Air conditioner control method based on window opening amount

Abstract

The invention discloses an air conditioner control method according to a window opening amount, which comprises the following steps: calibrating an adjusting area corresponding to each air conditioner according to the position of a window, and acquiring an environment parameter and the window opening amount of each adjusting area; calculating the opening ratio of each adjusting area according to the opening amount of each window; and inputting the environment parameters and the opening ratio of the corresponding adjustment area into a pre-trained adjustment model to obtain adjustment parameters of the corresponding adjustment area.

Description

Technical Field

[0001] The present invention relates to the technical field of air conditioning control, and in particular to an air conditioning control method according to the amount of window opening. Background Art

[0002] In large places with frequent personnel flow, large central air conditioning systems are usually used to adjust temperature and fresh air to ensure indoor air circulation and temperature comfort. When air quality deteriorates, in order to accelerate air circulation, windows are opened for ventilation. If this practice is not effectively coordinated with the air conditioning system, it may lead to serious waste of air conditioning energy consumption, especially in large spaces.

[0003] In the prior art, there is a method of detecting outdoor and indoor air quality, and automatically adjusting the air conditioner and window opening according to the difference between the indoor ambient temperature and the set temperature. There are some problems with this air conditioner and window control method. On the one hand, the windows can be easily adjusted manually without knowing it, resulting in unsatisfactory energy-saving effects. On the other hand, in large activity venues, there are often several windows, and some windows face different directions. There may be several central air conditioners in a large space. It only monitors the air quality and temperature inside and outside, and uniformly adjusts the air conditioner according to the concentration of pollutants inside and outside and the temperature difference. This not only makes the human body feel uncomfortable, but also fails to achieve good energy saving.

[0004] The purpose of the present invention is to design an air conditioning control method based on the window opening amount in view of the above-mentioned problems in the prior art. Summary of the invention

[0005] In view of this, an object of the present invention is to provide an air conditioning control method according to the window opening amount, which can solve the above-mentioned problem.

[0006] The present invention provides an air conditioning control method according to the window opening amount, comprising:

[0007] Calibrate the adjustment area corresponding to each air conditioner according to the location of the window, and obtain the environmental parameters and window opening amount of each adjustment area;

[0008] Calculate the opening ratio of each adjustment area according to the opening amount of each window;

[0009] The environmental parameters and opening ratio of the corresponding adjustment area are input into the pre-trained adjustment model to obtain the adjustment parameters of the corresponding adjustment area.

[0010] Further, the step of calibrating the adjustment area corresponding to each air conditioner according to the position of the window includes:

[0011] Get the number of air-conditioning outlets and openable windows in the space;

[0012] The openable windows are allocated to the nearest air-conditioning outlets, each air-conditioning outlet corresponds to a number of openable windows, and each outlet corresponds to the adjustment area.

[0013] Further, the obtaining of the environmental parameters and window opening amount of each adjustment area includes:

[0014] Acquiring the window opening amount by means of an ultrasonic sensor disposed at the window opening position;

[0015] The temperature difference between inside and outside and the difference in pollutant concentration between inside and outside are obtained through temperature sensors and PM2.5 sensors installed indoors and outdoors.

[0016] Further, obtaining the opening amount by an ultrasonic sensor disposed at the opening position of the window includes:

[0017] Obtaining the straight-line distance between the window sash and the window frame by means of the ultrasonic sensor;

[0018] Calculate the window opening angle based on the straight-line distance and the side length of the window sash.

[0019] Further, the calculation of the opening ratio of each adjustment area according to the opening amount of each window includes:

[0020] Obtaining the opening angle of each window, and classifying the opening angle according to the adjustment area;

[0021] Obtain the maximum opening of all windows in each of the adjustment areas;

[0022] The opening ratio of each adjustment area is calculated by the sum of the opening angle of the corresponding adjustment area and the maximum opening of all windows. The calculation formula of the opening ratio is as follows:

[0023]

[0024] Furthermore, the adjustment model is trained by the following steps:

[0025] The opening ratio, the difference between the internal and external temperatures, and the difference between the internal and external pollutant concentrations are collected, and the opening ratio, the difference between the internal and external temperatures, and the difference between the internal and external pollutant concentrations are divided into several time series samples. The fresh air delivery volume and the temperature to be adjusted of each time series sample are calibrated to form an adjustment sample training set;

[0026] The adjustment model is constructed by a neural network model, and the adjustment model is trained by adjusting a sample training set to obtain parameters of the adjustment model.

[0027] Furthermore, the calculation formula for the fresh air delivery volume is:

[0028] Q actual =Qbase ×f(θ),

[0029] Among them, Q actual is the actual fresh air delivery volume, f(θ) is the opening ratio, Q base As the basic fresh air delivery volume;

[0030] The calculation formula for basic fresh air delivery is:

[0031]

[0032] Where V is the volume of the room (m 3 ), C i is the current indoor pollutant concentration, C o is the outdoor pollutant concentration, C d is the target concentration of indoor pollutants.

[0033] Further, the calculation formula of the temperature to be adjusted is:

[0034] ΔT target =ΔT base +k×f(θ)×(T o -T i ),

[0035] Where k is the proportional coefficient of the heat exchange effect introduced by window opening, which needs to be adjusted according to the actual environment and window characteristics. o is the outdoor temperature, T i is the current indoor temperature, ΔT base is the target temperature adjustment assuming no windows are open;

[0036] The target temperature adjustment calculation formula is:

[0037] ΔT base =T body -T i ,

[0038] Among them, T body It is the comfortable temperature for the human body.

[0039] Furthermore, the environmental parameters and the opening ratio of the corresponding adjustment area are input into the pre-trained adjustment model, and the adjustment parameters of the corresponding adjustment area are obtained and then executed:

[0040] The manually adjusted air-conditioning parameters are obtained, the air-conditioning parameters are collected as new training samples, and the adjustment model is optimized through the new training samples.

[0041] Further, collecting the air conditioning parameters as new training samples includes:

[0042] Obtain the environmental parameters and window opening amount at the same time point, and calibrate the air-conditioning parameters to the same sample data.

[0043] Beneficial effects of the present invention:

[0044] First, by accurately calibrating the adjustment area of ​​each window and air conditioner, differentiated temperature control and ventilation strategies can be implemented for different areas according to the actual window opening conditions, thereby improving the comfort of each indoor area. Based on the actual spatial layout, the scope of action of each air conditioner is determined to reduce the energy waste of cold or hot air and achieve energy saving. By obtaining the environmental parameters of the adjustment area, the temperature, air quality and other conditions of each area can be grasped in real time, achieving more precise adjustment.

[0045] Second, by calculating the window opening ratio of each adjustment area, it can help determine the effect of natural ventilation, so as to intelligently choose whether auxiliary ventilation is needed. Reduce unnecessary air conditioning use and achieve more efficient air circulation by utilizing natural ventilation. Reduce the cooling / heating load when the windows are open, thereby optimizing system energy efficiency.

[0046] Third, by inputting the opening ratio and environmental parameters into the adjustment model, the parameters of the air-conditioning system such as temperature and fresh air volume can be automatically adjusted, so that the system can cope with the ever-changing outdoor environment and user needs, and dynamically adjust the air-conditioning output in different usage scenarios, thereby improving the overall energy efficiency and reducing energy waste. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0048] Figure 1 It is a flow chart of the method of embodiment 1.

[0049] Figure 2 It is a schematic diagram of the spatial distribution of the first embodiment.

[0050] Figure 3 It is a schematic diagram of the ultrasonic sensor arrangement of the first embodiment. DETAILED DESCRIPTION

[0051] To facilitate understanding by those skilled in the art, the structure of the present invention is now further described in detail with reference to the embodiments and the accompanying drawings. It should be understood that the steps mentioned in the present embodiment, unless otherwise specified in their order, can be adjusted in order according to actual needs, and can even be executed simultaneously or partially simultaneously.

[0052] Embodiment 1

[0053] like Figure 1 As shown, an embodiment of the present invention provides an air conditioning control method according to the window opening amount, comprising:

[0054] S1 calibrates the adjustment area corresponding to each air conditioner according to the location of the window, and obtains the environmental parameters and window opening amount of each adjustment area;

[0055] S101 obtains the number of air-conditioning outlets and the number of openable windows in the space;

[0056] S102 allocates the openable windows to the nearest air-conditioning outlets, each air-conditioning outlet corresponds to a number of openable windows, and obtains the adjustment area corresponding to each outlet.

[0057] In this step, if Figure 2 As shown, in large event venues, there are often several windows, and some windows face different directions. In large spaces, there may be several central air conditioners. Since central air conditioners generally have four-directional adjustment functions, through reasonable matching of windows and different air outlets of air conditioners, the adjustment areas of different directions of each air conditioner are calibrated, and the corresponding adjustment range of each air outlet is determined. According to the principle of proximity of window positions and air outlet positions, windows are allocated to corresponding air outlets of air conditioners to avoid waste of air conditioning resources. Through reasonable allocation, energy use is optimized, the operating efficiency of the air conditioning system is improved, and energy consumption expenses are reduced.

[0058] S103 obtains the window opening amount by using an ultrasonic sensor disposed at the window opening position;

[0059] Specifically, the ultrasonic sensor is arranged on the window sash side.

[0060] S1031 obtains the straight-line distance between the window sash and the window frame through the ultrasonic sensor;

[0061] S1032 calculates the opening angle of the window according to the straight-line distance and the side length of the window sash.

[0062] S104 obtains the difference between the internal and external temperatures and the difference between the internal and external pollutant concentrations through temperature sensors and PM2.5 sensors installed indoors and outdoors.

[0063] In this step, the traditional window and air conditioning adjustment system usually adjusts the windows and air conditioning synchronously according to the ambient temperature difference to achieve environmental protection and energy saving of air conditioning. In large public places, windows are easily adjusted manually. If the air conditioning cannot be adjusted in time according to the opening amount of the windows, and only the air quality and temperature inside and outside are monitored, and the air conditioning is uniformly adjusted according to the concentration of pollutants inside and outside and the temperature difference, it will not only make people feel uncomfortable, but also fail to achieve good energy saving. Figure 3As shown in the figure, the ultrasonic sensor is used to accurately obtain the straight-line distance between the window sash and the window frame. When the length of the window sash is known, the opening angle of the window can be calculated by the sine theorem. The ultrasonic sensor provides real-time and accurate information on the amount of window opening, which helps optimize the air conditioning adjustment settings. Through real-time monitoring, the air conditioning output can be effectively adjusted and natural ventilation can be used to reduce energy consumption.

[0064] S2 calculates the opening ratio of each adjustment area according to the opening amount of each window;

[0065] S201 obtains the opening angle of each window, and classifies the opening angle according to the adjustment area;

[0066] S202 obtains the maximum opening of all windows in each of the adjustment areas;

[0067] S203 calculates the opening ratio of each adjustment area by the sum of the opening angle of the corresponding adjustment area and the maximum opening of all windows. The calculation formula of the opening ratio is as follows:

[0068]

[0069] In this step, in the traditional system, it is impossible to accurately evaluate and quantify the natural ventilation volume of each adjustment area, so it is difficult to complement the mechanical ventilation and temperature regulation of the air conditioner. Each adjustment area has a different window opening state. By obtaining the opening angle of each window, classifying it into the corresponding adjustment area, and calculating the opening ratio of all windows in the adjustment area, a quantitative indicator is provided to evaluate the ventilation degree of the natural ventilation of the windows in the corresponding adjustment area, which can help formulate a more accurate air conditioning adjustment strategy, complement natural ventilation, and reduce energy consumption.

[0070] S3 inputs the environmental parameters and the opening ratio of the corresponding adjustment area into the pre-trained adjustment model to obtain the adjustment parameters of the corresponding adjustment area.

[0071] In this step, the air-conditioning system needs to adjust its operation under dynamically changing environmental conditions (such as window opening, temperature difference, and pollutant concentration) to achieve energy saving and human comfort. The adjustment model is trained using a neural network, and parameters such as opening ratio, internal and external temperature difference, and pollutant concentration difference are input to predict the optimal air-conditioning power and wind speed, accurately adjust the air-conditioning output, adapt to environmental changes, achieve higher energy utilization efficiency, provide a real-time dynamic adjustment mechanism, and improve indoor comfort.

[0072] Specifically, the adjustment model is trained through the following steps:

[0073] The opening ratio, the difference between the internal and external temperatures, and the difference between the internal and external pollutant concentrations are collected, and the opening ratio, the difference between the internal and external temperatures, and the difference between the internal and external pollutant concentrations are divided into several time series samples. The fresh air delivery volume and the temperature to be adjusted of each time series sample are calibrated to form an adjustment sample training set;

[0074] The adjustment model is constructed by a neural network model, and the adjustment model is trained by adjusting a sample training set to obtain parameters of the adjustment model.

[0075] In this step, in a dynamically changing environment, it is difficult to grasp the trend of environmental changes with static data alone. The environmental parameters and air conditioning usage are divided into time series samples, and the adjustment strategy is effectively trained through statistical trends. The time-varying information is used to enhance the model's predictive ability and make decisions more timely.

[0076] The initial data of the calibrated sample can be preliminarily calculated using the calculation formula.

[0077] Specifically, the calculation formula for the fresh air delivery volume is:

[0078] Q actual =Q base ×f(θ),

[0079] Among them, Q actual is the actual fresh air delivery volume, f(θ) is the opening ratio, Q base As the basic fresh air delivery volume;

[0080] The calculation formula for basic fresh air delivery is:

[0081]

[0082] Where V is the volume of the room (m 3 ), C i is the current indoor pollutant concentration, C o is the outdoor pollutant concentration, C d is the target concentration of indoor pollutants.

[0083] Specifically, the calculation formula for the temperature to be adjusted is:

[0084] ΔT target =ΔT base +k×f(θ)×(T o -T i ),

[0085] Where k is the proportional coefficient of the heat exchange effect introduced by window opening, which needs to be adjusted according to the actual environment and window characteristics. o is the outdoor temperature, T i is the current indoor temperature, ΔT baseis the target temperature adjustment assuming no windows are open;

[0086] The target temperature adjustment calculation formula is:

[0087] ΔT base =T body -T i ,

[0088] Among them, T body It is the comfortable temperature for the human body.

[0089] In this step, the window opening angle directly affects the ventilation volume. Generally speaking, the larger the window opening, the greater the ventilation volume. Therefore, f(θ) can be used as a ventilation coefficient as the opening ratio. The window opening affects the indoor and outdoor heat exchange, so it is necessary to consider the additional heat loss or gain caused by opening the window. Therefore, f(θ) can be used as a temperature coefficient as the opening ratio. The input data such as the opening and temperature difference of a specific time series are bound to the calculated fresh air delivery volume and the temperature to be adjusted (as the target variable). The initial adjustment model can be trained through the basic initial data. Further, real-time temperature and air volume adjustment is performed through human perception, and the adjusted target variables are collected. Then, the window opening, temperature difference and other input data at that time are bound to form new data samples for training, thereby ensuring the adjustment accuracy of the model.

[0090] Furthermore, the environmental parameters and the opening ratio of the corresponding adjustment area are input into the pre-trained adjustment model, and the adjustment parameters of the corresponding adjustment area are obtained and then executed:

[0091] The manually adjusted air-conditioning parameters are obtained, the air-conditioning parameters are collected as new training samples, and the adjustment model is optimized through the new training samples.

[0092] Further, collecting the air conditioning parameters as new training samples includes:

[0093] Obtain the environmental parameters and window opening amount at the same time point, and calibrate the air-conditioning parameters to the same sample data.

[0094] In this step, fixed model parameters may not be able to adapt to changes in the environment and usage habits in the long term. By collecting manually adjusted air conditioning parameters, the adjustment model is continuously updated and optimized to enhance the adaptability of the model. The model can learn user preferences and new environmental changes, and gradually improve the prediction accuracy. The continuous training and optimization mechanism gradually improves the model performance and always maintains its effectiveness for actual scenarios.

[0095] Those skilled in the art will appreciate that 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 (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0096] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0097] 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 including 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.

[0098] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0099] It should be noted that in the claims, any reference signs placed between brackets shall not be construed as limiting the claims. The word "comprising" does not exclude the presence of components or steps not listed in the claim. The word "a" or "an" preceding a component does not exclude the presence of a plurality of such components. The invention may be implemented by means of hardware comprising several different components and by means of a suitably programmed computer. In a unit claim enumerating several means, several of these means may be embodied by the same item of hardware. The use of the words first, second, and third etc. does not indicate any order. These words may be interpreted as names.

[0100] Although the preferred embodiments of the present invention have been described, those skilled in the art may make additional changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0101] Obviously, those skilled in the art may make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

[0102] In the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", "connected", "fixed" and the like should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, it can be the internal connection of two elements or the interaction relationship between two elements. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0103] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms should not be understood as necessarily referring to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, unless they are contradictory.

Claims

1. An air conditioning control method based on the window opening amount, characterized in that: include: Calibrate the adjustment area corresponding to each air conditioner according to the location of the window, and obtain the environmental parameters and window opening amount of each adjustment area; Calculate the opening ratio of each adjustment area according to the opening amount of each window; The environmental parameters and opening ratio of the corresponding adjustment area are input into the pre-trained adjustment model to obtain the adjustment parameters of the corresponding adjustment area.

2. The air conditioning control method according to the window opening amount according to claim 1, characterized in that: The step of calibrating the adjustment area corresponding to each air conditioner according to the position of the window includes: Get the number of air-conditioning outlets and openable windows in the space; The openable windows are allocated to the nearest air-conditioning outlets, each air-conditioning outlet corresponds to a number of openable windows, and each outlet corresponds to the adjustment area.

3. The air conditioning control method according to the window opening amount according to claim 2, characterized in that: The obtaining of the environmental parameters and window opening amount of each adjustment area comprises: Acquiring the window opening amount by means of an ultrasonic sensor disposed at the window opening position; The temperature difference between inside and outside and the difference in pollutant concentration between inside and outside are obtained through temperature sensors and PM2.5 sensors installed indoors and outdoors.

4. The air conditioning control method according to the window opening amount according to claim 3, characterized in that: The step of obtaining the opening amount by using an ultrasonic sensor disposed at the opening position of the window comprises: Obtaining the straight-line distance between the window sash and the window frame by means of the ultrasonic sensor; Calculate the window opening angle based on the straight-line distance and the side length of the window sash.

5. The air conditioning control method according to the window opening amount according to claim 4, characterized in that: Calculating the opening ratio of each adjustment area according to the opening amount of each window includes: Obtaining the opening angle of each window, and classifying the opening angle according to the adjustment area; Obtain the maximum opening of all windows in each of the adjustment areas; The opening ratio of each adjustment area is calculated by the sum of the opening angle of the corresponding adjustment area and the maximum opening of all windows. The calculation formula of the opening ratio is as follows:

6. The air conditioning control method according to the window opening amount according to claim 5, characterized in that: The adjustment model is trained by the following steps: The opening ratio, the difference between the internal and external temperatures, and the difference between the internal and external pollutant concentrations are collected, and the opening ratio, the difference between the internal and external temperatures, and the difference between the internal and external pollutant concentrations are divided into several time series samples. The fresh air delivery volume and the temperature to be adjusted of each time series sample are calibrated to form an adjustment sample training set; The adjustment model is constructed by a neural network model, and the adjustment model is trained by adjusting a sample training set to obtain parameters of the adjustment model.

7. The air conditioning control method according to the window opening amount according to claim 6, characterized in that: The calculation formula for the fresh air delivery volume is: Q actual =Q base ×f(θ), Among them, Q actual is the actual fresh air delivery volume, f(θ) is the opening ratio, Q base As the basic fresh air delivery volume; The calculation formula for basic fresh air delivery is: Where V is the volume of the room (m 3 ), C i is the current indoor pollutant concentration, C o is the outdoor pollutant concentration, C d is the target concentration of indoor pollutants.

8. The air conditioning control method according to the window opening amount according to claim 6, characterized in that: The calculation formula of the temperature to be adjusted is: ΔT target =ΔT base +k×f(θ)×(T o -T i ), Where k is the proportional coefficient of the heat exchange effect introduced by window opening, which needs to be adjusted according to the actual environment and window characteristics. o is the outdoor temperature, T i is the current indoor temperature, ΔT base is the target temperature adjustment assuming no windows are open; The target temperature adjustment calculation formula is: ΔT base =T body -T i , Among them, T body It is the comfortable temperature for the human body.

9. The air conditioning control method according to the window opening amount according to claim 1, characterized in that: The environmental parameters and opening ratio of the corresponding adjustment area are input into the pre-trained adjustment model, and the adjustment parameters of the corresponding adjustment area are obtained and then executed: The manually adjusted air-conditioning parameters are obtained, the air-conditioning parameters are collected as new training samples, and the adjustment model is optimized through the new training samples.

10. The air conditioning control method according to the window opening amount according to claim 9, characterized in that: The collecting of the air conditioning parameters as new training samples comprises: Obtain the environmental parameters and window opening amount at the same time point, and calibrate the air-conditioning parameters to the same sample data.

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