Control method and device of intelligent fan, intelligent fan and medium

Abstract

The invention discloses a control method and device of an intelligent fan, the intelligent fan and a medium. The invention relates to the technical field of fans, and the method comprises the steps that the environment temperature and the environment humidity are collected, and the sensible temperature is calculated based on the environment temperature and the obtained current wind speed; calculating a thermal comfort score by adopting an asymmetric thermal comfort model according to the sensible temperature; calculating a wet comfort score according to the environment humidity, and determining a state type according to the wet comfort score and the thermal comfort score; and controlling the intelligent fan according to the state type, the sensible temperature, the environment humidity and the wet comfort score. The real feeling of the human body on the hot and humid environment can be accurately judged, the environmental comfort can be effectively improved, and therefore the adjusting effect of the fan is improved.

Description

Technical Field

[0001] This invention relates to the field of fan technology, and in particular to a control method, device, intelligent fan, and medium for an intelligent fan. Background Technology

[0002] As people's quality of life continues to improve, the traditional "fixed-speed airflow" or "simple temperature-controlled speed increase" control of fans can no longer meet users' personalized and refined comfort needs. In existing technologies, some smart fans have introduced temperature and humidity feedback mechanisms, but they do not fully consider the human body's sensitivity to discomfort caused by "heat" and "humidity." For example, when a user moves from a smart fan room into a high-temperature and high-humidity environment, increasing the fan speed solely based on temperature often ignores the "stuffy feeling" caused by high humidity, resulting in poor adjustment effects or even exacerbating physical discomfort. Although models such as PMV (Predicted Average Votes) and SET (Standard Effective Temperature) can be used for thermal comfort assessment, these models are computationally complex and have numerous parameters, making them difficult to run in real-time on resource-constrained fan MCUs, and they are not adapted to the sensing characteristics of fan application scenarios. Summary of the Invention

[0003] This invention provides a control method, device, intelligent fan, and medium for an intelligent fan, aiming to solve the problem of poor adjustment effect of existing fans.

[0004] In a first aspect, embodiments of the present invention provide a control method for an intelligent fan, comprising: Collect ambient temperature and humidity, and calculate the perceived temperature based on the ambient temperature and the current wind speed. A thermal comfort score is calculated using an asymmetric thermal comfort model based on the perceived temperature. A humidity comfort score is calculated based on the ambient humidity, and the state type is determined based on the humidity comfort score and the thermal comfort score. The smart fan is controlled based on the state type, the perceived temperature, the ambient humidity, and the humidity comfort score.

[0005] Secondly, embodiments of the present invention also provide a control device for an intelligent fan, comprising: The first calculation unit is used to collect ambient temperature and ambient humidity, and calculate the perceived temperature based on the ambient temperature and the current wind speed. The second calculation unit is used to calculate the thermal comfort score based on the perceived temperature using an asymmetric thermal comfort model. The calculation and determination unit is used to calculate the humidity comfort score based on the ambient humidity, and determine the state type based on the humidity comfort score and the thermal comfort score; The control unit is used to control the smart fan based on the state type, the perceived temperature, the ambient humidity, and the humidity comfort score.

[0006] Thirdly, embodiments of the present invention also provide an intelligent fan including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the above-described method.

[0007] Fourthly, embodiments of the present invention also provide a computer-readable storage medium storing a computer program that, when executed by a processor, can implement the above-described method.

[0008] This invention provides a control method, device, smart fan, and medium for a smart fan. The method includes: collecting ambient temperature and humidity, and calculating the perceived temperature based on the ambient temperature and the acquired current wind speed; calculating a thermal comfort score using an asymmetric thermal comfort model based on the perceived temperature; calculating a humidity comfort score based on the ambient humidity, and determining a state type based on the humidity comfort score and the thermal comfort score. The intelligent fan is controlled based on the state type, perceived temperature, ambient humidity, and humidity comfort score. The technical solution of this embodiment first calculates a thermal comfort score using an asymmetric thermal comfort model based on perceived temperature; then, it calculates a humidity comfort score based on ambient humidity, and determines the state type based on the humidity comfort score and thermal comfort score; finally, it controls the intelligent fan based on the state type, perceived temperature, ambient humidity, and humidity comfort score. This accurately determines the human body's true perception of the hot and humid environment, effectively improving environmental comfort and thus enhancing the fan's regulating effect. Attached Figure Description

[0009] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the following description of the embodiments will be briefly introduced. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0010] Figure 1 This is a flowchart illustrating a control method for an intelligent fan according to an embodiment of the present invention. Figure 2 This is a schematic diagram of a sub-process of a control method for an intelligent fan provided in an embodiment of the present invention; Figure 3 This is another sub-process diagram of a control method for an intelligent fan provided in an embodiment of the present invention; Figure 4This is a schematic diagram of another sub-process of a control method for an intelligent fan provided in an embodiment of the present invention; Figure 5 This is another sub-process diagram of a control method for an intelligent fan provided in an embodiment of the present invention; Figure 6 A simplified flowchart illustrating a control method for an intelligent fan according to an embodiment of the present invention; Figure 7 A schematic block diagram of a control device for an intelligent fan provided in an embodiment of the present invention; Figure 8 This is a schematic block diagram of an intelligent fan provided as an embodiment of the present invention. Detailed Implementation

[0011] 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, not all, of the embodiments of the present invention. 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.

[0012] It should be understood that, when used in this specification and the appended claims, the terms "comprising" and "including" indicate the presence of the described features, integrals, steps, operations, elements and / or components, but do not exclude the presence or addition of one or more other features, integrals, steps, operations, elements, components and / or collections thereof.

[0013] It should also be understood that the terminology used in this specification is for the purpose of describing particular embodiments only and is not intended to limit the invention. As used in this specification and the appended claims, the singular forms “a,” “an,” and “the” are intended to include the plural forms unless the context clearly indicates otherwise.

[0014] It should also be further understood that the term "and / or" as used in this specification and the appended claims refers to any combination of one or more of the associated listed items and all possible combinations, and includes such combinations.

[0015] As used in this specification and the appended claims, the term "if" may be interpreted, depending on the context, as "when," "once," "in response to determination," or "in response to detection." Similarly, the phrase "if determined" or "if [described condition or event] is detected" may be interpreted, depending on the context, as "once determined," "in response to determination," "once [described condition or event] is detected," or "in response to detection of [described condition or event]."

[0016] Please see Figure 1 , Figure 1 This is a flowchart illustrating a control method for an intelligent fan according to an embodiment of the present invention. The control method for the intelligent fan will be described in detail below. Figure 1 As shown, the method includes the following steps S110-S140.

[0017] S110. Collect ambient temperature and ambient humidity, and calculate the perceived temperature based on the ambient temperature and the current wind speed.

[0018] In this embodiment of the invention, a temperature sensor and a humidity sensor are integrated into the smart fan. The temperature sensor collects ambient temperature at a set sampling period, and the humidity sensor collects ambient humidity at a set sampling period to obtain the current wind speed of the smart fan. The perceived temperature is calculated based on the ambient temperature and the current wind speed. It should be noted that in this embodiment, the smart fan includes a temperature and humidity sensor, a wind speed detection and setting unit, a main control unit, a drive unit, a humidification unit, a negative ion generator, and a display module. The temperature and humidity sensor is used to collect ambient temperature and humidity in real time; the wind speed detection and setting unit is used to measure or set the current wind speed; the main control unit is used to process data and coordinate the linkage of various modules; the drive unit is used to receive instructions from the main control unit and control the speed of the fan motor; the humidification unit is used to adjust the ambient humidity based on a humidity comfort score; the negative ion generator is used to purify the air and improve stuffiness or odor; and the display module provides a human-computer interaction interface, displaying environmental parameters, operating status, and prompts.

[0019] In this embodiment, such as Figure 2 As shown, step S110 specifically includes steps S111-S113: S111. If the ambient temperature is in the air-cooled temperature zone, the perceived temperature is calculated using the air-cooled zone formula based on the ambient temperature and the current wind speed. S112. If the ambient temperature is in the neutral temperature range, then the ambient temperature shall be taken as the perceived temperature. S113. If the ambient temperature is in a high-temperature zone, the perceived temperature is calculated using the high-temperature zone formula based on the ambient temperature and the current wind speed.

[0020] In this embodiment of the invention, it is assumed that the ambient temperature is T (°C), the current wind speed is V (m / s), and the perceived temperature is AT; the air-cooled temperature zone is T≤10°C; the neutral temperature zone is 10°C<T≤26°C; the intense heat temperature zone is T>26°C; the formula for the air-cooled zone is shown in formula (1), and the formula for the intense heat zone is shown in formula (2): AT = 13.12 + 0.6215T - 11.37 × V 0.16+0.3965T×V 0.16 (1) AT = T + 0.33 × RH × 6.11 × ×(0.008V+0.5)) (2) Understandably, if T≤10℃, the perceived temperature AT is calculated using formula (1); if 10℃<T≤26℃, AT=T; if T>26℃, the perceived temperature AT is calculated using formula (2). It should be noted that in this embodiment, if V<1.3 m / s, V=1.3 is used in the calculation to avoid model distortion under low wind speed. It should also be noted that in this embodiment, when the ambient temperature is in the wind-cold temperature zone, the perceived temperature is calculated using formula (1). Formula (1) takes into account the "wind chill effect" caused by low air temperature and current wind speed, because wind speed will significantly accelerate the loss of heat from the human body surface, resulting in the perceived temperature being significantly lower than the actual air temperature. When the ambient temperature is in the neutral temperature zone, the air temperature is most suitable for the human body, and the influence of external factors such as wind speed and humidity on heat perception becomes relatively mild and limited. Therefore, the ambient temperature is directly used as the perceived temperature, and there is no need to correct the perceived temperature. When the ambient temperature enters the strong heat temperature zone, the perceived temperature is calculated using formula (2). Formula (2) will take into account the influence of ambient humidity, because in a high-temperature environment, higher humidity will severely inhibit the evaporation efficiency of human sweat, thereby aggravating the feeling of stuffiness, which makes the perceived temperature often higher than the actual air temperature.

[0021] S120. Calculate the thermal comfort score using an asymmetric thermal comfort model based on the perceived temperature.

[0022] In this embodiment of the invention, the asymmetric thermal comfort model includes a low-temperature thermal comfort formula and a high-temperature thermal comfort formula. The low-temperature thermal comfort formula includes a low-temperature attenuation coefficient and a low-temperature attenuation index, where the low-temperature attenuation index is a non-linear index. The high-temperature thermal comfort formula includes a high-temperature attenuation coefficient and a high-temperature attenuation index, where the high-temperature attenuation index is a linear index. It should be noted that in this embodiment, the asymmetric thermal comfort model converts perceived temperature into a quantified thermal comfort score. The asymmetric thermal comfort model sets differentiated attenuation coefficients and attenuation indices for high-temperature and low-temperature zones to accurately simulate the physiological characteristics of the human body's "heat intolerance and cold tolerance." Specifically, linear attenuation is used in the high-temperature zone to ensure a rapid response to thermal discomfort; non-linear attenuation is used in the low-temperature zone to reflect the human body's strong tolerance to cold and avoid excessively frequent wind speed adjustments.

[0023] In this embodiment, such as Figure 3 As shown, step S120 specifically includes steps S121-S123: S121. If the perceived temperature is in the low temperature range, the thermal comfort score is calculated using the low temperature thermal comfort formula based on the perceived temperature, the low temperature attenuation coefficient, and the low temperature attenuation index. S122. If the perceived temperature is within the comfort zone, then the thermal comfort score is set to a preset thermal comfort score. S123. If the perceived temperature is in the high temperature zone, the thermal comfort score is calculated using the high temperature thermal comfort formula based on the perceived temperature, the high temperature attenuation coefficient, and the high temperature attenuation index.

[0024] In this embodiment of the invention, the comfort score is TS; the comfort zone is 22℃≤AT≤26℃, and when the perceived temperature is in the comfort zone, TS=10; the low temperature zone is AT<22℃; the high temperature zone is AT>26℃; the low temperature thermal comfort formula is shown in formula (3); the high temperature thermal comfort formula is shown in formula (4): TS = 10 - kc × (22 - AT) pc (3) TS = 10 - kh × (AT - 26) ph (4) In formula (3), kc is the low-temperature attenuation coefficient, pc is the low-temperature attenuation exponent, kc=1.2, pc=1.2~1.3; in formula (4), kh is the high-temperature attenuation coefficient, ph is the high-temperature attenuation exponent, kh=0.8, ph=1.0. It should be noted that in this embodiment, TS in the high-temperature zone decreases linearly with AT, responding quickly but not excessively, avoiding a sudden drop in TS due to exponential attenuation, and preventing the fan from running at full speed for a long time; TS attenuates slowly at low temperatures, reflecting the "cold-resistant" characteristic; when AT continues to decrease, the attenuation accelerates nonlinearly, simulating the cumulative discomfort of "the colder it gets, the stiffer it becomes". Understandably, through the design of kh<kc, ph<pc, the optimized control strategy of "fast adjustment for heat sensitivity, slow adjustment for cold resistance" is realized.

[0025] S130. Calculate the humidity comfort score based on the ambient humidity, and determine the state type based on the humidity comfort score and the thermal comfort score.

[0026] In embodiments of the present invention, such as Figure 4 As shown, step S130 specifically includes steps S131-S136: S131. If the ambient humidity is within the first humidity range, then the humidity comfort score is set to the first preset humidity comfort score. S132. If the ambient humidity is within the second humidity range, then the humidity comfort score is set to the second preset humidity comfort score. S133. If the ambient humidity is in the third humidity range, the humidity comfort score is calculated according to the humidity using the humidity comfort scoring formula. S134. Calculate the absolute value of the difference between the thermal comfort score and the wet comfort score to obtain the absolute score difference; S135. Calculate the difference between the wet comfort score / thermal comfort score of the current sampling period and the wet comfort score / thermal comfort score of the previous sampling period to obtain the wet comfort score difference / thermal comfort score difference, and calculate the quotient of the wet comfort score difference / thermal comfort score difference and the time length of the sampling period to obtain the wet comfort change rate / thermal comfort change rate. S136. Determine the state type based on the thermal comfort score, the wet comfort score, the absolute score difference, the wet comfort change rate, and the thermal comfort change rate.

[0027] In this embodiment of the invention, the ambient humidity is relative humidity, assuming the ambient humidity is RH. The first humidity range is RH≤20% or RH≥80%; the second humidity range is 30%≤RH≤60%; the third humidity range is 20%<RH<30%, 60%<RH<70%, and 70%≤RH<80%. The humidity comfort scoring formula includes a first humidity comfort scoring formula, a second humidity comfort scoring formula, and a third humidity comfort scoring formula. The first humidity comfort scoring formula is HS=3.0+((RH-20) / 10)×5.0; the second humidity comfort scoring formula is HS=10.0-((RH-60) / 10)×6.0. The third wet comfort rating formula is HS=4.0-((RH-70) / 10)×1.0; specifically, if RH≤20% or RH≥80%, HS=3.0; if 20%<RH<30%, HS=3.0+((RH-20) / 10)×5.0; if 30%≤RH≤60%, HS=10.0; if 60%<RH<70%, HS=10.0-((RH-60) / 10)×6.0; if 70%≤RH<80%, HS=4.0-((RH-70) / 10)×1.0; understandably, the first preset wet comfort rating is 3.0; the second preset wet comfort rating is 10.0.

[0028] Furthermore, the absolute score difference is ΔS, ΔS = |TS - HS|, and the thermal comfort score difference is (TS t -TS t-1 ), where Δt is the time length of the sampling period, r TS The thermal comfort rate of change is shown in formula (5); the difference in wet comfort score is (HS). t -HS t-1 ), r HSThe rate of change of wet comfort is shown in formula (6): r TS =(TS t -TS t-1 ) / Δt (5) r HS =(HS t -HS t-1 ) / Δt (6) Furthermore, step S136 specifically includes: if the absolute score difference is greater than a preset score difference threshold, the thermal comfort score is less than a preset comfort score threshold, and the thermal comfort change rate is less than a first preset change rate threshold, then the state type is set to a heat-dominated discomfort state; if the absolute score difference is greater than the preset score difference threshold, the wet comfort score is less than the preset comfort score threshold, and the wet comfort change rate is less than the first preset change rate threshold, then the state type is set to a wetness-dominated discomfort state; if the thermal comfort score is less than the preset comfort score threshold, then the state type is set to a composite discomfort state; if the absolute score difference is less than the preset score difference threshold, the absolute value of the thermal comfort change rate is less than a second preset change rate threshold, and the absolute value of the wet comfort change rate is less than the second preset change rate threshold, then the state type is set to a comfortable and stable state. Specifically, assuming the preset score difference threshold is τ=1.0, the first preset rate of change threshold is -ρ=-0.3, and the second preset rate of change threshold is ρ=0.3; the preset comfort score threshold is 6.0; if ΔS>τ, TS<6.0, and r TS <-ρ, the state type is heat-dominated discomfort; if ΔS>τ, HS<6.0, and r HS <-ρ, the state type is wet-dominant discomfort; if TS < 6.0 and HS < 6.0, the state type is complex discomfort; if ΔS < τ and |r TS |<ρ and |r HS | < ρ, the state type is a comfortable and stable state. It should be noted that in this embodiment, if r TS =-0.4, i.e., TS=6.1, can provide an early warning of "intensified heat" and preemptively increase wind speed; if r HS A rapid decrease in humidity can predict a drying trend and allow for early initiation of humidification. Intuitively, by introducing the rates of change in humidity comfort and thermal comfort, a downward trend in the score can be identified, enabling proactive warnings and pre-adjustments for uncomfortable conditions.

[0029] S140. Control the smart fan according to the state type, the perceived temperature, the ambient humidity, and the humidity comfort score.

[0030] In embodiments of the present invention, such as Figure 5 As shown, step S140 specifically includes steps S141-S144: S141, if the state type is the heat-dominant discomfort state, then control the smart fan according to the perceived temperature and the ambient humidity; S142, if the state type is the humidity-dominant discomfort state, then control the smart fan according to the ambient humidity and the humidity comfort score; S143, if the state type is the composite discomfort state, then execute the step of controlling the smart fan according to the perceived temperature and the ambient humidity; S144, if the state type is the comfortable and stable state, then maintain the current state of the smart fan unchanged. It should be noted that, in this embodiment, the specific implementation process of step S141 is as follows: If AT > 26℃: increase the fan speed by 1 level; if AT > 30℃: start the maximum fan speed and turn on the negative ion function; if AT > 32℃ and RH < 60%: start the "evaporative cooling mode", that is, turn on humidification and run the fan at high speed to reduce the perceived temperature by absorbing heat through water evaporation; if AT > 32℃ and RH > 60%: turn off humidification, display the prompt "It is recommended to open the window for ventilation", and the LED yellow light flashes. The specific implementation process of step S142 is as follows: A. Dry type (RH < 40%), HS ∈ [4.0, 5.9]: Start low-power humidification, and maintain the fan speed at level 2-3; HS ∈ [3.0, 3.9]: Start medium-power humidification, and increase the fan speed by 1 level to promote water vapor diffusion; HS < 3.0: Start maximum humidification power, display the prompt "Air is too dry", and the LED blue light flashes; B. Humid type (RH > 60%): HS ∈ [4.0, 5.9]: Turn off humidification, increase the fan speed by 1 level, and turn on the negative ion purifier; HS ∈ [3.0, 3.9]: Start maximum fan speed, display the prompt "It is recommended to open the window for ventilation", and the LED yellow light flashes; HS < 3.0: Display the prompt "The environment is humid, it is recommended to use a dehumidifier" and the LED white light flashes. The specific implementation process of step S143 is as follows: High temperature + low humidity (AT>26℃, RH<40%): Start "evaporative cooling mode", humidify and the fan runs at high speed for double cooling; High temperature + high humidity (AT>26℃, RH>60%): The fan runs at maximum speed, the negative ion generator is turned on, the humidifier is turned off, and the air flow and ventilation are enhanced; Low temperature + low humidity (AT<22℃, RH<40%): The fan runs at low speed, humidifies, avoids direct blowing, and achieves "moisturizing without cooling"; Low temperature + high humidity (AT<22℃, RH>60%): The display prompts "The environment is humid, it is recommended to use a dehumidifier", and the LED white light flashes.

[0031] Please see Figure 6 , Figure 6 A simplified flowchart of a smart fan control method provided in an embodiment of the present invention; as shown. Figure 6As shown, environmental data is collected to obtain the current wind speed. Based on the environmental data and the current wind speed, the perceived temperature, thermal comfort score, and humidity comfort score are obtained. The difference and rate of change in the thermal and humidity comfort scores are calculated to dynamically identify the state type, and the smart fan is adjusted according to the state type. It should be noted that the above-described smart fan control method has low computational complexity and can run in real time on a low-cost smart fan MCU.

[0032] Figure 7 This is a schematic block diagram of a smart fan control device 200 provided in an embodiment of the present invention. Figure 7 As shown, corresponding to the above-described intelligent fan control method, the present invention also provides an intelligent fan control device 200. This intelligent fan control device 200 includes a unit for executing the above-described intelligent fan control method, and the device can be configured in an intelligent fan. Specifically, please refer to... Figure 7 The control device 200 of the intelligent fan includes a first computing unit 201, a second computing unit 202, a calculation and determination unit 203, and a control unit 204. The functional modules are described in detail below: The first calculation unit 201 is used to collect ambient temperature and ambient humidity, and calculate the perceived temperature based on the ambient temperature and the current wind speed. The second calculation unit 202 is used to calculate the thermal comfort score based on the perceived temperature using an asymmetric thermal comfort model. The calculation and determination unit 203 is used to calculate the humidity comfort score based on the ambient humidity, and determine the state type based on the humidity comfort score and the thermal comfort score; Control unit 204 is used to control the smart fan according to the state type, the perceived temperature, the ambient humidity, and the humidity comfort score.

[0033] In some embodiments, such as this one, the first computing unit 201 is specifically used for: If the ambient temperature is in the air-cooled temperature zone, the perceived temperature is calculated using the air-cooled zone formula based on the ambient temperature and the current wind speed. If the ambient temperature is in the neutral temperature range, then the ambient temperature is taken as the perceived temperature. If the ambient temperature is in a high-temperature zone, the perceived temperature is calculated using the high-temperature zone formula based on the ambient temperature and the current wind speed.

[0034] In some embodiments, such as this one, the second computing unit 202 is specifically used for: If the perceived temperature is in the low temperature range, the thermal comfort score is calculated using the low temperature thermal comfort formula based on the perceived temperature, the low temperature attenuation coefficient, and the low temperature attenuation index. If the perceived temperature is within the comfort zone, then the thermal comfort score is set to the preset thermal comfort score. If the perceived temperature is in the high-temperature zone, the thermal comfort score is calculated using the high-temperature thermal comfort formula based on the perceived temperature, the high-temperature attenuation coefficient, and the high-temperature attenuation index.

[0035] In some embodiments, such as this one, the calculation and determination unit 203 is specifically used for: If the ambient humidity is within the first humidity range, then the humidity comfort score is set to the first preset humidity comfort score; If the ambient humidity is within the second humidity range, then the humidity comfort score is set to the second preset humidity comfort score; If the ambient humidity is in the third humidity range, the humidity comfort score is calculated using the humidity comfort scoring formula based on the ambient humidity. The absolute score difference is obtained by calculating the absolute value of the difference between the thermal comfort score and the wet comfort score; The difference between the wet comfort score / thermal comfort score of the current sampling period and the wet comfort score / thermal comfort score of the previous sampling period is calculated to obtain the wet comfort score difference / thermal comfort score difference. The quotient of the wet comfort score difference / thermal comfort score difference and the time length of the sampling period is calculated to obtain the wet comfort change rate / thermal comfort change rate. The state type is determined based on the thermal comfort score, the wet comfort score, the absolute score difference, the wet comfort change rate, and the thermal comfort change rate.

[0036] In some embodiments, such as this one, the calculation and determination unit 203 is further configured to: If the absolute score difference is greater than a preset score difference threshold, the thermal comfort score is less than a preset comfort score threshold, and the thermal comfort change rate is less than a first preset change rate threshold, then the state type is set to thermal-dominant discomfort state. If the absolute score difference is greater than the preset score difference threshold, the wet comfort score is less than the preset comfort score threshold, and the wet comfort change rate is less than the first preset change rate threshold, then the state type is set to wet-dominant discomfort state. If the thermal comfort score is less than the preset comfort score threshold and the thermal comfort score is less than the preset comfort score threshold, then the state type is set to a composite discomfort state. If the absolute score difference is less than the preset score difference threshold, the absolute value of the thermal comfort change rate is less than the second preset change rate threshold, and the absolute value of the wet comfort change rate is less than the second preset change rate threshold, then the state type is set to a comfortable and stable state.

[0037] In some embodiments, such as this one, the control unit 204 is specifically used for: If the state type is the heat-dominated uncomfortable state, then the smart fan is controlled according to the perceived temperature and the ambient humidity; If the state type is the humidity-dominant uncomfortable state, then the smart fan is controlled according to the ambient humidity and the humidity comfort score; If the state type is the composite uncomfortable state, then the step of controlling the smart fan according to the perceived temperature and the ambient humidity is executed; If the state type is the comfortable and stable state, then the current state of the smart fan remains unchanged.

[0038] The control device for the aforementioned intelligent fan can be implemented as a computer program, which can, for example... Figure 8 It runs on the smart fan shown.

[0039] Please see Figure 8 , Figure 8 This is a schematic block diagram of an intelligent fan provided in an embodiment of the present invention. The intelligent fan 300 is a device capable of compressor protection control.

[0040] See Figure 8 The smart fan 300 includes a processor 302, a memory, and a network interface 305 connected via a system bus 301. The memory may include a non-volatile storage medium 303 and internal memory 304.

[0041] The non-volatile storage medium 303 can store an operating system 3031 and a computer program 3032. When the computer program 3032 is executed, it causes the processor 302 to execute a smart fan control method.

[0042] The processor 302 provides computing and control capabilities to support the operation of the entire intelligent fan 300.

[0043] The internal memory 304 provides an environment for the operation of the computer program 3032 in the non-volatile storage medium 303. When the computer program 3032 is executed by the processor 302, the processor 302 can execute a smart fan control method.

[0044] This network interface 305 is used for network communication with other devices. Those skilled in the art will understand that... Figure 8 The structure shown is merely a block diagram of a portion of the structure related to the present invention and does not constitute a limitation on the smart fan 300 to which the present invention is applied. The specific smart fan 300 may include more or fewer components than shown in the figure, or combine certain components, or have different component arrangements.

[0045] The processor 302 is used to run a computer program 3032 stored in a memory to implement any embodiment of the above-described intelligent fan control method.

[0046] It should be understood that, in this embodiment of the invention, the processor 302 may be a Central Processing Unit (CPU), or it may be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor.

[0047] It will be understood by those skilled in the art that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a storage medium, which is a computer-readable storage medium. The computer program is executed by a processor in the computer system to implement the process steps of the embodiments of the above methods.

[0048] Therefore, the present invention also provides a storage medium. This storage medium can be a computer-readable storage medium. The storage medium stores a computer program. When executed by a processor, the computer program causes the processor to perform any embodiment of the above-described intelligent fan control method.

[0049] The storage medium can be any computer-readable storage medium capable of storing program code, such as a USB flash drive, portable hard drive, read-only memory (ROM), magnetic disk, or optical disk.

[0050] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of both. To clearly illustrate the interchangeability of hardware and software, the components and steps of the various examples have been generally described in terms of functionality in the foregoing description. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this invention.

[0051] In the several embodiments provided by this invention, it should be understood that the disclosed apparatus and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative. For example, the division of each unit is merely a logical functional division, and there may be other division methods in actual implementation. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed.

[0052] The steps in the method of this invention can be adjusted, merged, or reduced in order according to actual needs. The units in the device of this invention can be merged, divided, or reduced according to actual needs. Furthermore, the functional units in the various embodiments of this invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0053] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a smart fan to execute all or part of the steps of the methods described in the various embodiments of the present invention.

[0054] In the above embodiments, the descriptions of each embodiment have different focuses. For parts that are not described in detail in a certain embodiment, please refer to the relevant descriptions in other embodiments.

[0055] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Since these modifications and variations fall within the scope of the claims and their equivalents, this invention also intends to include these modifications and variations.

[0056] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any person skilled in the art can easily conceive of various equivalent modifications or substitutions within the technical scope disclosed in the present invention, and these modifications or substitutions should all be covered within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A control method of an intelligent fan, characterized by, The method comprises the following steps: collecting an ambient temperature and an ambient humidity, and calculating a wet-bulb temperature based on the ambient temperature and a current wind speed obtained; calculating a thermal comfort score according to the wet-bulb temperature by using an asymmetric thermal comfort model; calculating a wet comfort score according to the ambient humidity, and determining a state type according to the wet comfort score and the thermal comfort score; controlling an intelligent fan according to the state type, the wet-bulb temperature, the ambient humidity, and the wet comfort score.

2. The method of claim 1, wherein, The step of calculating the wet-bulb temperature based on the ambient temperature and the current wind speed obtained comprises the following steps: if the ambient temperature is in a wind cooling temperature zone, calculating the wet-bulb temperature according to the ambient temperature and the current wind speed by using a wind cooling zone formula; if the ambient temperature is in a neutral temperature zone, taking the ambient temperature as the wet-bulb temperature; if the ambient temperature is in a strong heat temperature zone, calculating the wet-bulb temperature according to the ambient temperature and the current wind speed by using a strong heat zone formula.

3. The method of claim 1, wherein, The asymmetric thermal comfort model comprises a low-temperature thermal comfort formula and a high-temperature thermal comfort formula; the step of calculating the thermal comfort score according to the wet-bulb temperature by using the asymmetric thermal comfort model comprises the following steps: if the wet-bulb temperature is in a low-temperature zone, calculating the thermal comfort score according to the wet-bulb temperature, a low-temperature attenuation coefficient, and a low-temperature attenuation index by using the low-temperature thermal comfort formula; if the wet-bulb temperature is in a comfortable zone, setting the thermal comfort score as a preset thermal comfort score; if the wet-bulb temperature is in a high-temperature zone, calculating the thermal comfort score according to the wet-bulb temperature, a high-temperature attenuation coefficient, and a high-temperature attenuation index by using the high-temperature thermal comfort formula.

4. The method of claim 1, wherein, The step of calculating the wet comfort score according to the ambient humidity comprises the following steps: if the ambient humidity is in a first humidity interval, setting the wet comfort score as a first preset wet comfort score; if the ambient humidity is in a second humidity interval, setting the wet comfort score as a second preset wet comfort score; if the ambient humidity is in a third humidity interval, calculating the wet comfort score according to the ambient humidity by using a wet comfort score formula.

5. The method according to any one of claims 1 to 4, characterized in that, The step of determining the state type according to the wet comfort score and the thermal comfort score comprises the following steps: calculating an absolute value of a difference between the thermal comfort score and the wet comfort score to obtain an absolute score difference value; calculating a difference between the wet comfort score / thermal comfort score of a current sampling period and the wet comfort score / thermal comfort score of a previous sampling period to obtain a wet comfort score difference value / thermal comfort score difference value, and calculating a quotient of the wet comfort score difference value / thermal comfort score difference value and a time length of the sampling period to obtain a wet comfort change rate / thermal comfort change rate; determining the state type according to the thermal comfort score, the wet comfort score, the absolute score difference value, the wet comfort change rate, and the thermal comfort change rate.

6. The method of claim 5, wherein, The step of determining the state type according to the thermal comfort score, the wet comfort score, the absolute score difference value, the wet comfort change rate, and the thermal comfort change rate comprises the following steps: if the absolute score difference is greater than a preset score difference threshold, the thermal comfort score is less than a preset comfort score threshold, and the thermal comfort change rate is less than a first preset change rate threshold, the state type is set to a thermal-dominant uncomfortable state; if the absolute score difference is greater than the preset score difference threshold, the thermal comfort score is less than the preset comfort score threshold, and the thermal comfort change rate is less than the first preset change rate threshold, the state type is set to a thermal-dominant uncomfortable state; if the thermal comfort score is less than the preset comfort score threshold and the thermal comfort score is less than the preset comfort score threshold, the state type is set to a composite uncomfortable state; if the absolute score difference is less than the preset score difference threshold, the absolute value of the thermal comfort change rate is less than a second preset change rate threshold, and the absolute value of the wet comfort change rate is less than the second preset change rate threshold, the state type is set to a comfortable stable state.

7. The method of claim 6, wherein, The step of controlling the intelligent fan according to the state type, the apparent temperature, the environmental humidity, and the wet comfort score includes: if the state type is the thermal-dominant uncomfortable state, the intelligent fan is controlled according to the apparent temperature and the environmental humidity; if the state type is the wet-dominant uncomfortable state, the intelligent fan is controlled according to the environmental humidity and the wet comfort score; if the state type is the composite uncomfortable state, the step of controlling the intelligent fan according to the apparent temperature and the environmental humidity is performed; if the state type is the comfortable stable state, the current state of the intelligent fan is maintained unchanged.

8. A control device of an intelligent fan, characterized in that, includes: a first calculation unit configured to collect an environmental temperature and an environmental humidity, and calculate an apparent temperature based on the environmental temperature and a current wind speed obtained; a second calculation unit configured to calculate a thermal comfort score according to the apparent temperature by using an asymmetric thermal comfort model; a calculation and determination unit configured to calculate a wet comfort score according to the environmental humidity, and determine a state type according to the wet comfort score and the thermal comfort score; a control unit configured to control an intelligent fan according to the state type, the apparent temperature, the environmental humidity, and the wet comfort score.

9. An intelligent fan, characterized by, The intelligent fan includes a memory and a processor, the memory stores a computer program, and the processor implements the method of any one of claims 1-7 when executing the computer program.

10. A computer-readable storage medium, characterized in that, The storage medium stores a computer program, and the computer program can implement the method of any one of claims 1-7 when executed by a processor.

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