Environment control method and system based on wind speed sensitivity

Abstract

The invention discloses an environment control method and system based on wind speed sensitivity, and the method comprises the steps: carrying out the weakness grade division (non-weakness, weakness early stage and weakness) of old people according to a Fried weakness phenotype; secondly, through a subjective thermal sensation voting (TSV) experiment, personalized wind speed threshold models of old people with different weakness levels under various operation temperatures are established; then, monitoring the head skin temperature and the sweat amount of the user in real time by using an infrared thermal imager and a skin conductivity sensor; and finally, based on the real-time physiological data, the environment temperature and a preset wind speed threshold model, the wind speed of the fan is controlled through a dynamic adjustment algorithm, an attenuation mode is started when the wind speed is close to a tolerance threshold, and meanwhile the environment temperature is cooperatively adjusted. According to the invention, precise and dynamic environment regulation and control of the elderly, especially the weak elderly in the early stage is realized, the thermal comfort is effectively improved, discomfort caused by too strong wind speed is avoided, and the system is especially suitable for the scenes such as nursing homes and apartments for the elderly.

Description

Technical Field

[0001] This invention relates to the field of heating, ventilation, air conditioning and healthy building technology, specifically to an environmental control method and system based on wind speed sensitivity. Background Technology

[0002] Fans are common environmental control devices in daily life. Traditional control methods rely on users manually setting fixed fan speeds or simple temperature sensors. Traditional fan systems use a fixed fan speed strategy, ignoring significant physiological differences (such as frailty) among the elderly. There are several mainstream definitions of frailty. A classic one is the frailty phenotype (FFP) proposed by Fried et al., which assesses the overall clinical manifestations of unconscious weight loss, increased fatigue, decreased grip strength, slower walking speed, and decreased physical activity levels in the elderly. An elderly person is classified into a certain level of frailty based on the number of five frailty characteristics: meeting three or more characteristics indicates frailty; meeting one or two characteristics indicates pre-frailty; and meeting none indicates non-frailty.

[0003] Studies have shown that frail elderly individuals have poor tolerance to high wind speeds (>0.8 m / s), although higher airflow can improve thermal comfort for older adults. However, frail elderly individuals have a shorter tolerance time for higher wind speeds. Furthermore, while healthy older adults may subjectively tolerate higher temperatures and stronger winds, this places significant demands and challenges on their physiological systems, requiring more sweating and a stronger thermoregulatory response. Simultaneously, higher wind speeds around the head can easily trigger dizziness, headaches, and other discomfort. Under the same conditions, non-frail older adults have a higher demand for wind speed, while frail elderly individuals are significantly more sensitive to it. Physiologically, the head receptors in older adults still function normally, similar to those in younger people. However, compared to non-frail older adults, frail elderly individuals have slightly lower cardiovascular regulatory capacity and lower immune levels.

[0004] Some studies suggest that while older adults may have a diminished overall response to comfort, their physiological susceptibility to harmful environmental conditions remains similar to that of younger adults (including pre-frail and non-frail older adults) when comfort levels affect health (potentially triggering discomfort, colds, or other problems). Therefore, in summary, the weaker thermoregulation in pre-frail older adults, coupled with normally functioning thermoreceptors, makes their heads more sensitive and prone to discomfort.

[0005] Typically, fans adjust their cooling operation based on pre-set fan speeds. However, these pre-set speeds are often based on user habits and may not be truly suitable for the user. For example, when an elderly user turns on the sweeping mode and runs at a fixed speed for a period of time, their head becomes more sensitive to airflow, which can easily cause discomfort. Therefore, by collecting real-time data on the user's scalp temperature and perspiration, the appropriate real-time fan speed can be calculated. This allows the fan to adjust the speed more flexibly, increasing user comfort.

[0006] Existing environmental control systems lack multimodal data fusion (subjective perception + physiological parameters), ignore significant physiological differences among the elderly population, and cannot dynamically adapt to individual needs. Summary of the Invention

[0007] The purpose of this invention is to provide a wind speed-sensitive environmental control method, comprising the following steps:

[0008] Step 1) Collect the thermal sensations of elderly people with different levels of frailty at different operating temperatures and under different wind speed conditions, determine the wind speed thresholds at different operating temperatures and different levels of frailty, and construct a wind speed threshold matrix.

[0009] Step 2) Determine the current frailty status of the elderly user and the operating temperature, and determine the wind speed threshold x0 of the current elderly user at the current operating temperature through the wind speed threshold matrix;

[0010] Step 3) Construct wind speed-thermal sensation fitting models for elderly people with different levels of frailty at different operating temperatures;

[0011] Step 4) Based on the current frailty state of the elderly user and the operating temperature, input the thermal sensation y=[-0.5,0.5] into the corresponding wind speed-thermal sensation fitting model to obtain the comfortable wind speed range x=[x min x max ];

[0012] Step 5) Monitor the indoor ambient temperature. If the indoor ambient temperature is greater than the preset temperature threshold, control the fan to operate in cooling mode; otherwise, control the fan speed to operate in heating mode. If the fan is operating in cooling mode, proceed to step 6; otherwise, proceed to step 7.

[0013] Step 6) Using a comfortable wind speed range x = [x min x max With the wind speed threshold x0 as a constraint, the first adjustment strategy is used to adjust the fan speed, and then proceed to step 8).

[0014] Step 7) Using a comfortable wind speed range x = [x minx max With the wind speed threshold x0 as a constraint, the second adjustment strategy is used to adjust the fan speed, and then proceed to step 8).

[0015] Step 8) After cycle T, re-monitor the operating temperature and return to step 4).

[0016] Furthermore, the frailty level of older adults was determined based on the Fried frailty phenotype index, which includes weight loss, increased fatigue, decreased grip strength, slower walking speed, and decreased physical activity level in older adults.

[0017] The frailty level of older adults includes pre-frailty and non-frailty. Pre-frailty refers to meeting one or two Fried frailty phenotype indicators, while non-frailty refers to not meeting the Fried frailty phenotype indicators.

[0018] Unexplained weight loss refers to a loss of at least 10 pounds or more than 5% of one's weight without any apparent cause within the past year.

[0019] Weak grip strength means that the current grip strength is less than the lowest grip strength in the past year, and the difference between the two is greater than the preset grip strength reduction value;

[0020] Self-reported fatigue was identified using the Epidemiological Research Center Depression Scale;

[0021] Slower walking speed means that the current time to walk 15 feet is less than the lowest time to walk 15 feet in the past year, and the difference between the two is greater than the preset slower walking speed value.

[0022] Low activity level means that the weekly weighted score of kilocalories consumed is less than the weekly weighted score of kilocalories consumed in the past year, and the difference between the two is greater than the preset activity level reduction value.

[0023] Furthermore, the operating temperatures include 28℃, 30℃, and 32℃. These operating temperatures refer to the air conditioning operating temperatures.

[0024] Furthermore, in the wind speed-thermal sensation fitting model of elderly people with different levels of frailty at different operating temperatures:

[0025] The wind speed-thermal sensation fitting model for elderly individuals in the pre-frail stage at an operating temperature of 28℃ is denoted as y=1.52x+0.86; where y represents thermal sensation and x represents wind speed.

[0026] The wind speed-thermal sensation fitting model for elderly people in the early stage of frailty at an operating temperature of 28℃ is denoted as y=1.94x+0.73;

[0027] The wind speed-thermal sensation fitting model for elderly people in the pre-frail stage at an operating temperature of 30℃ is denoted as y=1.84x+1.37;

[0028] The wind speed-thermal sensation fitting model for elderly people in the early stage of frailty at an operating temperature of 30℃ is denoted as y=1.56x+1;

[0029] The wind speed-thermal sensation fitting model for elderly individuals in the pre-frail stage at an operating temperature of 32℃ is denoted as y=1.81x+1.72; where y represents thermal sensation and x represents wind speed.

[0030] The wind speed-thermal sensation fitting model for elderly people in the early stage of frailty at an operating temperature of 32℃ is denoted as y=-1.46x+1.2.

[0031] Furthermore, the steps of adjusting the fan speed using the first adjustment strategy include: adjusting the fan speed v to make the fan speed v greater than the fan speed threshold x0;

[0032] Determine whether the adjusted fan speed v is within the comfortable fan speed range. x=[x min x max If not, then let v = xmax.

[0033] Furthermore, the steps for adjusting the fan speed using the first adjustment strategy include: the fan speed decreases as the temperature decreases; the fan speed... .

[0034] Furthermore, the steps for adjusting the fan speed using the second adjustment strategy include: the fan speed decreasing as the temperature increases; the fan speed... .

[0035] Furthermore, it monitors the scalp temperature and perspiration of elderly users in real time;

[0036] The thermal comfort level is determined based on the elderly user's scalp temperature and perspiration. If the thermal comfort level is considered too warm and the first adjustment strategy is adopted, the fan speed is increased by an amount equal to [missing value]. If the thermal comfort setting is warm and the second adjustment strategy is used, then reduce the fan speed by the amount of reduction. ;

[0037] The thermal comfort level is determined based on the elderly user's scalp temperature and perspiration. If the thermal comfort level is too cold and the first adjustment strategy is used, the fan speed is reduced by a certain amount. If the thermal comfort setting is on the colder side and the second adjustment strategy is adopted, then the fan speed should be increased by an amount equal to [missing value]. ;

[0038] In cooling mode, the fan speed is increased when the user is overheating, and the fan speed is decreased when the user is overcooling in heating mode. The increased or decreased fan speed is the fan speed during operation, ensuring that the fan speed is adjusted within the appropriate fan speed threshold determined above during operation.

[0039] Furthermore, the temperature of the scalp was obtained by monitoring with an infrared thermal imager;

[0040] The amount of sweat produced by the body is reflected by skin conductivity; skin conductivity is monitored by a skin conduction device.

[0041] The fan body integrates an infrared thermal imager; the skin conduction device is worn on the wrist of elderly users.

[0042] A system based on the wind speed-sensitive environmental control method includes an acquisition module, a wind speed constraint setting module, and an adjustment module;

[0043] The acquisition module collects the thermal sensations of elderly people with different levels of frailty at different operating temperatures and under different wind speed conditions, determines the wind speed thresholds at different operating temperatures and different levels of frailty, and constructs a wind speed threshold matrix.

[0044] The wind speed constraint setting module determines the current frailty state of the elderly user and the operating temperature, and determines the wind speed threshold x0 of the current elderly user at the current operating temperature through the wind speed threshold matrix.

[0045] The wind speed constraint setting module stores wind speed-thermal sensation fitting models for elderly people with different levels of frailty at different operating temperatures.

[0046] The wind speed constraint setting module, based on the current frailty state of the elderly user and the operating temperature, inputs the thermal sensation y=[-0.5,0.5] into the corresponding wind speed-thermal sensation fitting model to obtain the comfortable wind speed range x=[x min x max ];

[0047] The adjustment module monitors the indoor ambient temperature. If the indoor ambient temperature is greater than the temperature threshold, the fan is controlled to operate in cooling mode; otherwise, the fan speed is controlled to operate in heating mode.

[0048] When the fan is in cooling mode, the adjustment module adjusts the airflow to a comfortable range of x=[x min x max With the wind speed threshold x0 as constraints, the first adjustment strategy is used to adjust the fan speed;

[0049] When the fan is in heating mode, the adjustment module adjusts the airflow to a comfortable range of x=[x min x max With the wind speed threshold x0 as constraints, the second adjustment strategy is used to adjust the fan speed.

[0050] The technical effectiveness of this invention is undeniable. By establishing a wind speed threshold model specifically for the elderly and combining it with real-time physiological monitoring and dynamic adjustment strategies, this invention achieves coordinated control of wind speed and temperature.

[0051] The beneficial effects of this invention are as follows:

[0052] 1. Specifically adapted to the physiological characteristics of the elderly, the design of a differentiated threshold for frailty levels solves the problem of neglecting individual differences in wind speed regulation;

[0053] 2. Real-time monitoring combined with rapid adjustment avoids discomfort caused by excessive head blowing or temperature fluctuations;

[0054] 3. The temperature and wind speed coordinated regulation mechanism improves the accuracy of thermal comfort control, making it especially suitable for scenarios such as nursing homes and senior apartments. Attached Figure Description

[0055] Figure 1 For flowcharts;

[0056] Figure 2 This describes a linear fitting method between wind speed and TSV (thermal sensory vote) under different temperature backgrounds. Detailed Implementation

[0057] The present invention will be further described below with reference to embodiments, but it should not be construed that the scope of the present invention is limited to the following embodiments. Various substitutions and modifications made based on ordinary technical knowledge and common practices in the art without departing from the above-described technical concept of the present invention should be included within the scope of protection of the present invention.

[0058] Example 1:

[0059] See Figures 1-2 A wind speed-sensitive environmental control method includes the following steps:

[0060] Step 1) Collect the thermal sensations of elderly people with different levels of frailty at different operating temperatures and under different wind speed conditions, determine the wind speed thresholds at different operating temperatures and different levels of frailty, and construct a wind speed threshold matrix.

[0061] Step 2) Determine the current frailty status of the elderly user and the operating temperature, and determine the wind speed threshold x0 of the current elderly user at the current operating temperature through the wind speed threshold matrix;

[0062] Step 3) Construct wind speed-thermal sensation fitting models for elderly people with different levels of frailty at different operating temperatures;

[0063] Step 4) Based on the current frailty state of the elderly user and the operating temperature, input the thermal sensation y=[-0.5,0.5] into the corresponding wind speed-thermal sensation fitting model to obtain the comfortable wind speed range x=[x min x max ];

[0064] Step 5) Monitor the indoor ambient temperature. If the indoor ambient temperature is greater than the preset temperature threshold (set by the user), control the fan to operate in cooling mode; otherwise, control the fan speed to operate in heating mode. If the fan is operating in cooling mode, proceed to step 6; otherwise, proceed to step 7.

[0065] Step 6) Using a comfortable wind speed range x = [x min x max With the wind speed threshold x0 as a constraint, the first adjustment strategy is used to adjust the fan speed, and then proceed to step 8).

[0066] Step 7) Using a comfortable wind speed range x = [x min x max With the wind speed threshold x0 as a constraint, the second adjustment strategy is used to adjust the fan speed, and then proceed to step 8).

[0067] Step 8) After cycle T, re-monitor the operating temperature and return to step 4).

[0068] Example 2:

[0069] A wind speed-sensitive environmental control method, with the same technical content as in Example 1, further wherein the frailty level of the elderly is determined according to the Fried frailty phenotype index; the Fried frailty phenotype index includes weight loss, increased fatigue, decreased grip strength, slower walking speed, and decreased physical activity level in the elderly.

[0070] The frailty level of older adults includes pre-frailty and non-frailty. Pre-frailty refers to meeting one or two Fried frailty phenotype indicators, while non-frailty refers to not meeting the Fried frailty phenotype indicators.

[0071] Unexplained weight loss: a loss of at least 10 pounds or more than 5% of body weight without any apparent cause within the past year;

[0072] Weakened grip strength: Grip strength is at its lowest level of 20%.

[0073] Self-reported fatigue: identified by two questions from the Spanish version of the 10-item scale adapted from the Center for Epidemiological Research Depression Scale;

[0074] Slow walking: The time taken to walk 15 feet is in the slowest 20%.

[0075] Low activity level: The weighted score of weekly kilocalories consumed was in the lowest 20%, based on participant reports and gender adjusted for validation results from the Spanish version of the Minnesota Leisure Time Activity Questionnaire.

[0076] A state is considered frailty when three or more of the following frailty features are met; a state is considered pre-frailty when one or two frailty features are met; and a state is considered non-frailty when none of the frailty features are met.

[0077] Example 3:

[0078] A wind speed-sensitive environmental control method, with the same technical content as any one of Embodiments 1-2, further wherein the operating temperature includes 28℃, 30℃, and 32℃. The operating temperature is the air conditioning operating temperature.

[0079] Example 4:

[0080] A wind speed-sensitive environmental control method, with the same technical content as any one of Examples 1-3, further includes a wind speed-thermal sensation fitting model for elderly people with different levels of frailty at different operating temperatures:

[0081] The wind speed-thermal sensation fitting model for elderly individuals in the pre-frail stage at an operating temperature of 28℃ is denoted as y=1.52x+0.86; where y represents thermal sensation and x represents wind speed.

[0082] The wind speed-thermal sensation fitting model for elderly people in the early stage of frailty at an operating temperature of 28℃ is denoted as y=1.94x+0.73;

[0083] The wind speed-thermal sensation fitting model for elderly people in the pre-frail stage at an operating temperature of 30℃ is denoted as y=1.84x+1.37;

[0084] The wind speed-thermal sensation fitting model for elderly people in the early stage of frailty at an operating temperature of 30℃ is denoted as y=1.56x+1;

[0085] The wind speed-thermal sensation fitting model for elderly individuals in the pre-frail stage at an operating temperature of 32℃ is denoted as y=1.81x+1.72; where y represents thermal sensation and x represents wind speed.

[0086] The wind speed-thermal sensation fitting model for elderly people in the early stage of frailty at an operating temperature of 32℃ is denoted as y=-1.46x+1.2.

[0087] Example 5:

[0088] A wind speed-sensitive environmental control method, with technical content identical to any one of embodiments 1-4, further wherein the initial wind speed when the fan is first started is typically set to a midpoint or slightly upper limit within a preset wind speed threshold range corresponding to the difference between the current indoor temperature and the set target temperature, in order to quickly respond to temperature control requirements. The relationship between the adjusted wind speed and the wind speed threshold is not a fixed formula, but rather dynamically follows two adjustment strategies based on the "direction of temperature change," always maintaining it within the threshold range corresponding to the current temperature.

[0089] The steps for adjusting the fan speed using the first adjustment strategy include: adjusting the fan speed v to make the fan speed v greater than the fan speed threshold x0;

[0090] Determine whether the adjusted fan speed v is within the comfortable fan speed range. x=[x min x max If not, then let v = xmax.

[0091] Example 6:

[0092] A wind speed-sensitive environmental control method, with the same technical content as any one of embodiments 1-5, further comprising the step of adjusting the fan speed using a first adjustment strategy, including: the fan speed decreasing as the temperature decreases; the fan speed... .

[0093] Example 7:

[0094] A wind speed-sensitive environmental control method, with the same technical content as any one of embodiments 1-6, further comprising the step of adjusting the fan speed using a second adjustment strategy, including: the fan speed decreasing as the temperature increases; the fan speed... .

[0095] Example 8:

[0096] A wind speed-sensitive environmental control method, with the same technical content as any one of embodiments 1-7, further includes real-time monitoring of the head skin temperature and body perspiration of elderly users;

[0097] The thermal comfort level is determined based on the elderly user's scalp temperature and perspiration. If the thermal comfort level is considered too warm and the first adjustment strategy is adopted, the fan speed is increased by an amount equal to [missing value]. If the thermal comfort setting is warm and the second adjustment strategy is used, then reduce the fan speed by the amount of reduction. ;

[0098] The thermal comfort level is determined based on the elderly user's scalp temperature and perspiration. If the thermal comfort level is too cold and the first adjustment strategy is used, the fan speed is reduced by a certain amount. If the thermal comfort setting is on the colder side and the second adjustment strategy is adopted, then the fan speed should be increased by an amount equal to [missing value]. ;

[0099] In cooling mode, the fan speed is increased when the user is overheating, and the fan speed is decreased when the user is overcooling in heating mode. The increased or decreased fan speed is the fan speed during operation, ensuring that the fan speed is adjusted within the appropriate fan speed threshold determined above during operation.

[0100] Example 9:

[0101] A wind speed-sensitive environmental control method, with the same technical content as any one of Examples 1-8, further wherein the head skin temperature is obtained by monitoring an infrared thermal imager;

[0102] The amount of sweat produced by the body is reflected in skin conductivity, which is monitored using a skin conduction device. There is a positive correlation between the amount of sweat and skin conductivity. When the body sweats due to factors such as exercise, high temperature, or emotional stress, the sweat secreted by the sweat glands increases the moisture and electrolyte content on the skin surface. Moisture and electrolytes are good conductors of electricity; their increased content directly reduces skin resistance, thus leading to an increase in skin conductivity. Conversely, when sweat production decreases, the skin surface becomes drier, resistance increases, and skin conductivity decreases.

[0103] The fan body integrates an infrared thermal imager; the skin conduction device is worn on the wrist of elderly users.

[0104] Example 10:

[0105] A system based on the wind speed-sensitive environmental control method described in any one of embodiments 1-9 includes an acquisition module, a wind speed constraint setting module, and an adjustment module;

[0106] The acquisition module collects the thermal sensations of elderly people with different levels of frailty at different operating temperatures and under different wind speed conditions, determines the wind speed thresholds at different operating temperatures and different levels of frailty, and constructs a wind speed threshold matrix.

[0107] The wind speed constraint setting module determines the current frailty state of the elderly user and the operating temperature, and determines the wind speed threshold x0 of the current elderly user at the current operating temperature through the wind speed threshold matrix.

[0108] The wind speed constraint setting module stores wind speed-thermal sensation fitting models for elderly people with different levels of frailty at different operating temperatures.

[0109] The wind speed constraint setting module, based on the current frailty state of the elderly user and the operating temperature, inputs the thermal sensation y=[-0.5,0.5] into the corresponding wind speed-thermal sensation fitting model to obtain the comfortable wind speed range x=[xmin x max ];

[0110] The adjustment module monitors the indoor ambient temperature. If the indoor ambient temperature is greater than the temperature threshold, the fan is controlled to operate in cooling mode; otherwise, the fan speed is controlled to operate in heating mode.

[0111] When the fan is in cooling mode, the adjustment module adjusts the airflow to a comfortable range of x=[x min x max With the wind speed threshold x0 as constraints, the first adjustment strategy is used to adjust the fan speed;

[0112] When the fan is in heating mode, the adjustment module adjusts the airflow to a comfortable range of x=[x min x max With the wind speed threshold x0 as constraints, the second adjustment strategy is used to adjust the fan speed.

[0113] Example 11:

[0114] A wind speed-sensitive environmental control method includes the following steps:

[0115] First, the frailty level of the elderly is assessed by inputting the Fried frailty phenotype index, which then determines the frailty level corresponding to the aforementioned frailty stages (pre-frailty, frailty, and non-frailty). Next is the data acquisition module, primarily for real-time monitoring of environmental parameter changes. Firstly, the Subjective Thermal Sensing (TSV) module collects data on the thermal sensations of elderly individuals with different frailty levels under operating temperatures of 28℃, 30℃, and 32℃ at different wind speeds, establishing wind speed thresholds accordingly. Then, local skin temperature and perspiration are measured, primarily using an infrared thermal imager for directional head monitoring, with perspiration volume monitored by a skin conductivity sensor. Finally, the appropriate wind speed range is calculated using these parameters, mainly through subjective voting data combined with linear and nonlinear fitting results at different wind speeds, to determine suitable wind speed ranges for two types of elderly individuals (non-frail elderly and pre-frailty elderly). During the fitting process, comfort, satisfaction, and preference voting data of the elderly under different wind speed conditions are considered to provide clearer wind speed regulation control. This data guides the fan speed and continuously monitors the elderly person's tolerance time during the air supply process. When the speed approaches the warning threshold, the fan speed attenuation mode is activated. The specific operation process is shown in the figure below.

[0116] The specific steps are as follows:

[0117] The wind speed control range described in S1 is mainly collected by the subjective thermal sensation module (TSV) based on the thermal sensations of elderly people with different levels of frailty at operating temperatures of 28℃, 30℃, and 32℃, under different wind speed conditions, and the wind speed threshold is established accordingly.

[0118] During operation, the fan described in S2 monitors user parameters in real time using an infrared thermal imager and a skin conduction device, adjusts the wind speed according to a preset algorithm, and also determines whether the adjusted set wind speed is greater than the wind speed threshold corresponding to the head's sensitive comfort range.

[0119] The comfortable wind speed range described in S3 is calculated through linear fitting between wind speed and TSV (Thermal Sensation Voting) under different temperature backgrounds, as well as wind speed ranges calculated based on different thresholds. These formulas and boundary values ​​provide data support for determining the wind speed range suitable for thermal comfort in older adults, and can guide more precise indoor environment regulation strategies. The calculation formulas and fitting methods are shown in the figure.

[0120] S4 When the fan is in cooling mode, the current set wind speed is adjusted according to a preset algorithm based on a first adjustment strategy. The first adjustment strategy is to reduce the wind speed corresponding to the head sensitive comfort range as the indoor temperature decreases, wherein the adjusted set wind speed is within the wind speed threshold corresponding to the head sensitive comfort range.

[0121] S5 When the indoor environment is below the temperature threshold, the fan needs to reduce its speed. Based on the second adjustment strategy, the current set speed is adjusted according to a preset algorithm. The second adjustment strategy is to reduce the wind speed corresponding to the head's sensitive comfort range as the indoor temperature increases. The adjusted set speed is within the wind speed threshold corresponding to the head's sensitive comfort range.

[0122] S6 Preferably, after the step of obtaining the user's thermal sensation at the currently set fan speed when the fan is operating, the method further includes:

[0123] Obtain the set temperature of the fan at the current set wind speed;

[0124] After step S7, which describes determining the head's sensitive comfort range where the thermal sensation is located, the method further includes:

[0125] The fan's set temperature is adjusted according to the scalp temperature and amount of sweating.

[0126] The wind speed regulation device based on user thermal sensation described in S8 includes:

[0127] The acquisition module is used to acquire the user's thermal sensation at the current set fan speed when the fan is in working mode;

[0128] The determination module is used to determine whether the wind speed determined by the thermal sensation is within the wind speed threshold corresponding to the head's sensitive comfort range;

[0129] The adjustment module is used to adjust the set wind speed according to a preset algorithm, wherein the adjusted set wind speed is within the wind speed threshold corresponding to the head's sensitive comfort range.

[0130] Preferably, the adjustment module includes:

[0131] The processing unit is used to obtain the change in the fan speed based on the set wind speed and the preset value;

[0132] An adjustment unit is used to adjust the current set wind speed according to the difference between the set wind speed and the wind speed change, so as to obtain the adjusted set wind speed.

[0133] Preferably, the wind speed regulation device based on user thermal sensation further includes:

[0134] The judgment module is used to calculate the adjusted set wind speed according to a preset algorithm and to determine whether the adjusted set wind speed is greater than the wind speed threshold corresponding to the head sensitive comfort range.

[0135] The processing module is configured to, if the adjusted set wind speed is greater than the wind speed threshold corresponding to the head's sensitive comfort range, use the wind speed threshold corresponding to the head's sensitive comfort range as the adjusted set wind speed.

[0136] Example 12:

[0137] A wind speed-sensitive environmental control method

[0138] By pre-establishing a wind speed sensitivity threshold model for the elderly, and combining it with real-time physiological parameter monitoring and ambient temperature detection, targeted adjustment strategies are adopted in different fan operating modes to achieve coordinated dynamic control of wind speed and temperature. The overall process includes four core stages: wind speed threshold establishment, real-time parameter monitoring, dynamic wind speed adjustment, and coordinated temperature adjustment. Each stage is modularly designed to enable data interaction and control command transmission.

[0139] The specific steps are as follows:

[0140] First, the Subjective Thermal Sensing (TSV) module was used. The TSV module acquired basic data through a structured experiment: 30 elderly subjects with different levels of frailty (classified as mild, moderate, and severe according to the Medical Frailty Scale) were selected. Three operating temperature environments of 28℃, 30℃, and 32℃ were simulated in an artificial climate chamber. During the experiment, four wind speed conditions were set sequentially: 0.3 m / s, 0.6 m / s, 0.9 m / s, and 1.2 m / s. After each condition was stably operated for 30 minutes, the subjects' thermal sensation votes were collected using the TSV scale (-3 to +3 points, -3 being extremely cold, 0 being neutral, and +3 being extremely hot) to obtain the wind speed threshold.

[0141] Statistical analysis was performed on the collected data: A scatter plot of wind speed was plotted with operating temperature on the horizontal axis and wind speed on the vertical axis, grouped by frailty level, corresponding to TSV=±0.5 (comfort zone boundary). Linear regression was used to establish wind speed threshold formulas for each group at different temperatures. For example, for mildly frail elderly individuals, the comfortable wind speed threshold is 0.4~0.8 m / s at 28℃; at 32℃, the threshold expands to 0.7~1.1 m / s. Finally, a wind speed threshold matrix covering both temperature and frailty level variables was formed and stored in the fan control chip's database.

[0142] The fan body integrates an infrared thermal imager (sampling frequency 1 time / 30 seconds) to capture the skin temperature distribution on the user's head; the matching skin conduction device (worn on the wrist) collects skin conduction values ​​in real time (reflecting the amount of sweat), and the data is transmitted to the fan's main control module via Bluetooth.

[0143] The pre-set algorithm processes monitoring data in real time: When the infrared thermal imager detects a head skin temperature higher than 36.5℃ and an increase in skin conductivity, it determines that the user is experiencing heat discomfort. Combined with the current indoor temperature (obtained by the fan's built-in temperature sensor), it calls the corresponding wind speed threshold at that temperature and adjusts the current wind speed proportionally. For example, if the current indoor temperature is 30℃ and the original wind speed is 1.0 m / s, and heat discomfort is detected and the upper limit of the threshold for 30℃ is 0.9 m / s, it will automatically be lowered to 0.8 m / s. Immediately after adjustment, a threshold verification is triggered. If the adjusted wind speed exceeds the head's sensitive comfort range (e.g., due to algorithm fluctuations causing the wind speed of 0.8 m / s to be incorrectly calculated as 1.0 m / s), it will be forcibly reverted to the upper threshold.

[0144] Based on the experimental data from step S1, the least squares method was used for linear fitting: with wind speed as the independent variable (x) and TSV value as the dependent variable (y), a fitting equation y=kx+b was established for different temperatures (e.g., y=0.5x-1.2 at 28℃). The wind speed value corresponding to TSV=0 (neutral comfort) was deduced from the equation and used as the benchmark comfortable wind speed at that temperature.

[0145] Using TSV = -0.5 to +0.5 as the comfort range, the corresponding upper and lower limits of wind speed are calculated by substituting these values ​​into the fitted equation. For example, at 28℃, TSV = +0.5 corresponds to a wind speed of 0.9 m / s, and TSV = -0.5 corresponds to a wind speed of 0.5 m / s. Therefore, the comfortable wind speed range at 28℃ is 0.5 to 0.9 m / s. The wind speed ranges at each temperature are pre-stored as adjustment benchmarks, supporting dynamic fan recall.

[0146] The fan captures the user's head skin temperature distribution using an integrated infrared thermal imager and collects skin conductivity values ​​in real time to obtain the user's thermal sensation. After obtaining the current set temperature (e.g., blowing air at 26°C), it enters the temperature adjustment judgment process.

[0147] When the perceived heat is determined to be outside the comfortable range, the set temperature is adjusted based on scalp temperature and perspiration: If scalp temperature > 37°C and perspiration increases (skin conductivity > 20% of the baseline value), it is considered too hot; under the first adjustment strategy, the set temperature is increased by 1°C (e.g., from 26°C to 27°C), and under the second adjustment strategy, the set temperature is decreased by 1°C; if scalp temperature < 35°C and there is no perspiration, it is considered too cold; under the first adjustment strategy, the temperature is decreased by 1°C, and under the second adjustment strategy, it is increased by 1°C. After temperature adjustment, the corresponding wind speed threshold reference is updated synchronously.

[0148] Acquisition module: Receives user thermal sensation input via the health APP associated with the fan; synchronously reads the current fan speed and set temperature, and stores the data in a temporary cache.

[0149] Determine module: Call the pre-stored wind speed threshold matrix and compare the current wind speed with the threshold range under the corresponding temperature and weak level.

[0150] Adjustment module: The processing unit calculates the adjustment amount based on the over-limit range. The adjustment unit adjusts the wind speed by changing the speed of the fan blades driven by the motor. After adjustment, the confirmation module is triggered again for verification until the wind speed is within the threshold.

Claims

1. A wind speed-sensitive environmental control method, characterized in that, Includes the following steps: Step 1) Collect the thermal sensations of elderly people with different levels of frailty at different operating temperatures and under different wind speed conditions, determine the wind speed thresholds at different operating temperatures and different levels of frailty, and construct a wind speed threshold matrix. Step 2) Determine the current frailty status of the elderly user and the operating temperature, and determine the wind speed threshold x0 of the current elderly user at the current operating temperature through the wind speed threshold matrix; Step 3) Construct wind speed-thermal sensation fitting models for elderly people with different levels of frailty at different operating temperatures; Step 4) Based on the current frailty of the elderly user and the operating temperature, adjust the heat sensor... Input the corresponding wind speed-thermal sensation fitting model to obtain the comfortable wind speed range. ; Step 5) Monitor the indoor ambient temperature. If the indoor ambient temperature is greater than the preset temperature threshold, control the fan to operate in cooling mode; otherwise, control the fan speed to operate in heating mode. If the fan is operating in cooling mode, proceed to step 6; otherwise, proceed to step 7. Step 6) Use a comfortable wind speed range and wind speed threshold To constrain the process, the first adjustment strategy is used to adjust the fan speed, and then proceed to step 8). Step 7) Use a comfortable wind speed range and wind speed threshold To constrain the flow, the second adjustment strategy is used to adjust the fan speed, and then proceed to step 8). Step 8) After cycle T, re-monitor the operating temperature and return to step 4).

2. The wind speed-sensitive environmental control method according to claim 1, characterized in that, The frailty level of older adults was determined based on the Fried frailty phenotype index, which includes weight loss, increased fatigue, decreased grip strength, slower walking speed, and decreased physical activity level in older adults. Frailty levels in older adults include pre-frailty and non-frailty. Pre-frailty refers to meeting one or two Fried frailty phenotype indicators; non-frailty refers to not meeting the Fried frailty phenotype indicators. Unexplained weight loss refers to a loss of at least 10 pounds or more than 5% of one's weight without any apparent cause within the past year. Weak grip strength means that the current grip strength is less than the lowest grip strength in the past year, and the difference between the two is greater than the preset grip strength reduction value; Self-reported fatigue was identified using the Epidemiological Research Center Depression Scale; Slower walking speed means that the current time to walk 15 feet is less than the lowest time to walk 15 feet in the past year, and the difference between the two is greater than the preset slower walking speed value. Low activity level means that the weekly weighted score of kilocalories consumed is less than the weekly weighted score of kilocalories consumed in the past year, and the difference between the two is greater than the preset activity level reduction value.

3. The wind speed-sensitive environmental control method according to claim 1, characterized in that, Operating temperatures include 28℃, 30℃, and 32℃; these are the operating temperatures of the air conditioner.

4. The wind speed-sensitive environmental control method according to claim 1, characterized in that, Wind speed-thermal sensation fitting models for elderly people with different levels of frailty at different operating temperatures: The wind speed-thermal sensation fitting model for non-frail pre-diagnostic elderly individuals at an operating temperature of 28℃ is denoted as follows: y represents thermal sensation; x represents wind speed; The wind speed-thermal sensation fitting model for elderly people in the early stage of frailty at an operating temperature of 28℃ is denoted as follows: ; The wind speed-thermal sensation fitting model for non-frail pre-diagnostic elderly individuals at an operating temperature of 30℃ is denoted as follows: ; The wind speed-thermal sensation fitting model for elderly people in the early stage of frailty at an operating temperature of 30℃ is denoted as follows: ; The wind speed-thermal sensation fitting model for non-frail pre-diagnostic elderly individuals at an operating temperature of 32℃ is denoted as follows: y represents thermal sensation; x represents wind speed; The wind speed-thermal sensation fitting model for elderly people in the early stage of frailty at an operating temperature of 32℃ is denoted as follows: .

5. The wind speed-sensitive environmental control method according to claim 1, characterized in that, The steps for adjusting the fan speed using the first adjustment strategy include: adjusting the fan speed v to make v greater than the fan speed threshold. ; Determine if the adjusted fan speed v is within the comfortable fan speed range. If not, then order .

6. The wind speed-sensitive environmental control method according to claim 1, characterized in that, The steps for adjusting the fan speed using the first adjustment strategy include: the fan speed decreases as the temperature decreases; the fan speed... .

7. The wind speed-sensitive environmental control method according to claim 1, characterized in that, The steps for adjusting the fan speed using the second adjustment strategy include: the fan speed decreases as the temperature increases; the fan speed... .

8. The wind speed-sensitive environmental control method according to claim 1, characterized in that, Real-time monitoring of elderly users' scalp temperature and perspiration; The thermal comfort level is determined based on the elderly user's scalp temperature and perspiration. If the thermal comfort level is considered too warm and the first adjustment strategy is adopted, the fan speed is increased by an amount equal to [missing value]. ; If the thermal comfort setting is warm and the second adjustment strategy is used, then reduce the fan speed by the following amount: ; The thermal comfort level is determined based on the elderly user's scalp temperature and perspiration. If the thermal comfort level is too cold and the first adjustment strategy is used, the fan speed is reduced by a certain amount. If the thermal comfort setting is on the colder side and the second adjustment strategy is adopted, then the fan speed should be increased by an amount equal to [missing value]. .

9. The wind speed-sensitive environmental control method according to claim 8, characterized in that, The temperature of the scalp skin was obtained by monitoring with an infrared thermal imager. The amount of sweat produced by the body is reflected by skin conductivity; skin conductivity is obtained through a skin conduction device. The fan body integrates an infrared thermal imager; the skin conduction device is worn on the wrist of elderly users.

10. A system based on the wind speed-sensitive environmental control method according to any one of claims 1-9, characterized in that: This includes an acquisition module, a wind speed constraint setting module, and an adjustment module; The acquisition module collects the thermal sensations of elderly people with different levels of frailty at different operating temperatures and under different wind speed conditions, determines the wind speed thresholds at different operating temperatures and different levels of frailty, and constructs a wind speed threshold matrix. The wind speed constraint setting module determines the current frailty state of the elderly user and the operating temperature, and determines the wind speed threshold for the current elderly user at the current operating temperature through the wind speed threshold matrix. ; The wind speed constraint setting module stores wind speed-thermal sensation fitting models for elderly people with different levels of frailty at different operating temperatures. The wind speed constraint setting module sets the thermal sensation based on the current frailty state of the elderly user and the operating temperature. Input the corresponding wind speed-thermal sensation fitting model to obtain the comfortable wind speed range. ; The adjustment module monitors the indoor ambient temperature. If the indoor ambient temperature is greater than the temperature threshold, the fan is controlled to operate in cooling mode; otherwise, the fan speed is controlled to operate in heating mode. When the fan is in cooling mode, the adjustment module adjusts the airflow to a comfortable range. and wind speed threshold To constrain this, the first adjustment strategy is used to adjust the fan speed; When the fan is in heating mode, the adjustment module adjusts the airflow to a comfortable range. and wind speed threshold To constrain this, a second adjustment strategy is adopted to regulate the fan speed.

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