WO2024031836A1

WO2024031836A1 - Dynamic home humidification method and apparatus combining thermal comfort and sensible temperature

Info

Publication number: WO2024031836A1
Application number: PCT/CN2022/126551
Authority: WO
Inventors: 薛雪; 龙照凯; 孙雪; 李俊; 王伟明
Original assignee: 湖南桅灯智能科技有限公司
Priority date: 2022-08-12
Filing date: 2022-10-21
Publication date: 2024-02-15
Also published as: CN115046296B; CN115046296A

Abstract

A dynamic smart home humidification method and apparatus combining thermal comfort and a sensible temperature. The method comprises: (1) monitoring, in real time, an indoor temperature and a relative humidity, and setting an equivalent air velocity; (2) calculating an equivalent thermal comfort index and a sensible temperature at a kth moment; (3) setting an initial assignment weight coefficient, and calculating a PTk int value at the kth moment; (4) setting a control mode of a smart humidifier at the (k+1)th moment according to ranges of the PTk int value and an RHk air value, wherein the control mode comprises not starting humidification, a conventional humidification mode and a rapid super-humidification mode; (5) when entering the (k+1)th moment, recalculating the equivalent thermal comfort index and the sensible temperature, and calculating a weight coefficient at a new moment; and repeating steps (3) to (5) until the humidifier is turned off.

Description

A home dynamic humidification method and device that combines thermal comfort and body temperature

Technical field

The invention belongs to the technical field of air conditioning, and in particular relates to a home dynamic humidification method and device that integrates thermal comfort and body temperature.

Background technique

The humidification modes of traditional humidifiers are generally manual switch humidification, scheduled humidification, and automatic humidification. The traditional humidifier is installed with a humidity sensor, which monitors the indoor real-time humidity in real time and controls the start and stop of the humidifier according to the set upper and lower humidity limits.

The above-mentioned traditional humidifier operation control mode cannot effectively and dynamically control humidification according to the comfort needs of indoor space personnel in real time. The actual humidification effect does not take into account the indoor dry bulb temperature and whether there are other air conditioning devices running in the room. The final humidification effect was unsatisfactory. In addition, the existing evaluation indicators of human body thermal comfort are not accurate enough and cannot be dynamically adjusted according to actual conditions, making the humidification effect unsatisfactory.

Contents of the invention

In view of this, the present invention is proposed.

The smart home dynamic humidification method that integrates thermal comfort and body temperature disclosed in the first aspect of the present invention includes the following steps:

Step 1: After turning on the smart home dynamic humidifier device, at the kth moment, the indoor air dry bulb temperature T ^k air and relative humidity RH ^k _air are monitored in real time through the built-in air dry bulb temperature sensor, relative humidity sensor and infrared induction _sensor. , and use the infrared induction sensor to monitor whether there are other air conditioning devices in the room that are turned on and in mode, and set the equivalent air flow rate v ^k _{air, eqt} ;

Step 2: Calculate the equivalent thermal comfort index at the k-th moment using the parameters measured in real time in Step 1;

Step 3: Calculate the body temperature at the k-th moment using the parameters measured in real time in Step 1;

Step 4: If other air conditioning devices in the room are turned on, set the initial assignment weight coefficients W ₁ ^k and W ₂ ^k ;

Step 5: Substitute the weight coefficients W ₁ ^k and W ₂ ^k at the k-th moment into the formula and calculate the PT ^k _int value at the k-th moment;

Step 6: When the value of PT ^k _int belongs to the [-1,1] interval and the value of RH ^k _air belongs to the [35%, 65%] interval, the control mode H ^k+1 of the smart humidifier at the k+1th moment _mode is adjusted to "0", that is, humidification is not started; when the value of PT ^k _int is less than -1, or the value of RH ^k _air is less than 35%, the control mode H ^k+1 of the smart humidifier at the k+1th moment _mode is adjusted to "1", the humidifier turns on the regular humidification mode for the room; when the value of PT ^k _int is less than -1, and the value of RH ^k _air is also less than 35%, the k+1th moment of the smart humidifier The control mode H ^k+1 _mode is adjusted to "2", and the humidifier turns on the room in rapid over-humidification mode;

Step 7: Entering the k+1th moment, the smart humidifier re-collects the air temperature and relative humidity at the new moment, recalculates the equivalent thermal comfort index and body temperature, and calculates the weight coefficients W ₁ ^k , W at the new moment _2k ^;

Step 8: Repeat the

above steps

5, 6, and 7 until the smart humidifier is turned off manually or scheduled.

Furthermore, if no other air conditioning device is found to be turned on, the equivalent air flow velocity v ^k _{air, eqt} is set to 0 m/s; if other air conditioning devices are found to be turned on, the equivalent air flow velocity is set according to the monitored air conditioner wind speed mode. v ^k _air,eqt ;

If the wind speed mode of the air conditioner is third gear, the equivalent air flow speed v ^k _{air, eqt} at low speed is 0.1m/s, the equivalent air flow speed v ^k _{air, eqt} at medium speed and automatic speed is 0.2 m/s, and at high speed When the equivalent air flow velocity v ^k _{air, eqt} is equivalent to 0.3m/s;

If the wind speed mode of the air conditioner is fifth gear, the equivalent air flow speed v ^k _{air, eqt} is 0.1 m/s at 1 grid, the equivalent air flow speed v ^{k air, eqt is 0.15 m/s at 2 grid, and the equivalent air flow speed v k} _{air, eqt} at 3 grid is 0.15 m/s. The equivalent air flow velocity v ^k _{air, eqt} is equivalent to 0.2m/s at the gear position, the equivalent air flow velocity v ^k _{air, eqt} is equivalent to 0.25 m/s at 4 grids, and the equivalent air flow velocity v ^k _{air at 5 grids is eqt} is equivalent to 0.3m/s.

Further, the equivalent thermal comfort index at the kth moment is calculated as follows:

PMV _eqt is the equivalent thermal comfort index, whose range is equivalent to the average index of seven levels of thermal sensation voting.

Further, the somatosensory temperature at the kth moment is calculated as follows:

is the somatosensory temperature at time k;

is the indoor air temperature at time k;

is the indoor relative humidity at time k;

is the indoor equivalent air flow velocity at time k.

Further, if it is not detected that other air-conditioning devices in the room are not turned on, the initial weight coefficient W ₁ ^k = W ₂ ^k = 0.5; if it is detected that other air-conditioning devices in the room are turned on and in cooling mode or dehumidification mode, the initial weight coefficient W 1 k = W 2 k = 0.5. Assignment weight coefficients W ₁ ^k = 0.2, W ₂ ^k = 0.8; if it is detected that other air conditioning devices in the room are turned on and in heating mode, the initial assignment weight coefficients W ₁ ^k = 0.8, W ₂ ^k = 0.2.

Further, the weight coefficients W ₁ ^k and W ₂ ^k at the k-th moment are substituted into the following formula to calculate the fusion value PT ^k _int of the equivalent thermal comfort and the sensory temperature at the k-th moment;

Further, the weight coefficients W ₁ ^k+1 and W ₂ ^k+1 at the new moment are calculated as follows:

in,

and

is the weight coefficient at time k,

is the equivalent thermal comfort index at time k+1,

is the equivalent thermal comfort index at time k,

is the somatosensory temperature at k+1 moment,

is the somatosensory temperature at time k.

The smart home dynamic humidification device that integrates thermal comfort and body temperature disclosed in the second aspect of the present invention includes:

processor;

and, a memory for storing executable instructions of the processor;

Wherein, the processor is configured to execute the smart home dynamic humidification method integrating thermal comfort and body temperature according to any one of claims 1 to 7 via executable instructions.

The beneficial effects of the present invention are as follows:

At the same time, the thermal comfort and body temperature of the indoor human body are taken into consideration, and the equivalent thermal comfort algorithm is innovatively adopted, and the fusion algorithm takes into account both thermal comfort requirements and appropriate body temperature;

Different from the manual start and stop, timed start and stop, or high and low limit start and stop of traditional humidifiers, the present invention adopts innovative control methods of dynamic humidification, conventional humidification, and rapid excessive humidification based on real-time monitoring of indoor temperature and humidity conditions;

This invention innovatively uses infrared sensors to monitor whether there are other air-conditioning devices in the indoor space, and at the same time, the indoor air flow rate is included in the consideration of humidification comfort.

Description of drawings

Figure 1 is a flow chart of the method of the present invention.

Detailed ways

The present invention will be further described below in conjunction with the accompanying drawings, but the present invention is not limited in any way. Any transformation or replacement based on the teachings of the present invention falls within the protection scope of the present invention.

Due to the simple operation control mode of traditional humidifiers, the dry bulb temperature of the indoor space being humidified is not considered, nor is it considered whether other air conditioning devices (such as refrigeration air conditioners) are operating in the indoor space being humidified. More importantly, traditional air conditioners are almost never used. Without considering the actual thermal sensation of the human body (such as human body thermal comfort, somatosensory temperature) and other issues, the present invention proposes a new fusion control algorithm based on equivalent thermal comfort and somatosensory temperature.

Human thermal comfort is a comprehensive evaluation index based on the basic equation of human thermal balance and the subjective thermal sensation level of psychophysiology, taking into account many relevant factors of human thermal comfort. The human thermal comfort index indicates the average index of the group's voting for seven levels of thermal sensation (+3 ~ -3), as shown in Table 1 below.

Table 1 Human Thermal Comfort Thermal Feeling Scale

热感觉hot feeling	冷cold	凉cold	微凉Slightly cool	适中Moderate	微暖slightly warm	暖warm	热hot
指标值Index value	-3-3	-2-2	-1-1	00	11	22	33

Somatosensory temperature refers to the degree of coldness and warmth felt by the human body. When converted into the same temperature, it will be affected by the comprehensive effects of air temperature, wind speed and relative humidity.

In addition to focusing on the real-time thermal comfort and body temperature of the indoor human body, the control algorithm and device of the present invention also take into account whether other air conditioning devices (such as conventional household air conditioners) are running in the indoor space by relying on smart home intelligent identification. Monitor the air dry bulb temperature, relative humidity, air flow rate and other necessary air parameters in the indoor humidification space, and perform dynamic humidification control (such as humidification time, humidification amount). At the technical level, organic linkage control of temperature and humidity can be achieved. At the level of humidification effect, It can realize on-demand humidification to meet the human body's thermal comfort and somatosensory needs to the greatest extent.

As shown in Figure 1, the control steps of the present invention are as follows:

Step 1: After turning on the smart home dynamic humidifier device, at the kth moment, the indoor air dry bulb temperature T ^k air and relative humidity RH ^k _air are monitored in real time through the built-in air dry bulb temperature sensor, relative humidity sensor and infrared induction _sensor. , and use the infrared induction sensor to monitor whether other air conditioning devices are turned on and the mode (cooling or heating mode) in the room. If no other air conditioning device is found to be turned on, the equivalent air flow rate v ^k _{air, eqt} is equivalent to 0m/s. ; If it is found that other air conditioning devices are turned on, set the equivalent air flow speed v ^k _{air, eqt} according to the monitored wind speed mode (third gear: low speed is equivalent to 0.1m/s, medium speed and automatic gear are equivalent to 0.2m/ s, high-speed equivalent is 0.3m/s; fifth gear: 1 grid is equivalent to 0.1m/s, 2 grid is equivalent to 0.15m/s, 3 grid is equivalent to automatic gear is 0.2m/s, 4 grids, etc. The effective speed is 0.25m/s, and the 5-grid equivalent is 0.3m/s; the average style of other gears is equivalent, the lower limit of low speed is 0.1m/s, the upper limit of high speed is 0.3m/s, and so on.);

Step 2: As shown in formula (1), substitute the parameters measured in real time in step 1 to calculate the equivalent thermal comfort index at the kth moment;

PMV _eqt is the equivalent thermal comfort index, and its range is equivalent to the average index of the seven levels of thermal sensation voting (+3~-3) in the above table.

At present, ASHRAE Standard 55-2010 defines comfort as the state of consciousness of the human body expressing satisfaction with the thermal environment. It is suitable for typical indoor environments, that is: the person is in a sitting state (1.1met), the indoor wind speed is ≤0.2m/s, and the thermal resistance of the person's clothing It is 1.0clo (typical attire in winter) or 0.5clo (typical attire in summer). For clothing thermal resistance between 0.5clo and 1.0clo, the thermal comfort zone can be determined by interpolation. This method can only look up tables, and makes assumptions or assumptions about some parameters, without the operability of on-the-ground control. For example, it takes into account the clothing coefficient of the person, the radiation temperature of the room, and the metabolic rate of the human body, but it is difficult to measure the radiation temperature of the room. However, men, women, old and young have different exercise states, and the metabolic rate of the human body is also different, so the calculation of thermal comfort is not operable.

The equivalent thermal comfort index proposed by the present invention normalizes and equates various factors. For example, radiation temperature is equivalent according to static and long-term mixing methods, and behaviors such as dressing and washing are calculated as 1 (behaviors such as sleeping mode and covering quilt are calculated as 1). Equivalent), the metabolic rate value is the average value of sitting, and equivalent control of other factors, the thermal comfort can be close to the actual human body perception. In the subsequent control process, the weight coefficient of the equivalent thermal comfort index is also set, and the weight coefficient is dynamically adjusted based on the actual control results to make the thermal comfort index closer to the user's feeling.

Step 3: As shown in formula (2), substitute the parameters measured in real time in step 1 to calculate the somatosensory temperature at the kth moment;

is the somatosensory temperature at time k;

is the indoor air temperature at time k;

is the indoor relative humidity at time k;

is the indoor equivalent air flow velocity at time k.

Step 4: If it is not detected that other air-conditioning devices in the room are turned on, then the initial weight coefficient W ₁ ^k = W ₂ ^k = 0.5; if it is detected that other air-conditioning devices in the room are turned on and in cooling mode or dehumidification mode, then the initial weight coefficient Assignment weight coefficients W ₁ ^k = 0.2, W ₂ ^k = 0.8; if it is detected that other air conditioning devices in the room are turned on and in heating mode, the initial assignment weight coefficients W ₁ ^k = 0.8, W ₂ ^k = 0.2;

Step 5: As shown in formula (3), substitute the weight coefficients W ₁ ^k and W ₂ ^k at the k-th moment into the formula and calculate the PT ^k _int value at the k-th moment;

Among them, PT _int is the fusion value of equivalent thermal comfort and sensory temperature, T _body is the sensory temperature; T _air is the indoor air temperature; RH _air is the indoor relative humidity; v _{air, eqt} is the indoor equivalent air flow rate; W ₁ , W ₂ is the weight coefficient of the adjustment control; k is the kth time. Preferably, the time interval can be set to at least 30 seconds.

Step 6: As shown in formula (4), when the value of PT ^k _int belongs to the [-1,1] interval and the value of RH ^k _air belongs to the [35%, 65%] interval, the k+1th smart humidifier The control mode H ^k+1 _mode at the time is adjusted to "0", that is, humidification is not started, and the humidification amount of the humidifier to the room is 0; when the value of PT ^k _int is less than -1, or the value of RH ^k _air is less than 35 %, the control mode H ^k+1 _mode of the smart humidifier at the k+1th moment is adjusted to "1", that is, humidification is started, and the humidifier turns on the regular humidification mode for the room to increase the moisture content of the air in the room. and air relative humidity; when the value of PT ^k _int is less than -1, and the value of RH ^k _air is also less than 35%, the control mode H ^k+1 _mode of the intelligent humidifier at the k+1th moment is adjusted to "2" means starting humidification. The humidifier starts the rapid overhumidification mode of the room, which is used to quickly and massively increase the moisture content and relative humidity of the air in the room.

H _mode is the intelligent humidifier control mode.

Step 7: Entering the k+1th time, the smart humidifier re-collects the air temperature and relative humidity at the new time, recalculates the equivalent thermal comfort index and body temperature, and substitutes them into the calculation according to formula (5) and formula (6). Obtain the weight coefficients W ₁ ^k and W ₂ ^k at the new moment;

Step 8: Repeat the

above steps

5, 6, and 7 until the smart humidifier is turned off manually or scheduled.

The beneficial effects of the present invention are as follows:

Different from the manual start and stop, timed start and stop, or high and low limit start and stop of traditional humidifiers, the present invention adopts innovative control methods of dynamic humidification, conventional humidification and rapid excessive humidification based on real-time monitoring of indoor temperature and humidity conditions;

The word "preferred" as used herein is meant to serve as an example, illustration or illustration. Any aspect or design described herein as "preferred" is not necessarily to be construed as more advantageous than other aspects or designs. Rather, the use of the word "preferred" is intended to present the concept in a concrete manner. The term "or" as used in this application is intended to mean an inclusive "or" rather than an exclusive "or". That is, unless otherwise specified or clear from the context, "X employs A or B" is meant to naturally include either of the permutations. That is, "X uses A or B" is satisfied in either of the preceding examples if X uses A; X uses B; or X uses both A and B.

Furthermore, while the present disclosure has been shown and described with respect to one implementation or implementation, equivalent variations and modifications will occur to those skilled in the art based on a reading and understanding of the specification and the accompanying drawings. The present disclosure includes all such modifications and variations and is limited only by the scope of the appended claims. Specifically with respect to the various functions performed by the above-described components (e.g., elements, etc.), the terms used to describe such components are intended to correspond to any component that performs the specified function of the recited component (e.g., which is functionally equivalent) (unless otherwise indicated), even if not structurally equivalent to the disclosed structures that perform the functions in the exemplary implementations of the present disclosure shown herein. Furthermore, although specific features of the present disclosure have been disclosed with respect to only one of several implementations, such features may be combined with one or other features of other implementations as may be desirable and advantageous for a given or particular application. combination. Furthermore, to the extent that the terms "include," "have," "contains," or variations thereof are used in a detailed description or claims, such terms are intended to be encompassed in a similar manner to the term "comprises."

Each functional unit in the embodiment of the present invention can be integrated into a processing module, or each unit can exist physically alone, or multiple or more of the above units can be integrated into one module. The above integrated modules can be implemented in the form of hardware or software function modules. If the integrated module is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a computer-readable storage medium. The storage media mentioned above can be read-only memory, magnetic disks or optical disks, etc. Each of the above devices or systems can execute the storage method in the corresponding method embodiment.

To sum up, the above-mentioned embodiment is an implementation mode of the present invention, but the implementation mode of the present invention is not limited by the above-mentioned embodiment. Any other changes that deviate from the spirit and principle of the present invention, Modifications, substitutions, combinations, and simplifications should all be equivalent substitutions, and are all included in the protection scope of the present invention.

Claims

A smart home dynamic humidification method that integrates thermal comfort and body temperature, which is characterized by including the following steps:

Step 1: After turning on the smart home dynamic humidifier device, at the kth moment, the indoor air dry bulb temperature T k air and relative humidity RH k air are monitored in real time through the built-in air dry bulb temperature sensor, relative humidity sensor and infrared induction sensor. , and use the infrared induction sensor to monitor whether there are other air conditioning devices in the room that are turned on and in mode, and set the equivalent air flow rate v k air, eqt ;

Step 2: Calculate the equivalent thermal comfort index at the k-th moment using the parameters measured in real time in Step 1;

Step 3: Calculate the body temperature at the k-th moment using the parameters measured in real time in Step 1;

Step 4: Set the initial assignment weight coefficients W 1 k and W 2 k according to the opening status of other air-conditioning devices in the room;

Step 5: Calculate the fusion value PT k int of the equivalent thermal comfort and body-sensing temperature at the k-th moment based on the weight coefficients W 1 k and W 2 k at the k-th moment;

Step 6: When the value of PT k int belongs to the [-1,1] interval and the value of RH k air belongs to the [35%, 65%] interval, the control mode H k+1 of the smart humidifier at the k+1th moment mode is adjusted to "0", that is, humidification is not started; when the value of PT k int is less than -1, or the value of RH k air is less than 35%, the control mode H k+1 of the smart humidifier at the k+1th moment mode is adjusted to "1", the humidifier turns on the regular humidification mode for the room; when the value of PT k int is less than -1, and the value of RH k air is also less than 35%, the k+1th moment of the smart humidifier The control mode H k+1 mode is adjusted to "2", and the humidifier turns on the room in rapid over-humidification mode;

Step 7: Entering the k+1th moment, the smart humidifier re-collects the air temperature and relative humidity at the new moment, recalculates the equivalent thermal comfort index and body temperature, and calculates the weight coefficients W 1 k , W at the new moment 2k ;

Step 8: Repeat the above steps 5, 6, and 7 until the smart humidifier is turned off manually or scheduled.
The smart home dynamic humidification method integrating thermal comfort and body temperature according to claim 1, characterized in that if no other air conditioning device is found to be turned on, the equivalent air flow rate v k air, eqt is equivalent to 0m/ s; If it is found that other air conditioning devices are turned on, the equivalent air flow speed v k air,eqt is set according to the monitored air conditioning wind speed mode;

If the wind speed mode of the air conditioner is third gear, the equivalent air flow speed v k air, eqt at low speed is 0.1m/s, the equivalent air flow speed v k air, eqt at medium speed and automatic speed is 0.2 m/s, and at high speed When the equivalent air flow velocity v k air, eqt is equivalent to 0.3m/s;

If the wind speed mode of the air conditioner is fifth gear, the equivalent air flow speed v k air, eqt is 0.1m/s at 1 grid, the equivalent air flow speed v k air, eqt is 0.15 m/s at 2 grids, and the equivalent air flow speed v k air, eqt at 3 grids is 0.15 m/s. The equivalent air flow velocity v k air, eqt is equivalent to 0.2m/s at the gear position, the equivalent air flow velocity v k air, eqt is equivalent to 0.25 m/s at 4 grids, and the equivalent air flow velocity v k air at 5 grids is eqt is equivalent to 0.3m/s.
The smart home dynamic humidification method integrating thermal comfort and body temperature according to claim 1, characterized in that the equivalent thermal comfort index at the k-th moment is calculated as follows:

PMV eqt is the equivalent thermal comfort index, whose range is equivalent to the average index of seven levels of thermal sensation voting.
The smart home dynamic humidification method integrating thermal comfort and sensory temperature according to claim 1, characterized in that the sensory temperature at the k-th moment is calculated as follows:

is the somatosensory temperature at time k;
is the indoor air temperature at time k;
is the indoor relative humidity at time k;
is the indoor equivalent air flow velocity at time k.
The smart home dynamic humidification method integrating thermal comfort and body temperature according to claim 1, characterized in that if it is not detected that other air conditioning devices in the room are not turned on, the initial assignment weight coefficient W 1 k = W 2 k = 0.5; if it is detected that other air-conditioning devices in the room are turned on, and it is in cooling mode or dehumidification mode, then the initial weight coefficients W 1 k = 0.2, W 2 k = 0.8; if it is detected that other air-conditioning devices in the room are turned on, and they are in cooling mode. In thermal mode, the initial assigned weight coefficients are W 1 k =0.8 and W 2 k =0.2.
The smart home dynamic humidification method integrating thermal comfort and body temperature according to claim 4, characterized in that the weight coefficients W 1 k and W 2 k at the k-th moment are substituted into the following formula to calculate the equivalent value at the k-th moment Fusion value of thermal comfort and body temperature PT k int ;
The smart home dynamic humidification method integrating thermal comfort and body temperature according to claim 1, characterized in that the weight coefficients W 1 k+1 and W 2 k+1 at the new moment are calculated as follows:

in,
and
is the weight coefficient at time k,
is the equivalent thermal comfort index at time k+1,
is the equivalent thermal comfort index at time k,
is the somatosensory temperature at k+1 moment,
is the somatosensory temperature at time k.
A smart home dynamic humidification device that combines thermal comfort and body temperature, which is characterized by including:

processor;

and, a memory for storing executable instructions of the processor;

Wherein, the processor is configured to execute the smart home dynamic humidification method integrating thermal comfort and body temperature according to any one of claims 1 to 7 via executable instructions.