A fresh air conditioner control method and device and storage medium
By using an IoT module and an adaptive learning algorithm-based TVOC detection module, combined with indoor and outdoor environmental parameters, the system intelligently controls the operation mode and fan speed of the fresh air conditioner, solving the problems of comfort and air quality in the fresh air conditioner, and improving user experience and optimizing air quality.
Patent Information
- Application Number
- CN202310515086.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2023-05-09
- Publication Date
- 2025-12-30
- Estimated Expiration
- 2043-05-09
AI Technical Summary
Existing fresh air conditioners offer poor comfort and user experience when improving air quality, and lack effective air monitoring methods and human-computer interaction.
The TVOC detection module, which employs an IoT module and an adaptive learning algorithm, combines indoor and outdoor temperature, humidity, and volatile organic compound concentrations. Through a dual-duct structure, it achieves intelligent control of different operating modes and fan speeds, prioritizing user comfort and air quality.
It achieves intelligent adjustment of fresh air volume, optimization of air quality, prevention of condensation, and improvement of user experience while ensuring user thermal comfort, and reduces the distortion of detection data through adaptive learning algorithms.
Smart Images

Figure CN116518537B_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of air conditioning technology, and more specifically, to a fresh air conditioning control method, device, and storage medium. Background Technology
[0002] As people's living standards improve, higher demands are being placed on air conditioners, requiring them to not only regulate temperature but also improve indoor air quality. Currently, household air conditioners with fresh air functions are becoming increasingly common, providing users with a better experience.
[0003] The working principle of a fresh air conditioning system is generally as follows: it monitors indoor air quality, and when the indoor air quality is poor, it draws in outdoor air and brings it indoors. The quality of outdoor air and the volume of fresh air entering the room directly determine the freshness of the room's air. At the same time, if the volume of fresh air is too large, it will affect indoor thermal comfort; if it is too small, the air purification effect will be weakened. Currently, most fresh air conditioning systems are user-adjustable, highly subjective, lack air quality monitoring methods, have weak human-computer interaction, and offer a flawed user experience.
[0004] To address this, the applicant's earlier Chinese patent application, application number 202211128799.3, discloses a method for controlling a fresh air conditioning system. This method includes, if the fresh air function is activated, acquiring the outdoor ambient temperature, indoor ambient temperature, a set target temperature, and indoor air quality; and controlling the opening and closing of the intake and exhaust valves of the fresh air device based on the temperature difference between the outdoor ambient temperature, the indoor ambient temperature, and the set target temperature, as well as the indoor air quality. While this solution can achieve automatic control of the fresh air supply to the air conditioner, it is not ideal in terms of balancing air quality improvement with user comfort, as it cannot adapt to the air conditioner's operating mode.
[0005] In view of this, the present invention is hereby proposed. Summary of the Invention
[0006] The problem solved by this invention is that existing fresh air conditioners have poor comfort and poor user experience when improving air quality.
[0007] To address the above problems, this invention provides a control method for a fresh air conditioning unit, applied to a fresh air conditioning unit. The fresh air conditioning unit is equipped with an Internet of Things (IoT) module, a TVOC detection module with an adaptive learning algorithm, and a fresh air module. The fresh air module has a dual-duct structure and includes:
[0008] S1. If a command to turn on the fresh air module is received, then obtain the set temperature T. s Indoor temperature T n Outdoor temperature T w Outdoor humidity (RH) 外 and indoor total volatile organic compound (TVOC) concentration;
[0009] S2. Based on the air conditioning operation mode, according to the outdoor temperature T w Indoor temperature T n With the set temperature T s Temperature difference ΔT, outdoor humidity RH 外 and indoor temperature T n The indoor total volatile organic compound (TVOC) concentration is used to determine the operating mode and initial setting of the fresh air module.
[0010] Preferably, step S2 includes:
[0011] S21. If the air conditioner is running in cooling or dehumidification mode, determine whether the outdoor temperature Tw > T. w1 If yes, the fresh air module remains closed; otherwise, proceed to step S22. As an example of the present invention, the T... w1 It can be 38℃, 40℃, or 42℃.
[0012] S22. Determine whether the temperature difference ΔT > T1. If yes, the fresh air module runs the formaldehyde removal mode; if no, proceed to step S23. As an example of the present invention, T1 can be 1.5℃, 2.0℃, or 2.5℃.
[0013] S23. Determine if the outdoor humidity is RH. 外 If RH1 > T1 and indoor temperature Tn > T2, then the fresh air module operates in formaldehyde removal mode; otherwise, the operating mode and fan speed of the fresh air module are determined based on the indoor TVOC concentration. As an example of the present invention, RH1 can be 63%, 65%, or 67%, and T2 can be 25°C, 26°C, or 27°C.
[0014] When outdoor humidity is high, the formaldehyde removal mode should be activated first to ensure the thermal comfort of the human body, resulting in a better user experience. Typically, the initial fan speed for formaldehyde removal mode is medium, for oxygenation mode it's low, and for strong purification mode it's high. This setting prioritizes user comfort while improving indoor air quality.
[0015] Preferably, step S2 further includes:
[0016] S24. If the air conditioner is running in heating mode, determine whether the outdoor temperature Tw < T w2 If yes, the fresh air module remains closed; otherwise, proceed to step S25. As an example of the present invention, the T... w2 It can be -10℃, -8℃, or -12℃.
[0017] S25. Determine if the temperature difference ΔT < T3. If yes, the fresh air module operates in formaldehyde removal mode; otherwise, determine the operating mode and fan speed of the fresh air module based on the indoor TVOC concentration. As an example of the present invention, T3 can be -1.8℃, -2.0℃, or -2.2℃.
[0018] Preferably, step S2 further includes:
[0019] S26. If the air conditioner is in ventilation mode, the operating mode and fan speed of the fresh air module shall be determined according to the indoor TVOC concentration.
[0020] Preferably, determining the operating mode and fan speed of the fresh air module based on the indoor TVOC concentration includes:
[0021] S31. Determine if the TVOC output value is ≥ A1. If yes, the fresh air module will run in strong purification mode; otherwise, proceed to step S32.
[0022] S32. Determine if the TVOC output value is < A2. If yes, the fresh air module will operate in oxygenation mode; otherwise, the fresh air module will operate in formaldehyde removal mode.
[0023] As an example of the present invention, A1 and A2 are 250 and 100 respectively, or A1 and A2 are 300 and 150 respectively.
[0024] Preferably, step S31 includes:
[0025] S311. Determine whether the TVOC output value is ≥ A1. If yes, proceed to step S312; otherwise, proceed to step S32.
[0026] S312. Determine whether the air conditioner fan speed M1 is less than the fresh air fan speed M2. If yes, the fresh air module will run in strong purification mode at a high fan speed; if no, the fresh air module will run in strong purification mode at a medium fan speed.
[0027] Preferably, step S32 includes:
[0028] S321. Determine if the TVOC output value is < A2. If yes, the fresh air module will run in oxygenation mode and at a low fan speed. If no, proceed to step S322.
[0029] S322. Determine whether the air conditioner fan speed M1 is less than the fresh air fan speed M2. If yes, the fresh air module will run in formaldehyde removal mode at a low fan speed; if no, the fresh air module will run in formaldehyde removal mode at a medium fan speed.
[0030] Preferably, the adaptive learning algorithm includes:
[0031] S01. The air conditioner performs adaptive learning to obtain the baseline value A;
[0032] S02. Detect and determine the TVOC concentration at times t0 and T1. T0 TVOC T1 Does it meet TVOC requirements? T0 >TVOC T1 If yes, then the baseline value A = A; otherwise, proceed to step S03.
[0033] S03, Determine if TVOC is present T0 -TVOC T1 If ≤B1, then the reference value A = ζ1A; if yes, then proceed to step S04.
[0034] S04. Determine if TVOC is present. T0 -TVOC T1 >B2, if yes, then the reference value A = ζ3A; if no, then the reference value A = ζ2A.
[0035] As an example of the present invention, B1 and B2 are each 0.05 mg / m³. 3 0.1 mg / m 3 The values of ζ1, ζ2, and ζ3 are 0.95, 0.8, and 0.6-0.75, respectively. The adaptive learning of the TVOC detection module supports one-click factory reset and has built-in factory reference value A and sensitivity T for user convenience.
[0036] Compared with the prior art, the control method of the fresh air conditioner of the present invention has the following beneficial effects: 1) It can realize one-button operation, associate indoor and outdoor temperature and humidity to achieve optimal fresh air purification control, and adjust the fresh air purification operation mode and fan speed control according to the air conditioner fan speed to realize the linkage between the inner and outer environments to meet different environmental needs; 2) It combines indoor temperature and outdoor relative humidity to realize the fresh air anti-condensation function; 3) The TVOC detection module has an adaptive learning algorithm, which sets correction parameters for the benchmark value in the deep learning stage to prevent the benchmark value from being affected by sudden changes in external background concentration, and effectively avoids the distortion of detection data.
[0037] The present invention also provides a control device for a fresh air conditioner, capable of implementing the above-mentioned control method for a fresh air conditioner. The control device includes: an acquisition module, used to acquire the set temperature Ts, indoor temperature Tn, outdoor temperature Tw, outdoor humidity RH, and indoor total volatile organic compound (TVOC) concentration after receiving a fresh air module start command; and a control module, used to control the operating mode and fan speed of the fresh air module based on the set temperature Ts, indoor temperature Tn, outdoor temperature Tw, outdoor humidity RH, and indoor TVOC concentration.
[0038] The present invention also provides a computer-readable storage medium storing a computer program, which, when read and executed by a processor, implements the aforementioned control method for a fresh air conditioner. The control device and computer-readable storage medium have the same beneficial effects as the control method for the fresh air conditioner, and will not be elaborated upon here. Attached Figure Description
[0039] Figure 1 This is a schematic flowchart of a fresh air conditioning control method according to an embodiment of the present invention;
[0040] Figure 2 This is another schematic flowchart of the control method for the fresh air conditioner described in an embodiment of the present invention;
[0041] Figure 3 This is another schematic diagram of the control method for the fresh air conditioner described in the embodiment of the present invention;
[0042] Figure 4 This is a flowchart illustrating the adaptive learning algorithm described in an embodiment of the present invention. Detailed Implementation
[0043] To make the above-mentioned objects, features, and advantages of the present invention more apparent and understandable, specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
[0044] This invention provides a control method for a fresh air conditioner, applied to a fresh air conditioner. The fresh air conditioner is equipped with an Internet of Things (IoT) module to monitor outdoor temperature and humidity in real time, and a TVOC detection module with an adaptive learning algorithm to monitor indoor TVOC concentration and obtain TVOC output values. The fresh air module is a dual-duct structure including an intake duct and an exhaust duct, enabling "internal absorption" (oxygenation mode), "external exhaust" (formaldehyde removal mode), and "simultaneous absorption and exhaust" (strong purification mode). The fresh air conditioner is equipped with a temperature sensor to detect indoor temperature.
[0045] like Figure 1 As shown, the control method for the fresh air conditioner includes:
[0046] S1. Determine if a command to turn on the fresh air module has been received. If so, obtain the set temperature T. s Indoor temperature T n Outdoor temperature T w Outdoor humidity (RH) 外 And the indoor total volatile organic compound (TVOC) concentration; if not, the air conditioner is operating normally;
[0047] S2. Based on the air conditioning operation mode, according to the outdoor temperature T w Indoor temperature T n With the set temperature T s Temperature difference ΔT, outdoor humidity RH 外 and indoor temperature T n The indoor total volatile organic compound (TVOC) concentration is used to determine the operating mode and initial setting of the fresh air module.
[0048] The control method for the fresh air conditioner, while ensuring the user's thermal comfort, detects the set temperature Ts, indoor temperature Tn, and outdoor temperature T. W Indoor TVOC concentration, outdoor air humidity (RH) 外 These parameters are used to adjust indoor air quality, enabling one-click intelligent operation and achieving the best indoor thermal comfort.
[0049] Specifically, such as Figure 2 As shown, step S2 includes:
[0050] Step S2 includes:
[0051] S21. If the air conditioner is running in cooling or dehumidification mode, determine whether the outdoor temperature Tw > T. w1 If yes, the fresh air module remains closed; otherwise, proceed to step S22. As an example of the present invention, the T... w1 It can be 38℃, 40℃, or 42℃.
[0052] Preferably, step S21 further includes:
[0053] S211. If the air conditioner is running in cooling or dehumidification mode, determine whether the outdoor temperature Tw > T. w1 If yes, proceed to step S212; otherwise, proceed to step S22.
[0054] S212. Determine whether the fresh air module has received another command to turn on. If yes, the fresh air module will run in formaldehyde removal mode; otherwise, the fresh air module will remain off.
[0055] This setting ensures that the fresh air system is in formaldehyde removal mode when the user forces it on, but operates at a low fan speed to reduce indoor heat load loss and avoid affecting human thermal comfort. It also prevents condensation from forming after the fresh air enters the room, resulting in a better user experience.
[0056] S22. Determine if the temperature difference ΔT > T1. If yes, the fresh air module operates in formaldehyde removal mode; otherwise, proceed to step S23. By default entering formaldehyde removal mode, the loss of indoor cooling capacity can be reduced, resulting in a better user experience. As an example of the present invention, T1 can be 1.5℃, 2.0℃, or 2.5℃.
[0057] S23. Determine if the outdoor humidity is RH. 外 If the indoor temperature Tn is greater than T2 and the RH1 is greater than T2, the fresh air module will operate in formaldehyde removal mode; otherwise, the operating mode and fan speed of the fresh air module will be determined according to the indoor TVOC concentration.
[0058] As an example of the present invention, RH1 can be 63%, 65%, or 67%, and T2 can be 25°C, 26°C, or 27°C. Considering the prevention of condensation in fresh air and human thermal comfort, when the outdoor humidity is too high, condensation may occur near the fresh air vent if the oxygenation or strong purification mode is operated. The formaldehyde removal mode can achieve fresh air purification and has a good anti-condensation effect.
[0059] S24. If the air conditioner is running in heating mode, determine whether the outdoor temperature Tw < T w2 If yes, the fresh air module remains closed; otherwise, proceed to step S25. As an example of the present invention, the T... w2 It can be -10℃, -8℃, or -12℃.
[0060] S25. Determine if the temperature difference ΔT < T3. If yes, the fresh air module operates in formaldehyde removal mode; otherwise, determine the operating mode and fan speed of the fresh air module based on the indoor TVOC concentration. As an example of the present invention, T3 can be -1.8℃, -2.0℃, or -2.2℃.
[0061] S26. If the air conditioner is in ventilation mode, the operating mode and fan speed of the fresh air module shall be determined according to the indoor TVOC concentration.
[0062] As an example of the present invention, determining the operating mode and fan speed of the fresh air module based on the indoor TVOC concentration includes the following steps:
[0063] S31. Determine if the TVOC output value is ≥ A1. If yes, the fresh air module will run in strong purification mode; otherwise, proceed to step S32.
[0064] Preferably, step S31 includes:
[0065] S311. Determine whether the TVOC output value is ≥ A1. If yes, proceed to step S312; otherwise, proceed to step S32.
[0066] S312. Determine whether the air conditioner fan speed M1 is less than the fresh air fan speed M2. If yes, the fresh air module will run in strong purification mode at a high fan speed; if no, the fresh air module will run in strong purification mode at a medium fan speed.
[0067] S32. Determine if the TVOC output value is < A2. If yes, the fresh air module will operate in oxygenation mode; otherwise, the fresh air module will operate in formaldehyde removal mode.
[0068] Preferably, step S32 includes:
[0069] S321. Determine if the TVOC output value is < A2. If yes, the fresh air module will run in oxygenation mode and at a low fan speed. If no, proceed to step S322.
[0070] S322. Determine whether the air conditioner fan speed M1 is less than the fresh air fan speed M2. If yes, the fresh air module will run in formaldehyde removal mode at a low fan speed; if no, the fresh air module will run in formaldehyde removal mode at a medium fan speed.
[0071] Normally, when the fresh air purification fan speed is higher than the air conditioner's fan speed, the human body's thermal comfort is poor; in this case, lowering the fresh air fan speed to M2 can improve the user experience.
[0072] As an example of the present invention, A1 is 250 and A2 is 100. When the TVOC concentration is decreasing, if the detected TVOC output value is ≥250, the air quality is "poor," and the fresh air purification indicator on the air conditioner display panel shows a "red light"; if the detected TVOC output value is 100≤TVOC<250, the air quality is "good," and the fresh air purification indicator on the air conditioner display panel shows a "yellow light"; if the detected TVOC output value is <100, the air quality is "excellent," and the fresh air purification indicator on the air conditioner display panel shows a "green light." When the air conditioner is powered on for the first time, it defaults to a decreasing trend.
[0073] When the TVOC concentration is rising, if the detected TVOC output value is <150, the air quality is "excellent"; the fresh air purification indicator on the air conditioner display panel will show a "green light". If the detected TVOC output value is 150≤TVOC≤300, the air quality is "good"; the fresh air purification indicator on the air conditioner display panel will show a "yellow light". If the detected TVOC output value is >300, the air quality is "poor"; the fresh air purification indicator on the air conditioner display panel will show a "red light".
[0074] like Figure 4 As shown, the adaptive learning algorithm of the TVOC detection module includes:
[0075] S01. The air conditioner performs adaptive learning to obtain the baseline value A and the sensitivity T.
[0076] After the air conditioner is powered on for the first time, the TVOC detection module performs adaptive learning. If the power-on duration is less than 1 minute, the default output air quality is "good"; if the air conditioner's power-on duration is 1 minute or more, the TVOC detection module can detect normally. The adaptive learning algorithm is as follows:
[0077] The adaptive learning of the TVOC detection module includes learning the baseline value A and the sensitivity T.
[0078] For example, the environmental baseline value A is primarily used to map the average background concentration of TVOC over a past period to an output value of 100; the sensitivity T is primarily used to map the generated TVOC index value to a fixed scale between 1 and 500, for example, the lowest value over the past year or month is 0, and the highest value is 500. The specific learning process is as follows:
[0079] When the air conditioner is first powered on, the TVOC detection module initializes for N minutes, such as 3 minutes, 7 minutes, 10 minutes, etc., to activate the TVOC detection module. At this time, the learning of the TVOC detection module is in the off state, and it outputs "LL", with the air quality defaulting to "good".
[0080] After initialization, the TVOC detection module will enter adaptive learning for 60 minutes. It learns from the environmental conditions using an algorithm to output a TVOC index value for user convenience. For example, from 0 to 40 minutes, it learns from the baseline value A to determine the TVOC background concentration corresponding to an output index of 100. From 40 to 60 minutes, it learns from the sensitivity T to determine the TVOC background concentration corresponding to an output index of 0 to 500.
[0081] Preferably, after completing adaptive learning, the TVOC detection module performs deep learning according to a 24-hour sliding window cycle. The first 16 hours are used to learn the baseline value A1, that is, the average TVOC background concentration is used as the baseline, and the corresponding output is 100. The 16th to 24th hours are used to learn the sensitivity T1, that is, the corresponding output is 0-500.
[0082] S02. Detect and determine the TVOC concentration at times t0 and T1. T0 TVOC T1 Does it meet TVOC requirements? T0 >TVOC T1 If yes, then the baseline value A = A; otherwise, proceed to step S03. During deep learning, the sliding window learning of the baseline value A1 is easily affected by sudden changes in the external background concentration. The baseline value is corrected to avoid distortion of the detection data.
[0083] S03, Determine if TVOC is present T0 -TVOC T1 If ≤B1, then the reference value A = ζ1A; otherwise, proceed to step S04.
[0084] S04. Determine if TVOC is present. T0 -TVOC T1 >B2, if yes, then the baseline value A = ζ3A; if no, then the baseline value A = ζ2A. This setting avoids the influence of sudden changes in external background concentration, thus preventing distortion of the detection data.
[0085] As an example of the present invention, B1 and B2 are each 0.05 mg / m³. 3 0.1 mg / m 3 The values of ζ1, ζ2, and ζ3 are 0.95, 0.8, and 0.6-0.75, respectively. The adaptive learning of the TVOC detection module supports one-click factory reset and has built-in factory reference value A and sensitivity T for user convenience.
[0086] The present invention also provides a control device for a fresh air conditioner, capable of implementing the above-mentioned control method for a fresh air conditioner. The control device includes: an acquisition module, including an Internet of Things module and a TVOC detection module, used to acquire the set temperature Ts, indoor temperature Tn, outdoor temperature Tw, outdoor humidity RH, and indoor total volatile organic compound (TVOC) concentration after receiving a fresh air module start command; and a control module, used to control the operating mode and fan speed of the fresh air module based on the set temperature Ts, indoor temperature Tn, outdoor temperature Tw, outdoor humidity RH, and indoor TVOC concentration.
[0087] The present invention also provides a computer-readable storage medium storing a computer program, which, when read and executed by a processor, implements the aforementioned control method for a fresh air conditioner. The computer-readable storage medium can be a readable storage medium or a readable signal medium, such as a USB flash drive, portable hard drive, ROM, RAM, magnetic disk, or optical disk.
[0088] In the embodiments provided in this application, 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 instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or units may be electrical, mechanical, or other forms.
[0089] While the present invention has been disclosed above, it is not limited thereto. Any person skilled in the art can make various modifications and alterations without departing from the spirit and scope of the invention; therefore, the scope of protection of the present invention should be determined by the scope defined in the claims.
Claims
1. A control method of a fresh air conditioner, applied to a fresh air conditioner, the fresh air conditioner being provided with an Internet of Things module, a TVOC detection module with a self-adaptive learning algorithm, and a fresh air module, the fresh air module being a double-air duct structure comprising an air inlet pipeline and an air outlet pipeline, characterized in that, include: S1, if a new air module opening instruction is received, the set temperature T is obtained s , indoor temperature T n , outdoor temperature T w , outdoor humidity RH 外 and indoor total volatile organic compound concentration TVOC; S2, determining the operation mode and initial gear of the fresh air module based on the air conditioner operation mode and according to the outdoor temperature T w , the indoor temperature T n , the temperature difference ΔT between the indoor temperature T s and the set temperature T 外 , the outdoor humidity RH n , and the indoor total volatile organic compound concentration TVOC; Step S2 includes: S21, if the air conditioner runs in the cooling or dehumidifying mode, it is judged whether the outdoor temperature T w > T w1 , if yes, the fresh air module is still closed; if no, it goes to step S22; S22. Determine if the temperature difference ΔT > T1. If yes, the fresh air module will run in formaldehyde removal mode; otherwise, proceed to step S23. S23, judging whether the outdoor humidity RH 外 > RH1 and the indoor temperature T n > T2, if yes, the fresh air module runs the formaldehyde removal mode; if no, the operation mode and the air damper of the fresh air module are determined according to the indoor TVOC concentration, including: S31, judging whether the TVOC output value is greater than or equal to A1, if yes, the fresh air module runs the strong purification mode; if no, entering step S32; S32, judging whether the TVOC output value is less than A2, wherein A1>A2, if yes, the fresh air module runs the oxygen increasing mode; if no, the fresh air module runs the formaldehyde removal mode; S24, if the air conditioner runs in the heating mode, it is judged whether the outdoor temperature T w <T w2 , wherein T w2 <T W1 , if yes, the fresh air module is still closed; if no, it goes to step S25; S25. Determine whether the temperature difference ΔT < T3, where T3 < T1. If yes, the fresh air module will operate in formaldehyde removal mode; otherwise, determine the operating mode and fan speed of the fresh air module based on the indoor TVOC concentration. S26. If the air conditioner is in ventilation mode, the operating mode and fan speed of the fresh air module shall be determined according to the indoor TVOC concentration. The adaptive learning algorithm includes: S01. The air conditioner performs adaptive learning to obtain the baseline value A; S02, detecting and judging the TVOC concentration TVOC at t0, t1 T0 TVOC T1 whether TVOC T0 TVOC T1 , if not, the reference value is A; if yes, entering step S03; S03, determining whether TVOC T0 TVOC T1 ≤ B1, if yes, the reference value is ζ1A; if no, go to step S04; S04, determining whether TVOC T0 TVOC T1 B2, where B1 < B2, if yes, the reference value is ζ3A; if no, the reference value is ζ2A, the values of ζ1, ζ2, ζ3 are respectively 0.95, 0.8, 0.6-0.
7.
2. The control method of the fresh air conditioner according to claim 1, characterized by, Step S31 includes: S311. Determine whether the TVOC output value is ≥ A1. If yes, proceed to step S312; otherwise, proceed to step S32. S312. Determine whether the air conditioner fan speed M1 is less than the fresh air fan speed M2. If yes, the fresh air module will run in strong purification mode at a high fan speed; if no, the fresh air module will run in strong purification mode at a medium fan speed. 3.The control method of the fresh air conditioner according to claim 1, characterized in that, Step S32 includes: S321. Determine whether the TVOC output value is <A2, where A1>A2. If yes, the fresh air module runs in oxygenation mode and at low fan speed; otherwise, proceed to step S322. S322. Determine whether the air conditioner fan speed M1 is less than the fresh air fan speed M2. If yes, the fresh air module will run in formaldehyde removal mode at a low fan speed; if no, the fresh air module will run in formaldehyde removal mode at a medium fan speed.
4. A control device of a fresh air conditioner, characterized by comprising: The control device is capable of implementing the control method according to any one of claims 1-3, and comprises: The acquisition module is configured to acquire a set temperature T after receiving the fresh air module opening instruction s , an indoor temperature T n , an outdoor temperature T w , an outdoor humidity RH 外 , and an indoor total volatile organic compound concentration TVOC. a control module for controlling the operation mode and damper of the fresh air module according to the set temperature T s , the indoor temperature T n , the outdoor temperature T w , the outdoor humidity RH 外 and the total volatile organic compound concentration TVOC in the room.
5. A computer readable storage medium, characterized in that, The computer-readable storage medium stores a computer program, which is read and executed by a processor to implement the control method of the fresh air conditioner according to any one of claims 1-3.
Citation Information
Patent Citations
Control method and device of fresh air conditioner and fresh air conditioner
CN115614943A
Smell sensor environment index correction method and system and smell sensor
CN111579595A
Control method and control device of air system and air conditioning system
CN114811789A
Air conditioner, control method thereof and computer readable storage medium
CN115507512A
Fresh air conditioner healthy sleep control method and fresh air conditioner
CN115807991A