Air purification control method

Abstract

The invention discloses an air purification control method which specifically comprises the following steps that indoor air parameters are detected, and first indoor air data are obtained; calculating the total cross sectional area of an indoor and outdoor ventilation opening, and calculating the indoor sealing degree according to the total cross sectional area of the ventilation opening; outdoor air parameters are detected, and outdoor air second data are obtained; calculating an influence factor of the outdoor environment; comparing the first data with a preset threshold group, and selecting an air purification working mode according to a comparison result; and according to the first data, the sealing degree, the second data and the influence factors, the rotating speed of the draught fan in the working state is adjusted, and therefore the air purification power is controlled. By means of the method, the fan rotating speed most suitable for the current air quality can be calculated, and therefore the most suitable purification power is matched, accurate adjustment of the air purification power is achieved, the air purification effect is improved, and meanwhile energy waste caused by too high purification power is avoided.

Description

Technical Field

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

[0002] In recent years, with the improvement of living standards, indoor air quality has become a topic of increasing concern to humans. Purifying indoor air is conducive to improving people's living environment and ensuring people's health.

[0003] In the prior art, there is already a method of purifying air using an air purifier. In the invention patent with application number CN114659251A and invention name "Control method, device, storage medium and air purifier of air purifier", the environmental parameters of the space to be purified can be obtained, and the target working mode of the air purifier can be matched according to the environmental parameters, and the air purifier can be controlled to operate according to the matched target working mode; the power of the fan can also be adjusted by using the difference between the air quality parameters and air humidity parameters of the space to be purified and the corresponding threshold values.

[0004] However, when purifying indoor air, in addition to the difference between air quality and threshold, there are many other factors that affect purification efficiency, such as window area, outdoor air quality, etc. Therefore, in the above invention patent, the single control method of fan power cannot adapt to complex influencing factors. The impact of these factors on purification efficiency should be considered to adjust the most suitable purification power to achieve efficient purification while avoiding energy loss. Summary of the invention

[0005] The technical problem solved by the present invention is that when indoor air is purified, there are many factors that affect the purification efficiency, and it is difficult to adjust the most suitable purification power.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions: An air purification control method specifically comprises the following steps: Step S1: Detecting indoor air parameters to obtain first indoor air data, wherein the first indoor air data includes carbon dioxide concentration, solid particle concentration and toxic gas concentration in the indoor air; Step S2: calculating the total cross-sectional area of ​​the ventilation openings between indoor and outdoor areas, and calculating the degree of indoor sealing according to the total cross-sectional area of ​​the ventilation openings; Step S3: Detect outdoor air parameters to obtain second outdoor air data, where the second outdoor air data includes carbon dioxide concentration, solid particle concentration, and toxic gas concentration in the outdoor air; Step S4: Obtain outdoor light intensity, temperature, humidity and noise intensity, and calculate the influencing factor of the outdoor environment according to the weights of the light intensity, temperature, humidity and noise intensity; Step S5: comparing the first data with a preset threshold value group, and selecting an air purification working mode according to the comparison result; Step S6: According to the first data, the sealing degree, the second data and the influencing factor, the rotation speed of the fan in the working state is adjusted to control the power of air purification.

[0007] As a preferred embodiment of the air purification control method of the present invention, wherein: Detect the carbon dioxide concentration through a carbon dioxide sensor; Detect solid particle concentration through light scattering sensor; Detect toxic gas concentrations through electrochemical sensors; Detect outdoor light intensity using a light meter; Detect outdoor temperature with a thermometer; Check outdoor humidity with a hygrometer; Use a noise meter to measure outdoor noise levels.

[0008] As a preferred embodiment of the air purification control method of the present invention, wherein: The step S2 specifically includes: Collecting an image of the vent, performing image grayscale processing on the image, and performing image enhancement on the image after the image grayscale processing; The contour of the vent in the enhanced image is extracted using edge detection, and the cross-sectional area of ​​the vent in the image is calculated; According to the magnification ratio of the image, the cross-sectional area of ​​the vent is converted into the actual cross-sectional area of ​​the vent; The calculation formula of the closure degree is:

[0009] in, Indicates the degree of closure, represents the closure coefficient, Indicates The actual cross-sectional area of ​​the vents, Indicates the total number of vents. Represents the volume of the room, where the degree of enclosure is 1 when the total area of ​​the vents is 0.

[0010] As a preferred embodiment of the air purification control method of the present invention, wherein: The calculation formula of the influence factor in step S4 is:

[0011] in, Indicates the influencing factor, Indicates the weight of the influencing factor of light intensity, Indicates the light intensity, Indicates the standard value of light intensity. Indicates the weight of the influencing factor of temperature, Indicates temperature, Indicates the standard value of temperature, Indicates the weight of humidity influencing factors, Indicates humidity, Indicates the standard value of humidity. Indicates the weight of the influencing factor of noise intensity, Indicates the noise intensity, Indicates the standard value of noise intensity.

[0012] As a preferred embodiment of the air purification control method of the present invention, wherein: The step S5 specifically includes: The preset threshold group includes a carbon dioxide concentration threshold, a solid particulate matter concentration threshold and a toxic gas concentration threshold; When the carbon dioxide concentration in the first data is higher than the carbon dioxide concentration threshold, turning on the external circulation mode; When the carbon dioxide concentration in the first data is lower than the carbon dioxide concentration threshold, and the solid particle concentration is greater than the solid particle concentration threshold or the toxic gas concentration is higher than the toxic gas concentration threshold, the internal circulation mode is turned on; When the carbon dioxide concentration, solid particulate matter concentration and toxic gas concentration in the first data are all less than the corresponding concentration thresholds, air purification is not performed.

[0013] As a preferred embodiment of the air purification control method of the present invention, wherein: The step S6 specifically includes: When the fan is in working state, the first data is compared with the preset threshold value group, and the percentages of carbon dioxide concentration, solid particle concentration and toxic gas concentration in the first data exceeding the corresponding threshold values ​​are calculated respectively, and the calculated percentages are recorded as the danger index. The calculation formula of the danger index is:

[0014] in, represents the concentration of the i-th substance in the first data, represents the concentration threshold of the ith substance, represents the hazard index of the ith substance; Mark the substance with the highest risk index as the first target; The fan operating parameters are calculated based on the indoor and outdoor concentration difference, enclosure, and influencing factors of the first target, the fan operating parameters are input into a pre-trained neural network model, and the corresponding fan speed is output to adjust the fan speed.

[0015] As a preferred embodiment of the air purification control method of the present invention, wherein: The calculation formula of the fan operating parameters is:

[0016] in, Indicates the fan operating parameters, Indicates the degree of closure, Indicates the determining factor of the degree of closure on the air purification efficiency. When the air purification mode is the internal circulation mode, Take 1, when the air purification mode is external circulation mode, Take 2, Indicates the influence factor of outdoor environment on indoor air purification. represents the indoor concentration of the first target, represents the outdoor concentration of the first target, represents the indoor volume, Indicates the concentration threshold of the first target.

[0017] As a preferred embodiment of the air purification control method of the present invention, wherein: The training process of the neural network model is: Acquire multiple sets of fan operating parameters and data of fan speeds corresponding to the fan operating parameters; Divide multiple sets of data into 80% training set and 20% test set; The fan operating parameters are used as the input of the neural network model, and the fan speed is used as the output of the neural network model to train the neural network model; The trained neural network model is verified using the test set to obtain a trained neural network model.

[0018] Preferably, the present invention also provides an electronic device, comprising a storage device, a processor, and a computer program stored in the storage device and executable on the processor, wherein the processor implements the air purification control method according to any one of claims 1 to 8 when executing the computer program.

[0019] Preferably, the present invention also provides a computer-readable storage medium, characterized in that a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the air purification control method according to any one of claims 1 to 8 is implemented.

[0020] Compared with the prior art, the present invention has the following beneficial effects: The present invention detects first data of indoor air, compares the first data with a preset threshold, selects an air purification working mode according to the comparison result, and then calculates the fan speed most suitable for the current air quality in combination with multiple influencing factors such as the area of ​​the vents between indoor and outdoor, second data of outdoor air, outdoor light intensity, temperature, humidity and noise intensity, so as to match the most suitable purification power, thereby achieving precise adjustment of the air purification power, improving the effect of air purification, and also avoiding energy waste caused by excessive purification power. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 A basic flow chart of an air purification control method provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0022] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings. It is obvious that the described embodiments are only part of the embodiments of the present invention, but not all of the embodiments.

[0023] Example 1, reference Figure 1 , as an embodiment of the present invention, provides an air purification control method, comprising: Step S1: Detecting indoor air parameters to obtain first indoor air data, wherein the first indoor air data includes carbon dioxide concentration, solid particle concentration and toxic gas concentration in the indoor air; Step S2: calculating the total cross-sectional area of ​​the ventilation openings between indoor and outdoor areas, and calculating the degree of indoor sealing according to the total cross-sectional area of ​​the ventilation openings; Step S3: Detect outdoor air parameters to obtain second outdoor air data, where the second outdoor air data includes carbon dioxide concentration, solid particle concentration, and toxic gas concentration in the outdoor air; Step S4: Obtain outdoor light intensity, temperature, humidity and noise intensity, and calculate the influencing factor of the outdoor environment according to the weights of the light intensity, temperature, humidity and noise intensity; Step S5: comparing the first data with a preset threshold value group, and selecting an air purification working mode according to the comparison result; Step S6: According to the first data, the sealing degree, the second data and the influencing factor, the rotation speed of the fan in the working state is adjusted to control the power of air purification.

[0024] In this embodiment, the working modes of air purification include an internal circulation mode and an external circulation mode. The internal circulation mode is to suck the indoor air into the purification device, and then release it back to the room after a series of treatments such as filtering. Its advantage is low energy consumption, but its disadvantage is that it does not introduce fresh outside air. Long-term use of the internal circulation purification mode will lead to excessively high indoor carbon dioxide concentration; the external circulation mode is to introduce outdoor air into the room after a series of treatments such as filtering. Its advantage is that it can keep the indoor air fresh, but the energy consumption of the external circulation purification mode is relatively large. Selecting the working mode according to the comparison relationship between the first indoor data and the preset threshold can ensure efficient purification while saving energy consumption.

[0025] Among them, toxic gases include but are not limited to sulfur dioxide, nitrogen dioxide and nitric oxide. The specific types of substances detected can be determined according to the user's own needs.

[0026] Detect the carbon dioxide concentration through a carbon dioxide sensor; Detect solid particle concentration through light scattering sensor; Detect toxic gas concentrations through electrochemical sensors; Detect outdoor light intensity using a light meter; Detect outdoor temperature with a thermometer; Check outdoor humidity with a hygrometer; Use a noise meter to measure outdoor noise levels.

[0027] The step S2 specifically includes: Collecting an image of the vent, performing image grayscale processing on the image, and performing image enhancement on the image after the image grayscale processing; The contour of the vent in the enhanced image is extracted using edge detection, and the cross-sectional area of ​​the vent in the image is calculated; According to the magnification ratio of the image, the cross-sectional area of ​​the vent is converted into the actual cross-sectional area of ​​the vent; The calculation formula of the closure degree is:

[0028] in, Indicates the degree of closure, represents the closure coefficient, Indicates The actual cross-sectional area of ​​the vents, Indicates the total number of vents. Represents the volume of the room, where the degree of enclosure is 1 when the total area of ​​the vents is 0.

[0029] In this embodiment, the vents include but are not limited to open doors and windows. During the air purification process, if there are vents between indoor and outdoor, the outdoor air will carry some pollutants into the room, thereby having a negative impact on the indoor air purification process. Therefore, considering the impact of the degree of closure on the air purification power can improve the accuracy of adjusting the purification power.

[0030] The calculation formula of the influence factor in step S4 is:

[0031] in, Indicates the influencing factor, Indicates the weight of the influencing factor of light intensity, Indicates the light intensity, Indicates the standard value of light intensity. Indicates the weight of the influencing factor of temperature, Indicates temperature, Indicates the standard value of temperature, Indicates the weight of humidity influencing factors, Indicates humidity, Indicates the standard value of humidity. Indicates the weight of the influencing factor of noise intensity, Indicates the noise intensity, Indicates the noise standard value.

[0032] The step S5 specifically includes: The preset threshold group includes a carbon dioxide concentration threshold, a solid particulate matter concentration threshold and a toxic gas concentration threshold; When the carbon dioxide concentration in the first data is higher than the carbon dioxide concentration threshold, turning on the external circulation mode; When the carbon dioxide concentration in the first data is lower than the carbon dioxide concentration threshold, and the solid particle concentration is greater than the solid particle concentration threshold or the toxic gas concentration is higher than the toxic gas concentration threshold, the internal circulation mode is turned on; When the carbon dioxide concentration, solid particulate matter concentration and toxic gas concentration in the first data are all less than the corresponding concentration thresholds, air purification is not performed.

[0033] In this embodiment, when the indoor carbon dioxide concentration is too high, the external circulation mode is selected to keep the indoor air fresh; when the carbon dioxide concentration is not high but the concentration of other pollutants is high, the internal circulation mode is selected to purify the indoor air without consuming too much energy.

[0034] The step S6 specifically includes: When the fan is in working state, the first data is compared with the preset threshold value group, and the percentages of carbon dioxide concentration, solid particle concentration and toxic gas concentration in the first data exceeding the corresponding threshold values ​​are calculated respectively, and the calculated percentages are recorded as the danger index. The calculation formula of the danger index is:

[0035] in, represents the concentration of the i-th substance in the first data, represents the concentration threshold of the ith substance, represents the hazard index of the ith substance; Mark the substance with the highest risk index as the first target; The fan operating parameters are calculated based on the indoor and outdoor concentration difference, enclosure, and influencing factors of the first target, the fan operating parameters are input into a pre-trained neural network model, and the corresponding fan speed is output to adjust the fan speed.

[0036] In this embodiment, the substance that exceeds the corresponding concentration threshold by the largest percentage is taken as the first target with the largest risk index, that is, the substance with the highest pollution level. The substance with the highest pollution level is taken as one of the decisive factors for adjusting the purification power, thereby improving the purification effect.

[0037] The calculation formula of the fan operating parameters is:

[0038] in, Indicates the fan operating parameters, Indicates the degree of closure, Indicates the determining factor of the degree of closure on the air purification efficiency. When the air purification mode is the internal circulation mode, Take 1, when the air purification mode is external circulation mode, Take 2, Indicates the influence factor of outdoor environment on indoor air purification. represents the indoor concentration of the first target, represents the outdoor concentration of the first target, represents the indoor volume, Indicates the concentration threshold of the first target.

[0039] The training process of the neural network model is: Acquire multiple sets of fan operating parameters and data of fan speeds corresponding to the fan operating parameters; Divide multiple sets of data into 80% training set and 20% test set; The fan operating parameters are used as the input of the neural network model, and the fan speed is used as the output of the neural network model to train the neural network model; The trained neural network model is verified using the test set to obtain a trained neural network model.

[0040] The present invention detects first data of indoor air, compares the first data with a preset threshold, selects an air purification working mode according to the comparison result, and then calculates the fan speed most suitable for the current air quality in combination with multiple influencing factors such as the area of ​​the vents between indoor and outdoor, second data of outdoor air, outdoor light intensity, temperature, humidity and noise intensity, so as to match the most suitable purification power, thereby achieving precise adjustment of the air purification power, improving the effect of air purification, and also avoiding energy waste caused by excessive purification power.

[0041] It should be understood by those skilled in the art that the embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media containing computer-usable program codes. Among them, the storage medium may be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (Static Random Access Memory, referred to as SRAM), electrically erasable programmable read-only memory (Electrically Erasable Programmable Read-Only Memory, referred to as EEPROM), erasable programmable read-only memory (Erasable Programmable Read Only Memory, referred to as EPROM), programmable read-only memory (Programmable Red-Only Memory, referred to as PROM), read-only memory (Read-Only Memory, referred to as ROM), magnetic memory, flash memory, magnetic disk or optical disk. These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0042] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. An air purification control method, characterized in that: The specific steps include: Step S1: Detecting indoor air parameters to obtain first indoor air data, wherein the first indoor air data includes carbon dioxide concentration, solid particle concentration and toxic gas concentration in the indoor air; Step S2: calculating the total cross-sectional area of ​​the ventilation openings between indoor and outdoor areas, and calculating the degree of indoor sealing according to the total cross-sectional area of ​​the ventilation openings; Step S3: Detect outdoor air parameters to obtain second outdoor air data, where the second outdoor air data includes carbon dioxide concentration, solid particle concentration, and toxic gas concentration in the outdoor air; Step S4: Obtain outdoor light intensity, temperature, humidity and noise intensity, and calculate the influencing factor of the outdoor environment according to the weights of the light intensity, temperature, humidity and noise intensity; Step S5: comparing the first data with a preset threshold value group, and selecting an air purification working mode according to the comparison result; Step S6: According to the first data, the sealing degree, the second data and the influencing factor, the rotation speed of the fan in the working state is adjusted to control the power of air purification.

2. An air purification control method as claimed in claim 1, characterized in that: Detect the carbon dioxide concentration through a carbon dioxide sensor; Detect solid particle concentration through light scattering sensor; Detect toxic gas concentrations through electrochemical sensors; Detect outdoor light intensity using a light meter; Detect outdoor temperature with a thermometer; Check outdoor humidity with a hygrometer; Use a noise meter to measure outdoor noise levels.

3. An air purification control method as claimed in claim 1, characterized in that: The step S2 specifically includes: Collecting an image of the vent, performing image grayscale processing on the image, and performing image enhancement on the image after the image grayscale processing; The contour of the vent in the enhanced image is extracted using edge detection, and the cross-sectional area of ​​the vent in the image is calculated; According to the magnification ratio of the image, the cross-sectional area of ​​the vent is converted into the actual cross-sectional area of ​​the vent; The calculation formula of the closure degree is: ； in, Indicates the degree of closure, represents the closure coefficient, Indicates The actual cross-sectional area of ​​the vents, Indicates the total number of vents. Represents the volume of the room, where the degree of enclosure is 1 when the total area of ​​the vents is 0.

4. An air purification control method as claimed in claim 1, characterized in that: The calculation formula of the influence factor in step S4 is: ； in, Indicates the influencing factor, Indicates the weight of the influencing factor of light intensity. Indicates the light intensity, Indicates the standard value of light intensity. Indicates the weight of the influencing factor of temperature, Indicates temperature, Indicates the standard value of temperature. Indicates the weight of humidity influencing factors, Indicates humidity, Indicates the standard value of humidity. Indicates the weight of the influencing factor of noise intensity, Indicates the noise intensity, Indicates the standard value of noise intensity.

5. An air purification control method as claimed in claim 1, characterized in that: The step S5 specifically includes: The preset threshold group includes a carbon dioxide concentration threshold, a solid particulate matter concentration threshold and a toxic gas concentration threshold; When the carbon dioxide concentration in the first data is higher than the carbon dioxide concentration threshold, turning on the external circulation mode; When the carbon dioxide concentration in the first data is lower than the carbon dioxide concentration threshold, and the solid particle concentration is greater than the solid particle concentration threshold or the toxic gas concentration is higher than the toxic gas concentration threshold, the internal circulation mode is turned on; When the carbon dioxide concentration, solid particulate matter concentration and toxic gas concentration in the first data are all less than the corresponding concentration thresholds, air purification is not performed.

6. An air purification control method as claimed in claim 1, characterized in that: The step S6 specifically includes: When the fan is in working state, the first data is compared with the preset threshold value group, and the percentages of carbon dioxide concentration, solid particle concentration and toxic gas concentration in the first data exceeding the corresponding threshold values ​​are calculated respectively, and the calculated percentages are recorded as the danger index. The calculation formula of the danger index is: ； in, represents the concentration of the i-th substance in the first data, represents the concentration threshold of the i-th substance, represents the hazard index of the ith substance; Mark the substance with the highest risk index as the first target; The fan operating parameters are calculated based on the indoor and outdoor concentration difference, enclosure, and influencing factors of the first target, the fan operating parameters are input into a pre-trained neural network model, and the corresponding fan speed is output to adjust the fan speed.

7. An air purification control method as claimed in claim 6, characterized in that: The calculation formula of the fan operating parameters is: ； in, Indicates the fan operating parameters, Indicates the degree of closure, Indicates the determining factor of the degree of closure on the air purification efficiency. When the air purification mode is the internal circulation mode, Take 1, when the air purification mode is external circulation mode, Take 2, Indicates the influence factor of outdoor environment on indoor air purification. represents the indoor concentration of the first target, represents the outdoor concentration of the first target, represents the indoor volume, Indicates the concentration threshold of the first target.

8. An air purification control method as claimed in claim 6, characterized in that: The training process of the neural network model is: Acquire multiple sets of fan operating parameters and data of fan speeds corresponding to the fan operating parameters; Divide multiple sets of data into 80% training set and 20% test set; The fan operating parameters are used as the input of the neural network model, and the fan speed is used as the output of the neural network model to train the neural network model; The trained neural network model is verified using the test set to obtain a trained neural network model.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, an air purification control method according to any one of claims 1 to 8 is implemented.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the air purification control method according to any one of claims 1 to 8 is implemented.

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