A temperature control method and a temperature control system based on a smart terminal

Abstract

The application discloses a temperature control method and system based on an intelligent terminal, relates to the technical field of temperature control, and realizes the characteristics of individualized comfort adjustment, intelligent environment management, energy saving and environmental protection, health and comfort synchronization, and automatic management by analyzing indoor air quality indexes and physiological indexes of family members, improves the automatic management level of the indoor environment, improves the convenience and comfort of life, provides high-quality indoor environment and comfortable living experience for users, realizes intelligent management of the indoor environment by automatically adjusting indoor temperature and curtain opening degree, improves the living experience and comfort of the occupants, realizes intelligent temperature and light adjustment, saves energy, improves the sustainability of the living environment, improves the sustainability of the living environment, can dynamically adjust temperature and light, improves indoor air quality, and is beneficial to the health and comfort of family members.

Description

Technical Field

[0001] This invention relates to the field of temperature control technology, and more specifically to a temperature control method and temperature control system based on a smart terminal. Background Technology

[0002] With the popularization and development of smart terminals, various intelligent solutions are constantly emerging in the field of smart homes. People have higher and higher requirements for the comfort of indoor environments, including temperature control methods based on smart terminals. Therefore, there is a need for a temperature control method and temperature control system based on smart terminals.

[0003] Traditional temperature control methods primarily rely on set temperatures to regulate indoor temperature. However, this approach ignores the human body's sensitivity to air quality and environmental factors, failing to provide a personalized and comfortable indoor environment. Clearly, this method suffers from at least the following problems: 1. The lack of intelligent temperature control in traditional technology leads to untimely indoor temperature adjustments. It simply controls the air conditioning or heating system according to the set temperature, ignoring the actual indoor and outdoor conditions. This results in low energy efficiency, increased household energy expenditure, and the lack of personalized temperature control means the indoor temperature may not meet the needs of family members in different spaces, reducing living comfort.

[0004] 2. Traditional technologies lack automated temperature and light regulation, requiring residents to spend more time and effort manually adjusting the indoor environment, reducing the convenience of life. At the same time, the lack of intelligent temperature and light regulation may lead to a decline in the health and quality of life of family members. Summary of the Invention

[0005] To address the aforementioned technical shortcomings, the purpose of this invention is to provide a temperature control method and temperature control system based on a smart terminal.

[0006] To solve the above-mentioned technical problems, the present invention adopts the following technical solution: In the first aspect, the present invention provides a temperature control method based on a smart terminal, including: Step 1, acquisition of indicators: setting several collection time points in the target scene, and then collecting air quality indicators corresponding to each space in the indoor space of the target scene and human physiological indicators corresponding to each family member at each collection time point. The air quality indicators include CO2 concentration and PM2.5 concentration, and the human physiological indicators include heart rate, skin temperature and sweat secretion.

[0007] Step 2: Analysis of Indicators: Based on the air quality indicators and human physiological indicators of each family member in the target scene indoors at each collection time point, the air quality indicators and human physiological indicators of each family member in the target scene indoors at each collection time point are analyzed to obtain the air quality assessment coefficient and human physiological assessment coefficient of each space in the target scene indoors at each collection time point.

[0008] Step 3: Obtaining the comfort assessment coefficient: Based on the air quality assessment coefficient and human physiological assessment coefficient of each space in the target scene at each collection time point, the comfort assessment coefficient of each space in the target scene at each collection time point is obtained.

[0009] Step 4: Automatic adjustment of comfort temperature: Based on the comfort evaluation coefficients of each space in the target scene at each collection time point, the comfort temperature of each space in the target scene at each collection time point is analyzed, and the comfort temperature of each space in the target scene at each collection time point is automatically adjusted according to the corresponding comfort temperature.

[0010] Step 5: Acquisition of environmental parameters: Collect the corresponding outdoor environmental parameters of each space in the target scene at each collection time point. The environmental parameters include light intensity, solar radiation angle and outdoor temperature.

[0011] Step Six: Automatic Adjustment of Curtain Opening and Closing Degree: Based on the environmental parameters corresponding to the outdoor environment of each space in the target scene at each collection time point, the environmental parameters corresponding to the outdoor environment of each space in the target scene at each collection time point are analyzed to obtain the environmental evaluation coefficient corresponding to the outdoor environment of each space in the target scene at each collection time point. Then, the curtain opening and closing degree corresponding to the indoor curtains in each space in the target scene at each collection time point is analyzed, and the indoor curtains in each space in the target scene at each collection time point are automatically adjusted according to the corresponding curtain opening and closing degree.

[0012] Preferably, the analysis of air quality indicators corresponding to each space in the target scene indoors at each collection time point is performed as follows: the CO2 concentration and PM2.5 concentration corresponding to each space in the target scene indoors at each collection time point are respectively denoted as... and Where i represents the number corresponding to each acquisition time point, i = 1, 2, ..., n, g represents the number corresponding to each space, g = 1, 2, ..., u, n is any integer greater than 2, u is any integer greater than 2, and so on. Substituting these values ​​into the calculation formula... In this process, the air quality assessment coefficients for each space within the target scene's indoor environment at each data collection time point are obtained. Where A′ and B′ are the standard CO2 concentration and standard PM2.5 concentration corresponding to the set space, respectively, and μ1 and μ2 are the weighting factors corresponding to the set space CO2 concentration and PM2.5 concentration, respectively.

[0013] Preferably, the analysis of human physiological indicators corresponding to each family member in each space of the target scene indoors at each collection time point is carried out as follows: the heart rate, skin temperature, and sweat secretion of each family member in each space of the target scene indoors at each collection time point are respectively recorded as follows: and Where h represents the number corresponding to each family member, h = 1, 2, ..., m, where m is any integer greater than 2. Substitute these values ​​into the calculation formula.

[0014]

[0015] In this process, the human physiological assessment coefficients corresponding to each space in the target scene's indoor environment at each collection time point were obtained. Wherein, C′, D′, and E′ represent the standard heart rate, standard skin temperature, and standard sweat secretion corresponding to family members, respectively. These are the weighting factors corresponding to the heart rate, skin temperature, and sweat secretion of family members, respectively.

[0016] Preferably, the process of obtaining the comfort evaluation coefficients corresponding to each space in the target scene indoors at each collection time point is as follows: The air quality evaluation coefficients corresponding to each space in the target scene indoors at each collection time point are... and human physiological assessment coefficient Substitute into the calculation formula In this process, the comfort evaluation coefficients corresponding to each space in the target scene's indoor environment at each data collection time point are obtained. Wherein, π1 and π2 are the weighting factors corresponding to the set space air quality assessment coefficient and human physiological assessment coefficient, respectively.

[0017] Preferably, the analysis of the comfort temperature corresponding to each space in the target scene indoors at each collection time point is specifically performed as follows: The comfort evaluation coefficient corresponding to each space in the target scene indoors at each collection time point is compared with the comfort evaluation coefficient corresponding to each comfort temperature in the database. If the comfort evaluation coefficient corresponding to a certain space in the target scene indoors at a certain collection time point is the same as the comfort evaluation coefficient corresponding to a certain comfort temperature in the database, then the comfort temperature corresponding to that comfort evaluation coefficient in the database is taken as the comfort temperature corresponding to that space in the target scene indoors at that collection time point. The comfort temperature corresponding to each space in the target scene indoors at each collection time point is analyzed in this way.

[0018] Preferably, the analysis of the environmental parameters corresponding to the outdoor spaces of each space in the target scene at each collection time point is as follows: the light intensity, solar radiation angle, and outdoor temperature corresponding to the outdoor spaces of each space in the target scene at each collection time point are respectively denoted as... and Where i represents the number corresponding to each acquisition time point, i = 1, 2, ..., n, g represents the number corresponding to each space, g = 1, 2, ..., u, n is any integer greater than 2, u is any integer greater than 2, and so on. Substituting these values ​​into the calculation formula... In this process, the environmental assessment coefficients corresponding to the outdoor environmental parameters of each space in the target scene at each collection time point are obtained. Where F′, J′, and K′ represent the standard outdoor light intensity, standard solar radiation angle, and standard outdoor temperature of the space, respectively, and σ1, σ2, and σ3 represent the weighting factors corresponding to the set outdoor light intensity, solar radiation angle, and outdoor temperature of the space.

[0019] Preferably, the specific analysis process for analyzing the curtain opening / closing degree corresponding to the indoor curtains in each space of the target scene at each collection time point is as follows: The environmental evaluation coefficient corresponding to the outdoor space of each space in the target scene at each collection time point is compared with the environmental evaluation coefficient corresponding to the curtain opening / closing degree in the database. If the environmental evaluation coefficient corresponding to the outdoor space of a certain space in the target scene at a certain collection time point is the same as the environmental evaluation coefficient corresponding to the curtain opening / closing degree in the database, then the curtain opening / closing degree corresponding to the environmental evaluation coefficient in the database is taken as the curtain opening / closing degree corresponding to the indoor curtains in that space of the target scene at that collection time point. The curtain opening / closing degree corresponding to the indoor curtains in each space of the target scene at each collection time point is analyzed in this way.

[0020] In a second aspect, the present invention provides a temperature control system based on a smart terminal, comprising: an indicator acquisition module for setting several collection time points in a target scene, and then collecting air quality indicators corresponding to each space in the indoor space of the target scene and human physiological indicators corresponding to each family member at each collection time point. The air quality indicators include CO2 concentration and PM2.5 concentration, and the human physiological indicators include heart rate, skin temperature and sweat secretion.

[0021] The indicator analysis module is used to analyze the air quality indicators and human physiological indicators of each family member in the target scene indoors at each collection time point, based on the air quality indicators of each space in the target scene indoors at each collection time point, and to obtain the air quality assessment coefficient and human physiological assessment coefficient of each space in the target scene indoors at each collection time point.

[0022] The comfort assessment coefficient acquisition module is used to obtain the comfort assessment coefficient for each space in the target scene at each collection time point based on the air quality assessment coefficient and human physiological assessment coefficient for each space in the target scene at each collection time point.

[0023] The automatic adjustment module for comfortable temperature is used to analyze the comfortable temperature of each space in the target scene at each collection time point based on the comfort evaluation coefficient of each space in the target scene at each collection time point, and then automatically adjust each space in the target scene at each collection time point according to the corresponding comfortable temperature.

[0024] The environmental parameter acquisition module is used to collect the corresponding outdoor environmental parameters of each space in the target scene at each acquisition time point. The environmental parameters include light intensity, solar radiation angle and outdoor temperature.

[0025] The automatic curtain opening / closing adjustment module is used to analyze the corresponding outdoor environmental parameters of each space in the target scene at each collection time point, obtain the corresponding environmental evaluation coefficient of each space in the target scene at each collection time point, and then analyze the curtain opening / closing degree of each space in the target scene at each collection time point, and automatically adjust the curtains of each space in the target scene at each collection time point according to the corresponding curtain opening / closing degree.

[0026] The beneficial effects of this invention are as follows: 1. This invention provides a temperature control method and temperature control system based on a smart terminal. By analyzing indoor air quality indicators and physiological indicators of family members, it achieves personalized comfort adjustment, intelligent environmental management, energy saving and environmental protection, simultaneous health and comfort, and automated management. It reduces manual intervention, improves the level of automated management of the indoor environment, enhances the convenience and comfort of life, and provides users with a high-quality indoor environment and a comfortable living experience.

[0027] 2. This invention provides a temperature control method and system based on a smart terminal. By automatically adjusting the indoor temperature and the opening and closing of the curtains, it achieves intelligent management of the indoor environment, improves the living experience and comfort of residents, comprehensively considers indoor and outdoor environmental parameters, realizes intelligent temperature and light regulation, saves energy, improves the sustainability of the living environment, can dynamically adjust temperature and light, improve indoor air quality, and is beneficial to the health and comfort of family members. Attached Figure Description

[0028] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0029] Figure 1 This is a flowchart illustrating the implementation steps of the method of the present invention.

[0030] Figure 2 This is a schematic diagram of the system module connections of the present invention. Detailed Implementation

[0031] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0032] Examples of embodiments of the present invention Figure 1 As shown, a temperature control method based on a smart terminal includes: Step 1, acquisition of indicators: Several collection time points are set in the target scene, and then the air quality indicators corresponding to each space in the indoor space of the target scene and the human physiological indicators corresponding to each family member are collected at each collection time point. The air quality indicators include CO2 concentration and PM2.5 concentration, and the human physiological indicators include heart rate, skin temperature and sweat secretion.

[0033] It should be noted that air quality sensors are installed in various spaces within the target scene's indoor environment to monitor the CO2 and PM2.5 concentrations in the indoor air. At each sampling time point, the corresponding CO2 and PM2.5 concentrations in each space within the target scene's indoor environment are collected.

[0034] It should also be noted that by using wearable smartwatches and smart bracelets worn by family members, it is possible to monitor the heart rate, skin temperature, and sweat secretion of each family member in different spaces within the target indoor scene in real time.

[0035] Step 2: Analysis of Indicators: Based on the air quality indicators and human physiological indicators of each family member in the target scene indoors at each collection time point, the air quality indicators and human physiological indicators of each family member in the target scene indoors at each collection time point are analyzed to obtain the air quality assessment coefficient and human physiological assessment coefficient of each space in the target scene indoors at each collection time point.

[0036] In a specific embodiment, the analysis of air quality indicators corresponding to each space in the target scene indoors at each collection time point is carried out as follows: The CO2 concentration and PM2.5 concentration corresponding to each space in the target scene indoors at each collection time point are respectively denoted as... and Where i represents the number corresponding to each acquisition time point, i = 1, 2, ..., n, g represents the number corresponding to each space, g = 1, 2, ..., u, n is any integer greater than 2, u is any integer greater than 2, and so on. Substituting these values ​​into the calculation formula... In this process, the air quality assessment coefficients for each space within the target scene's indoor environment at each data collection time point are obtained. Where A′ and B′ are the standard CO2 concentration and standard PM2.5 concentration corresponding to the set space, respectively, and μ1 and μ2 are the weighting factors corresponding to the set space CO2 concentration and PM2.5 concentration, respectively.

[0037] It should be noted that both μ1 and μ2 are greater than 0 and less than 1.

[0038] In another specific embodiment, the analysis of human physiological indicators corresponding to each family member in each space of the target scene indoors at each collection time point is carried out as follows: the heart rate, skin temperature, and sweat secretion of each family member in each space of the target scene indoors at each collection time point are respectively recorded as follows: and Where h represents the number corresponding to each family member, h = 1, 2, ..., m, where m is any integer greater than 2. Substitute these values ​​into the calculation formula.

[0039] In this process, the human physiological assessment coefficients corresponding to each space in the target scene's indoor environment at each collection time point were obtained. Wherein, C′, D′, and E′ represent the standard heart rate, standard skin temperature, and standard sweat secretion corresponding to family members, respectively. These are the weighting factors corresponding to the heart rate, skin temperature, and sweat secretion of family members, respectively.

[0040] It should be noted that, All are greater than 0 and less than 1.

[0041] Step 3: Obtaining the comfort assessment coefficient: Based on the air quality assessment coefficient and human physiological assessment coefficient of each space in the target scene at each collection time point, the comfort assessment coefficient of each space in the target scene at each collection time point is obtained.

[0042] In a specific embodiment, the process of obtaining the comfort evaluation coefficients corresponding to each space in the target scene indoors at each collection time point is as follows: The air quality evaluation coefficients corresponding to each space in the target scene indoors at each collection time point are... and human physiological assessment coefficient Substitute into the calculation formula In this process, the comfort evaluation coefficients corresponding to each space in the target scene's indoor environment at each data collection time point are obtained. Wherein, π1 and π2 are the weighting factors corresponding to the set space air quality assessment coefficient and human physiological assessment coefficient, respectively.

[0043] It should be noted that π1 and π2 are both greater than 0 and less than 1.

[0044] Step 4: Automatic adjustment of comfort temperature: Based on the comfort evaluation coefficients of each space in the target scene at each collection time point, the comfort temperature of each space in the target scene at each collection time point is analyzed, and the comfort temperature of each space in the target scene at each collection time point is automatically adjusted according to the corresponding comfort temperature.

[0045] In a specific embodiment, the analysis of the comfort temperature corresponding to each space in the target scene indoors at each collection time point is carried out as follows: The comfort evaluation coefficient corresponding to each space in the target scene indoors at each collection time point is compared with the comfort evaluation coefficient corresponding to each comfort temperature in the database. If the comfort evaluation coefficient corresponding to a certain space in the target scene indoors at a certain collection time point is the same as the comfort evaluation coefficient corresponding to a certain comfort temperature in the database, then the comfort temperature corresponding to that comfort evaluation coefficient in the database is taken as the comfort temperature corresponding to that space in the target scene indoors at that collection time point. The comfort temperature corresponding to each space in the target scene indoors at each collection time point is analyzed in this way.

[0046] Step 5: Acquisition of environmental parameters: Collect the corresponding outdoor environmental parameters of each space in the target scene at each collection time point. The environmental parameters include light intensity, solar radiation angle and outdoor temperature.

[0047] It should be noted that light sensors, tilted solar radiometers, and temperature sensors are installed outdoors in each space of the target scene. By using these sensors, the light intensity, solar radiation angle, and outdoor temperature of each space in the target scene are collected at each data collection time point.

[0048] Step Six: Automatic Adjustment of Curtain Opening and Closing Degree: Based on the environmental parameters corresponding to the outdoor environment of each space in the target scene at each collection time point, the environmental parameters corresponding to the outdoor environment of each space in the target scene at each collection time point are analyzed to obtain the environmental evaluation coefficient corresponding to the outdoor environment of each space in the target scene at each collection time point. Then, the curtain opening and closing degree corresponding to the indoor curtains in each space in the target scene at each collection time point is analyzed, and the indoor curtains in each space in the target scene at each collection time point are automatically adjusted according to the corresponding curtain opening and closing degree.

[0049] It should be noted that the opening degree of curtains refers to the extent to which the curtains are open or closed.

[0050] In a specific embodiment, the analysis of the environmental parameters corresponding to the outdoor spaces of each space in the target scene at each collection time point is performed as follows: the light intensity, solar radiation angle, and outdoor temperature corresponding to the outdoor spaces of each space in the target scene at each collection time point are respectively denoted as... and Where i represents the number corresponding to each acquisition time point, i = 1, 2, ..., n, g represents the number corresponding to each space, g = 1, 2, ..., u, n is any integer greater than 2, u is any integer greater than 2, and so on. Substituting these values ​​into the calculation formula... In this process, the environmental assessment coefficients corresponding to the outdoor environmental parameters of each space in the target scene at each collection time point are obtained. Where F′, J′, and K′ represent the standard outdoor light intensity, standard solar radiation angle, and standard outdoor temperature of the space, respectively, and σ1, σ2, and σ3 represent the weighting factors corresponding to the set outdoor light intensity, solar radiation angle, and outdoor temperature of the space.

[0051] It should be noted that σ1, σ2, and σ3 are all greater than 0 and less than 1.

[0052] In a specific embodiment, the analysis of the curtain opening degree corresponding to the indoor curtains in each space of the target scene at each collection time point is carried out as follows: The environmental evaluation coefficient corresponding to the outdoor space of each space in the target scene at each collection time point is compared with the environmental evaluation coefficient corresponding to the curtain opening degree in the database. If the environmental evaluation coefficient corresponding to the outdoor space of a certain space in the target scene at a certain collection time point is the same as the environmental evaluation coefficient corresponding to the curtain opening degree in the database, then the curtain opening degree corresponding to the environmental evaluation coefficient in the database is taken as the curtain opening degree corresponding to the indoor curtains in the target scene at that collection time point. The curtain opening degree corresponding to the indoor curtains in each space of the target scene at each collection time point is analyzed in this way.

[0053] This invention enables intelligent management of the indoor environment by automatically adjusting indoor temperature and the opening and closing of curtains, thereby improving the living experience and comfort of residents. By comprehensively considering indoor and outdoor environmental parameters, it achieves intelligent temperature and light regulation, saves energy, improves the sustainability of the living environment, and can dynamically adjust temperature and light to improve indoor air quality, which is beneficial to the health and comfort of family members.

[0054] Examples of embodiments of the present invention Figure 2 As shown, a temperature control system based on a smart terminal includes: an index acquisition module, an index analysis module, a comfort evaluation coefficient acquisition module, an automatic adjustment module for comfortable temperature, an environmental parameter acquisition module, and an automatic adjustment module for curtain opening and closing degree.

[0055] The indicator acquisition module is used to set several collection time points in the target scene, and then collect the air quality indicators corresponding to each space in the indoor space of the target scene and the human physiological indicators corresponding to each family member at each collection time point. The air quality indicators include CO2 concentration and PM2.5 concentration, and the human physiological indicators include heart rate, skin temperature and sweat secretion.

[0056] The indicator analysis module is used to analyze the air quality indicators and human physiological indicators of each family member in the target scene indoors at each collection time point, based on the air quality indicators of each space in the target scene indoors at each collection time point, and to obtain the air quality assessment coefficient and human physiological assessment coefficient of each space in the target scene indoors at each collection time point.

[0057] The comfort assessment coefficient acquisition module is used to obtain the comfort assessment coefficient for each space in the target scene at each collection time point based on the air quality assessment coefficient and human physiological assessment coefficient for each space in the target scene at each collection time point.

[0058] The automatic adjustment module for comfortable temperature is used to analyze the comfortable temperature of each space in the target scene at each collection time point based on the comfort evaluation coefficient of each space in the target scene at each collection time point, and then automatically adjust each space in the target scene at each collection time point according to the corresponding comfortable temperature.

[0059] The environmental parameter acquisition module is used to collect the corresponding outdoor environmental parameters of each space in the target scene at each acquisition time point. The environmental parameters include light intensity, solar radiation angle and outdoor temperature.

[0060] The automatic curtain opening / closing adjustment module is used to analyze the corresponding outdoor environmental parameters of each space in the target scene at each collection time point, obtain the corresponding environmental evaluation coefficient of each space in the target scene at each collection time point, and then analyze the curtain opening / closing degree of each space in the target scene at each collection time point, and automatically adjust the curtains of each space in the target scene at each collection time point according to the corresponding curtain opening / closing degree.

[0061] This invention provides a temperature control method and system based on a smart terminal. By analyzing indoor air quality indicators and physiological indicators of family members, it achieves personalized comfort adjustment, intelligent environmental management, energy conservation and environmental protection, simultaneous health and comfort, and automated management. It reduces human intervention, improves the level of automated management of the indoor environment, enhances the convenience and comfort of life, and provides users with a high-quality indoor environment and a comfortable living experience.

[0062] The above description is merely an example and illustration of the concept of the present invention. Those skilled in the art can make various modifications or additions to the specific embodiments described or use similar methods to replace them, as long as they do not deviate from the concept of the invention or exceed the scope defined in this specification, they should all fall within the protection scope of the present invention.

Claims

1. A temperature control method based on a smart terminal, characterized in that, include: Step 1: Acquisition of indicators: Set several collection time points in the target scene, and then collect the air quality indicators corresponding to each space in the indoor space of the target scene and the human physiological indicators corresponding to each family member at each collection time point. The air quality indicators include CO2 concentration and PM2.5 concentration, and the human physiological indicators include heart rate, skin temperature and sweat secretion. Step 2: Analysis of Indicators: Based on the air quality indicators corresponding to each space in the target scene indoors at each collection time point and the human physiological indicators corresponding to each family member, the air quality indicators corresponding to each space in the target scene indoors at each collection time point and the human physiological indicators corresponding to each family member are analyzed to obtain the air quality assessment coefficient and human physiological assessment coefficient corresponding to each space in the target scene indoors at each collection time point. The air quality indicators of each space in the target scene's indoor environment at each collection time point are analyzed. The specific analysis process is as follows: The CO2 and PM2.5 concentrations in each space within the target scene at each collection time point are recorded as follows: and ,in, This indicates the number corresponding to each data collection time point. , This indicates the corresponding number for each space. Let n be any integer greater than 2, and u be any integer greater than 2. Substitute them into the calculation formula. In this process, the air quality assessment coefficients for each space within the target scene's indoor environment at each data collection time point are obtained. ,in, , These are the standard CO2 concentration and standard PM2.5 concentration corresponding to the specified space. , These are the weighting factors corresponding to the set spatial CO2 concentration and PM2.5 concentration, respectively. The analysis of human physiological indicators corresponding to each family member in each space within the target scene at each collection time point is as follows: The heart rate, skin temperature, and sweat secretion of each family member in each space within the target scene at each collection time point were recorded as follows: , and ,in, This indicates the number corresponding to each family member. m is any integer greater than 2. Substitute it into the calculation formula. In this process, the human physiological assessment coefficients corresponding to each space in the target scene's indoor environment at each collection time point were obtained. ,in, , , These are the standard heart rate, standard skin temperature, and standard sweat secretion levels for each family member. , , These are the weighting factors corresponding to the heart rate, skin temperature, and sweat secretion of family members, respectively. Step 3: Obtaining the comfort assessment coefficient: Based on the air quality assessment coefficient and human physiological assessment coefficient of each space in the target scene at each collection time point, the comfort assessment coefficient of each space in the target scene at each collection time point is obtained. The process for obtaining the comfort evaluation coefficients for each space within the target scene at each collection time point is as follows: The air quality assessment coefficients for each space within the target scene at each data collection time point. and human physiological assessment coefficient Substitute into the calculation formula In this process, the comfort evaluation coefficients corresponding to each space in the target scene's indoor environment at each data collection time point are obtained. ,in, , These are the weighting factors corresponding to the set spatial air quality assessment coefficient and human physiological assessment coefficient, respectively. Step 4: Automatic adjustment of comfort temperature: Based on the comfort evaluation coefficients of each space in the target scene at each collection time point, the comfort temperature of each space in the target scene at each collection time point is analyzed, and the comfort temperature of each space in the target scene at each collection time point is automatically adjusted according to the corresponding comfort temperature. Step 5: Acquisition of environmental parameters: Collect the corresponding outdoor environmental parameters of each space in the target scene at each collection time point. The environmental parameters include light intensity, solar radiation angle and outdoor temperature. Step Six: Automatic Adjustment of Curtain Opening and Closing Degree: Based on the environmental parameters corresponding to the outdoor environment of each space in the target scene at each collection time point, the environmental parameters corresponding to the outdoor environment of each space in the target scene at each collection time point are analyzed to obtain the environmental evaluation coefficient corresponding to the outdoor environment of each space in the target scene at each collection time point. Then, the curtain opening and closing degree corresponding to the indoor curtains in each space in the target scene at each collection time point is analyzed, and the indoor curtains in each space in the target scene at each collection time point are automatically adjusted according to the corresponding curtain opening and closing degree.

2. The temperature control method based on a smart terminal as described in claim 1, characterized in that, The analysis of the comfort temperature corresponding to each space in the target scene's indoor environment at each data collection time point is as follows: The comfort evaluation coefficients corresponding to each space in the target scene's indoor space at each collection time point are compared with the comfort evaluation coefficients corresponding to each comfort temperature in the database. If the comfort evaluation coefficient corresponding to a certain space in the target scene's indoor space at a certain collection time point is the same as the comfort evaluation coefficient corresponding to a certain comfort temperature in the database, then the comfort temperature corresponding to that comfort evaluation coefficient in the database is taken as the comfort temperature corresponding to that space in the target scene's indoor space at that collection time point. This method is used to analyze the comfort temperature corresponding to each space in the target scene's indoor space at each collection time point.

3. The temperature control method based on a smart terminal as described in claim 1, characterized in that, The environmental parameters corresponding to each outdoor space in the target scene at each collection time point are analyzed. The specific analysis process is as follows: The outdoor light intensity, solar radiation angle, and outdoor temperature of each space in the target scene at each data collection time point are recorded as follows: , and ,in, This indicates the number corresponding to each data collection time point. , This indicates the corresponding number for each space. Let n be any integer greater than 2, and u be any integer greater than 2. Substitute them into the calculation formula. In this process, the environmental assessment coefficients corresponding to the outdoor environmental parameters of each space in the target scene at each collection time point are obtained. ,in, , , These are the standard outdoor light intensity, standard solar radiation angle, and standard outdoor temperature corresponding to the set space. , , These are the weighting factors corresponding to the set outdoor light intensity, solar radiation angle, and outdoor temperature.

4. The temperature control method based on a smart terminal as described in claim 3, characterized in that, The analysis of the curtain opening / closing degree of each indoor curtain in the target scene at each data collection time point is as follows: The environmental assessment coefficients corresponding to the outdoor spaces of each space in the target scene at each collection time point are compared with the environmental assessment coefficients corresponding to the opening and closing of each curtain in the database. If the environmental assessment coefficient corresponding to the outdoor spaces of a certain space in the target scene at a certain collection time point is the same as the environmental assessment coefficient corresponding to the opening and closing of a certain curtain in the database, then the opening and closing of the curtain corresponding to the environmental assessment coefficient in the database is taken as the opening and closing of the curtain corresponding to the indoor curtain in the target scene at that collection time point. The opening and closing of the curtain corresponding to the indoor curtain in each space of the target scene at each collection time point is analyzed in this way.

5. A temperature control system based on a smart terminal that implements the temperature control method based on a smart terminal according to any one of claims 1-4, characterized in that, include: The indicator acquisition module is used to set several collection time points in the target scene, and then collect the air quality indicators corresponding to each space in the indoor space of the target scene and the human physiological indicators corresponding to each family member at each collection time point. The air quality indicators include CO2 concentration and PM2.5 concentration, and the human physiological indicators include heart rate, skin temperature and sweat secretion. The indicator analysis module is used to analyze the air quality indicators and human physiological indicators of each family member in the target scene indoors at each collection time point based on the air quality indicators and human physiological indicators of each family member in the target scene indoors at each collection time point, and obtain the air quality assessment coefficient and human physiological assessment coefficient of each space in the target scene indoors at each collection time point. The comfort assessment coefficient acquisition module is used to obtain the comfort assessment coefficient of each space in the target scene at each collection time point based on the air quality assessment coefficient and human physiological assessment coefficient of each space in the target scene at each collection time point. The automatic adjustment module for comfortable temperature is used to analyze the comfortable temperature of each space in the target scene at each collection time point based on the comfort evaluation coefficient of each space in the target scene at each collection time point, and then automatically adjust each space in the target scene at each collection time point according to the corresponding comfortable temperature. Environmental parameter acquisition module: used to collect the corresponding outdoor environmental parameters of each space in the target scene at each collection time point. The environmental parameters include light intensity, solar radiation angle and outdoor temperature. The automatic curtain opening / closing adjustment module is used to analyze the corresponding outdoor environmental parameters of each space in the target scene at each collection time point, obtain the corresponding environmental evaluation coefficient of each space in the target scene at each collection time point, and then analyze the curtain opening / closing degree of each space in the target scene at each collection time point, and automatically adjust the curtains of each space in the target scene at each collection time point according to the corresponding curtain opening / closing degree.

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