Air conditioning intelligent adjustment method and device

Abstract

The present invention discloses an intelligent air conditioning adjustment method and device, the method comprising: determining a scenario mode selected by a user; if the scenario mode is a non-sleep mode, obtaining the type of clothing selected by the user; determining the user's current metabolic rate according to the scenario mode and user attribute information; determining clothing thermal resistance according to the clothing type; calculating an ideal environment setting temperature according to the user's current metabolic rate and the clothing thermal resistance; and adjusting the temperature of the air conditioner according to the ideal environment setting temperature. The scheme of the present invention can intelligently meet the user's demand for air conditioning temperature control.

Description

Technical Field

[0001] The present invention relates to the technical field of air conditioning control, and in particular to an air conditioning intelligent adjustment method and device. Background Art

[0002] At present, the research on thermal comfort in various countries around the world has entered a new era, especially the research on air conditioning control, which can provide people with a more comfortable working and living environment, which is conducive to improving work efficiency and maintaining a good health level. For this reason, the industry has also proposed the concept of comfort air conditioning, that is, air conditioning that determines and controls the main state parameters of indoor air according to the requirements of human comfort. Since there are many factors that affect human comfort, and usually factors such as energy consumption need to be considered, the air conditioners on the market need to be improved in terms of intelligence and comfort due to the limitations of existing air conditioning control technology. Summary of the invention

[0003] The present invention provides an intelligent air conditioning adjustment method and device, which can intelligently meet the user's demand for air conditioning temperature control.

[0004] To this end, the present invention provides the following technical solutions:

[0005] An air conditioner intelligent adjustment method, the method comprising:

[0006] Determine the scenario mode selected by the user;

[0007] If the scene mode is a non-sleep mode, obtaining the clothing type selected by the user;

[0008] Determine the user's current metabolic rate according to the scenario mode and the user attribute information;

[0009] determining thermal resistance of clothing according to the type of clothing;

[0010] Calculating an ideal ambient setting temperature according to the user's current metabolic rate and the thermal resistance of the clothing;

[0011] The air conditioner is temperature-regulated according to the ideal ambient setting temperature.

[0012] Optionally, the method further comprises: presetting the activity intensity value corresponding to each scenario mode and the metabolic rate function corresponding to different genders;

[0013] Determining the user's current metabolic rate according to the scenario mode and the user attribute information includes:

[0014] Acquire user attribute information according to the user ID, wherein the user attribute information includes the user's gender and age;

[0015] Obtaining the activity intensity value corresponding to the scenario mode;

[0016] The activity intensity value and the user age are input into a metabolic rate function corresponding to the user's gender to calculate the user's current metabolic rate.

[0017] Optionally, the method further comprises: presetting a correspondence between clothing types and clothing thermal resistance;

[0018] Determining the thermal resistance of clothing according to the clothing type comprises:

[0019] The corresponding relationship is searched according to the clothing type to obtain the clothing thermal resistance corresponding to the clothing type.

[0020] Optionally, the method further comprises: setting an ideal temperature calculation formula based on clothing thermal resistance corresponding to different metabolic rates;

[0021] The calculating the ideal environment setting temperature according to the current metabolic rate of the user and the thermal resistance of the clothing comprises:

[0022] Obtaining an ideal temperature calculation formula based on clothing thermal resistance corresponding to the user's current metabolic rate;

[0023] The ideal environment setting temperature is calculated using the ideal temperature calculation formula and the clothing thermal resistance.

[0024] Optionally, the method further comprises:

[0025] Acquiring the outdoor ambient temperature, and calculating a correction amount according to the outdoor ambient temperature;

[0026] Correcting the ideal ambient setting temperature according to the correction amount to obtain a corrected temperature;

[0027] The step of adjusting the temperature of the air conditioner according to the ideal ambient setting temperature comprises:

[0028] The air conditioner is temperature-regulated according to the corrected temperature.

[0029] Optionally, calculating the correction amount according to the outdoor ambient temperature includes:

[0030] Determine the sliding mean temperature T outside on that day ma , and the sliding mean temperature T of the transition season at the location smean ;

[0031] If T ma >T smean , then calculate the correction amount according to the first calculation formula;

[0032] Otherwise, the correction amount is calculated according to the second calculation formula.

[0033] Optionally, the method further comprises:

[0034] If the scene mode is the sleep mode, the temperature of the air conditioner is adjusted according to the preset temperature of the sleep mode.

[0035] Optionally, the method further comprises:

[0036] Set up a manual control interface on the control interface;

[0037] When the manual control interface receives the temperature input by the user, the air-conditioning temperature is adjusted to the temperature input by the user.

[0038] An intelligent air conditioning adjustment device, the device comprising: an information acquisition module, a calculation module, and a temperature control module;

[0039] The information acquisition module is used to determine the scene mode selected by the user, and when the scene mode is a non-sleep mode, obtain the type of clothing selected by the user;

[0040] The calculation module is used to determine the user's current metabolic rate according to the scenario mode and user attribute information;

[0041] The information acquisition module is further used to determine the thermal resistance of clothing according to the clothing type;

[0042] The calculation module is further used to calculate the ideal environment setting temperature according to the current metabolic rate of the user and the thermal resistance of the clothing;

[0043] The temperature control module is used to adjust the temperature of the air conditioner according to the ideal environmental setting temperature.

[0044] Optionally, the device further comprises:

[0045] A setting module, used to pre-set the activity intensity value corresponding to each scenario mode and the metabolic rate function corresponding to different genders;

[0046] The information acquisition module is further used to acquire user attribute information according to the user ID, wherein the user attribute information includes the user's gender and age; and is also used to acquire the activity intensity value corresponding to the scenario mode;

[0047] The calculation module is specifically used to input the activity intensity value and the user age into a metabolic rate function corresponding to the user's gender to calculate the user's current metabolic rate.

[0048] Optionally, the setting module is further used to pre-set the corresponding relationship between clothing type and clothing thermal resistance;

[0049] The information acquisition module searches for the corresponding relationship according to the clothing type to obtain the clothing thermal resistance corresponding to the clothing type.

[0050] Optionally, the setting module is further used to set an ideal temperature calculation formula corresponding to different metabolic rates;

[0051] The calculation module is specifically used to obtain an ideal temperature calculation formula corresponding to the current metabolic rate of the user, and to calculate an ideal ambient setting temperature using the ideal temperature calculation formula and the thermal resistance of the clothing.

[0052] Optionally, the device further comprises:

[0053] Ambient temperature acquisition module, used to obtain outdoor ambient temperature;

[0054] The calculation module is further used to calculate a correction amount according to the outdoor ambient temperature; and to correct the ideal ambient setting temperature according to the correction amount to obtain a corrected temperature;

[0055] The temperature control module is specifically used to adjust the temperature of the air conditioner according to the corrected temperature.

[0056] Optionally, the device further comprises: a control panel, wherein a manual control interface is provided on the control panel;

[0057] The information acquisition module is further used to receive a temperature input by a user at the manual control interface;

[0058] The temperature control module is further used to adjust the air-conditioning temperature to the temperature input by the user.

[0059] The air conditioner intelligent adjustment method and device provided by the embodiment of the present invention comprehensively considers the current scene mode, the user's attribute information (including age and gender), and the clothing type when determining the ideal environment setting temperature, so that the temperature setting that meets the user's current actual situation can be set according to these factors. In addition, a variety of scene modes and clothing types are pre-set for users to choose from, and the ideal environment setting temperature is determined according to the user's choice and the user's own situation. The air conditioner is adjusted according to the temperature, thereby realizing automatic adjustment of the air conditioner temperature, greatly improving the intelligence of the air conditioner control, and because multiple factors are considered, it can largely meet the user's comfort needs.

[0060] Furthermore, considering the different effects of different outdoor ambient temperatures on the indoor environment, the solution of the present invention can also correct the calculated ideal ambient setting temperature according to the outdoor ambient temperature to make the ambient setting temperature more ideal.

[0061] Furthermore, by treating the sleep mode as a special scenario and performing specific control, the user's needs for ambient temperature while sleeping can be better met. BRIEF DESCRIPTION OF THE DRAWINGS

[0062] Figure 1 is a flow chart of an air conditioner intelligent adjustment method according to an embodiment of the present invention;

[0063] Figure 2 is another flow chart of the air conditioner intelligent adjustment method according to an embodiment of the present invention;

[0064] Figure 3 This is a structural schematic diagram of an intelligent air conditioning adjustment device according to an embodiment of the present invention;

[0065] Figure 4 This is another structural schematic diagram of the air conditioner intelligent adjustment device according to an embodiment of the present invention;

[0066] Figure 5 It is another structural schematic diagram of the intelligent air conditioning regulating device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0067] In order to enable persons skilled in the art to better understand the solutions of the embodiments of the present invention, the embodiments of the present invention are further described in detail below in conjunction with the accompanying drawings and implementation modes.

[0068] In response to users' demand for indoor environmental comfort, the embodiments of the present invention provide an air-conditioning intelligent adjustment method and device, which comprehensively considers various factors related to comfort, realizes intelligent adjustment of the air-conditioning, and improves user experience.

[0069] Specifically, the ideal ambient setting temperature T set The parameters such as activity intensity act, clothing thermal resistance Icl, gender, and age can be comprehensively considered, that is, T set =function(act,Icl,gender,age).

[0070] Furthermore, considering that the user's gender, age, and activity type will affect the metabolic rate M, in order to simplify the complexity of the calculation process, the metabolic rate M can be used as an intermediate variable, that is, M = f(act, gender, age), and then the above ideal environment setting temperature T set The function is simplified to T set = function (M, Icl). In this way, the metabolic rate can be determined based on the user's gender, age, and activity intensity, and then the ideal ambient setting temperature T can be determined based on the determined metabolic rate and clothing thermal resistance Icl. set .

[0071] like Figure 1FIG. 1 is a flow chart of an air conditioner intelligent adjustment method according to an embodiment of the present invention, comprising the following steps:

[0072] Step 101, determining the scenario mode selected by the user.

[0073] In a specific application, the scenario mode can be set as needed, each scenario mode corresponds to an activity type, and different activity types have different activity intensities. For the convenience of description, the activity intensity is represented by act. For example, the scenario mode may include but is not limited to any one or more of the following:

[0074] Sleep (sleep mode)

[0075] Reading and watching TV (1.2)

[0076] Office (1.2)

[0077] Eating (1.5)

[0078] Housework (2)

[0079] Sports(3)

[0080] The values ​​in brackets are the values ​​of the activity intensity act corresponding to the corresponding scene mode. The sleep mode can be controlled separately as a special scene mode.

[0081] Step 102: If the scene mode is a non-sleep mode, obtain the clothing type selected by the user.

[0082] Since different user clothing will affect different requirements for ambient temperature, in the embodiment of the present invention, it is also necessary to consider the user's clothing type and set the thermal resistance Icl for each clothing type. The value of the thermal resistance Icl can be determined based on empirical values ​​or test statistical values.

[0083] For example, three types of clothing can be set: short-sleeved clothing, long-sleeved clothing, and thick long-sleeved clothing, and the corresponding thermal resistances Icl are 0.2, 0.4, and 0.8 respectively.

[0084] In specific applications, the above options can be set on the corresponding APP user interface. It should be noted that the above scenario modes and clothing types are just examples, and the specific modes and types can be set according to user needs. Moreover, there can be multiple levels of selection, for example, more clothing options can be set as extended functions of the secondary interface for users to choose.

[0085] Step 103, determining the user's current metabolic rate according to the scenario mode and user attribute information.

[0086] In the application of the above-mentioned APP, users can obtain the right to use the APP by registering and upload their personal attribute information during registration so that personalized services can be provided based on each user's own situation.

[0087] For example, when registering, users can upload age and gender attributes. Each user is identified by a corresponding ID. The personal attribute information uploaded by the user is bound to the user ID. When the user's personal attribute information is needed, this information can be obtained based on the user ID.

[0088] As mentioned earlier, the metabolic rate is related to the user's gender, age, and activity intensity. For example, the user's metabolic rate M can be calculated using the following formula, in met:

[0089] M = (act-BM) + correction value;

[0090] Among them, BM represents the basal metabolic rate. The default value of BM is 0.8, and the correction value is related to the user's gender and age.

[0091] To facilitate calculation, different age-based correction items can be set for different genders. In this way, different metabolic rate calculation formulas can be designed for different genders, such as:

[0092] For male users, that is, gender = male, then

[0093] M=(act-BM)+[0.000012*age 4 -0.002588*age 3 +0.193497*age 2 -

[0094] 6.287260*age+232.180668]*1000 / 3600 / 58.2;

[0095] For female users, that is, gender = female, then

[0096] M=(act-BM)+[0.000024*age 4 -0.004765*age 3 +0.327893*age 2

[0097] -9.530635*age+247.658599]*1000 / 3600 / 58.2;

[0098] Among them, BM represents the basal metabolic rate, and the following items are correction values ​​based on age (age), and the age value range can be set to [10,80].

[0099] Step 104: determining thermal resistance of clothing according to the clothing type.

[0100] Specifically, the corresponding relationship between clothing type and clothing thermal resistance can be preset and preconfigured into the system. In this way, by searching the corresponding relationship according to the clothing type selected by the user, the clothing thermal resistance corresponding to the clothing type can be easily obtained.

[0101] Step 105, calculating an ideal ambient setting temperature according to the user's current metabolic rate and the clothing thermal resistance.

[0102] In the embodiment of the present invention, the ideal environment setting temperature mainly considers the user's current metabolic rate and clothing thermal resistance, that is, T set =function(act,Icl,gender,age)=function(M,Icl).

[0103] Considering the nonlinear relationship between the ideal ambient setting temperature, metabolic rate and clothing thermal resistance, in order to make the final ideal ambient setting temperature more in line with user needs, a linear function based on clothing thermal resistance corresponding to different metabolic rates can be set, that is, T set =a*lcl+b, where a and b are correlation coefficients, which can be determined based on experience or test statistics. For example, set the following T corresponding to different metabolic rates: set function:

[0104] 0 <M<0.75T set =-3.5*lcl+31.1;

[0105] 0.75≤M<0.85T set =-4.2*lcl+30.2;

[0106] 0.85≤M<0.95T set =-4.8*lcl+29.5;

[0107] 0.95≤M<1.0T set =-5.2*lcl+28.6;

[0108] 1.0≤M<1.1T set =-5.9*lcl+28.3;

[0109] 1.1≤M<1.2T set =-6.2*lcl+27.8;

[0110] 1.2≤M<1.3T set =-6.4*lcl+27.2;

[0111] 1.3≤M<1.4T set =-6.9*lcl+26.8;

[0112] 1.4≤M<1.5T set =-7.2*lcl+26.7;

[0113] 1.5≤M<1.6T set =-7.5*lcl+25.7;

[0114] 1.6≤M<1.7T set =-7.8*lcl+25.2;

[0115] 1.7≤M<1.8T set =-8.5*lcl+24.9;

[0116] 1.8≤M<1.9T set =-9.0*lcl+24.6;

[0117] 1.9≤M<2.0T set =-9.1*lcl+23.8;

[0118] 2.0≤M<2.1T set =-10.0*lcl+24.0;

[0119] 2.1≤M<2.2T set =-10.0*lcl+23.0;

[0120] 2.2≤M<2.3T set =-10.0*lcl+22.6;

[0121] 2.3≤M<2.4T set =-10.0*lcl+22.0;

[0122] 2.4≤M<2.5T set =-10.0*lcl+21.0;

[0123] 2.5≤M<2.6T set =-10.0*lcl+21.0;

[0124] 2.6≤M<2.7T set =-12.3*lcl+20.9;

[0125] 2.7≤M<2.8T set =-10.7*lcl+20.0;

[0126] 2.8≤M<2.9T set=-13.0*lcl+20.0;

[0127] 2.9≤M<3.0T set =-10.0*lcl+19.0;

[0128] 3.0≤M<3.1T set =-14.0*lcl+19.1;

[0129] Other M values ​​T set =-10.0*lcl+18.0.

[0130] Of course, the above functions are only examples, and the embodiments of the present invention are not limited to specific function formulas. In practical applications, they can be determined according to control granularity, etc.

[0131] Step 106, adjusting the temperature of the air conditioner according to the ideal ambient setting temperature.

[0132] It should be noted that in non-sleep mode, the air conditioning temperature can be controlled in the above manner. In sleep mode, a separate control method can be set to better meet the user's demand for ambient temperature when sleeping. The embodiment of the present invention does not limit the control method in sleep mode, for example, a traditional manual control method can be used.

[0133] The air conditioner intelligent adjustment method provided by the embodiment of the present invention comprehensively considers the current scene mode, the user's attribute information (including age and gender), and the clothing type when determining the ideal environment setting temperature, so that the temperature setting that meets the user's current actual situation can be set according to these factors. In addition, a variety of scene modes and clothing types are pre-set for users to choose from, and the ideal environment setting temperature is determined according to the user's choice and the user's own situation. The air conditioner is adjusted according to the temperature, thereby realizing automatic adjustment of the air conditioner temperature, greatly improving the intelligence of the air conditioner control, and because multiple factors are considered, it can largely meet the user's comfort needs.

[0134] Furthermore, considering the different effects of different outdoor ambient temperatures on the indoor environment, in another non-limiting embodiment of the method of the present invention, the ideal ambient setting temperature calculated above can be corrected according to the outdoor ambient temperature, so that the ambient setting temperature is more ideal and accurate.

[0135] like Figure 2 FIG. 2 is another flow chart of an air conditioner intelligent adjustment method according to an embodiment of the present invention, comprising the following steps:

[0136] Step 201, determining the scenario mode selected by the user.

[0137] Step 202: If the scene mode is a non-sleep mode, obtain the clothing type selected by the user.

[0138] Step 203: determining the user's current metabolic rate according to the scenario mode and the user attribute information.

[0139] Step 204: determining thermal resistance of clothing according to the clothing type.

[0140] Step 205, calculating an ideal ambient setting temperature according to the user's current metabolic rate and the clothing thermal resistance.

[0141] The above steps 201 to 205 are Figure 1 Steps 101 to 105 are the same as in , and will not be repeated here.

[0142] Step 206, obtaining the outdoor ambient temperature.

[0143] Step 207, calculating a correction amount according to the outdoor ambient temperature, and correcting the ideal ambient setting temperature according to the correction amount to obtain a corrected temperature.

[0144] In the embodiment of the present invention, the correction amount may be calculated according to the sliding temperature in different seasons, that is, the temperature change.

[0145] Specifically, determine the sliding mean outdoor temperature T ma , and the sliding mean temperature T of the transition season in the location (i.e. the city where the user is located) smean If T ma >T smean , the correction amount delta_T is calculated according to the first calculation formula; otherwise, the correction amount delta_T is calculated according to the second calculation formula.

[0146] For example: ma >T smean delta_T=(T ma -T tsmean ) / (T mamax -T tsmean );

[0147] Otherwise, delta_T=(T ma -T tsmean ) / (T tsmean -T mamin );

[0148] Among them, T mamax is the annual maximum sliding mean temperature of the user’s city, T mamin It is the annual minimum sliding mean temperature of the user's city.

[0149] The final output set temperature of the intelligent adjustment is determined by the function (act, Icl, gender, age) and the correction term delta_T, that is, T set =T set +delta_T.

[0150] Step 208, adjusting the temperature of the air conditioner according to the corrected temperature.

[0151] Furthermore, considering that different users may have different feelings about the comfort of the ambient temperature, and the same user may have different preferences for the ambient temperature in different scenarios, in order to better meet the current needs of the user when the air conditioner is automatically adjusted, in another embodiment of the method of the present invention, a manual control function may also be provided to the user.

[0152] For example, a manual control interface is set in the control interface; when the manual control interface receives the temperature input by the user, the air conditioner temperature is adjusted to the temperature input by the user. In other words, no matter what the situation, the priority of manual control by the user is always higher than the priority of automatic control based on the user's evaluation information, so that the target temperature can better meet the needs of users in various environments.

[0153] It should be noted that the manual control interface can be a hardware operation interface, such as a temperature adjustment button on a remote control; it can also be a software operation interface, such as a user input interface on an APP.

[0154] Accordingly, an embodiment of the present invention further provides an intelligent air conditioning adjustment device, such as Figure 3 Shown is a structural schematic diagram of the device.

[0155] The air conditioning intelligent adjustment device 300 of this embodiment includes the following modules: an information acquisition module 301, a calculation module 302, and a temperature control module 303. Among them:

[0156] The information acquisition module 301 is used to determine the scene mode selected by the user, and when the scene mode is a non-sleep mode, obtain the clothing type selected by the user;

[0157] The calculation module 302 is used to determine the user's current metabolic rate according to the scenario mode and user attribute information;

[0158] The information acquisition module 301 is also used to determine the thermal resistance of clothing according to the clothing type;

[0159] The calculation module 302 is also used to calculate the ideal environment setting temperature according to the user's current metabolic rate and the clothing thermal resistance;

[0160] The temperature control module 303 is used to adjust the temperature of the air conditioner according to the ideal environment setting temperature.

[0161] Furthermore, in order to facilitate the acquisition of various parameters and the flexibility of setting in different applications, in a non-limiting embodiment, the air conditioning intelligent adjustment device 300 may also include: a setting module (not shown) for presetting the activity intensity value corresponding to each scenario mode and the metabolic rate function corresponding to different genders. Accordingly, the information acquisition module 301 is also used to obtain user attribute information according to the user ID, and the user attribute information includes the user's gender and age; and is also used to obtain the activity intensity value corresponding to the scenario mode. Accordingly, the calculation module 302 can input the activity intensity value and the user's age into the metabolic rate function corresponding to the user's gender to calculate the user's current metabolic rate.

[0162] In another non-limiting embodiment, the setting module can also be used to pre-set the corresponding relationship between clothing type and clothing thermal resistance. Accordingly, the information acquisition module 301 can search for the corresponding relationship according to the clothing type to obtain the clothing thermal resistance corresponding to the clothing type.

[0163] In another non-limiting embodiment, the setting module can also be used to set an ideal temperature calculation formula corresponding to different metabolic rates. Accordingly, the calculation module 302 obtains the ideal temperature calculation formula corresponding to the current metabolic rate of the user, and calculates the ideal environment setting temperature using the ideal temperature calculation formula and the thermal resistance of the clothing.

[0164] Furthermore, considering the different effects of different outdoor ambient temperatures on the indoor environment, such as Figure 4 As shown, compared to Figure 3 In the embodiment shown, in another non-limiting embodiment of the device of the present invention, the air-conditioning intelligent adjustment device 300 may further include: an ambient temperature acquisition module 400, which is used to acquire the outdoor ambient temperature.

[0165] Correspondingly, in this embodiment, the calculation module 302 is further used to calculate a correction amount according to the outdoor ambient temperature; and to correct the ideal ambient setting temperature according to the correction amount to obtain a corrected temperature.

[0166] Accordingly, in this embodiment, the temperature control module 303 is specifically configured to adjust the temperature of the air conditioner according to the corrected temperature.

[0167] Furthermore, in order to better meet the specific needs of users in certain application environments, such as Figure 5 As shown, in another embodiment of the device of the present invention, a control panel 500 may be further included, and a manual temperature control interface 501 is provided on the control panel.

[0168] Accordingly, in this embodiment, the information acquisition module 301 is further used to receive a temperature input by a user at the manual control interface 501. The temperature control module 303 is further used to adjust the target temperature to the temperature input by the user.

[0169] Of course, in actual applications, other parameter control interfaces may be provided on the control panel 500, such as wind speed, wind direction, mode selection and other parameter control interfaces, which are not limited in the embodiment of the present invention.

[0170] It should be noted that the terms "including" and "having" and any variations thereof in the specification and claims of the present invention and the above-mentioned drawings are intended to cover non-exclusive inclusions. For example, a process, method, system, product or apparatus comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or apparatus.

[0171] Each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. Moreover, the system embodiments described above are merely schematic, in which the modules and units described as separate components may or may not be physically separated, that is, they may be located on one network unit, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without creative work.

[0172] The above embodiments may be implemented in whole or in part by software, hardware, firmware or any other combination thereof. When implemented using software, the above embodiments may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the processes or functions described in the embodiments of the present application are generated in whole or in part. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions may be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions may be transmitted from one website site, computer, server or data center to another website site, computer, server or data center by wired or wireless means.

[0173] The integrated unit implemented in the form of a software functional unit can be stored in a computer-readable storage medium. The above-mentioned software functional unit is stored in a storage medium, including a number of instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to perform some steps of the method described in each embodiment of the present application.

[0174] In various embodiments of the present invention, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0175] The embodiments of the present invention are described in detail above. The present invention is described in detail using specific implementation methods herein. The description of the above embodiments is only used to help understand the method and device of the present invention. It is only a part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should belong to the scope of protection of the present invention, and the content of this specification should not be understood as limiting the present invention. Therefore, any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. An air conditioning intelligent adjustment method, characterized in that: The method comprises: Determine the scenario mode selected by the user; If the scene mode is a non-sleep mode, obtaining the clothing type selected by the user; Determine the user's current metabolic rate according to the scenario mode and the user attribute information; determining thermal resistance of clothing according to the type of clothing; Calculating an ideal ambient setting temperature according to the user's current metabolic rate and the thermal resistance of the clothing; adjusting the temperature of the air conditioner according to the desired ambient setting temperature; The method further comprises: presetting the activity intensity value corresponding to each scenario mode and the metabolic rate function corresponding to different genders; Determining the user's current metabolic rate according to the scenario mode and the user attribute information includes: Acquire user attribute information according to the user ID, wherein the user attribute information includes the user's gender and age; Obtaining the activity intensity value corresponding to the scenario mode; Inputting the activity intensity value and the user age into a metabolic rate function corresponding to the user's gender to calculate the user's current metabolic rate; The activity intensity value and the user age are input into the metabolic rate function corresponding to the user's gender, and the user's current metabolic rate is calculated to include: The user's metabolic rate M is calculated using the following formula, in met: M = (act-BM) + correction value; Among them, act represents the activity intensity, BM represents the basal metabolic rate, and the default value of BM is 0.

8. The correction value is related to the user's gender and age. Set different age-based modifiers for different genders, For male users, For female users Wherein, act represents the activity intensity, which includes but is not limited to any one or more of the following: reading and watching TV is 1.2, office work is 1.2, eating is 1.5, housework is 2, and exercise is 3; BM represents the basal metabolic rate, and the following items are the correction values ​​based on age, and the value range of age is set to [10,80].

2. The method according to claim 1, characterized in that The method further comprises: presetting a correspondence between clothing types and clothing thermal resistance; Determining the thermal resistance of clothing according to the clothing type comprises: The corresponding relationship is searched according to the clothing type to obtain the clothing thermal resistance corresponding to the clothing type.

3. The method according to claim 2, characterized in that The method further includes: setting an ideal temperature calculation formula based on clothing thermal resistance corresponding to different metabolic rates; The calculating the ideal environment setting temperature according to the current metabolic rate of the user and the thermal resistance of the clothing comprises: Obtaining an ideal temperature calculation formula based on clothing thermal resistance corresponding to the user's current metabolic rate; The ideal environment setting temperature is calculated using the ideal temperature calculation formula and the clothing thermal resistance.

4. The method according to claim 1, characterized in that The method further comprises: Acquiring the outdoor ambient temperature, and calculating a correction amount according to the outdoor ambient temperature; Correcting the ideal ambient setting temperature according to the correction amount to obtain a corrected temperature; The step of adjusting the temperature of the air conditioner according to the ideal ambient setting temperature comprises: The air conditioner is temperature-regulated according to the corrected temperature.

5. The method according to claim 4, characterized in that The calculating of the correction amount according to the outdoor ambient temperature comprises: Determine the sliding mean temperature T outside on that day ma , and the sliding mean temperature T of the transition season at the location smean ; If T ma >T smean , then calculate the correction amount according to the first calculation formula; Otherwise, the correction amount is calculated according to the second calculation formula.

6. The method according to claim 1, characterized in that The method further comprises: If the scene mode is the sleep mode, the temperature of the air conditioner is adjusted according to the preset temperature of the sleep mode.

7. The method according to any one of claims 1 to 6, characterized in that: The method further comprises: Set up a manual control interface on the control interface; When the manual control interface receives the temperature input by the user, the air-conditioning temperature is adjusted to the temperature input by the user.

8. An intelligent air conditioning regulating device, characterized in that: The device comprises: an information acquisition module, a calculation module, and a temperature control module; The information acquisition module is used to determine the scene mode selected by the user, and when the scene mode is a non-sleep mode, obtain the type of clothing selected by the user; The calculation module is used to determine the user's current metabolic rate according to the scenario mode and user attribute information; The information acquisition module is further used to determine the thermal resistance of clothing according to the clothing type; The calculation module is further used to calculate the ideal environment setting temperature according to the user's current metabolic rate and the clothing thermal resistance; The temperature control module is used to adjust the temperature of the air conditioner according to the ideal environmental setting temperature; The device also includes: A setting module, used to pre-set the activity intensity value corresponding to each scenario mode and the metabolic rate function corresponding to different genders; The information acquisition module is further used to acquire user attribute information according to the user ID, wherein the user attribute information includes the user's gender and age; and is also used to acquire the activity intensity value corresponding to the scenario mode; The calculation module is specifically used to input the activity intensity value and the user age into a metabolic rate function corresponding to the user's gender to calculate the user's current metabolic rate; The activity intensity value and the user age are input into the metabolic rate function corresponding to the user's gender, and the user's current metabolic rate is calculated to include: The user's metabolic rate M is calculated using the following formula, in met: M = (act-BM) + correction value; Wherein, act represents the intensity of the activity, including but not limited to any one or more of the following: Reading and watching TV is 1.2, working is 1.2, eating is 1.5, housework is 2, and exercise is 3; BM stands for basal metabolic rate, and the default value of BM is 0.

8. The correction value is related to the user's gender and age; Set different age-based modifiers for different genders, For male users, For female users Among them, BM represents the basal metabolic rate, and the following items are correction values ​​based on age, and the age value range is set to [10,80].

9. The device according to claim 8, characterized in that The setting module is also used to pre-set the corresponding relationship between clothing type and clothing thermal resistance; The information acquisition module searches for the corresponding relationship according to the clothing type to obtain the clothing thermal resistance corresponding to the clothing type.

10. The device according to claim 9, characterized in that The setting module is also used to set an ideal temperature calculation formula corresponding to different metabolic rates; The calculation module is specifically used to obtain an ideal temperature calculation formula corresponding to the current metabolic rate of the user, and to calculate an ideal ambient setting temperature using the ideal temperature calculation formula and the thermal resistance of the clothing.

11. The device according to claim 8, characterized in that The device also includes: Ambient temperature acquisition module, used to obtain outdoor ambient temperature; The calculation module is further used to calculate a correction amount according to the outdoor ambient temperature; and to correct the ideal ambient setting temperature according to the correction amount to obtain a corrected temperature; The temperature control module is specifically used to adjust the temperature of the air conditioner according to the corrected temperature.

12. The device according to any one of claims 8 to 11, characterized in that The device further comprises: a control panel, wherein a manual control interface is provided on the control panel; The information acquisition module is further used to receive a temperature input by a user at the manual control interface; The temperature control module is further used to adjust the air-conditioning temperature to the temperature input by the user.

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