CN113776196B - Bath temperature recommendation method and device and water heater - Google Patents
Bath temperature recommendation method and device and water heater Download PDFInfo
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- CN113776196B CN113776196B CN202110987373.2A CN202110987373A CN113776196B CN 113776196 B CN113776196 B CN 113776196B CN 202110987373 A CN202110987373 A CN 202110987373A CN 113776196 B CN113776196 B CN 113776196B
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24H—FLUID HEATERS, e.g. WATER OR AIR HEATERS, HAVING HEAT-GENERATING MEANS, e.g. HEAT PUMPS, IN GENERAL
- F24H9/00—Details
- F24H9/20—Arrangement or mounting of control or safety devices
- F24H9/2007—Arrangement or mounting of control or safety devices for water heaters
- F24H9/2035—Arrangement or mounting of control or safety devices for water heaters using fluid fuel
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
Abstract
The invention discloses a bath temperature recommendation method, a bath temperature recommendation device and a water heater, wherein the bath temperature recommendation method comprises the steps of obtaining a basic bath temperature; acquiring a relative stable information set of a user; respectively determining a recommendation coefficient of each category to which the relative stability information in the relative stability information set belongs; obtaining a bath recommended temperature by using the basic bath temperature and a recommendation coefficient of the category to which each piece of relative stability information belongs; therefore, the bath recommended temperature can be obtained according to the personalized information of the user, so that the bath recommended temperature can be different according to the personalized requirements of different users.
Description
Technical Field
The invention relates to the technical field of electrical equipment, in particular to a bathing temperature recommendation method and device and a water heater.
Background
With the improvement of the living standard of residents, people put higher requirements on the intellectualization and the comfort of household appliances, and the design needs to move towards the direction of enabling users to work once and for all, so as to reduce the use and operation cost of the users. This demand is even stronger for gas water heaters, which are often installed outdoors. But the water heater cannot provide different bathing temperatures according to different requirements of users.
Disclosure of Invention
In view of this, the embodiment of the invention provides a bath temperature recommendation method and device and a water heater, so as to solve the problem that the water heater cannot provide different bath temperatures according to different requirements of users.
According to a first aspect, an embodiment of the present invention provides a bath temperature recommendation method, including: acquiring a basic bathing temperature; acquiring a relative stable information set of a user; respectively determining a recommendation coefficient of each category to which the relative stability information in the relative stability information set belongs; and obtaining the bath recommended temperature by using the basic bath temperature and the recommendation coefficient of the category to which each piece of relative stability information belongs.
According to the bath temperature recommendation method provided by the embodiment of the invention, on the basis of the basic bath temperature, by obtaining the recommendation coefficient of the category to which each piece of relatively stable information belongs in the relatively stable information set, the bath recommended temperature can be obtained by using the basic bath temperature and the recommendation coefficient of the category to which each piece of relatively stable information belongs, that is, the bath recommended temperature is obtained according to the personalized information of the user, so that the bath recommended temperature can be different according to the personalized requirements of different users.
With reference to the first aspect, in a first implementation manner of the first aspect, the set of relatively stable information includes one or more of the following: name, gender, age, occupation, height, weight, geographic location.
With reference to the first implementation manner of the first aspect, in a second implementation manner of the first aspect, the obtaining a recommended bathing temperature by using the basic bathing temperature and the recommendation coefficient of the category to which each piece of relative stability information belongs includes: and accumulating and multiplying the basic bathing temperature and the recommendation coefficient of the category to which each piece of relative stability information belongs to obtain the bathing recommended temperature.
With reference to the first aspect, in a third embodiment of the first aspect, the bath temperature recommendation method further includes: acquiring a relative change information set of a user; respectively determining a recommendation coefficient of each category to which the relative variation information in the relative variation information set belongs; and obtaining the bath recommended temperature after correction by using the bath recommended temperature and the recommendation coefficient of the category to which each piece of relative variation information belongs.
With reference to the third implementation manner of the first aspect, in a fourth implementation manner of the first aspect, the obtaining a corrected bath recommended temperature by using the bath recommended temperature and the recommendation coefficient of the category to which each piece of relative variation information belongs includes: and accumulating and multiplying the bath recommended temperature and the recommendation coefficient of the category to which each piece of relative variation information belongs to obtain the corrected bath recommended temperature.
With reference to the third implementation manner of the first aspect, in a fifth implementation manner of the first aspect, the set of relative variation information includes one or more of the following relative variation information: clock movement and health information.
With reference to the third embodiment of the first aspect, in a sixth embodiment of the first aspect, the bath temperature recommending method further includes: acquiring disease information; and adjusting the bath recommended temperature or the corrected bath recommended temperature according to the disease information.
According to a second aspect, an embodiment of the present invention provides a bath temperature recommendation apparatus, including a first obtaining module, a second obtaining module, a processing module, and a recommendation module; the first acquisition module is used for acquiring the basic bathing temperature; the second acquisition module is used for acquiring a relatively stable information set of the user; the processing module is used for respectively determining the recommendation coefficient of each category to which the relative stability information in the relative stability information set belongs; and the recommending module is used for obtaining bathing recommended temperature by utilizing the basic bathing temperature and the recommending coefficient of the category to which each piece of relatively stable information belongs.
According to a third aspect, the embodiment of the present invention provides a water heater, which includes a memory and a processor, the memory and the processor are communicatively connected with each other, the memory stores computer instructions, and the processor executes the computer instructions to execute the bathing temperature recommendation method of the first aspect or any one of the implementation manners of the first aspect.
According to a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium storing computer instructions for causing a computer to execute the bath temperature recommendation method of the first aspect or any one of the implementation manners of the first aspect.
Drawings
The features and advantages of the present invention will be more clearly understood by reference to the accompanying drawings, which are illustrative and not to be construed as limiting the invention in any way, and in which:
FIG. 1 is a schematic flow chart of a bath temperature recommendation method in embodiment 1 of the present invention;
FIG. 2 is a schematic flow chart illustrating a specific example of a bath temperature recommendation method in embodiment 1 of the present invention;
fig. 3 is a schematic structural diagram of a bath temperature recommending device in embodiment 2 of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without inventive step based on the embodiments of the present invention, are within the scope of protection of the present invention.
Example 1
The embodiment 1 of the invention provides a bath temperature recommendation method, fig. 1 is a schematic flow chart of the bath temperature recommendation method in the embodiment 1 of the invention, and as shown in fig. 1, the bath temperature recommendation method in the embodiment 1 of the invention comprises the following steps:
s101: and obtaining the basic bathing temperature.
Specifically, the base bathing temperature is obtained based on the ambient temperature. Wherein the ambient temperature can be either outdoor ambient temperature or indoor ambient temperature.
S102: a relatively stable set of information for the user is obtained.
Specifically, the set of relative stability information includes one or more of the following relative stability information: name, gender, age, occupation, height, weight, geographic location. S103: and respectively determining a recommendation coefficient of each category to which the relative stability information in the relative stability information set belongs.
Specifically, the recommendation coefficient of the category to which each piece of relative stability information belongs may be obtained by learning the collected relative stability information sets of the plurality of users and the bath recommended temperature corresponding to each user.
S104: and obtaining the bath recommended temperature by using the basic bath temperature and the recommendation coefficient of the category to which each piece of relative stability information belongs.
Specifically, the following technical scheme may be adopted to obtain the recommended bathing temperature by using the basic bathing temperature and the recommendation coefficient of the category to which each piece of the relatively stable information belongs: and accumulating and multiplying the basic bathing temperature and the recommendation coefficient of the category to which each piece of relative stability information belongs to obtain the bathing recommended temperature.
For example, an age of 50 or more would be a factor of 1.1(1.1 being the assumed value), and would require multiplication by 1.1 using the base bath temperature. If the BMI value of the person is obtained to be fat according to the height and the weight of the person, the BMI value is multiplied by a coefficient 0.9 (assumed value), and the calculation is combined by analogy and continuously multiplication to obtain the bath recommended temperature.
According to the bath temperature recommendation method provided by the embodiment of the invention, on the basis of the basic bath temperature, by obtaining the recommendation coefficient of the category to which each piece of relatively stable information in the relatively stable information set belongs, the bath recommended temperature can be obtained by using the basic bath temperature and the recommendation coefficient of the category to which each piece of relatively stable information belongs, that is, the bath recommended temperature is obtained according to the personalized information of the user, so that the bath recommended temperature can be different according to the personalized requirements of different users.
As a further embodiment, after S104, the method further includes S105: acquiring a relative change information set of a user; respectively determining a recommendation coefficient of each category to which the relative variation information in the relative variation information set belongs; and obtaining the corrected bath recommended temperature by using the bath recommended temperature and the recommendation coefficient of the category to which each piece of relative variation information belongs.
Specifically, the relative change information set includes one or more of the following relative change information: clock, exercise and health information. Wherein, the exercise and health information comprises exercise steps, body fat rate, exercise condition, sleep information, heart rate information and the like.
Specifically, the following scheme may be adopted to obtain the corrected recommended bathing temperature by using the recommended bathing temperature and the recommended coefficient of the category to which each piece of relative variation information belongs: and accumulating and multiplying the bath recommended temperature and the recommendation coefficient of the category to which each piece of relative variation information belongs to obtain the corrected bath recommended temperature.
For example, the clock may be used to determine the action to be taken by the user, such as taking a bath before sleeping, or taking a bath after getting up, and then multiplying the corresponding recommended coefficient preset by the system.
The user exercise and health information, such as exercise time, exercise amount, heart rate, sleep data, pressure data and the like, can be acquired in software recorded with the exercise and health information, and then multiplied by corresponding recommendation coefficients preset by the system. For example, if a person is under a great stress, the water temperature can be reduced by 1-2 degrees through a recommendation coefficient, because the body temperature of the person is increased when the person is irritated. It should be noted that there may be a separate recommendation coefficient for each of the exercise and health information.
Specifically, the recommendation coefficient of the category to which each piece of relative variation information belongs may be obtained by learning the collected relative variation information sets of the plurality of users and the bath recommended temperature corresponding to each user.
As a further embodiment, after S104, the method further includes S106: acquiring disease information; and adjusting the bath recommended temperature according to the disease information. Or, after S105, further includes S107: acquiring disease information; and adjusting the revised bath recommended temperature according to the disease information.
That is, the option of whether the user has a certain disease is increased, and the content has the highest priority compared with other content, so that other assumptions can be overridden and stand alone. The original coefficient can be corrected according to the disease type or the final recommended temperature is restricted by the upper limit and the lower limit.
In order to explain the bath temperature recommendation method of embodiment 1 of the invention in more detail, a specific example is given. Fig. 2 is a flowchart illustrating a specific example of the bath temperature recommendation method in embodiment 1 of the present invention.
The application object of the bath temperature recommendation method in fig. 2 is a gas water heater with a function of directly or indirectly connecting with mobile communication equipment such as a mobile phone and a smart watch. The gas water heater can be connected with a mobile phone, and personal information permitted by a user can be obtained. Wherein the personal information of the user includes but is not limited to: name, sex, age, occupation, weight, height, geographic position, clock, bill payment data, mobile phone movement and health app information (steps, fat rate, exercise condition, sleep information, heart rate information and the like), each gas water heater can be connected with the mobile communication devices of a plurality of users at the same time, and reasonable recommendation can be made according to different user information, and the specific learning recommendation logic is as follows:
1. the smart device is connected to let the user fill in known personal information (information items that do not change frequently, such as basic information: name, gender, age, occupation, height, weight, geographical location).
2. Acquiring other use authorities (clock, sport and health app data) of the user needing to update information in real time
3. The judgment logic: the gas water heater is preset with basic recommended bathing temperature data A based on the ambient temperature and calculation coefficients of the recommended bathing temperature data for different people (the infrequently-changed information items). The preset coefficient is multiplied by the base recommended bath temperature a.
The basic bathing temperature value A recommended based on the environment temperature comes from the geographical position and the real-time environment temperature, so that the basic bathing temperature A is matched with the preset value of the system and recommended.
After obtaining the recommended bath temperature value B calculated by the information items which are not changed frequently, combining the real-time conditions of the user: the clock data is used to determine the action (such as taking a bath before sleeping or taking a bath after getting up) to be performed by the user, and then multiplied by a corresponding coefficient preset by the system. And finally, bath data of exercise and health are obtained, and for software for recording user exercise and certain body data, the recommended temperature is very important, so that the exercise time and the exercise amount of the user can be seen, the bath temperature is recommended according to the comparison between the exercise time and the bath time clock, and the heart rate, more specific physique data, sleep data, pressure data, getting-up time and the like) of the user can be obtained, so that the finally recommended bath temperature C is made according to preset data of the system.
According to the embodiment 1 of the invention, the accuracy of the recommended temperature can be improved by acquiring the necessary personal basic information and basic water usage habits of the user and reasonably recommending the water usage temperature according to the actual situation.
Example 2
Corresponding to embodiment 1 of the present invention, embodiment 2 of the present invention provides a bath temperature recommendation device, fig. 3 is a schematic structural diagram of the bath temperature recommendation device in embodiment 2 of the present invention, and as shown in fig. 3, the bath temperature recommendation device in embodiment 2 of the present invention includes a first obtaining module 20, a second obtaining module 21, a processing module 22, and a recommendation module 23.
Specifically, the first obtaining module 20 is configured to obtain a basic bathing temperature;
a second obtaining module 21, configured to obtain a relatively stable information set of a user;
the processing module 22 is configured to determine a recommendation coefficient of a category to which each piece of relatively stable information in the relatively stable information set belongs;
and the recommending module 23 is configured to obtain a bath recommended temperature by using the basic bath temperature and the recommending coefficient of the category to which each piece of the relatively stable information belongs.
The details of the water heater can be understood by referring to the corresponding descriptions and effects of the embodiment shown in fig. 1 to 3, and the details are not described herein again.
Example 3
Embodiments of the present invention also provide a water heater, which may include a processor and a memory, wherein the processor and the memory may be connected by a bus or other means.
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, such as program instructions/modules (e.g., the first obtaining module 20, the second obtaining module 21, the processing module 22, and the recommending module 23 shown in fig. 3) corresponding to the bathing temperature recommending method in the embodiment of the present invention. The processor executes various functional applications and data processing of the processor by running non-transitory software programs, instructions and modules stored in the memory, so as to implement the bath temperature recommendation method in the above method embodiment.
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. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The one or more modules are stored in the memory and, when executed by the processor, perform a bath temperature recommendation method as in the embodiment shown in figures 1-3.
The details of the water heater can be understood by referring to the corresponding descriptions and effects of the embodiment shown in fig. 1 to 3, and the details are not described herein again.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. The storage medium may be a magnetic Disk, an optical Disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a Flash Memory (Flash Memory), a Hard Disk (Hard Disk Drive, abbreviated as HDD), a Solid State Drive (SSD), or the like; the storage medium may also comprise a combination of memories of the kind described above.
Although the embodiments of the present invention have been described in conjunction with the accompanying drawings, those skilled in the art may make various modifications and variations without departing from the spirit and scope of the invention, and such modifications and variations fall within the scope defined by the appended claims.
Claims (6)
1. A bath temperature recommendation method is characterized by comprising the following steps:
acquiring a basic bathing temperature;
acquiring a relative stable information set of a user;
respectively determining a recommendation coefficient of each category to which the relative stability information in the relative stability information set belongs;
performing multiplication on the basic bathing temperature and the recommendation coefficient of the category to which each piece of relatively stable information belongs to obtain a bathing recommended temperature;
the bath temperature recommendation method further comprises the following steps:
acquiring a relative change information set of a user, wherein the relative change information set comprises one or more of the following relative change information: clock, exercise and health information;
respectively determining a recommendation coefficient of each category to which the relative variation information in the relative variation information set belongs;
and accumulating and multiplying the bath recommended temperature and the recommendation coefficient of the category to which each piece of relative variation information belongs to obtain the corrected bath recommended temperature.
2. The method of claim 1, wherein the set of relatively stable information comprises one or more of the following: name, gender, age, occupation, height, weight, geographic location.
3. The method of claim 1, further comprising:
acquiring disease information;
and adjusting the bath recommended temperature or the corrected bath recommended temperature according to the disease information.
4. A bath temperature recommendation device, comprising:
the first acquisition module is used for acquiring the basic bathing temperature;
the second acquisition module is used for acquiring a relative stable information set of the user;
the processing module is used for respectively determining the recommendation coefficient of each category to which the relative stability information in the relative stability information set belongs;
the recommending module is used for accumulating and multiplying the basic bathing temperature and the recommending coefficient of the category to which each piece of relatively stable information belongs to obtain the bathing recommended temperature;
the second obtaining module is further configured to obtain a relative change information set of a user, where the relative change information set includes one or more of the following relative change information: clock, exercise and health information;
the processing module is further configured to determine a recommendation coefficient of a category to which each piece of relative variation information in the relative variation information set belongs;
and the recommending module is further used for accumulating and multiplying the bath recommended temperature and the recommending coefficient of the category to which each piece of relative variation information belongs to obtain the bath recommended temperature after correction.
5. A water heater, comprising: a memory and a processor, the memory and the processor being communicatively connected to each other, the memory having stored therein computer instructions, the processor executing the computer instructions to perform the bath temperature recommendation method of any one of claims 1-3.
6. A computer readable storage medium, characterized in that the computer readable storage medium stores computer instructions for causing the computer to execute the bath temperature recommendation method of any one of claims 1-3.
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| CN202110987373.2A CN113776196B (en) | 2021-08-26 | 2021-08-26 | Bath temperature recommendation method and device and water heater |
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| CN202110987373.2A CN113776196B (en) | 2021-08-26 | 2021-08-26 | Bath temperature recommendation method and device and water heater |
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH03198824A (en) * | 1989-12-27 | 1991-08-30 | Toto Ltd | Bath controller |
| CN110411030A (en) * | 2019-07-11 | 2019-11-05 | 青岛海尔空调器有限总公司 | Control method for smart home system |
| CN111306801A (en) * | 2020-02-25 | 2020-06-19 | 广东万家乐燃气具有限公司 | Control method and system of water heater |
| CN111365849A (en) * | 2020-03-02 | 2020-07-03 | 华帝股份有限公司 | Comfortable bathing control method and water heater system |
| CN111435039A (en) * | 2019-01-15 | 2020-07-21 | 青岛经济技术开发区海尔热水器有限公司 | Water temperature control method and device, water heater and storage medium |
-
2021
- 2021-08-26 CN CN202110987373.2A patent/CN113776196B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH03198824A (en) * | 1989-12-27 | 1991-08-30 | Toto Ltd | Bath controller |
| CN111435039A (en) * | 2019-01-15 | 2020-07-21 | 青岛经济技术开发区海尔热水器有限公司 | Water temperature control method and device, water heater and storage medium |
| CN110411030A (en) * | 2019-07-11 | 2019-11-05 | 青岛海尔空调器有限总公司 | Control method for smart home system |
| CN111306801A (en) * | 2020-02-25 | 2020-06-19 | 广东万家乐燃气具有限公司 | Control method and system of water heater |
| CN111365849A (en) * | 2020-03-02 | 2020-07-03 | 华帝股份有限公司 | Comfortable bathing control method and water heater system |
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