Method, device and storage medium for controlling fresh air air conditioner

Abstract

The present application relates to the technical field of air conditioning, and discloses a method for controlling a fresh air air conditioner, comprising: detecting the real-time concentration of indoor carbon dioxide; determining the predicted rate of change of the carbon dioxide concentration when the real-time concentration of indoor carbon dioxide is greater than or equal to a first preset concentration; and controlling the operation of the fresh air air conditioner according to the predicted rate of change to reduce the indoor carbon dioxide concentration. The present application collects the indoor carbon dioxide concentration in real time, and performs predictive control of the fresh air air conditioner when it exceeds the first preset concentration. By analyzing the relevant indoor information, the present application can predict the rate of change of the indoor carbon dioxide concentration in the next period of time to better grasp the fluctuation of the indoor air quality. Combined with the predicted rate of change, the present application can accurately control the operation of the fresh air air conditioner, thereby providing the user with a better comfort experience throughout the entire process. The present application also discloses a device for controlling a fresh air air conditioner, a fresh air air conditioner, and a storage medium.

Description

Technical Field

[0001] The present application relates to the field of air-conditioning technology, and for example, to a method and device for controlling a fresh air air-conditioning, a fresh air air-conditioning, and a storage medium. Background Art

[0002] At present, with the continuous improvement of people's living standards, air conditioners have become an important household appliance that is indispensable in daily life. Among them, when users sleep, they often close doors and windows to maintain a comfortable temperature in the room and avoid noise interference. However, at this time, the room is close to a closed space, and the air circulation between it and the outside world is small. In the long run, the air quality in the room will deteriorate, thus affecting the comfort experience of indoor users. To this end, the relevant technology proposes a control method for automatic ventilation of fresh air air conditioners, including: detecting indoor CO 2 concentration, and according to the CO 2 The concentration of CO 2 Concentration trend; combined with the current CO 2 concentration and the CO 2 The concentration change trend controls the fresh air device to perform ventilation.

[0003] In the process of implementing the embodiments of the present disclosure, it is found that there are at least the following problems in the related art:

[0004] The relevant technology is very dependent on the accuracy of carbon dioxide concentration monitoring. Once the carbon dioxide concentration data monitored is biased, it will directly lead to inaccurate ventilation timing or working parameters of the fresh air air conditioner, which may cause discomfort to users.

[0005] It should be noted that the information disclosed in the above background technology section is only used to enhance the understanding of the background of the present application, and therefore may include information that does not constitute the prior art known to ordinary technicians in the field. Summary of the invention

[0006] In order to provide a basic understanding of some aspects of the disclosed embodiments, a brief summary is given below. The summary is not an extensive review, nor is it intended to identify key / critical components or delineate the scope of protection of these embodiments, but rather serves as a prelude to the detailed description that follows.

[0007] The embodiments of the present disclosure provide a method, device, fresh air air conditioner, and storage medium for controlling a fresh air air conditioner, which can more accurately control the operation of the fresh air air conditioner, thereby providing users with a better comfort experience throughout the entire process.

[0008] In some embodiments, the method comprises:

[0009] Detect the real-time concentration of indoor carbon dioxide;

[0010] When the indoor real-time carbon dioxide concentration is greater than or equal to a first preset concentration, determining a predicted rate of change of carbon dioxide concentration;

[0011] According to the predicted change rate, the operation of the fresh air air conditioner is controlled to reduce the indoor carbon dioxide concentration.

[0012] In some embodiments, the device includes: a processor and a memory storing program instructions, and the processor is configured to execute the above-mentioned method for controlling the fresh air air conditioner when running the program instructions.

[0013] In some embodiments, the fresh air air conditioner includes:

[0014] The air conditioner body is provided with a fresh air device to exchange air with the outside;

[0015] The above-mentioned device for controlling the fresh air air conditioner is installed on the air conditioner body.

[0016] In some embodiments, the storage medium stores program instructions, and when the program instructions are run, the above-mentioned method for controlling the fresh air air conditioner is executed.

[0017] The method, device, fresh air air conditioner, and storage medium for controlling the fresh air air conditioner provided in the embodiments of the present disclosure can achieve the following technical effects:

[0018] The disclosed embodiment collects indoor carbon dioxide concentration in real time, and performs predictive control of the fresh air air conditioner when it exceeds a first preset concentration. By analyzing indoor related information, the disclosed embodiment can predict the rate of change of indoor carbon dioxide concentration in the next period of time, so as to better grasp the fluctuation of indoor air quality. Combined with the predicted rate of change, the disclosed embodiment can more accurately control the operation of the fresh air air conditioner and timely reduce the indoor carbon dioxide concentration, so as to provide users with a better comfort experience throughout the process.

[0019] The above general description and the following description are exemplary and explanatory only and are not intended to limit the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] One or more embodiments are exemplarily described by corresponding drawings, which do not limit the embodiments. Elements with the same reference numerals in the drawings are shown as similar elements, and the drawings do not constitute a scale limitation, and wherein:

[0021] Figure 1 is a schematic diagram of a method for controlling a fresh air air conditioner provided by an embodiment of the present disclosure;

[0022] Figure 2is a schematic diagram of another method for controlling a fresh air air conditioner provided by an embodiment of the present disclosure;

[0023] Figure 3 is a schematic diagram of another method for controlling a fresh air air conditioner provided by an embodiment of the present disclosure;

[0024] Figure 4 is a schematic diagram of another method for controlling a fresh air air conditioner provided by an embodiment of the present disclosure;

[0025] Figure 5 is a schematic diagram of another method for controlling a fresh air air conditioner provided by an embodiment of the present disclosure;

[0026] Figure 6 is a schematic diagram of a device for controlling a fresh air air conditioner provided by an embodiment of the present disclosure;

[0027] Figure 7 It is a schematic diagram of a fresh air air conditioner provided in an embodiment of the present disclosure. DETAILED DESCRIPTION

[0028] In order to be able to understand the features and technical contents of the embodiments of the present disclosure in more detail, the implementation of the embodiments of the present disclosure is described in detail below in conjunction with the accompanying drawings. The attached drawings are for reference only and are not used to limit the embodiments of the present disclosure. In the following technical description, for the convenience of explanation, a full understanding of the disclosed embodiments is provided through multiple details. However, one or more embodiments can still be implemented without these details. In other cases, to simplify the drawings, well-known structures and devices can be simplified for display.

[0029] The terms "first", "second", etc. in the specification and claims of the embodiments of the present disclosure and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the terms used in this way can be interchanged where appropriate, so that the embodiments of the embodiments of the present disclosure described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions.

[0030] Unless otherwise stated, the term "plurality" means two or more.

[0031] In the embodiment of the present disclosure, the character " / " indicates that the preceding and following objects are in an "or" relationship. For example, A / B indicates: A or B.

[0032] The term "and / or" is a description of the association relationship between objects, indicating that three relationships can exist. For example, A and / or B means: A or B, or, A and B.

[0033] The term "correspondence" may refer to an association relationship or a binding relationship. The correspondence between A and B means that there is an association relationship or a binding relationship between A and B.

[0034] At present, with the continuous improvement of people's living standards, air conditioners have become an important household appliance that is indispensable in daily life. Among them, when users sleep, they often close doors and windows to maintain a comfortable temperature in the room and avoid noise interference. However, at this time, the room is close to a closed space, and the air circulation between it and the outside world is small. In the long run, the air quality in the room will deteriorate, thus affecting the comfort experience of indoor users. To this end, the relevant technology proposes a control method for automatic ventilation of fresh air air conditioners, including: detecting indoor CO 2 concentration, and according to the CO 2 The concentration of CO 2 Concentration trend; combined with the current CO 2 concentration and the CO 2 The concentration change trend controls the fresh air device to perform ventilation.

[0035] However, the relevant technology is very dependent on the accuracy of carbon dioxide concentration monitoring. Once the carbon dioxide concentration data monitored is biased, it will directly lead to inaccurate ventilation timing or working parameters of the fresh air air conditioner, which may cause discomfort to users.

[0036] Combination Figure 1 As shown, the embodiment of the present disclosure provides a method for controlling a fresh air air conditioner, comprising:

[0037] S101, the processor detects the real-time concentration of indoor carbon dioxide.

[0038] S102: When the real-time indoor carbon dioxide concentration is greater than or equal to a first preset concentration, the processor determines a predicted rate of change of the carbon dioxide concentration.

[0039] S103, the processor controls the operation of the fresh air air conditioner according to the predicted change rate to reduce the indoor carbon dioxide concentration.

[0040] The method for controlling the fresh air air conditioner provided by the embodiment of the present disclosure is used to collect the indoor carbon dioxide concentration in real time, and perform predictive control of the fresh air air conditioner when it exceeds the first preset concentration. By analyzing the indoor related information, the embodiment of the present disclosure can predict the rate of change of the indoor carbon dioxide concentration in the next period of time, so as to better grasp the fluctuation of the indoor air quality. Combined with the predicted rate of change, the embodiment of the present disclosure can more accurately control the operation of the fresh air air conditioner and timely reduce the indoor carbon dioxide concentration, so as to provide users with a better comfort experience throughout the process.

[0041] Optionally, the method for controlling the fresh air air conditioner can be executed in the fresh air air conditioner, or in a server communicating with the fresh air air conditioner. In the embodiment of the present disclosure, the solution is described with the processor in the fresh air air conditioner as the execution subject.

[0042] Optionally, the processor determines the predicted rate of change of the carbon dioxide concentration, including: the processor obtains indoor space information; the processor obtains indoor personnel information; the processor determines the predicted rate of change of the carbon dioxide concentration based on the indoor space information and the indoor personnel information. In this way, by analyzing the indoor space information and the indoor personnel information, the embodiment of the present disclosure can predict the rate of change of the indoor carbon dioxide concentration in the next period of time, so as to better grasp the fluctuation of the indoor air quality. And because the impact of various indoor factors on the carbon dioxide concentration is taken into account, the embodiment of the present disclosure can improve the accuracy of predictive control, which is conducive to better ensuring the user's comfort experience.

[0043] Optionally, the processor controls the operation of the fresh air air conditioner according to the predicted change rate to reduce the indoor carbon dioxide concentration, including: the processor determines the target operation parameters of the fresh air air conditioner according to the predicted change rate; the processor starts the fresh air air conditioner and controls the fresh air air conditioner to operate according to the target operation parameters to reduce the indoor carbon dioxide concentration. In this way, by predicting the change rate of the indoor carbon dioxide concentration, the embodiment of the present disclosure can better grasp the fluctuation of the indoor air quality, and adjust the operation parameters of the fresh air air conditioner in a targeted manner, so as to timely and effectively reduce the indoor carbon dioxide concentration, thereby providing users with a better comfort experience throughout the process.

[0044] Optionally, the processor starts the fresh air air conditioner, including: the processor determines the predicted time required for the indoor carbon dioxide concentration to reach a second preset concentration based on the predicted change rate; after the predicted time, the processor controls the fresh air air conditioner to start. The second preset concentration is greater than the first preset concentration. In this way, the embodiment of the present disclosure can further set the self-start time of the fresh air air conditioner in combination with the predicted change rate of the carbon dioxide concentration. By predicting the time required for the indoor carbon dioxide concentration to reach the second preset concentration, the embodiment of the present disclosure can reasonably determine the best time to start the fresh air air conditioner. By controlling the fresh air air conditioner to start at the right time, the embodiment of the present disclosure can not only ensure that the user obtains a better comfort experience throughout the process, but also avoid the waste of resources caused by frequent startup of the fresh air air conditioner, and therefore, it is also beneficial to energy saving and environmental protection.

[0045] Combination Figure 2 As shown, the embodiment of the present disclosure provides another method for controlling a fresh air air conditioner, comprising:

[0046] S201, the processor detects the real-time concentration of indoor carbon dioxide.

[0047] S202: When the real-time indoor carbon dioxide concentration is greater than or equal to a first preset concentration, the processor obtains indoor space information.

[0048] S203: The processor obtains indoor personnel information.

[0049] S204: The processor determines a predicted rate of change of carbon dioxide concentration according to the indoor space information and the indoor personnel information.

[0050] S205: The processor controls the operation of the fresh air air conditioner according to the predicted change rate to reduce the indoor carbon dioxide concentration.

[0051] The method for controlling the fresh air air conditioner provided by the embodiment of the present disclosure is used to collect the indoor carbon dioxide concentration in real time, and perform predictive control of the fresh air air conditioner when it exceeds the first preset concentration. By analyzing the relevant indoor information, the embodiment of the present disclosure can predict the rate of change of the indoor carbon dioxide concentration in the next period of time, so as to better grasp the fluctuation of the indoor air quality. Since the impact of various indoor factors on the carbon dioxide concentration is taken into account, the embodiment of the present disclosure can improve the accuracy of predictive control, which is conducive to better ensuring the user's comfort experience. Combined with the predicted rate of change, the embodiment of the present disclosure can more accurately control the operation of the fresh air air conditioner and timely reduce the indoor carbon dioxide concentration, so as to provide users with a better comfort experience throughout the process.

[0052] Optionally, the method for controlling the fresh air air conditioner can be executed in the fresh air air conditioner, or in a server communicating with the fresh air air conditioner. In the embodiment of the present disclosure, the solution is described with the processor in the fresh air air conditioner as the execution subject.

[0053] Optionally, the indoor space information includes indoor ventilation information and indoor area information. Thus, by introducing the above one or more indoor space information, the embodiment of the present disclosure can improve the accuracy of predictive control, thereby facilitating better guaranteeing the user's comfortable experience.

[0054] Optionally, the indoor personnel information includes indoor number of people information and indoor personnel activity information. Thus, by introducing one or more indoor personnel information, the disclosed embodiment can improve the accuracy of predictive control, thereby facilitating better guarantee of user comfort experience.

[0055] Optionally, the processor determines the predicted rate of change of the carbon dioxide concentration based on the indoor space information and the indoor personnel information, including: the processor determines the spatial correction coefficient of the rate of change of the carbon dioxide concentration based on the indoor ventilation information; the processor calculates the theoretical rate of change of the carbon dioxide concentration based on the indoor area information and the indoor number of people information; the processor determines the predicted rate of change of the carbon dioxide concentration based on the spatial correction coefficient and the theoretical rate of change. In this way, the embodiment of the present disclosure can determine the correction coefficient corresponding to the rate of change of the carbon dioxide concentration according to the indoor ventilation conditions, and calculate the theoretical rate of change of the carbon dioxide concentration according to the indoor area information and the indoor number of people information. Therefore, on the basis of calculating the theoretical rate of change, by introducing an additional spatial correction coefficient, the embodiment of the present disclosure can further improve the accuracy of the prediction of the rate of change of the indoor carbon dioxide concentration, and at the same time, it is also beneficial to ensure the accuracy of the subsequent predictive control of the fresh air air conditioner.

[0056] Combination Figure 3 As shown, the embodiment of the present disclosure provides another method for controlling a fresh air air conditioner, comprising:

[0057] S301, the processor detects the real-time concentration of indoor carbon dioxide.

[0058] S302: When the real-time indoor carbon dioxide concentration is greater than or equal to a first preset concentration, the processor obtains indoor space information.

[0059] Among them, the indoor space information includes indoor ventilation information and indoor area information.

[0060] S303: The processor obtains indoor personnel information.

[0061] Among them, indoor personnel information includes indoor number of people information.

[0062] S304: The processor determines a spatial correction coefficient of a carbon dioxide concentration change rate according to indoor ventilation information.

[0063] S305: The processor calculates the theoretical rate of change of carbon dioxide concentration according to the indoor area information and the indoor number of people information.

[0064] S306: The processor determines the predicted change rate of the carbon dioxide concentration based on the space correction coefficient and the theoretical change rate.

[0065] S307, the processor controls the operation of the fresh air air conditioner according to the predicted change rate to reduce the indoor carbon dioxide concentration.

[0066] The method for controlling the fresh air air conditioner provided by the embodiment of the present disclosure is adopted to collect the indoor carbon dioxide concentration in real time, and perform predictive control of the fresh air air conditioner when it exceeds the first preset concentration. By analyzing the indoor relevant information, the embodiment of the present disclosure can predict the rate of change of the indoor carbon dioxide concentration in the next period of time, so as to better grasp the fluctuation of the indoor air quality. Among them, the embodiment of the present disclosure can identify the indoor ventilation conditions to determine the correction coefficient corresponding to the rate of change of the carbon dioxide concentration, and calculate the theoretical rate of change of the carbon dioxide concentration according to the indoor area information and the indoor number of people information. Therefore, on the basis of calculating the theoretical rate of change, by introducing the additional space correction coefficient, the embodiment of the present disclosure can further improve the accuracy of the prediction of the rate of change of the indoor carbon dioxide concentration, and at the same time, it is also conducive to ensuring the accuracy of the subsequent predictive control of the fresh air air conditioner, so as to better ensure the comfort experience of the user. Combined with the predicted rate of change, the embodiment of the present disclosure can more accurately control the operation of the fresh air air conditioner, and timely reduce the indoor carbon dioxide concentration, so as to give the user a better comfort experience throughout the process.

[0067] Optionally, the method for controlling the fresh air air conditioner can be executed in the fresh air air conditioner, or in a server communicating with the fresh air air conditioner. In the embodiment of the present disclosure, the solution is described with the processor in the fresh air air conditioner as the execution subject.

[0068] Optionally, the processor determines a spatial correction coefficient for the rate of change of the carbon dioxide concentration based on the indoor ventilation information, including: when the indoor ventilation information indicates that the ventilation is poor, the processor determines that the spatial correction coefficient is a first correction coefficient; when the indoor ventilation information indicates that the ventilation is good, the processor determines that the spatial correction coefficient is a second correction coefficient. Wherein, the first correction coefficient is greater than the second correction coefficient. In this way, when the ventilation is poor, the carbon dioxide in the room is not easy to be discharged to the outside, so the indoor carbon dioxide concentration will rise faster, and a larger first correction coefficient is set at this time. When the ventilation is good, the carbon dioxide in the room can be discharged more easily, so the indoor carbon dioxide concentration rises more slowly, and a smaller second correction coefficient is set at this time. As a result, the embodiment of the present disclosure can be closer to the law of change of carbon dioxide concentration under different ventilation conditions, which is conducive to improving the accuracy of the prediction of the rate of change of indoor carbon dioxide concentration.

[0069] Optionally, the processor determines that the indoor ventilation information indicates poor ventilation, including: the processor receives a status signal sent by the smart door and window, and the status signal indicates that the smart door and window is currently closed. In this way, the embodiment of the present disclosure can quickly identify the current poor indoor ventilation condition by linking the smart door and window.

[0070] Optionally, the processor determines that the indoor ventilation information indicates poor ventilation, including: the processor receives image information sent by the camera, and the image information indicates that the doors and windows are closed. In this way, the embodiment of the present disclosure can quickly identify the current poor indoor ventilation condition by linking the camera.

[0071] Optionally, the processor determines that the indoor ventilation information indicates poor ventilation, including: the processor receives an air circulation speed sent by a sensor disposed at a door or window, and the air circulation speed is less than a preset circulation speed. In this way, the embodiment of the present disclosure can quickly identify the current poor indoor ventilation condition by linking the sensors disposed at the door or window.

[0072] Optionally, the processor determines the predicted rate of change of the carbon dioxide concentration according to the space correction coefficient and the theoretical rate of change, including: the processor multiplies the space correction coefficient and the theoretical rate of change to obtain the predicted rate of change of the carbon dioxide concentration. In this way, on the basis of calculating the theoretical rate of change, by introducing an additional space correction coefficient, the embodiment of the present disclosure can further improve the accuracy of the prediction of the rate of change of the indoor carbon dioxide concentration, and at the same time, it is also conducive to ensuring the accuracy of the subsequent predictive control of the fresh air air conditioner, thereby helping to better ensure the comfort experience of the user.

[0073] Combination Figure 4 As shown, the embodiment of the present disclosure provides another method for controlling a fresh air air conditioner, comprising:

[0074] S401, the processor detects the real-time concentration of indoor carbon dioxide.

[0075] S402: When the real-time indoor carbon dioxide concentration is greater than or equal to a first preset concentration, the processor obtains indoor space information.

[0076] Among them, the indoor space information includes indoor ventilation information and indoor area information.

[0077] S403: The processor obtains indoor personnel information.

[0078] Among them, indoor personnel information includes indoor number information and indoor personnel activity information.

[0079] S404: The processor determines a spatial correction coefficient of a carbon dioxide concentration change rate according to indoor ventilation information.

[0080] S405: The processor calculates the theoretical rate of change of carbon dioxide concentration according to the indoor area information and the indoor number of people information.

[0081] S406: The processor determines the predicted rate of change of the carbon dioxide concentration based on the space correction coefficient and the theoretical rate of change.

[0082] S407: The processor determines a personnel correction coefficient for the rate of change of carbon dioxide concentration based on the indoor personnel activity information.

[0083] S408: The processor corrects the predicted change rate according to the personnel correction coefficient.

[0084] S409, the processor controls the operation of the fresh air air conditioner according to the corrected predicted change rate to reduce the indoor carbon dioxide concentration.

[0085] The method for controlling the fresh air air conditioner provided by the embodiment of the present disclosure is adopted to collect the indoor carbon dioxide concentration in real time, and to perform predictive control of the fresh air air conditioner when it exceeds the first preset concentration. By analyzing the indoor relevant information, the embodiment of the present disclosure can predict the rate of change of the indoor carbon dioxide concentration in the next period of time, so as to better grasp the fluctuation of the indoor air quality. Among them, the embodiment of the present disclosure can identify the indoor ventilation situation to determine the space correction coefficient corresponding to the rate of change of the carbon dioxide concentration, and calculate the theoretical rate of change of the carbon dioxide concentration according to the indoor area information and the indoor number of people information, and determine the personnel correction coefficient corresponding to the rate of change of the carbon dioxide concentration by identifying the indoor personnel activities. Therefore, on the basis of calculating the theoretical rate of change, by introducing additional space correction coefficients and personnel correction coefficients, the embodiment of the present disclosure can further improve the accuracy of the prediction of the rate of change of the indoor carbon dioxide concentration, and at the same time, it is also conducive to ensuring the accuracy of the subsequent predictive control of the fresh air air conditioner, so as to better ensure the comfort experience of the user. Combined with the predicted rate of change, the embodiment of the present disclosure can more accurately control the operation of the fresh air air conditioner, and timely reduce the indoor carbon dioxide concentration, so as to give the user a better comfort experience throughout the process.

[0086] Optionally, the method for controlling the fresh air air conditioner can be executed in the fresh air air conditioner, or in a server communicating with the fresh air air conditioner. In the embodiment of the present disclosure, the solution is described with the processor in the fresh air air conditioner as the execution subject.

[0087] Optionally, the processor determines a personnel correction coefficient for the rate of change of carbon dioxide concentration based on the indoor personnel activity information, including: when the indoor personnel activity information indicates that the personnel is moving, the processor determines that the personnel correction coefficient is a third correction coefficient; when the indoor personnel activity information indicates that the personnel is stationary, the processor determines that the personnel correction coefficient is a fourth correction coefficient. Wherein, the third correction coefficient is greater than the fourth correction coefficient. In this way, when the indoor personnel continue to move, they will exhale more carbon dioxide through exhalation, so the indoor carbon dioxide concentration will also rise faster, and a larger third correction coefficient is set at this time. When the indoor personnel remain stationary, the carbon dioxide they exhale through exhalation is maintained at a normal level, so the indoor carbon dioxide concentration does not rise quickly, and a smaller fourth correction coefficient is set at this time. As a result, the disclosed embodiment can be closer to the law of change of carbon dioxide concentration under different personnel activity conditions, which is conducive to improving the accuracy of the prediction of the indoor carbon dioxide concentration change rate.

[0088] Optionally, when the indoor personnel activity information indicates that the person is exercising, it also includes: the processor obtains the user's vital sign information; the processor corrects the third correction coefficient according to the user's vital sign information. In this way, when the indoor person continues to exercise, the embodiment of the present disclosure further collects the user's vital sign information to consider the impact of the amount of exercise on the user's exhalation frequency and even the amount of carbon dioxide exhaled. This can be closer to the changing law of the user's carbon dioxide exhaled amount under different amounts of exercise, which is conducive to improving the accuracy of the prediction of the indoor carbon dioxide concentration change rate.

[0089] Optionally, the user's vital sign information includes one or more of respiratory rate, heart rate, pulse, blood pressure, blood oxygen, and brain waves. In this way, by collecting the user's vital sign information, the disclosed embodiment can more accurately take into account the differences in the user's exhalation of carbon dioxide under different exercise conditions, which is conducive to improving the accuracy of the prediction of the indoor carbon dioxide concentration change rate.

[0090] Optionally, the processor corrects the third correction coefficient according to the user's vital signs information, including: when the user's breathing frequency is greater than the first preset frequency, increasing the third correction coefficient; when the user's breathing frequency is less than the second preset frequency, reducing the third correction coefficient. Wherein, the first preset frequency is greater than the second preset frequency. In this way, when the user's breathing frequency is relatively large, it indicates that the user has a large amount of exercise. At this time, the carbon dioxide discharged by the user through exhalation will be more, so the indoor carbon dioxide concentration will also rise faster. At this time, the third correction coefficient is adaptively increased. When the user's breathing frequency is relatively small, it indicates that the user has not exercised much. At this time, the carbon dioxide discharged by the user through exhalation is not much, so the indoor carbon dioxide concentration does not rise quickly. At this time, the third correction coefficient is adaptively reduced. As a result, the embodiment of the present disclosure can be closer to the changing law of the user's carbon dioxide exhalation volume at different breathing frequencies, which is conducive to improving the accuracy of the prediction of the indoor carbon dioxide concentration change rate.

[0091] Optionally, when the indoor personnel activity information indicates that the personnel are stationary, the method further includes: the processor obtains the user identity information; the processor corrects the fourth correction coefficient according to the user identity information. In this way, when the indoor personnel remain stationary, the disclosed embodiment further collects the user's identity information to consider the impact of individual differences of users on the exhaled carbon dioxide volume. This can be closer to the changing law of the user's exhaled carbon dioxide volume under different individual differences, which is conducive to improving the accuracy of the prediction of the indoor carbon dioxide concentration change rate.

[0092] Optionally, the user identity information includes one or more of age, gender, height, and weight. In this way, by collecting the user's identity information, the disclosed embodiment can more accurately consider the impact of individual differences of users on the exhaled carbon dioxide volume, which is conducive to improving the accuracy of the prediction of the indoor carbon dioxide concentration change rate.

[0093] Optionally, the processor corrects the fourth correction coefficient according to the user identity information, including: when the user age is greater than the first preset age, reducing the fourth correction coefficient according to the first preset amplitude; when the user age is less than the second preset age, reducing the fourth correction coefficient according to the second preset amplitude. Wherein, the first preset age is greater than the second preset age, and the first preset amplitude is less than the second preset amplitude. In this way, when the user is greater than the first preset age, it can be indicated that the user identity is an elderly group. When the user age is between the first preset age and the second preset age, it can be indicated that the user identity is a middle-aged group. And when the user is less than the second preset age, it can be indicated that the user identity is a teenager group. Obviously, there are differences in the carbon dioxide exhalation corresponding to different age groups. Specifically, the carbon dioxide exhalation of the middle-aged group is the largest, followed by the elderly group, and the teenager group is the least. Therefore, the embodiment of the present disclosure maintains the fourth correction coefficient unchanged when corresponding to the middle-aged group, reduces the fourth correction coefficient by a smaller amplitude when corresponding to the elderly group, and reduces the fourth correction coefficient by a larger amplitude when corresponding to the teenager group. As a result, the embodiment of the present disclosure can be closer to the change law of the carbon dioxide exhalation of users of different ages, thereby facilitating the improvement of the accuracy of the prediction of the indoor carbon dioxide concentration change rate.

[0094] Optionally, the processor corrects the predicted rate of change according to the personnel correction coefficient, including: the processor multiplies the personnel correction coefficient and the predicted rate of change to obtain a corrected predicted rate of change. In this way, on the basis of the preliminary calculation of the predicted rate of change, an additional personnel correction coefficient is introduced. The disclosed embodiment can further improve the accuracy of the prediction of the rate of change of indoor carbon dioxide concentration, and is also conducive to ensuring the accuracy of the subsequent predictive control of the fresh air air conditioner, thereby helping to better ensure the user's comfort experience.

[0095] Combination Figure 5 As shown, the embodiment of the present disclosure provides another method for controlling a fresh air air conditioner, comprising:

[0096] S501, the processor detects the real-time concentration of indoor carbon dioxide.

[0097] S502: When the real-time indoor carbon dioxide concentration is greater than or equal to a first preset concentration, the processor determines a predicted rate of change of the carbon dioxide concentration.

[0098] S503: The processor determines target operating parameters of the fresh air air conditioner according to the predicted change rate.

[0099] S504: The processor determines the predicted time required for the indoor carbon dioxide concentration to reach a second preset concentration based on the predicted change rate.

[0100] The second preset concentration is greater than the first preset concentration.

[0101] S505, after the predicted duration, the processor controls the fresh air air conditioner to start, and controls the fresh air air conditioner to operate according to the target operating parameters to reduce the indoor carbon dioxide concentration.

[0102] The method for controlling the fresh air air conditioner provided by the embodiment of the present disclosure is adopted to collect the indoor carbon dioxide concentration in real time, and perform predictive control of the fresh air air conditioner when it exceeds the first preset concentration. By analyzing the indoor related information, the embodiment of the present disclosure can predict the rate of change of the indoor carbon dioxide concentration in the next period of time, so as to better grasp the fluctuation of the indoor air quality. Combined with the predicted rate of change, the embodiment of the present disclosure can more accurately control the operation of the fresh air air conditioner, and timely reduce the indoor carbon dioxide concentration, so as to give the user a better comfort experience throughout the whole process. In addition, the embodiment of the present disclosure can further set the self-start time of the fresh air air conditioner in combination with the predicted rate of change of the carbon dioxide concentration. By predicting the time required for the indoor carbon dioxide concentration to reach the second preset concentration, the embodiment of the present disclosure can reasonably determine the best start-up time of the fresh air air conditioner. By controlling the fresh air air conditioner to start at the right time, the embodiment of the present disclosure can not only ensure that the user obtains a better comfort experience throughout the whole process, but also avoid the waste of resources caused by the frequent start-up of the fresh air air conditioner, and therefore, it is also conducive to energy saving and environmental protection.

[0103] Optionally, the method for controlling the fresh air air conditioner can be executed in the fresh air air conditioner, or in a server communicating with the fresh air air conditioner. In the embodiment of the present disclosure, the solution is described with the processor in the fresh air air conditioner as the execution subject.

[0104] Optionally, the first preset concentration and the second preset concentration can be set according to the user's own needs. However, it should be noted that the first preset concentration should be less than the second preset concentration. Preferably, the first preset concentration can be set to 500ppm, and the second preset concentration can be set to 1000ppm.

[0105] It is understandable that the specific values ​​of the first preset concentration and the second preset concentration can also be adjusted according to the control purpose. Specifically, in some embodiments, for the purpose of improving indoor air quality, the first preset concentration can also be set to 300ppm, and the second preset concentration can also be set to 500ppm.

[0106] Combination Figure 6As shown, the embodiment of the present disclosure provides a device 600 for controlling a fresh air air conditioner, including a processor 601 and a memory 602. Optionally, the device may also include a communication interface 603 and a bus 604. Among them, the processor 601, the communication interface 603, and the memory 602 can communicate with each other through the bus 604. The communication interface 603 can be used for information transmission. The processor 601 can call the logic instructions in the memory 602 to execute the method for controlling the fresh air air conditioner of the above embodiment.

[0107] In addition, the logic instructions in the memory 602 described above may be implemented in the form of software functional units and when sold or used as independent products, may be stored in a computer-readable storage medium.

[0108] The memory 602 is a computer-readable storage medium that can be used to store software programs and computer executable programs, such as program instructions / modules corresponding to the method in the embodiment of the present disclosure. The processor 601 executes the function application and data processing by running the program instructions / modules stored in the memory 602, that is, the method for controlling the fresh air air conditioner in the above embodiment is implemented.

[0109] The memory 602 may include a program storage area and a data storage area, wherein the program storage area may store an operating system and an application required for at least one function; the data storage area may store data created according to the use of the terminal device, etc. In addition, the memory 602 may include a high-speed random access memory and may also include a non-volatile memory.

[0110] Combination Figure 7 As shown, the embodiment of the present disclosure provides a fresh air air conditioner 700, including: an air conditioner body, and the above-mentioned device 600 for controlling the fresh air air conditioner. Among them, the air conditioner body is provided with a fresh air device to exchange air with the outside. The device 600 for controlling the fresh air air conditioner is installed on the air conditioner body. The installation relationship described here is not limited to placement inside the product, but also includes installation connections with other components of the product, including but not limited to physical connections, electrical connections or signal transmission connections, etc. Those skilled in the art can understand that the device 600 for controlling the fresh air air conditioner can be adapted to a feasible product body, thereby realizing other feasible embodiments.

[0111] An embodiment of the present disclosure provides a computer-readable storage medium storing computer-executable instructions, wherein the computer-executable instructions are configured to execute the above-mentioned method for controlling a fresh air air conditioner.

[0112] The computer-readable storage medium mentioned above may be a transient computer-readable storage medium or a non-transitory computer-readable storage medium.

[0113] The technical solution of the embodiment of the present disclosure can be embodied in the form of a software product, which is stored in a storage medium and includes one or more instructions for enabling a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in the embodiment of the present disclosure. The aforementioned storage medium may be a non-transient storage medium, including: a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and other media that can store program codes, or a transient storage medium.

[0114] The above description and the accompanying drawings fully illustrate the embodiments of the present disclosure so that those skilled in the art can practice them. Other embodiments may include structural, logical, electrical, process and other changes. The embodiments represent only possible changes. Unless explicitly required, separate components and functions are optional, and the order of operation may vary. The parts and features of some embodiments may be included in or replace the parts and features of other embodiments. Moreover, the words used in this application are only used to describe the embodiments and are not used to limit the claims. As used in the description of the embodiments and the claims, unless the context clearly indicates, the singular forms of "a", "an" and "the" are intended to include plural forms as well. Similarly, the term "and / or" as used in this application refers to any and all possible combinations of listings containing one or more associated ones. In addition, when used in the present application, the term "comprise" and its variants "comprises" and / or comprising refer to the presence of stated features, wholes, steps, operations, elements, and / or components, but do not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or groups thereof. In the absence of further restrictions, the elements defined by the sentence "comprising a ..." do not exclude the presence of other identical elements in the process, method or device comprising the elements. In this article, each embodiment may focus on the differences from other embodiments, and the same and similar parts between the various embodiments may refer to each other. For the methods, products, etc. disclosed in the embodiments, if they correspond to the method part disclosed in the embodiments, then the relevant parts can refer to the description of the method part.

[0115] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software may depend on the specific application and design constraints of the technical solution. The technicians may use different methods for each specific application to implement the described functions, but such implementations should not be considered to exceed the scope of the embodiments of the present disclosure. The technicians may clearly understand that, for the convenience and simplicity of description, the specific working processes of the systems, devices and units described above may refer to the corresponding processes in the aforementioned method embodiments, and will not be repeated here.

[0116] In the embodiments disclosed herein, the disclosed methods and products (including but not limited to devices, equipment, etc.) can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units can be only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between each other shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms. The units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the units may be selected according to actual needs to implement this embodiment. In addition, each functional unit in the embodiment of the present disclosure may be integrated in a processing unit, or each unit may exist physically alone, or two or more units may be integrated in one unit.

[0117] The flowchart and block diagram in the accompanying drawings show the possible architecture, function and operation of the system, method and computer program product according to the embodiment of the present disclosure. In this regard, each box in the flowchart or block diagram can represent a module, a program segment or a part of the code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. In some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two consecutive boxes can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, which can depend on the functions involved. In the description corresponding to the flowchart and the block diagram in the accompanying drawings, the operations or steps corresponding to different boxes can also occur in a different order from the order disclosed in the description, and sometimes there is no specific order between different operations or steps. For example, two consecutive operations or steps can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, which can depend on the functions involved. Each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, may be implemented by a dedicated hardware-based system that performs the specified functions or actions, or may be implemented by a combination of dedicated hardware and computer instructions.

Claims

1. A method for controlling a fresh air air conditioner, characterized in that: include: Detect the real-time concentration of indoor carbon dioxide; When the indoor real-time carbon dioxide concentration is greater than or equal to a first preset concentration, determining a predicted rate of change of carbon dioxide concentration; According to the predicted rate of change, the operation of the fresh air air conditioner is controlled to reduce the indoor carbon dioxide concentration; Wherein, the determining the predicted change rate of carbon dioxide concentration includes: obtaining indoor space information; obtaining indoor personnel information; determining the predicted change rate of carbon dioxide concentration according to the indoor space information and the indoor personnel information; The indoor space information includes indoor ventilation information and indoor area information, the indoor ventilation information is used to indicate poor indoor ventilation or good indoor ventilation, and the indoor personnel information includes indoor number of people information; determining the predicted change rate of carbon dioxide concentration based on the indoor space information and the indoor personnel information includes: determining a spatial correction coefficient of the carbon dioxide concentration change rate based on the indoor ventilation information; calculating a theoretical change rate of carbon dioxide concentration based on the indoor area information and the indoor number of people information; and determining the predicted change rate of carbon dioxide concentration based on the spatial correction coefficient and the theoretical change rate.

2. The method according to claim 1, characterized in that Determining the space correction coefficient of the carbon dioxide concentration change rate according to the indoor ventilation information includes: When the indoor ventilation information indicates poor ventilation, determining the space correction coefficient to be a first correction coefficient; When the indoor ventilation information indicates that the ventilation is good, determining the space correction coefficient to be a second correction coefficient; Wherein, the first correction coefficient is greater than the second correction coefficient.

3. The method according to claim 1, characterized in that The indoor personnel information also includes indoor personnel activity information; after determining the predicted change rate of carbon dioxide concentration according to the space correction coefficient and the theoretical change rate, the method further includes: Determining a personnel correction coefficient for the rate of change of carbon dioxide concentration based on the indoor personnel activity information; The predicted rate of change is corrected according to the personnel correction coefficient.

4. The method according to any one of claims 1 to 3, characterized in that: According to the predicted change rate, controlling the operation of the fresh air air conditioner to reduce the indoor carbon dioxide concentration includes: Determining target operating parameters of the fresh air air conditioner according to the predicted rate of change; The fresh air air conditioner is started and controlled to operate according to the target operating parameters to reduce indoor carbon dioxide concentration.

5. The method according to claim 4, characterized in that The starting of the fresh air air conditioner comprises: Determining, based on the predicted rate of change, a predicted time required for the indoor carbon dioxide concentration to reach a second preset concentration; After the predicted time, controlling the fresh air air conditioner to start; Wherein, the second preset concentration is greater than the first preset concentration.

6. A device for controlling a fresh air air conditioner, comprising a processor and a memory storing program instructions, characterized in that: The processor is configured to execute the method for controlling the fresh air air conditioner according to any one of claims 1 to 5 when running the program instructions.

7. A fresh air air conditioner, characterized in that: include: The air conditioner body is provided with a fresh air device to exchange air with the outside; The device for controlling the fresh air air conditioner as described in claim 6 is installed on the air conditioner body.

8. A storage medium storing program instructions, characterized in that: When the program instructions are executed, the method for controlling the fresh air air conditioner according to any one of claims 1 to 5 is executed.

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