fig. 1, where the method for adjusting the heating temperature during sleep according to the embodiment includes:
in step S110, an optimal indoor temperature profile when the user is sleeping is determined.
For example, the optimal indoor temperature curve of the user after falling asleep for different time can be determined according to the human body sleep thermal comfort index PMV equation in the sleep state of the user.
Specifically, the optimal indoor temperature curve of the user after falling asleep for different time can be determined according to a human body sleep thermal comfort index PMV equation, a user metabolic rate index and sleep environment information under the sleep state of the user.
The sleep environment information includes, but is not limited to, ambient temperature, relative humidity, the ratio of the worn human body to the bare body surface area of the user, thermal resistance of the garment, and the like.
Typically, factors that affect the thermal comfort of the human body include environmental factors (e.g., air temperature, air flow rate, relative humidity, average radiant temperature, etc.) and human body factors (e.g., human body metabolic rate (activity), garment thermal resistance, the ratio of the body surface area of the wearer to the bare body surface area during sleep, etc.).
The information can be according to user input information or other linked intelligent device sensors (for example, the current activity state, sleep stage and other information of the user can be obtained through an intelligent watch and a mobile phone, the current bedding and clothing conditions of the user can be obtained through a linked intelligent wardrobe and an intelligent mattress, and the current season, the longitude and latitude of the user, the relative air humidity, the ambient temperature and other information can be obtained through a linked intelligent device).
In another example, the optimal comfort data of the user during sleeping can be obtained according to experiments.
Studies and experiments have shown that the metabolic rate varies in the user's whole sleep, and therefore the temperature that the user feels most comfortable also varies. As shown in table one below, the best comfort data during sleep were obtained experimentally as follows.
Watch 1
Generally, people feel most comfortable under the relative humidity of 45-55%, and if the user does not have a parameter value corresponding to the humidity of 50% as a standard, the temperature and humidity sensor can be adjusted according to the value.
In step S120, a corresponding relationship between the indoor temperature and the heating temperature of the user 'S home is obtained according to the historical heating data of the user' S home.
After the optimal indoor temperature curve of the user is obtained, the heating equipment needs to be controlled to adjust the heating temperature so as to enable the indoor temperature to meet the optimal indoor temperature curve as far as possible.
For example, historical heating data of a user family within a current preset time can be acquired, heating data of heating equipment of the user family in a heating state and in a flame state is screened out from the historical heating data, and a linear relation between indoor temperature and heating temperature of the user family is determined according to the screened heating data.
The electronic device implementing the embodiment may fit a linear regression model suitable for the home of the user, i.e., a relationship between the indoor temperature and the heating temperature, according to the historical heating data.
Firstly, the corresponding relation between the indoor temperature of the user's home and the heating temperature needs to be determined.
Data of equipment data starting true, heating function starting true, three-way valve state 1 and flame true are taken, for example, heating data meeting the conditions in a month can be taken, the change relation between the current temperature and the indoor temperature of a heating furnace of the equipment is analyzed, and the following formula is fitted:
Tis provided with＝a*tChamber+b，
Wherein T isIs provided withSetting temperature for a heating stove;
tchamberFor heating roomsAnd (3) temperature.
For the equipment with the indoor temperature sensor, the respectively fitted formula T can be directly takenIs provided with＝a*tChamber+b。
For equipment without an indoor temperature sensor, the average value T of the coefficients of the indoor temperature sensor is takenIs provided with＝a*tChamber+b。
For example, if a ═ 1.870725; when b is 12.05699, the heating set temperature when the indoor temperature is optimal is shown in the following table two:
watch two
The algorithm logic of this step is shown in fig. 2, and includes:
in step S201, the device data in the data reported by each user in the last month is taken, wherein the device data in the data meets the conditions of starting up true, heating function starting true, three-way valve state 1 and heating with flame true, and step S202 is executed.
In step S202, noise, duplicate, and null data are removed, all available reported data are retained, and step S203 is executed.
In step S203, the current heating temperature and the indoor temperature in the reported data are taken, and step S204 is executed.
In step S204, it is determined whether there is an indoor temperature sensor, if so, step S205 is executed, otherwise, step S209 is executed.
In step S205, the current heating temperature is input to the regression model as the X value and the indoor temperature is input as the Y value, and step S206 is executed.
In step S206, the optimal linear regression model suitable for the family of the user is obtained by continuously tuning the model: y ═ a × X + b, step S207 is performed.
In step S207, the values a- > a, B- > B of different users are stored in the model parameter library according to the area, the device MAC, the generation time, and whether there is an indoor temperature sensor identifier, and step S208 is executed.
In step S208, Y ═ a × X + B is substituted according to the a \ B parameter in the library, X takes the comfortable indoor temperature at different times of falling asleep, and Y takes the heating set temperature at different times of falling asleep, and the process is finished.
In step S209, the area where the current device is located is obtained, if the address is successfully obtained, step S210 is executed, otherwise, if the area is not successfully obtained, step S211 is executed.
In step S210, the values of a and b without the indoor temperature sensor in the model library are acquired according to the area, and the average values of a and b are obtained, respectively, and step S212 is executed.
In step S211, the values of a and b without the indoor temperature sensor in the model library are acquired according to the area, and the average values of a and b are obtained, respectively, and step S212 is executed.
In step S212, a fitting equation of the device without the room temperature sensor is derived: and Y ═ a × X + b, the a \ b value is written into the model parameter library, and step S208 is executed.
In step S130, a heating temperature adjustment value of the heating equipment is periodically determined according to the optimal indoor temperature curve and the corresponding relationship between the indoor temperature and the heating temperature within a predetermined sleep time period of the user.
The sleep period can be obtained according to historical data, or according to linked intelligent equipment (such as an intelligent mattress) or according to user setting information, for example, the sleep start time and the sleep end time set by a user through an APP are obtained, and the preset sleep period of the user is determined according to the sleep start time and the sleep end time. Furthermore, the sleep habit information set by the user through the APP can be acquired, the current environment temperature can be acquired through the temperature sensor, the current relative humidity can be acquired through the humidity sensor, and the like.
For example, during the user's sleep, the calculation is performed every half hour.
Further, calibration can be performed according to the user habit temperature, for example, determining the optimal heating set temperature: the scheme combines the habit of the user in the last 7 days and the weather in the same day, the optimal heating set temperature suitable for the same day is fitted, the optimal heating set temperature fitted at 48 points in 24 hours in the last day is recorded and is used as a reference basis for sleep heating temperature adjustment, and data are recorded every half hour.
If the user family has an indoor temperature sensor: t isSleeping bag＝0.6*TPseudo-to-be+0.4TJiaAnd an indoor temperature sensor is arranged, the comfort degree fitting heating set temperature is more accurate, and the weight is large.
If the user family does not have an indoor temperature sensor: t isSleeping bag＝0.4*TPseudo-to-be+0.6TJiaAnd an indoor temperature sensor is not arranged, the comfort level slightly deviates from the actual user, and the fitting is more accurate according to the optimal heating setting temperature.
The parameters are as follows:
Tpseudo-to-be: the optimal heating set temperature suitable for the room temperature during sleeping is fitted in the formula;
Tjia: setting the temperature for the optimal heating calculated according to the user habits and the weather of the previous day;
Tsleeping bag: and the temperature is set for heating during sleep which is finally required to be issued to the user.
In step S140, temperature adjustment is performed according to the heating temperature adjustment value.
For example, the finally defined sleep heating set temperature can be written into a library table, and the set temperature is issued according to the habit of the user when the server is developed.
If the sleep is just started, the heating set temperature is sent 30 minutes in advance when the sleep time is 0, the machine is started, the heating function state is started, and then the heating set temperature is sent for the next half hour every half hour.
The parameter calibration and server use flow is shown in fig. 3:
in step S301, 48 points of the data records in the optimal heating temperature setting table are taken
In step S302, the time of the sleep start time and the sleep end time set by the user on the APP is taken.
In step S303, the optimal heating setting temperature value falling within the range of (sleep start time, sleep end time) is taken, and if it is (20:10, 5:20), the point of (20:00,5:30) of the optimal heating temperature is taken.
In step S304, the values in the sleep heating setting fitting temperature configuration table are matched with the values in the optimal heating setting temperature as follows:
no indoor temperature sensor: t isSleeping bag＝0.4*TPseudo-to-be+0.6TJia
An indoor temperature sensor is arranged: t isSleeping bag＝0.6*TPseudo-to-be+0.4TJia
In step S305, the optimal heating temperature setting prediction table is scanned, and a heating setting temperature value is issued to the user half an hour in advance.
For example, the APP requires the user to set a sleep curve time range: default heating 20: 00-8: 00, the user can modify by himself, and simultaneously the indoor temperature and heating temperature curve of the previous day are shown in the next day, and the device without the sensor can not be shown.
The embodiment determines the optimal indoor temperature curve of a user during sleeping through the control device of the heating equipment; acquiring the corresponding relation between the indoor temperature and the heating temperature of the user family according to the historical heating data of the user family; periodically determining a heating temperature adjusting value of the heating equipment according to the optimal indoor temperature curve and the corresponding relation between the indoor temperature and the heating temperature within a preset sleeping time period of a user; and the temperature is adjusted according to the heating temperature adjusting value, so that the sleep quality of a user can be improved.
As an implementation of the methods shown in the above figures, the present application provides an embodiment of an apparatus for adjusting a heating temperature during a sleep process, and fig. 4 shows a schematic structural diagram of the apparatus for adjusting a heating temperature during a sleep process, where the embodiment of the apparatus corresponds to the embodiment of the methods shown in fig. 1 to 3, and the apparatus may be specifically applied to various electronic devices. As shown in fig. 4, the device for adjusting heating temperature during sleep according to this embodiment includes
The temperature profile determination unit 410 is configured to determine an optimal indoor temperature profile for the user while sleeping.
The temperature relation obtaining unit 420 is configured to obtain a corresponding relation between indoor temperature and heating temperature of the user's home according to historical heating data of the user's home.
The adjustment value determining unit 430 is configured to periodically determine a heating temperature adjustment value of the heating equipment according to the optimal indoor temperature curve and the corresponding relationship between the indoor temperature and the heating temperature within a predetermined sleep period of a user.
The temperature adjusting unit 440 is configured to perform temperature adjustment according to the heating temperature adjustment value.
According to one or more embodiments of the present disclosure, the temperature curve determining unit 410 is configured to determine an optimal indoor temperature curve of the user after falling asleep for different time according to a thermal comfort index PMV equation of the human body in the sleep state of the user.
According to one or more embodiments of the present disclosure, the temperature curve determining unit 410 is configured to determine an optimal indoor temperature curve of the user after falling asleep for different time according to a human sleep thermal comfort index PMV equation, a metabolic rate index of the user, and sleep environment information in a user sleep state.
According to one or more embodiments of the present disclosure, the sleep environment information includes at least one of an ambient temperature, a relative humidity, a ratio of a worn human body to a bare body surface area of the user, and a thermal resistance of the garment.
According to one or more embodiments of the present disclosure, the temperature relationship obtaining unit 420 is configured to obtain historical heating data of a user's home within a current predetermined time period, screen heating data of heating equipment of the user's home in a heating state and in a flame state from the historical heating data, and determine a linear relationship between an indoor temperature and a heating temperature of the user's home according to the screened heating data.
According to one or more embodiments of the present disclosure, the adjustment value determining unit 430 is configured to further obtain a sleep start time and a sleep end time set by a user through an APP before determining the heating temperature adjustment value of the heating device, and determine the predetermined sleep period of the user according to the sleep start time and the sleep end time.
According to one or more embodiments of the present disclosure, the adjustment value determining unit 430 is configured to further obtain sleep habit information set by a user through an APP, obtain a current ambient temperature through a temperature sensor, and obtain a current relative humidity through a humidity sensor before determining a heating temperature adjustment value of the heating device.
The device for adjusting the heating temperature in the sleeping process provided by the embodiment of the invention can execute the method for adjusting the heating temperature in the sleeping process provided by the embodiment of the method, and has corresponding functional modules and beneficial effects of the execution method.
Referring now to FIG. 5, a block diagram of an electronic device 500 suitable for use in implementing embodiments of the present invention is shown. The terminal device in the embodiment of the present invention is, for example, a mobile device, a computer, or a vehicle-mounted device built in a floating car, or any combination thereof. In some embodiments, the mobile device may include, for example, a cell phone, a smart home device, a wearable device, a smart mobile device, a virtual reality device, and the like, or any combination thereof. The electronic device shown in fig. 5 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present invention.
As shown in fig. 5, electronic device 500 may include a processing means (e.g., central processing unit, graphics processor, etc.) 501 that may perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM)502 or a program loaded from a storage means 508 into a Random Access Memory (RAM) 503. In the RAM 503, various programs and data necessary for the operation of the electronic apparatus 500 are also stored. The processing device 501, the ROM 502, and the RAM 503 are connected to each other through a bus 504. An input/output (I/O) interface 505 is also connected to bus 504.
Generally, the following devices may be connected to the I/O interface 505: input devices 506 including, for example, a touch screen, touch pad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; output devices 507 including, for example, a Liquid Crystal Display (LCD), speakers, vibrators, and the like; storage devices 508 including, for example, magnetic tape, hard disk, etc.; and a communication device 509. The communication means 509 may allow the electronic device 500 to communicate with other devices wirelessly or by wire to exchange data. While fig. 5 illustrates an electronic device 500 having various means, it is to be understood that not all illustrated means are required to be implemented or provided. More or fewer devices may alternatively be implemented or provided.
In particular, according to an embodiment of the present invention, the processes described above with reference to the flowcharts may be implemented as a computer software program. For example, embodiments of the invention include a computer program product comprising a computer program embodied on a computer-readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network via the communication means 509, or installed from the storage means 508, or installed from the ROM 502. The computer program performs the above-described functions defined in the method of the embodiment of the present invention when executed by the processing apparatus 501.
It should be noted that the computer readable medium mentioned above can be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In embodiments of the invention, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In yet another embodiment of the invention, a computer readable signal medium may comprise a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, optical cables, RF (radio frequency), etc., or any suitable combination of the foregoing.
The computer readable medium may be embodied in the electronic device; or may exist separately without being assembled into the electronic device.
The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to: determining an optimal indoor temperature curve of a user during sleeping; acquiring the corresponding relation between the indoor temperature and the heating temperature of the user family according to the historical heating data of the user family; periodically determining a heating temperature adjusting value of the heating equipment according to the optimal indoor temperature curve and the corresponding relation between the indoor temperature and the heating temperature within a preset sleeping time period of a user; and adjusting the temperature according to the heating temperature adjusting value.
Computer program code for carrying out operations for embodiments of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units described in the embodiments of the present invention may be implemented by software or hardware. Where the name of a unit does not in some cases constitute a limitation of the unit itself, for example, the first retrieving unit may also be described as a "unit for retrieving at least two internet protocol addresses".
The foregoing description is only a preferred embodiment of the invention and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the disclosure in the embodiments of the present invention is not limited to the specific combinations of the above-described features, but also encompasses other embodiments in which any combination of the above-described features or their equivalents is possible without departing from the spirit of the disclosure. For example, the above features and (but not limited to) the features with similar functions disclosed in the embodiments of the present invention are mutually replaced to form the technical solution.
Claims (10)
1. A method of regulating heating temperature during sleep, the method comprising:
determining an optimal indoor temperature curve of a user during sleeping;
acquiring the corresponding relation between the indoor temperature and the heating temperature of the user family according to the historical heating data of the user family;
periodically determining a heating temperature adjusting value of the heating equipment according to the optimal indoor temperature curve and the corresponding relation between the indoor temperature and the heating temperature within a preset sleeping time period of a user;
and adjusting the temperature according to the heating temperature adjusting value.
2. The method of claim 1, wherein determining the optimal indoor temperature profile for the user while sleeping comprises:
and determining the optimal indoor temperature curve of the user after the user falls asleep for different time according to the thermal comfort index PMV equation of the human body in the sleep state of the user.
3. The method of claim 2, wherein determining the optimal indoor temperature curve of the user after falling asleep for different time according to the PMV equation of the thermal comfort index of the user during sleep state comprises:
and determining the optimal indoor temperature curve of the user after falling asleep for different time according to the PMV equation of the thermal comfort index of the human body in the sleeping state of the user, the metabolic rate index of the user and the sleeping environment information.
4. The method of claim 3, wherein the sleep environment information comprises at least one of ambient temperature, relative humidity, a ratio of bare body to body surface area of a user wearing a garment, and thermal resistance of the garment.
5. The method according to claim 1, wherein the obtaining the corresponding relationship between the indoor temperature and the heating temperature of the user's home according to the historical heating data of the user's home comprises:
the method comprises the steps of obtaining historical heating data of a user family within a preset time from the current time, screening heating data of heating equipment of the user family in a heating state and in a flame state from the historical heating data, and determining a linear relation between indoor temperature and heating temperature of the user family according to the screened heating data.
6. The method of claim 1, further comprising, prior to determining a heating thermostat value for the heating plant:
acquiring sleep start time and sleep end time set by a user through an APP, and determining the preset sleep period of the user according to the sleep start time and the sleep end time.
7. The method of claim 4, further comprising, prior to determining a heating thermostat value for the heating plant:
the method comprises the steps of obtaining sleep habit information set by a user through an APP, obtaining current environment temperature through a temperature sensor, and obtaining current relative humidity through a humidity sensor.
8. An apparatus for regulating a heating temperature during sleep, the apparatus comprising:
the temperature curve determining unit is used for determining an optimal indoor temperature curve when the user sleeps;
the temperature relation acquisition unit is used for acquiring the corresponding relation between the indoor temperature and the heating temperature of the user family according to the historical heating data of the user family;
the adjusting value determining unit is used for periodically determining a heating temperature adjusting value of the heating equipment according to the optimal indoor temperature curve and the corresponding relation between the indoor temperature and the heating temperature in a preset sleeping period of a user;
and the temperature adjusting unit is used for adjusting the temperature according to the heating temperature adjusting value.
9. An electronic device, comprising:
one or more processors; and
a memory to store executable instructions that, when executed by the one or more processors, cause the electronic device to perform the method of any of claims 1-7.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the method according to any one of claims 1-7.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115076764A (en) * | 2022-05-19 | 2022-09-20 | 重庆海尔热水器有限公司 | Heating equipment control method and heating equipment |
| CN115854411A (en) * | 2022-12-23 | 2023-03-28 | 珠海格力电器股份有限公司 | Heating equipment control method and device, electronic equipment and electric heater |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR100997361B1 (en) * | 2010-08-18 | 2010-11-29 | 전주대학교 산학협력단 | Heating energy supply method for district heating system using outdoor temperature prediction |
| US20130297785A1 (en) * | 2012-05-04 | 2013-11-07 | Electronics And Telecommunications Research Institute | User status analyzing method and apparatus using activity history |
| CN105716145A (en) * | 2016-03-16 | 2016-06-29 | 上海上塔软件开发有限公司 | Electric heating cluster cooperative control method |
| CN108006809A (en) * | 2017-11-30 | 2018-05-08 | 中国华电集团科学技术研究总院有限公司 | A kind of distributed busbar protection cooling heating intelligent control air navigation aid |
| CN108413478A (en) * | 2018-02-11 | 2018-08-17 | 广东美的环境电器制造有限公司 | A kind of control method, device and computer readable storage medium |
| CN109579232A (en) * | 2018-11-26 | 2019-04-05 | 四川长虹空调有限公司 | Improve the control method and system of air-conditioning sleep pattern comfort |
| CN111197866A (en) * | 2018-11-20 | 2020-05-26 | 芜湖美的厨卫电器制造有限公司 | Wall-mounted furnace and control method and system thereof |
| DE102020004797A1 (en) * | 2020-08-07 | 2021-02-25 | Daimler Ag | Braking device and method of braking |
-
2021
- 2021-06-30 CN CN202110738435.6A patent/CN113587206B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR100997361B1 (en) * | 2010-08-18 | 2010-11-29 | 전주대학교 산학협력단 | Heating energy supply method for district heating system using outdoor temperature prediction |
| US20130297785A1 (en) * | 2012-05-04 | 2013-11-07 | Electronics And Telecommunications Research Institute | User status analyzing method and apparatus using activity history |
| CN105716145A (en) * | 2016-03-16 | 2016-06-29 | 上海上塔软件开发有限公司 | Electric heating cluster cooperative control method |
| CN108006809A (en) * | 2017-11-30 | 2018-05-08 | 中国华电集团科学技术研究总院有限公司 | A kind of distributed busbar protection cooling heating intelligent control air navigation aid |
| CN108413478A (en) * | 2018-02-11 | 2018-08-17 | 广东美的环境电器制造有限公司 | A kind of control method, device and computer readable storage medium |
| CN111197866A (en) * | 2018-11-20 | 2020-05-26 | 芜湖美的厨卫电器制造有限公司 | Wall-mounted furnace and control method and system thereof |
| CN109579232A (en) * | 2018-11-26 | 2019-04-05 | 四川长虹空调有限公司 | Improve the control method and system of air-conditioning sleep pattern comfort |
| DE102020004797A1 (en) * | 2020-08-07 | 2021-02-25 | Daimler Ag | Braking device and method of braking |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115076764A (en) * | 2022-05-19 | 2022-09-20 | 重庆海尔热水器有限公司 | Heating equipment control method and heating equipment |
| CN115854411A (en) * | 2022-12-23 | 2023-03-28 | 珠海格力电器股份有限公司 | Heating equipment control method and device, electronic equipment and electric heater |
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|---|---|
| CN113587206B (en) | 2023-10-20 |
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