Air conditioner and control method thereof

Abstract

The application provides an air conditioner and a control method thereof. The air conditioner comprises: a refrigerant circulation loop; a human sensor; a carbon dioxide sensor; a temperature and humidity sensor; a fresh air fan; an indoor fan; and a controller configured to: after determining the operation mode of the air conditioner, acquire the indoor number of people, the indoor carbon dioxide concentration and the indoor environment temperature and humidity; based on a seasonal autoregressive integrated moving average model, predict the indoor number of people, the indoor carbon dioxide concentration and the indoor environment temperature and humidity in a future preset time period to obtain a predicted number of people, a predicted indoor carbon dioxide concentration and a predicted indoor environment temperature and humidity; and according to at least one of the operation mode of the air conditioner, the predicted number of people, the predicted indoor carbon dioxide concentration and the predicted indoor environment temperature and humidity, control the frequency of the fresh air fan, the indoor fan and the compressor of the air conditioner. The application can comprehensively judge the indoor environment state according to the predicted parameters, can realize dynamic self-adaptive adjustment of the operation strategy of the air conditioner, and can improve the control precision.

Description

Technical Field

[0001] This invention relates to the field of home appliance technology, and in particular to an air conditioner and its control method. Background Technology

[0002] In related technologies, air conditioners typically employ a fixed operating strategy. For example, after the user manually sets the temperature, fan speed, and operating mode, the equipment operates at a constant speed according to the set parameters for an extended period.

[0003] However, because the operating parameters are fixed and control is based solely on temperature, it cannot be automatically adjusted according to the actual scenario, and the control accuracy is low, which can easily lead to energy waste. Summary of the Invention

[0004] The present invention aims to solve at least one of the technical problems existing in the prior art.

[0005] Therefore, one objective of this invention is to provide an air conditioner that can dynamically and adaptively adjust its operating strategy, improve control accuracy and response speed, reduce energy consumption while ensuring the comfort of indoor occupants, and balance user comfort with energy-saving effects.

[0006] Therefore, a second objective of this invention is to provide a control method for an air conditioner.

[0007] To achieve the above objectives, a first aspect of the present invention provides an air conditioner, comprising: a refrigerant circulation loop, wherein the refrigerant circulates in a loop consisting of a compressor, a four-way valve, a condenser, a throttling component, and an evaporator, wherein one of the condenser and the evaporator is an outdoor heat exchanger and the other is an indoor heat exchanger; a human presence sensor for detecting the number of people indoors; a carbon dioxide sensor for detecting the indoor carbon dioxide concentration; a temperature and humidity sensor for detecting the indoor ambient temperature and humidity; a fresh air fan for drawing outdoor fresh air into the air conditioner unit and supplying fresh air into the room; an indoor fan for circulating indoor air; and a controller. The controller is configured to: after determining the operating mode of the air conditioner, acquire the number of people in the room, the indoor carbon dioxide concentration, and the indoor temperature and humidity; predict the number of people in the room, the indoor carbon dioxide concentration, and the indoor temperature and humidity for a future preset time period based on a seasonal autoregressive integral moving average model, to obtain the predicted number of people, the predicted indoor carbon dioxide concentration, and the predicted indoor temperature and humidity; and control the frequency of the fresh air fan, the indoor fan, and the compressor of the air conditioner according to at least one of the operating mode of the air conditioner, the predicted number of people, the predicted indoor carbon dioxide concentration, and the predicted indoor temperature and humidity.

[0008] According to an embodiment of the present invention, the air conditioner predicts the number of people indoors, indoor carbon dioxide concentration, and indoor temperature and humidity within a preset time period based on a seasonal autoregressive integral moving average model. It then comprehensively judges the indoor environmental state based on the predicted parameters. By predicting the number of people indoors, indoor carbon dioxide concentration, and indoor temperature and humidity within a future time period, it achieves multi-indicator fusion for indoor environmental state control, i.e., constructing a multi-source data fusion prediction mechanism to avoid misjudgments caused by a single indicator. This controls the frequency of the air conditioner's fresh air fan, indoor fan, and compressor, enabling dynamic adaptive adjustment of the air conditioner's operating strategy, improving control accuracy and response speed, and reducing air conditioner energy consumption while ensuring indoor occupant comfort, thus balancing user comfort and energy-saving effects.

[0009] In some embodiments, when the frequency of the air conditioner's fresh air fan, indoor fan, and compressor is controlled according to at least one of the air conditioner's operating mode, the predicted number of people, the predicted indoor carbon dioxide concentration, and the predicted indoor ambient temperature and humidity, the controller is configured to: when the predicted number of people is a first preset number, control the compressor to operate at a first frequency, turn off the indoor fan, or control the indoor fan to operate at a first speed and turn off the fresh air fan; when the predicted number of people is greater than or equal to a second preset number and less than or equal to a third preset number, control the compressor to operate at a second frequency, control the indoor fan to operate at a second speed, and control the fresh air fan to operate at a first fresh air speed; when the predicted number of people is greater than or equal to a fourth preset number and less than or equal to a fifth preset number, control the compressor to operate at a third frequency, control the indoor fan to operate at a third speed, and control the fresh air fan to operate at a second fresh air speed. When the predicted number of people exceeds the fifth preset number, the compressor is controlled to operate at a fourth frequency, the indoor fan at a fourth or fifth speed setting, or the indoor fan operates between the fourth and fifth speed settings, and the fresh air fan operates at a third fresh air speed setting. This is achieved when: the first preset number of people is less than the second preset number of people; the second preset number of people is less than the third preset number of people; the third preset number of people is less than the fourth preset number of people; the fourth preset number of people is less than the fifth preset number of people; the first frequency is less than the second frequency; the second frequency is less than the third frequency; the third frequency is less than the fourth frequency; the first fresh air speed is less than the second fresh air speed; the second fresh air speed is less than the third fresh air speed; the first speed is less than the second speed; the second speed is less than the third speed; the third speed is less than the fourth speed; and the fourth speed is less than the fifth speed. By determining whether the predicted number of people meets the preset conditions, the frequencies of the air conditioner's fresh air fan, indoor fan, and compressor are adjusted to operate according to preset actions. This allows for precise matching of the actual needs of the people indoors, thereby improving user comfort and reducing air conditioner energy consumption.

[0010] In some embodiments, when the frequency of the air conditioner's fresh air fan, indoor fan, and compressor is controlled according to at least one of the air conditioner's operating mode, the predicted number of people, the predicted indoor carbon dioxide concentration, and the predicted indoor ambient temperature and humidity, the controller is configured to: control the fresh air fan and indoor fan to operate at their current speed when the predicted indoor carbon dioxide concentration is less than or equal to a first preset concentration; and control the fresh air fan and indoor fan to increase their speed by the first preset level based on the current fresh air level when the predicted indoor carbon dioxide concentration is greater than the first preset concentration and less than or equal to a second preset concentration. The air conditioner operates at its current setting. If the predicted indoor carbon dioxide concentration is greater than the second preset concentration and less than or equal to the third preset concentration, the fresh air fan is controlled to increase to the second preset setting based on the current fresh air setting, and the indoor fan is controlled to increase to the first preset setting based on the current setting. If the predicted indoor carbon dioxide concentration is greater than the third preset concentration, the fresh air fan is controlled to operate at the highest fresh air setting, and the indoor fan is controlled to increase to the second preset setting based on the current setting. The first preset concentration is less than the second preset concentration, the second preset concentration is less than the third preset concentration, and the first preset setting is less than the second preset setting. By determining whether the predicted indoor carbon dioxide concentration meets the preset conditions, the fresh air fan and indoor fan of the air conditioner are controlled to ensure indoor air quality and avoid problems such as oxygen deficiency, drowsiness, and decreased comfort caused by excessively high carbon dioxide concentrations in enclosed spaces, thereby improving ventilation in enclosed environments.

[0011] In some embodiments, when controlling the frequencies of the air conditioner's fresh air fan, indoor fan, and compressor based on at least one of the air conditioner's operating mode, the predicted number of people, the predicted indoor carbon dioxide concentration, and the predicted indoor ambient temperature and humidity, the controller is configured to: control the compressor to operate at a fifth frequency when the air conditioner is in cooling mode and the predicted temperature is less than a first preset temperature; control the compressor to operate at a sixth frequency when the air conditioner is in cooling mode and the predicted temperature is greater than or equal to the first preset temperature and less than or equal to a second preset temperature; and control the compressor to operate at a seventh frequency when the air conditioner is in cooling mode and the predicted temperature is greater than the second preset temperature, wherein the fifth frequency is less than the sixth frequency, and the sixth frequency is less than the seventh frequency. During air conditioner cooling operation, by determining whether the predicted temperature meets the preset conditions and controlling the compressor frequency, the indoor cooling load can be accurately matched, the indoor temperature can be kept stable, and the air conditioner's operating power consumption can be reduced.

[0012] In some embodiments, when controlling the frequencies of the air conditioner's fresh air fan, indoor fan, and compressor based on at least one of the air conditioner's operating mode, the predicted number of people, the predicted indoor carbon dioxide concentration, and the predicted indoor ambient temperature and humidity, the controller is configured to: control the compressor to operate at an eighth frequency when the air conditioner is in heating mode and the predicted temperature is less than a third preset temperature; control the compressor to operate at a ninth frequency when the air conditioner is in heating mode and the predicted temperature is greater than or equal to the third preset temperature and less than the first preset temperature; and control the compressor to operate at a tenth frequency when the air conditioner is in heating mode and the predicted temperature is greater than the first preset temperature, wherein the eighth frequency is greater than the ninth frequency, the ninth frequency is greater than the tenth frequency, and the third preset temperature is less than the first preset temperature. When the air conditioner is in heating mode, by determining whether the predicted temperature meets the preset conditions and controlling the compressor frequency, the indoor heating demand can be dynamically matched, keeping the indoor temperature stable and improving user comfort.

[0013] In some embodiments, when the indoor number of people, indoor carbon dioxide concentration, and indoor temperature and humidity are predicted for a preset future time period based on a seasonal autoregressive integral moving average model, and the predicted number of people, predicted indoor carbon dioxide concentration, and predicted indoor temperature and humidity are obtained, the controller is configured to: input the indoor number of people, indoor carbon dioxide concentration, and indoor temperature and humidity into the seasonal autoregressive integral moving average model, and output the predicted number of people, predicted indoor carbon dioxide concentration, and predicted indoor temperature and humidity for the preset future time period. By inputting the indoor number of people, indoor carbon dioxide concentration, and indoor temperature and humidity into the seasonal autoregressive integral moving average model and outputting the predicted number of people, predicted indoor carbon dioxide concentration, and predicted indoor temperature and humidity for the preset future time period, the periodic change patterns of the indoor scene can be accurately captured, thereby improving prediction accuracy and providing a basis for the dynamic control of the air conditioner.

[0014] In some embodiments, when the frequency of the air conditioner's fresh air fan, indoor fan, and compressor is controlled according to at least one of the air conditioner's operating mode, the predicted number of users, the predicted indoor carbon dioxide concentration, and the predicted indoor ambient temperature and humidity, the controller is configured to: when the predicted number of users is greater than a fifth preset number, the air conditioner is operating in cooling mode, and the predicted temperature is less than a first preset temperature, control the air conditioner's compressor to run according to the predicted number of users, and then control the compressor to run again according to the predicted temperature; when the predicted number of users is greater than a fifth preset number, the air conditioner is operating in cooling mode, and the predicted temperature is greater than or equal to a first preset temperature and less than or equal to a second preset temperature, control the air conditioner's compressor to run according to the predicted number of users, and then control the compressor to run again according to the predicted temperature; when the predicted number of users is greater than a fifth preset number, the air conditioner is operating in cooling mode, and the predicted temperature is greater than a second preset temperature, control the air conditioner's compressor to run according to the predicted number of users, and then control the compressor to run again according to the predicted temperature, wherein the first preset temperature is less than the second preset temperature. When the air conditioner is running in cooling mode, by judging whether the predicted number of people and the predicted temperature meet the preset conditions, the compressor of the air conditioner is controlled to run in sequence according to the priority of the predicted number of people and the predicted temperature. This can achieve cooling conditions under multiple constraints and improve the control accuracy of the air conditioner.

[0015] In some embodiments, when the frequency of the air conditioner's fresh air fan, indoor fan, and compressor is controlled according to at least one of the air conditioner's operating mode, the predicted number of users, the predicted indoor carbon dioxide concentration, and the predicted indoor ambient temperature and humidity, the controller is configured to: when the predicted number of users is greater than a fifth preset number, the air conditioner is operating in heating mode, and the predicted temperature is less than a third preset temperature, control the air conditioner's compressor to operate according to the predicted number of users, and then control the compressor to operate again according to the predicted temperature; when the predicted number of users is greater than a fifth preset number, the air conditioner is operating in heating mode, and the predicted temperature is greater than or equal to a third preset temperature and less than or equal to a first preset temperature, control the air conditioner's compressor to operate according to the predicted number of users, and then control the compressor to operate again according to the predicted temperature; when the predicted number of users is greater than a fifth preset number, the air conditioner is operating in heating mode, and the predicted temperature is greater than a first preset temperature, control the air conditioner's compressor to operate according to the predicted number of users, and then control the compressor to operate again according to the predicted temperature, wherein the third preset temperature is less than the first preset temperature. When the air conditioner is in heating mode, by judging whether the predicted number of people and the predicted temperature meet the preset conditions, the compressor of the air conditioner is controlled to operate in sequence according to the priority of the predicted number of people and the predicted temperature. This can meet the heating demand under high load conditions and improve the control accuracy of the air conditioner.

[0016] In some embodiments, after controlling the frequencies of the air conditioner's fresh air fan, indoor fan, and compressor based on at least one of the air conditioner's operating mode, the predicted number of people, the predicted indoor carbon dioxide concentration, and the predicted indoor temperature and humidity, the controller is further configured to: control the air conditioner to switch to dehumidification mode when the indoor humidity is greater than a preset humidity threshold. By determining whether the indoor humidity meets the preset conditions and controlling the air conditioner to switch to dehumidification mode, dehumidification can be completed while maintaining a stable indoor temperature, improving the user experience.

[0017] To achieve the above objectives, a second aspect of the present invention provides a method for controlling an air conditioner, comprising: after determining the operating mode of the air conditioner, acquiring the number of people indoors, the indoor carbon dioxide concentration, and the indoor temperature and humidity; predicting the number of people indoors, the indoor carbon dioxide concentration, and the indoor temperature and humidity for a future preset time period based on a seasonal autoregressive integral moving average model, to obtain the predicted number of people, the predicted indoor carbon dioxide concentration, and the predicted indoor temperature and humidity; and controlling the frequency of the air conditioner's fresh air fan, the indoor fan, and the compressor according to at least one of the air conditioner's operating mode, the predicted number of people, the predicted indoor carbon dioxide concentration, and the predicted indoor temperature and humidity.

[0018] According to the air conditioner control method of the present invention, based on a seasonal autoregressive integral moving average model, the number of people indoors, indoor carbon dioxide concentration, and indoor temperature and humidity are predicted for a preset time period in the future. The indoor environmental state is comprehensively judged based on the predicted parameters. By predicting the number of people indoors, indoor carbon dioxide concentration, and indoor temperature and humidity in the future time period, the control of indoor environmental state is achieved by integrating multiple indicators, that is, constructing a prediction mechanism for multi-source data fusion, avoiding misjudgments caused by a single indicator, thereby controlling the frequency of the fresh air fan, indoor fan, and compressor of the air conditioner. This enables dynamic adaptive adjustment of the air conditioner's operating strategy, improves control accuracy and response speed, and reduces air conditioner energy consumption while ensuring the comfort of indoor occupants, thus balancing user comfort and energy saving.

[0019] Additional aspects and advantages of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. Attached Figure Description

[0020] The above and / or additional aspects and advantages of the present invention will become apparent and readily understood from the description of the embodiments taken in conjunction with the following drawings, in which: Figure 1 This is a schematic diagram of the refrigeration cycle system of an air conditioner according to an embodiment of the present invention; Figure 2This is a schematic diagram of the controller according to an embodiment of the present invention; Figure 3 This is a flowchart of an air conditioner control method according to an embodiment of the present invention; Figure 4 This is a flowchart of the process of constructing a seasonal autoregressive integral moving average model according to an embodiment of the present invention; Figure 5 This is a flowchart of an air conditioner control process based on predicted occupancy, according to an embodiment of the present invention. Figure 6 This is a flowchart of an air conditioner control process based on the prediction of indoor carbon dioxide concentration according to an embodiment of the present invention.

[0021] Figure label: Controller 10; Bus 110; Memory 120; Processor 130; Communication interface 140. Detailed Implementation

[0022] The embodiments described with reference to the accompanying drawings are exemplary, and the embodiments of the present invention are described in detail below.

[0023] The following is for reference. Figure 1 The refrigeration cycle system of an air conditioner according to an embodiment of the present invention is described.

[0024] like Figure 1 The diagram shown is a schematic representation of the refrigeration cycle system of an air conditioner according to an embodiment of the present invention. Figure 1 As can be seen, one of the indoor heat exchangers and the other of the outdoor heat exchanger is a condenser and an evaporator, respectively. In this invention, the air conditioner executes a refrigeration cycle by using a compressor, a condenser, an electronic expansion valve, an evaporator, and a four-way valve. The refrigeration cycle includes a series of processes involving compression, condensation, expansion, and evaporation, and supplies refrigerant to the conditioned and heat-exchanged air.

[0025] The compressor compresses the refrigerant gas, which is in a high-temperature, high-pressure state and enters through the return pipe, and then discharges the compressed refrigerant gas through the exhaust pipe. The discharged refrigerant gas flows into the condenser through the condenser inlet pipe. The condenser condenses the compressed refrigerant into a liquid phase, and the heat is released to the surrounding environment through the condensation process.

[0026] The indoor and outdoor heat exchangers function as either condensers or evaporators. When the indoor heat exchanger is used as a condenser, the air conditioner functions as a heater in heating mode; when the indoor heat exchanger is used as an evaporator, the air conditioner functions as a cooler in cooling mode.

[0027] The electronic expansion valve expands the high-temperature, high-pressure liquid refrigerant, which condenses in the condenser and is discharged through the condenser outlet pipe, into a low-pressure liquid refrigerant. The evaporator evaporates the expanded refrigerant in the expansion valve and returns the low-temperature, low-pressure refrigerant gas to the compressor. The evaporator achieves a cooling effect by utilizing the latent heat of refrigerant evaporation to exchange heat with the material being cooled. Throughout the cycle, the air conditioner regulates the temperature of the indoor space.

[0028] The following is for reference. Figure 2 A controller according to an embodiment of the present invention.

[0029] like Figure 2 The diagram shown is a structural schematic of a controller according to an embodiment of the present invention. Figure 2 As can be seen, the controller 10 includes a processor 130, and optionally, also includes a memory 120 and a communication interface 140 connected to the processor 130. The processor 130, memory 120 and communication interface 140 are connected via a bus 110.

[0030] Processor 130 may be a central processing unit (CPU), a general-purpose processor (NP), a network processor (NP), a digital signal processor (DSP), a microprocessor, a microcontroller, a programmable logic device (PLD), or any combination thereof. Processor 130 may also be any other device with processing capabilities, such as a circuit, device, or software module. Processor 130 may also include multiple CPUs, and processor 130 may be a single-core processor. CPU) processor 130, or multi-core (multi) CPU) Processor 130. Here, processor 130 may refer to one or more devices, circuits, or processing cores used to process data (such as computer program instructions).

[0031] Memory 120 can be read-only memory 20 (read It can be a static storage device (ROM) or other type of static storage device that can store static information and instructions, a random access memory (RAM) or other type of dynamic storage device that can store information and instructions, or an electrically erasable programmable read-only memory (EPROM). EEPROM (Electronic EPROM-only memory) and Compact Disc Retrieval System (CD-ROM) Only memory, CD The storage medium can be ROM or other optical disc storage, optical disk storage (including compressed optical discs, laser discs, optical discs, digital universal optical discs, Blu-ray discs, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium capable of carrying or storing desired program code in the form of instructions or data structures and accessible by a computer. This application embodiment does not impose any limitations on this. The memory 120 can exist independently or be integrated with the processor 130. The memory 120 may contain computer program code. The processor 130 is used to execute the computer program code stored in the memory 120, thereby implementing the air conditioner control method provided in this application embodiment.

[0032] The communication interface 140 can be used to communicate with other devices or communication networks (such as Ethernet, radio access network (RAN), wireless local area networks (WLAN), etc.). The communication interface 140 can be a module, circuit, transceiver, or any device capable of communication.

[0033] Bus 110 can be a peripheral component interconnect (PCI) bus 110 or an extended industry standard architecture (EISA) bus 110, etc. Bus 110 can be divided into address bus 110, data bus 110, control bus 110, etc.

[0034] In related technologies, air conditioners, such as household and commercial split-type air conditioners or central air conditioning systems, generally adopt a fixed operation strategy. However, during the day, people are densely populated and have a high level of activity, resulting in a rapid rate of indoor heat generation and carbon dioxide accumulation. At night, people are fewer and their activities slow down, causing the indoor heat load and air quality load to decrease simultaneously. Furthermore, there are significant differences in people's work and rest schedules in different seasons and on weekdays and weekends.

[0035] Therefore, in practical applications, there may be issues such as insufficient cooling or heating capacity during high daytime loads and continued high-power operation during low nighttime loads, resulting in energy waste. Furthermore, because the environmental conditions are not comprehensively assessed based on parameters such as the number of people indoors and carbon dioxide concentration, problems such as stuffy air, drowsiness, and discomfort can easily occur in enclosed spaces. In addition, the aforementioned control methods lack predictive mechanisms and cannot anticipate changes in advance, only passively responding to environmental changes, leading to a lag in temperature and air quality regulation.

[0036] Therefore, the air conditioner of this invention constructs a prediction mechanism based on multi-source data fusion to avoid misjudgments caused by a single indicator, thereby controlling the frequency of the air conditioner's fresh air fan, indoor fan, and compressor. This enables dynamic adaptive adjustment of the air conditioner's operating strategy, improves control accuracy and response speed, and reduces air conditioner energy consumption while ensuring the comfort of indoor occupants, thus balancing user comfort and energy-saving effects.

[0037] The air conditioner according to an embodiment of the present invention is described below.

[0038] The air conditioner of this invention includes a refrigerant circulation loop, a human presence sensor, a carbon dioxide sensor, a temperature and humidity sensor, a fresh air fan, an indoor fan, and a controller. The refrigerant circulation loop circulates the refrigerant in a loop consisting of a compressor, a four-way valve, a condenser, a throttling component, and an evaporator. One of the condenser and evaporator is an outdoor heat exchanger, and the other is an indoor heat exchanger. The human presence sensor detects the number of people in the room. The carbon dioxide sensor detects the indoor carbon dioxide concentration. The temperature and humidity sensor detects the indoor temperature and humidity. The fresh air fan draws fresh outdoor air into the air conditioner unit and delivers it indoors. The indoor fan circulates indoor air. The controller is configured to: after determining the air conditioner's operating mode, acquire the number of people in the room, the indoor carbon dioxide concentration, and the indoor temperature and humidity; predict the number of people in the room, the indoor carbon dioxide concentration, and the indoor temperature and humidity for a preset future time period based on a seasonal autoregressive integral moving average model, obtaining predicted numbers of people, predicted indoor carbon dioxide concentration, and predicted indoor temperature and humidity; and control the frequency of the air conditioner's fresh air fan, indoor fan, and compressor according to at least one of the air conditioner's operating mode, predicted number of people, predicted indoor carbon dioxide concentration, and predicted indoor temperature and humidity.

[0039] In this system, the air conditioner operates in cooling mode during summer and heating mode during winter. SARIMA (Seasonal Autoregressive Integrated Moving Average) is an extension of ARIMA (Autoregressive Integrated Moving Average), specifically designed for time series forecasting with seasonality and trends. The projected time period is denoted as H, the predicted number of people as Np, the predicted indoor carbon dioxide concentration as Cp, the predicted indoor ambient temperature as Tp, and the operating mode as Mode. In this embodiment, after determining the air conditioner's operating mode (e.g., heating or cooling), real-time data on the number of people, indoor carbon dioxide concentration, and indoor ambient temperature and humidity are collected using human presence sensors, carbon dioxide sensors, and temperature and humidity sensors. This comprehensive assessment of the indoor environment provides data support for the adaptive control of the air conditioner. The human presence sensors can be infrared array thermopile or radar sensors.

[0040] After determining the number of people indoors, indoor carbon dioxide concentration, and indoor temperature and humidity data, a seasonal autoregressive integral moving average model SARIMA(p,d,q)(P,D,Q)s is constructed. Based on the seasonal autoregressive integral moving average model, the number of people indoors, indoor carbon dioxide concentration, and indoor temperature and humidity in a future preset time period H are predicted, thereby obtaining the predicted number of people, predicted indoor carbon dioxide concentration, and predicted indoor temperature and humidity.

[0041] In other words, in real-life scenarios, the number of people indoors, carbon dioxide concentration, and indoor ambient temperature all exhibit significant diurnal periodic variations. By establishing a SARIMA model based on the collected data, the number of people indoors, indoor carbon dioxide concentration, and indoor ambient temperature and humidity in the future time period H can be predicted. By matching the diurnal periodic variation pattern of the indoor environment, the indoor environmental status can be predicted and assessed in advance, avoiding air conditioner response lag, and thus providing a basis for the dynamic control of air conditioners.

[0042] When establishing a seasonal autoregressive integral moving average model, indoor occupancy, indoor carbon dioxide concentration, and indoor temperature and humidity data are uploaded via sensors. These data undergo stationarization periodic analysis to fit a SARIMA(p,d,q)(P,D,Q)s model, which then continuously predicts future indoor occupancy, indoor carbon dioxide concentration, and indoor temperature. For example, data is recorded and uploaded every 15 minutes, resulting in a seasonal period of 96 time-series sampling points. Since the indoor occupancy, indoor carbon dioxide concentration, and indoor temperature and humidity data are non-stationary, the non-seasonal difference d is set to 1, and the seasonal difference D is set to 1 for stationary sequences. The stationary sequence after differencing is then ordered, typically with p / q / P / Q ∈ {0,1,2}. The model is established as SARIMA(1,1,1)(1,1,1)96 to predict indoor occupancy, indoor carbon dioxide concentration, and indoor temperature and humidity over a future time period, such as H hours, yielding the predicted occupancy Np, predicted indoor carbon dioxide concentration Cp, and predicted indoor temperature and humidity.

[0043] Then, based on one or more of the following data: the air conditioner's operating mode (Mode), the predicted number of people (Np), the predicted indoor carbon dioxide concentration (Cp), and the predicted indoor temperature and humidity, the frequencies of the air conditioner's fresh air fan, indoor fan, and compressor are controlled.

[0044] Specifically, when controlling the frequency of the air conditioner's fresh air fan, indoor fan, and compressor, control can be based on one of the following data: the air conditioner's operating mode (Mode), the predicted number of people (Np), the predicted indoor carbon dioxide concentration (Cp), and the predicted indoor temperature and humidity. Alternatively, control can be based on any combination of multiple data points, including the air conditioner's operating mode (Mode), the predicted number of people (Np), the predicted indoor carbon dioxide concentration (Cp), and the predicted indoor temperature and humidity. This allows for precise matching of cooling and heating load demands and enables dynamic adaptive adjustment of the air conditioner's operating parameters, thereby improving user comfort.

[0045] In other words, by combining multiple parameters such as the air conditioner's operating mode (Mode), the predicted number of people (Np), the predicted indoor carbon dioxide concentration (Cp), and the predicted indoor temperature and humidity, the indoor environment is comprehensively judged, thereby controlling the frequency of the air conditioner's fresh air fan, indoor fan, and compressor. This avoids problems such as air pollution, drowsiness, and physical discomfort caused by single temperature control, improves control accuracy, and thus achieves intelligent adaptive control of the air conditioner.

[0046] According to an embodiment of the present invention, the air conditioner predicts the number of people indoors, indoor carbon dioxide concentration, and indoor temperature and humidity within a preset time period based on a seasonal autoregressive integral moving average model. It then comprehensively judges the indoor environmental state based on the predicted parameters. By predicting the number of people indoors, indoor carbon dioxide concentration, and indoor temperature and humidity within a future time period, it achieves multi-indicator fusion for indoor environmental state control, i.e., constructing a multi-source data fusion prediction mechanism to avoid misjudgments caused by a single indicator. This controls the frequency of the air conditioner's fresh air fan, indoor fan, and compressor, enabling dynamic adaptive adjustment of the air conditioner's operating strategy, improving control accuracy and response speed, and reducing air conditioner energy consumption while ensuring indoor occupant comfort, thus balancing user comfort and energy-saving effects.

[0047] The following is for reference. Figure 3 This invention describes a control method for an air conditioner according to an embodiment of the present invention. For example... Figure 3 As shown, the air conditioner control method of this embodiment includes at least steps S1-S3.

[0048] Step S1: After determining the operating mode of the air conditioner, obtain the number of people in the room, the indoor carbon dioxide concentration, and the indoor temperature and humidity.

[0049] In this embodiment, after determining the operating mode of the air conditioner, such as cooling or heating, the number of people in the room, the indoor carbon dioxide concentration, and the indoor temperature and humidity data are collected in real time through human sense sensors, carbon dioxide sensors, and temperature and humidity sensors.

[0050] Understandably, after determining the operating mode of the air conditioner, by acquiring the number of people indoors, the indoor carbon dioxide concentration, and the indoor temperature and humidity, the indoor environmental status can be comprehensively judged, thereby providing data support for the adaptive control of the air conditioner.

[0051] Step S2: Based on the seasonal autoregressive integral moving average model, predict the number of people indoors, indoor carbon dioxide concentration, and indoor temperature and humidity for a future preset time period to obtain the predicted number of people, predicted indoor carbon dioxide concentration, and predicted indoor temperature and humidity.

[0052] In this embodiment, after determining the number of people indoors, the indoor carbon dioxide concentration, and the indoor temperature and humidity data, a seasonal autoregressive integral moving average model SARIMA(p,d,q)(P,D,Q)s is constructed. Based on the seasonal autoregressive integral moving average model, the number of people indoors, the indoor carbon dioxide concentration, and the indoor temperature and humidity in a future preset time period H are predicted, thereby obtaining the predicted number of people, the predicted indoor carbon dioxide concentration, and the predicted indoor temperature and humidity.

[0053] In other words, in real-life scenarios, the number of people indoors, carbon dioxide concentration, and indoor ambient temperature all exhibit significant diurnal periodic variations. Based on the collected data, a SARIMA model is established to predict the number of people indoors, indoor carbon dioxide concentration, and indoor ambient temperature and humidity for a future time period H.

[0054] When establishing a seasonal autoregressive integral moving average model, indoor occupancy, indoor carbon dioxide concentration, and indoor temperature and humidity data are uploaded by sensors. The data are then subjected to a stationarization periodic analysis to fit the SARIMA(p,d,q)(P,D,Q)s model, which is used to predict future indoor occupancy, indoor carbon dioxide concentration, and indoor temperature.

[0055] The following is for reference. Figure 4 An example is given to illustrate the construction process of a seasonal autoregressive integral moving average model.

[0056] like Figure 4 As shown, the seasonal autoregressive integral moving average model construction process of this embodiment of the invention includes at least steps S100-S215.

[0057] Step S100: After determining the operating mode of the air conditioner, obtain the number of people in the room, the indoor carbon dioxide concentration, and the indoor temperature and humidity.

[0058] Step S210: Upload the data on the number of people indoors, indoor carbon dioxide concentration, and indoor temperature and humidity.

[0059] Step S211: Perform a stationarization periodic analysis on the indoor number of people, indoor carbon dioxide concentration, and indoor ambient temperature and humidity data to fit SARIMA(p,d,q)(P,D,Q)s.

[0060] Step S212: Determine the seasonal period s. For example, record data every 15 minutes and upload the data once. In this case, the seasonal period s is 96.

[0061] Step S213: Determine the difference order. For example, if the indoor number of people, indoor carbon dioxide concentration and indoor temperature and humidity data are determined to be non-stationary data, take the non-seasonal difference d as 1 and the seasonal difference D as 1 for stationary series.

[0062] Step S214: Determine the order of the stationary sequence after differencing. The order of the stationary sequence is usually taken as p / q / P / Q∈{0,1,2}.

[0063] Step S215: Establish a seasonal autoregressive integral moving average model, for example, SARIMA(1,1,1)(1,1,1)96.

[0064] By establishing the model SARIMA(1,1,1)(1,1,1)96, we can predict the number of people indoors, indoor carbon dioxide concentration, and indoor temperature and humidity in the future time period, such as H hours, and obtain the predicted number of people Np, the predicted indoor carbon dioxide concentration Cp, and the predicted indoor temperature and humidity.

[0065] Understandably, based on the seasonal autoregressive integral moving average model, the number of people indoors, indoor carbon dioxide concentration, and indoor temperature and humidity in a future preset time period are predicted. By matching the daily cycle variation pattern of the indoor environment, the predicted number of people, predicted indoor carbon dioxide concentration, and predicted indoor temperature and humidity can be obtained. This allows for the prediction and assessment of the indoor environmental status in advance, avoiding air conditioner response lag, and thus providing a basis for the dynamic control of air conditioners.

[0066] Step S3: Control the frequency of the air conditioner's fresh air fan, indoor fan, and compressor based on at least one of the following: the air conditioner's operating mode, the predicted number of people, the predicted indoor carbon dioxide concentration, and the predicted indoor temperature and humidity.

[0067] In this embodiment, the frequencies of the air conditioner's fresh air fan, indoor fan, and compressor are controlled based on one or more of the following data: the air conditioner's operating mode (Mode), the predicted number of people (Np), the predicted indoor carbon dioxide concentration (Cp), and the predicted indoor temperature and humidity.

[0068] Specifically, when controlling the frequency of the air conditioner's fresh air fan, indoor fan, and compressor, control can be based on one of the following data: the air conditioner's operating mode (Mode), the predicted number of people (Np), the predicted indoor carbon dioxide concentration (Cp), and the predicted indoor temperature and humidity. Alternatively, control can be based on any combination of multiple data from the air conditioner's operating mode (Mode), the predicted number of people (Np), the predicted indoor carbon dioxide concentration (Cp), and the predicted indoor temperature and humidity.

[0069] In other words, by combining multiple parameters such as the air conditioner's operating mode (Mode), the predicted number of people (Np), the predicted indoor carbon dioxide concentration (Cp), and the predicted indoor temperature and humidity, the indoor environment is comprehensively judged, thereby controlling the frequency of the air conditioner's fresh air fan, indoor fan, and compressor. This avoids problems such as air pollution, drowsiness, and physical discomfort caused by single temperature control, improves control accuracy, and thus achieves intelligent adaptive control of the air conditioner.

[0070] Understandably, by controlling the frequency of the air conditioner's fresh air fan, indoor fan, and compressor based on the air conditioner's operating mode, predicted number of users, predicted indoor carbon dioxide concentration, and predicted indoor temperature and humidity, the cooling and heating load requirements can be accurately matched, and the air conditioner's operating parameters can be dynamically and adaptively adjusted, thereby improving user comfort.

[0071] According to the air conditioner control method of the present invention, based on a seasonal autoregressive integral moving average model, the number of people indoors, indoor carbon dioxide concentration, and indoor temperature and humidity are predicted for a preset time period in the future. The indoor environmental state is comprehensively judged based on the predicted parameters. By predicting the number of people indoors, indoor carbon dioxide concentration, and indoor temperature and humidity in the future time period, the control of indoor environmental state is achieved by integrating multiple indicators, that is, constructing a prediction mechanism for multi-source data fusion, avoiding misjudgments caused by a single indicator, thereby controlling the frequency of the fresh air fan, indoor fan, and compressor of the air conditioner. This enables dynamic adaptive adjustment of the air conditioner's operating strategy, improves control accuracy and response speed, and reduces air conditioner energy consumption while ensuring the comfort of indoor occupants, thus balancing user comfort and energy saving.

[0072] In some embodiments, when controlling the frequencies of the air conditioner's fresh air fan, indoor fan, and compressor based on at least one of the air conditioner's operating mode, predicted number of users, predicted indoor carbon dioxide concentration, and predicted indoor temperature and humidity, the controller is configured to: when the predicted number of users is a first preset number, control the compressor to operate at a first frequency, turn off the indoor fan, or control the indoor fan to operate at a first speed and the fresh air fan to turn off; when the predicted number of users is greater than or equal to a second preset number and less than or equal to a third preset number, control the compressor to operate at a second frequency, control the indoor fan to operate at a second speed, and control the fresh air fan to operate at a first fresh air speed; when the predicted number of users is greater than or equal to a fourth preset number and less than or equal to a fifth preset number, control the compressor to operate at a third frequency, control the indoor fan to operate at a third speed, and control the fresh air fan... When the predicted number of people exceeds the fifth preset number, the compressor is controlled to operate at the fourth frequency, the indoor fan is controlled to operate at the fourth or fifth speed, or the indoor fan is controlled to operate between the fourth and fifth speeds and the fresh air fan is controlled at the third fresh air speed. Specifically, the first preset number of people is less than the second preset number, the second preset number is less than the third preset number, the third preset number is less than the fourth preset number, and the fourth preset number is less than the fifth preset number; the first frequency is less than the second frequency, the second frequency is less than the third frequency, and the third frequency is less than the fourth frequency; the first fresh air speed is less than the second fresh air speed, and the second fresh air speed is less than the third fresh air speed; the first speed is less than the second speed, the second speed is less than the third speed, the third speed is less than the fourth speed, and the fourth speed is less than the fifth speed.

[0073] In this embodiment, the frequencies of the air conditioner's fresh air fan, indoor fan, and compressor are controlled by determining whether the predicted number of people Np meets preset conditions. If the predicted number of people Np is a first preset number, for example, 0, the compressor is controlled to operate at a first frequency, the indoor fan is turned off or operates at a first speed, and the fresh air fan is turned off. If the predicted number of people Np is greater than or equal to a second preset number, for example, 1, and less than or equal to a third preset number, for example, 4, the compressor is controlled to operate at a second frequency, the indoor fan operates at a second speed, and the fresh air fan operates at a first fresh air speed. If the predicted number of people Np is greater than or equal to a fourth preset number, for example, 5, and less than or equal to a fifth preset number, for example, 15, the compressor is controlled to operate at a third frequency, the indoor fan operates at a third speed, and the fresh air fan operates at a second fresh air speed. If the predicted number of people Np is greater than a fifth preset number, for example, 15, the compressor is controlled to operate at a fourth frequency, the indoor fan operates at a fourth or fifth speed, or the indoor fan operates between a fourth and fifth speed, while the fresh air fan operates at a third fresh air speed.

[0074] Among them, the first preset number of people is less than the second preset number of people, the second preset number of people is less than the third preset number of people, the third preset number of people is less than the fourth preset number of people, and the fourth preset number of people is less than the fifth preset number of people; the first frequency is less than the second frequency, the second frequency is less than the third frequency, and the third frequency is less than the fourth frequency; the first fresh air setting is less than the second fresh air setting, the second fresh air setting is less than the third fresh air setting; the first setting is less than the second setting, the second setting is less than the third setting, the third setting is less than the fourth setting, and the fourth setting is less than the fifth setting.

[0075] The following example, using Table 1, illustrates how the frequencies of the air conditioner's fresh air fan, indoor fan, and compressor are controlled based on the predicted number of people Np.

[0076] Table 1: Parameter Matching Table Based on Predicted Number of People

[0077] For example, as shown in Table 1, the air conditioner's set temperature is denoted as Tset, the fresh air fan speed setting is denoted as Vf, and the fresh air fan speed setting is denoted as Vxf. When Np=0, the room is unoccupied, and the compressor is controlled to run at the first frequency to bring the indoor temperature to the air conditioner's set temperature Tset. In summer, the air conditioner's set temperature Tset is 28℃, and in winter, the air conditioner's set temperature Tset is 18℃. At this time, the indoor fan speed setting Vf is at level 1 or off, and the fresh air fan is off.

[0078] When 1≤Np≤4, there are a few people in the room. The compressor is controlled to run at the second frequency to make the indoor temperature reach the air conditioner's set temperature Tset. In summer, the air conditioner's set temperature Tset is 26-27℃, and in winter, the air conditioner's set temperature Tset is 21-22℃. At this time, the indoor fan speed setting Vf is 2, and the fresh air fan speed setting Vxf is 1.

[0079] When 5≤Np≤15, the number of people indoors is moderate. The compressor is controlled to run at the third frequency to make the indoor temperature reach the air conditioner's set temperature Tset. In summer, the air conditioner's set temperature Tset is 25-26℃, and in winter, the air conditioner's set temperature Tset is 22-23℃. At this time, the indoor fan speed setting Vf is 3, and the fresh air fan speed setting Vxf is 2.

[0080] When Np>15, the indoor population is dense, and the compressor is controlled to run at the fourth frequency to make the indoor temperature reach the air conditioner's set temperature Tset. In summer, the air conditioner's set temperature Tset is 24-25℃, and in winter, the air conditioner's set temperature Tset is 23-24℃. At this time, the indoor fan speed setting Vf is 4-5, and the fresh air fan speed setting Vxf is 3.

[0081] Understandably, by judging whether the predicted number of people meets the preset conditions, the frequency of the air conditioner's fresh air fan, indoor fan, and compressor can be adjusted to make them operate according to the preset actions. This can achieve a precise match between the actual needs of the people in the room, thereby improving user comfort and reducing the energy consumption of the air conditioner.

[0082] The following is for reference. Figure 5 This invention describes an air conditioner control process based on predicted occupancy rates according to an embodiment of the present invention.

[0083] like Figure 5 The diagram shows a flowchart of an air conditioner control process based on predicted occupancy, according to an embodiment of the present invention. Figure 5 It is understood that the air conditioner control process based on predicted number of people in the embodiments of the present invention includes at least steps S300-S318.

[0084] Step S300: Based on at least one of the following: the operating mode of the air conditioner, the predicted number of people Np, the predicted indoor carbon dioxide concentration Cp, and the predicted indoor ambient temperature and humidity, control the frequency of the air conditioner's fresh air fan, indoor fan, and compressor.

[0085] Step S310: Determine whether the predicted number of people Np meets the preset conditions.

[0086] Step S311: When the predicted number of people Np is the first preset number of people, for example, 0, control the compressor to run at the first frequency, the indoor fan to be turned off, or the indoor fan to run at the first speed and the fresh air fan to be turned off.

[0087] Step S312: Set the indoor ambient temperature to the air conditioner's set temperature Tset, for example, 28°C in summer and 18°C ​​in winter.

[0088] Step S313: When the predicted number of people Np is greater than or equal to the second preset number of people, for example 1, and less than or equal to the third preset number of people, for example 4, control the compressor to run at the second frequency, the indoor fan to run at the second speed, and the fresh air fan to run at the first fresh air speed.

[0089] Step S314: Set the indoor ambient temperature to the air conditioner's set temperature Tset. For example, in summer, the set temperature Tset is 26-27℃, and in winter, the set temperature Tset is 21-22℃.

[0090] Step S315: When the predicted number of people Np is greater than or equal to the fourth preset number of people, for example 5, and less than or equal to the fifth preset number of people, for example 15, control the compressor to run at the third frequency, the indoor fan to run at the third speed, and the fresh air fan to run at the second fresh air speed.

[0091] Step S316: Set the indoor ambient temperature to the air conditioner's set temperature Tset, for example, 25-26℃ in summer and 22-23℃ in winter.

[0092] Step S317: When the predicted number of people Np is greater than the fifth preset number of people, for example, 15, control the compressor to run at the fourth frequency, the indoor fan to run at the fourth or fifth speed, or the indoor fan to run between the fourth and fifth speeds and the fresh air fan to run at the third fresh air speed.

[0093] Step S318: Set the indoor ambient temperature to the air conditioner's set temperature Tset, for example, 24-25℃ in summer and 23-24℃ in winter.

[0094] In some embodiments, when controlling the frequency of the air conditioner's fresh air fan, indoor fan, and compressor based on at least one of the air conditioner's operating mode, predicted number of users, predicted indoor carbon dioxide concentration, and predicted indoor ambient temperature and humidity, the controller is configured to: predict that the indoor carbon dioxide concentration is less than or equal to a first preset concentration, and control the fresh air fan and indoor fan to operate at their current settings; predict that the indoor carbon dioxide concentration is greater than the first preset concentration and less than or equal to a second preset concentration, and control the fresh air fan to increase its setting by the first preset level and the indoor fan to operate at its current level; predict that the indoor carbon dioxide concentration is greater than the second preset concentration and less than or equal to a third preset concentration, and control the fresh air fan to increase its setting by the second preset level and the indoor fan to increase its setting by the first preset level; predict that the indoor carbon dioxide concentration is greater than the third preset concentration, and control the fresh air fan to operate at its highest fresh air level and the indoor fan to increase its setting by the second preset level, wherein the first preset concentration is less than the second preset concentration, the second preset concentration is less than the third preset concentration, and the first preset level is less than the second preset level.

[0095] In this embodiment, the fresh air fan and indoor fan of the air conditioner are controlled by determining whether the predicted indoor carbon dioxide concentration Cp meets preset conditions. If the predicted indoor carbon dioxide concentration Cp is less than or equal to a first preset concentration, for example, 600, the fresh air fan and indoor fan are controlled to operate at their current settings. If the predicted indoor carbon dioxide concentration Cp is greater than the first preset concentration, for example, 600, and less than or equal to a second preset concentration, for example, 1000, the fresh air fan is controlled to increase the first preset setting, for example, by 1 level, based on the current fresh air setting, and the indoor fan operates at its current setting. If the predicted indoor carbon dioxide concentration is greater than the second preset concentration, for example, 1000, and less than or equal to a third preset concentration, for example, 1500, the fresh air fan is controlled to increase the second preset setting, for example, by 2 levels, based on the current fresh air setting, and the indoor fan operates at the first preset setting, for example, by 1 level, based on the current setting. If the predicted indoor carbon dioxide concentration is greater than the third preset concentration, for example, 1500, the fresh air fan is controlled to operate at the highest fresh air setting, for example, level 3, and the indoor fan operates at the second preset setting, for example, by 2 levels, based on the current setting.

[0096] Among them, the first preset concentration is less than the second preset concentration, the second preset concentration is less than the third preset concentration, and the first preset gear is less than the second preset gear.

[0097] The following example, using Table 2, illustrates how to control the fresh air fan and indoor fan of an air conditioner based on the predicted indoor carbon dioxide concentration Cp.

[0098] Table 2: Parameter Matching Table Based on Predicted Indoor Carbon Dioxide Concentration

[0099] For example, as shown in Table 2, when Cp≤600, the air grade is excellent and good, the fresh air fan wind speed gear Vxf maintains the original gear, and the indoor fan wind speed gear Vf remains at the current gear, that is, both the fresh air fan wind speed gear Vxf and the fresh air fan wind speed gear Vxf operate normally according to the current gear.

[0100] When 600<Cp≤1000, the predicted indoor carbon dioxide concentration Cp in the air is normal, the fresh air fan wind speed gear Vxf is increased by 1 gear on the basis of the original gear, and the indoor fan wind speed gear Vf remains at the current gear to perform slight air exchange.

[0101] When 1000<Cp≤1500, the predicted indoor carbon dioxide concentration Cp in the air is on the high side, the fresh air fan wind speed gear Vxf is increased by 2 gears on the basis of the original gear, and the indoor fan wind speed gear Vf is increased by 1 gear on the basis of the current gear to enhance indoor air circulation.

[0102] When Cp>1500, the predicted indoor carbon dioxide concentration Cp in the air exceeds the standard, the fresh air fan wind speed gear Vxf is adjusted to the highest gear, that is, gear 3, and the indoor fan wind speed gear Vf is increased by 2 gears on the basis of the current gear to perform forced air exchange and increase the air volume at the same time.

[0103] It can be understood that by judging whether the predicted indoor carbon dioxide concentration meets the preset condition to control the fresh air fan and the indoor fan of the air conditioner, the indoor air quality can be guaranteed, and the problems of hypoxia and drowsiness and reduced physical comfort caused by excessively high carbon dioxide concentration in a closed space can be avoided, thereby improving the ventilation effect of the closed environment.

[0104] In the following, reference is made to Figure 6 describing the air conditioner control process based on predicted indoor carbon dioxide concentration according to an embodiment of the present invention.

[0105] As shown in Figure 6 is a flowchart of an air conditioner control process based on predicted indoor carbon dioxide concentration according to an embodiment of the present invention. It can be seen from Figure 6 that the air conditioner control process based on predicted indoor carbon dioxide concentration according to the embodiment of the present invention at least includes step S300 to step S328.

[0106] Step S300: controlling the frequencies of the fresh air fan, the indoor fan and the compressor of the air conditioner according to at least one of the operation mode of the air conditioner, the predicted number of people Np, the predicted indoor carbon dioxide concentration Cp, and the predicted indoor ambient temperature and humidity.

[0107] Step S320: judging whether the predicted indoor carbon dioxide concentration Cp meets a preset condition.

[0108] Step S322: When the predicted indoor carbon dioxide concentration Cp is less than or equal to a first preset concentration, for example, 600, the air quality is good.

[0109] Step S322: Control the fresh air fan to run at the current speed and the indoor fan to run at the current speed.

[0110] Step S323: When the predicted indoor carbon dioxide concentration Cp is greater than the first preset concentration, for example, 600 and less than or equal to the second preset concentration, for example, 1000, the air quality level is excellent.

[0111] Step S324: Control the fresh air fan to increase the first preset level based on the current fresh air level and the indoor fan to operate at the current level.

[0112] Step S325: When the predicted indoor carbon dioxide concentration Cp is greater than the second preset concentration, for example, 1000 and less than or equal to the third preset concentration, for example, 1500, the carbon dioxide concentration is too high.

[0113] Step S326: Control the fresh air fan to increase the second preset level based on the current fresh air level and control the indoor fan to increase the first preset level based on the current level.

[0114] Step S327: When the predicted indoor carbon dioxide concentration Cp is greater than the third preset concentration, for example, 1500, the carbon dioxide concentration exceeds the standard.

[0115] Step S328: Control the fresh air fan to run at the highest fresh air setting and the indoor fan to run at a second preset setting based on the current setting.

[0116] In some embodiments, when controlling the frequencies of the air conditioner's fresh air fan, indoor fan, and compressor based on at least one of the air conditioner's operating mode, predicted number of users, predicted indoor carbon dioxide concentration, and predicted indoor ambient temperature and humidity, the controller is configured to: control the compressor to operate at a fifth frequency when the air conditioner is in cooling mode and the predicted temperature is less than a first preset temperature; control the compressor to operate at a sixth frequency when the air conditioner is in cooling mode and the predicted temperature is greater than or equal to the first preset temperature and less than or equal to a second preset temperature; and control the compressor to operate at a seventh frequency when the air conditioner is in cooling mode and the predicted temperature is greater than the second preset temperature, wherein the fifth frequency is less than the sixth frequency and the sixth frequency is less than the seventh frequency.

[0117] The predicted temperature is the predicted indoor ambient temperature Tp.

[0118] In this embodiment, when the air conditioner is operating in cooling mode, the compressor is controlled to operate at a preset frequency by determining whether the predicted temperature Tp meets preset conditions. If the predicted temperature Tp is less than a first preset temperature, for example, 24°C, the compressor is controlled to operate at a fifth frequency; if the predicted temperature Tp is greater than or equal to the first preset temperature, for example, 24°C, and less than or equal to a second preset temperature, for example, 27°C, the compressor is controlled to operate at a sixth frequency; if the predicted temperature Tp is greater than the second preset temperature, for example, 27°C, the compressor is controlled to operate at a seventh frequency. Wherein, the first preset temperature is less than the second preset temperature; the fifth frequency is less than the sixth frequency; and the sixth frequency is less than the seventh frequency.

[0119] It should be noted that controlling the compressor to run at a preset frequency is to ensure that the indoor temperature reaches the air conditioner's set temperature Tset. In summer, if the predicted indoor temperature Tp is greater than 27°C, the air conditioner will automatically switch to cooling mode and turn on fan when there are few people around and the temperature is comfortable throughout the day.

[0120] The following example, using Table 3, illustrates how the frequency of the air conditioner compressor is controlled based on the predicted temperature Tp during air conditioner cooling operation.

[0121] Table 3: Parameter Matching Table Based on Predicted Temperature During Air Conditioner Cooling Operation

[0122] For example, as shown in Table 3, when Tp < 24℃, the compressor is controlled to operate at the fifth frequency, and the air conditioner set temperature Tset is 26-27℃; when 24 ≤ Tp ≤ 27℃, the compressor is controlled to operate at the sixth frequency, and the air conditioner set temperature Tset is the synchronous range of the predicted temperature Tp, i.e., 24-27℃; when Tp > 27℃, the compressor is controlled to operate at the seventh frequency, and the air conditioner set temperature Tset is the second preset temperature lowered by 1-2℃, i.e., 25-26℃.

[0123] Understandably, when an air conditioner is running in cooling mode, by judging whether the predicted temperature meets the preset conditions and controlling the frequency of the compressor, the indoor cooling load can be accurately matched, the indoor temperature can be kept stable, and the power consumption of the air conditioner can be reduced.

[0124] In some embodiments, when controlling the frequencies of the air conditioner's fresh air fan, indoor fan, and compressor based on at least one of the air conditioner's operating mode, predicted number of users, predicted indoor carbon dioxide concentration, and predicted indoor ambient temperature and humidity, the controller is configured to: control the compressor to operate at an eighth frequency when the air conditioner is in heating mode and the predicted temperature is less than a third preset temperature; control the compressor to operate at a ninth frequency when the air conditioner is in heating mode and the predicted temperature is greater than or equal to the third preset temperature and less than the first preset temperature; and control the compressor to operate at a tenth frequency when the air conditioner is in heating mode and the predicted temperature is greater than the first preset temperature, wherein the eighth frequency is greater than the ninth frequency, the ninth frequency is greater than the tenth frequency, and the third preset temperature is less than the first preset temperature.

[0125] In this embodiment, when the air conditioner is operating in heating mode, the compressor is controlled to run at a preset frequency by determining whether the predicted temperature Tp meets preset conditions. If the predicted temperature Tp is less than a third preset temperature, for example, 20°C, the compressor is controlled to run at an eighth frequency; if the predicted temperature Tp is greater than or equal to the third preset temperature, for example, 20°C, and less than or equal to the first preset temperature, for example, 24°C, the compressor is controlled to run at a ninth frequency; if the predicted temperature Tp is greater than the first preset temperature, for example, 24°C, the compressor is controlled to run at a tenth frequency. Wherein, the third preset temperature is less than the first preset temperature; the eighth frequency is greater than the ninth frequency; and the ninth frequency is greater than the tenth frequency.

[0126] It should be noted that in winter, if the predicted indoor temperature Tp is less than 20℃, the air conditioner will automatically switch to heating mode.

[0127] The following example, using Table 4, illustrates how the frequency of the air conditioner compressor is controlled based on the predicted temperature Tp during the air conditioner's heating operation.

[0128] Table 4: Parameter Matching Table Based on Predicted Temperature Tp During Air Conditioner Heating Operation

[0129] For example, as shown in Table 4, when Tp < 20℃, the compressor is controlled to operate at the eighth frequency, and the air conditioner set temperature Tset is the third preset temperature increased by 1-2℃, i.e., 21-22℃; when 20 ≤ Tp ≤ 24℃, the compressor is controlled to operate at the ninth frequency, and the air conditioner set temperature Tset is the predicted temperature Tp synchronous range, i.e., 20-24℃; when Tp > 24℃, the compressor is controlled to operate at the tenth frequency, and the air conditioner set temperature Tset is 22℃.

[0130] Understandably, when an air conditioner is in heating mode, by judging whether the predicted temperature meets the preset conditions, the compressor frequency is controlled to dynamically match the indoor heating demand, keep the indoor temperature stable, and improve user comfort.

[0131] In some embodiments, when the number of people indoors, indoor carbon dioxide concentration, and indoor temperature and humidity are predicted for a future preset time period based on a seasonal autoregressive integral moving average model, and the predicted number of people, predicted indoor carbon dioxide concentration, and predicted indoor temperature and humidity are obtained, the controller is configured to: input the number of people indoors, indoor carbon dioxide concentration, and indoor temperature and humidity into the seasonal autoregressive integral moving average model, and output the predicted number of people, predicted indoor carbon dioxide concentration, and predicted indoor temperature and humidity for a future preset time period.

[0132] In this embodiment, after establishing a seasonal autoregressive integral moving average model, the number of people indoors, indoor carbon dioxide concentration, and indoor temperature and humidity are input into the model, which can output the predicted number of people Np, the predicted indoor carbon dioxide concentration Cp, and the predicted indoor temperature and humidity within a preset time period H in the future.

[0133] Understandably, by inputting the number of people indoors, indoor carbon dioxide concentration, and indoor temperature and humidity into a seasonal autoregressive integral moving average model, and outputting the predicted number of people, predicted indoor carbon dioxide concentration, and predicted indoor temperature and humidity within a preset future time period, the periodic change patterns of indoor scenarios can be accurately captured, thereby improving prediction accuracy and providing a basis for the dynamic control of air conditioners.

[0134] In some embodiments, when controlling the frequency of the air conditioner's fresh air fan, indoor fan, and compressor based on at least one of the air conditioner's operating mode, predicted number of users, predicted indoor carbon dioxide concentration, and predicted indoor ambient temperature and humidity, the controller is configured to: when the predicted number of users is greater than a fifth preset number, the air conditioner is operating in cooling mode, and the predicted temperature is less than a first preset temperature, control the air conditioner's compressor to run based on the predicted number of users, and then control the compressor to run again based on the predicted temperature; when the predicted number of users is greater than a fifth preset number, the air conditioner is operating in cooling mode, and the predicted temperature is greater than or equal to the first preset temperature and less than or equal to the second preset temperature, control the air conditioner's compressor to run based on the predicted number of users, and then control the compressor to run again based on the predicted temperature; when the predicted number of users is greater than a fifth preset number, the air conditioner is operating in cooling mode, and the predicted temperature is greater than the second preset temperature, control the air conditioner's compressor to run based on the predicted number of users, and then control the compressor to run again based on the predicted temperature, where the first preset temperature is less than the second preset temperature.

[0135] In this embodiment, when the air conditioner is running in cooling mode, by determining whether the predicted number of people Np and the predicted temperature Tp meet preset conditions, and based on preset priorities, the compressor of the air conditioner is first controlled to run according to the predicted number of people Np, and then the compressor is controlled to run according to the predicted temperature Tp.

[0136] Specifically, when the air conditioner is operating in cooling mode, if the predicted number of users Np is greater than the fifth preset number of users, for example, 15, and the predicted temperature Tp is less than the first preset temperature, for example, 24℃, the air conditioner's compressor is controlled to run based on the predicted number of users Np, and then the compressor is controlled to run again based on the predicted temperature Tp. If the predicted number of users Np is greater than the fifth preset number of users, for example, 15, and the predicted temperature Tp is greater than or equal to the first preset temperature, for example, 24℃, and less than or equal to the second preset temperature, for example, 27℃, the air conditioner's compressor is controlled to run based on the predicted number of users Np, and then the compressor is controlled to run again based on the predicted temperature Tp. If the predicted number of users Np is greater than the fifth preset number of users, for example, 15, and the predicted temperature Tp is greater than the second preset temperature, for example, 27℃, the air conditioner's compressor is controlled to run based on the predicted number of users Np, and then the compressor is controlled to run again based on the predicted temperature Tp. Here, the first preset temperature is less than the second preset temperature.

[0137] It is understandable that when the air conditioner is running in cooling mode, by judging whether the predicted number of people and the predicted temperature meet the preset conditions, the compressor of the air conditioner can be controlled to run in sequence according to the priority of the predicted number of people and the predicted temperature, so as to achieve cooling conditions under multiple constraints and improve the control accuracy of the air conditioner.

[0138] In some embodiments, when controlling the frequency of the air conditioner's fresh air fan, indoor fan, and compressor based on at least one of the air conditioner's operating mode, predicted number of users, predicted indoor carbon dioxide concentration, and predicted indoor ambient temperature and humidity, the controller is configured to: when the predicted number of users is greater than a fifth preset number of users, the air conditioner is operating in heating mode, and the predicted temperature is less than a third preset temperature, control the air conditioner's compressor to operate based on the predicted number of users, and then control the compressor to operate again based on the predicted temperature; when the predicted number of users is greater than a fifth preset number of users, the air conditioner is operating in heating mode, and the predicted temperature is greater than or equal to a third preset temperature and less than or equal to a first preset temperature, control the air conditioner's compressor to operate based on the predicted number of users, and then control the compressor to operate again based on the predicted temperature; when the predicted number of users is greater than a fifth preset number of users, the air conditioner is operating in heating mode, and the predicted temperature is greater than a first preset temperature, control the air conditioner's compressor to operate based on the predicted number of users, and then control the compressor to operate again based on the predicted temperature, wherein the third preset temperature is less than the first preset temperature.

[0139] In this embodiment, when the air conditioner is in heating mode, it determines whether the predicted number of people Np and the predicted temperature Tp meet preset conditions. Based on preset priorities, it first controls the air conditioner's compressor to run according to the predicted number of people Np, and then controls the compressor to run according to the predicted temperature Tp.

[0140] Specifically, when the air conditioner is operating in heating mode, if the predicted number of users Np is greater than the fifth preset number of users (e.g., 15) and the predicted temperature Tp is less than the third preset temperature (e.g., 20℃), the compressor is controlled to run based on the predicted number of users Np, and then the compressor is controlled to run again based on the predicted temperature Tp. If the predicted number of users Np is greater than the fifth preset number of users (e.g., 15) and the predicted temperature Tp is greater than or equal to the third preset temperature (e.g., 20℃) and less than or equal to the first preset temperature (e.g., 24℃), the compressor is controlled to run based on the predicted number of users Np, and then the compressor is controlled to run again based on the predicted temperature Tp. If the predicted number of users Np is greater than the fifth preset number of users (e.g., 15) and the predicted temperature Tp is greater than the first preset temperature (e.g., 24℃), the compressor is controlled to run based on the predicted number of users Np, and then the compressor is controlled to run again based on the predicted temperature Tp. The third preset temperature is less than the first preset temperature.

[0141] For example, using the predicted number of people (Np), predicted indoor carbon dioxide concentration (Cp), and predicted indoor ambient temperature (Tp) as core inputs, and combining the intraday time period attributes, a multi-level priority fusion decision logic is used to match the air conditioner's operating parameters. The first priority is the predicted number of people (Np). When the predicted number of people is 0, the air conditioner enters a standby low-power mode, and the compressor and fresh air fan are turned off. The second priority is the predicted indoor carbon dioxide concentration (Cp). When the predicted indoor carbon dioxide concentration (Cp) exceeds a preset safety threshold, the fresh air fan speed and indoor fan circulation speed are prioritized to improve indoor air quality. The third priority is the predicted number of people (Np) and predicted indoor ambient temperature (Tp). The number of people is divided into low, medium, and high load levels. The predicted number of people (Np) load is judged, and the air conditioner's set temperature, indoor fan speed, and fresh air fan speed are dynamically matched, i.e., the frequency of the air conditioner's fresh air fan, indoor fan, and compressor is controlled.

[0142] Understandably, when an air conditioner is in heating mode, by judging whether the predicted number of people and the predicted temperature meet the preset conditions, the compressor of the air conditioner is controlled to operate in sequence according to the priority of the predicted number of people and the predicted temperature. This can meet the heating demand under high load conditions and improve the control accuracy of the air conditioner.

[0143] In some embodiments, after controlling the frequency of the air conditioner's fresh air fan, indoor fan, and compressor based on at least one of the air conditioner's operating mode, predicted number of people, predicted indoor carbon dioxide concentration, and predicted indoor ambient temperature and humidity, the controller is further configured to control the air conditioner to switch to dehumidification operation mode when the indoor humidity is greater than a preset humidity threshold.

[0144] In this embodiment, after controlling the frequency of the air conditioner's fresh air fan, indoor fan, and compressor based on at least one of the air conditioner's operating mode, predicted number of people, predicted indoor carbon dioxide concentration, and predicted indoor ambient temperature and humidity, it is also necessary to determine whether the indoor humidity meets the preset conditions. If the indoor humidity is greater than the preset humidity threshold, the air conditioner is controlled to switch to dehumidification operation mode.

[0145] During the rainy season or in high-humidity environments, if the indoor carbon dioxide concentration is normal and the temperature is suitable, the air conditioner will automatically switch to dehumidification mode.

[0146] Understandably, by determining whether the indoor humidity meets the preset conditions, the air conditioner can be switched to dehumidification mode, which can complete dehumidification while maintaining a stable indoor temperature, thus improving the user experience.

[0147] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "illustrative embodiment," "example," "specific example," or "some examples," etc., refer to specific features, structures, materials, or characteristics described in connection with that embodiment or example, which are included in at least one embodiment or example of the present invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example.

[0148] Although embodiments of the invention have been shown and described, those skilled in the art will understand that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the claims and their equivalents.

Claims

1. An air conditioner, characterized in that, include: The refrigerant circulation loop allows the refrigerant to circulate in a loop consisting of a compressor, a four-way valve, a condenser, a throttling component, and an evaporator. One of the condensers and the other of the evaporator is an outdoor heat exchanger and the other is an indoor heat exchanger. Human presence sensors are used to detect the number of people indoors; Carbon dioxide sensor, used to detect indoor carbon dioxide concentration; Temperature and humidity sensor, used to detect indoor temperature and humidity; A fresh air fan draws fresh outdoor air into the air conditioner unit and delivers fresh air into the room. Indoor fans circulate indoor air; The controller is configured to: after determining the operating mode of the air conditioner, acquire the number of people in the room, the indoor carbon dioxide concentration, and the indoor ambient temperature and humidity; Based on the seasonal autoregressive integral moving average model, the number of people indoors, the indoor carbon dioxide concentration, and the indoor temperature and humidity are predicted for a future preset time period, resulting in the predicted number of people, the predicted indoor carbon dioxide concentration, and the predicted indoor temperature and humidity. The frequencies of the air conditioner's fresh air fan, indoor fan, and compressor are controlled according to at least one of the air conditioner's operating mode, the predicted number of people, the predicted indoor carbon dioxide concentration, and the predicted indoor ambient temperature and humidity.

2. The air conditioner according to claim 1, characterized in that, When the controller controls the frequencies of the air conditioner's fresh air fan, indoor fan, and compressor based on at least one of the air conditioner's operating mode, the predicted number of people, the predicted indoor carbon dioxide concentration, and the predicted indoor temperature and humidity, the controller is configured to: When the predicted number of people is the first preset number of people, the compressor is controlled to run at the first frequency, the indoor fan is turned off, or the indoor fan is run at the first gear and the fresh air fan is turned off. When the predicted number of people is greater than or equal to the second preset number of people and less than or equal to the third preset number of people, the compressor is controlled to run at the second frequency, the indoor fan is set to the second speed, and the fresh air fan is set to the first fresh air speed. When the predicted number of people is greater than or equal to the fourth preset number of people and less than or equal to the fifth preset number of people, the compressor is controlled to run at the third frequency, the indoor fan is set to the third speed, and the fresh air fan is set to the second fresh air speed. When the predicted number of people is greater than the fifth preset number of people, the compressor is controlled to operate at the fourth frequency, the indoor fan is controlled to operate at the fourth or fifth speed, or the indoor fan operates between the fourth and fifth speeds and the fresh air fan operates at the third fresh air speed, wherein the first preset number of people is less than the second preset number of people, the second preset number of people is less than the third preset number of people, the third preset number of people is less than the fourth preset number of people, and the fourth preset number of people is less than the fifth preset number of people; the first frequency is less than the second frequency, the second frequency is less than the third frequency, and the third frequency is less than the fourth frequency; the first fresh air speed is less than the second fresh air speed, the second fresh air speed is less than the third fresh air speed; the first speed is less than the second speed, the second speed is less than the third speed, the third speed is less than the fourth speed, and the fourth speed is less than the fifth speed.

3. The air conditioner according to claim 1, characterized in that, When the controller controls the frequencies of the air conditioner's fresh air fan, indoor fan, and compressor based on at least one of the air conditioner's operating mode, the predicted number of people, the predicted indoor carbon dioxide concentration, and the predicted indoor temperature and humidity, the controller is configured to: If the predicted indoor carbon dioxide concentration is less than or equal to a first preset concentration, the fresh air fan and the indoor fan are controlled to operate at the current speed. If the predicted indoor carbon dioxide concentration is greater than the first preset concentration and less than or equal to the second preset concentration, the fresh air fan is controlled to increase the first preset level based on the current fresh air level, and the indoor fan is controlled to operate at the current level. If the predicted indoor carbon dioxide concentration is greater than the second preset concentration and less than or equal to the third preset concentration, the fresh air fan is controlled to increase the second preset level based on the current fresh air level, and the indoor fan is controlled to increase the first preset level based on the current level. If the predicted indoor carbon dioxide concentration is greater than the third preset concentration, the fresh air fan is controlled to operate at the highest fresh air setting and the indoor fan is controlled to operate at a second preset setting higher than the current setting. The first preset concentration is less than the second preset concentration, the second preset concentration is less than the third preset concentration, and the first preset setting is less than the second preset setting.

4. The air conditioner according to claim 1, characterized in that, When the controller controls the frequencies of the air conditioner's fresh air fan, indoor fan, and compressor based on at least one of the air conditioner's operating mode, the predicted number of people, the predicted indoor carbon dioxide concentration, and the predicted indoor temperature and humidity, the controller is configured to: When the air conditioner is in cooling mode and the predicted temperature is lower than the first preset temperature, the compressor is controlled to operate at the fifth frequency. When the air conditioner is in cooling mode and the predicted temperature is greater than or equal to the first preset temperature and less than or equal to the second preset temperature, the compressor is controlled to operate at the sixth frequency. When the air conditioner is in cooling mode and the predicted temperature is greater than the second preset temperature, the compressor is controlled to operate at a seventh frequency, where the fifth frequency is less than the sixth frequency and the sixth frequency is less than the seventh frequency.

5. The air conditioner according to claim 1, characterized in that, When the controller controls the frequencies of the air conditioner's fresh air fan, indoor fan, and compressor based on at least one of the air conditioner's operating mode, the predicted number of people, the predicted indoor carbon dioxide concentration, and the predicted indoor temperature and humidity, the controller is configured to: When the air conditioner is in heating mode and the predicted temperature is less than the third preset temperature, the compressor is controlled to operate at the eighth frequency. When the air conditioner is in heating mode and the predicted temperature is greater than or equal to the third preset temperature and less than the first preset temperature, the compressor is controlled to operate at the ninth frequency. When the air conditioner is in heating mode and the predicted temperature is greater than the first preset temperature, the compressor is controlled to operate at the tenth frequency, where the eighth frequency is greater than the ninth frequency, the ninth frequency is greater than the tenth frequency, and the third preset temperature is less than the first preset temperature.

6. The air conditioner according to claim 1, characterized in that, When the controller predicts the number of people indoors, the indoor carbon dioxide concentration, and the indoor temperature and humidity for a preset future time period based on the seasonal autoregressive integral moving average model, and obtains the predicted number of people, predicted indoor carbon dioxide concentration, and predicted indoor temperature and humidity, the controller is configured as follows: The number of people indoors, the indoor carbon dioxide concentration, and the indoor temperature and humidity are input into the seasonal autoregressive integral moving average model, which outputs the predicted number of people, the predicted indoor carbon dioxide concentration, and the predicted indoor temperature and humidity for a future preset time period.

7. The air conditioner according to claim 1, characterized in that, When the controller controls the frequencies of the air conditioner's fresh air fan, indoor fan, and compressor based on at least one of the air conditioner's operating mode, the predicted number of people, the predicted indoor carbon dioxide concentration, and the predicted indoor temperature and humidity, the controller is configured to: When the predicted number of people is greater than the fifth preset number of people, the air conditioner is in cooling mode, and the predicted temperature is less than the first preset temperature, the compressor of the air conditioner is controlled to run according to the predicted number of people, and then the compressor is controlled to run again according to the predicted temperature. When the predicted number of people is greater than the fifth preset number of people, the air conditioner is in cooling mode, and the predicted temperature is greater than or equal to the first preset temperature and less than or equal to the second preset temperature, the compressor of the air conditioner is controlled to run according to the predicted number of people, and then the compressor is controlled to run again according to the predicted temperature. When the predicted number of people is greater than the fifth preset number of people, the air conditioner is in cooling mode, and the predicted temperature is greater than the second preset temperature, the compressor of the air conditioner is controlled to run according to the predicted number of people, and then the compressor is controlled to run again according to the predicted temperature, wherein the first preset temperature is less than the second preset temperature.

8. The air conditioner according to claim 1, characterized in that, When the controller controls the frequencies of the air conditioner's fresh air fan, indoor fan, and compressor based on at least one of the air conditioner's operating mode, the predicted number of people, the predicted indoor carbon dioxide concentration, and the predicted indoor temperature and humidity, the controller is configured to: When the predicted number of people is greater than the fifth preset number of people, the air conditioner is in heating mode, and the predicted temperature is less than the third preset temperature, the compressor of the air conditioner is controlled to run according to the predicted number of people, and then the compressor is controlled to run again according to the predicted temperature. When the predicted number of people is greater than the fifth preset number of people, the air conditioner is in heating mode, and the predicted temperature is greater than or equal to the third preset temperature and less than or equal to the first preset temperature, the compressor of the air conditioner is controlled to run according to the predicted number of people, and then the compressor is controlled to run again according to the predicted temperature. When the predicted number of people is greater than the fifth preset number of people, the air conditioner is in heating mode, and the predicted temperature is greater than the first preset temperature, the compressor of the air conditioner is controlled to run according to the predicted number of people, and then the compressor is controlled to run again according to the predicted temperature, wherein the third preset temperature is less than the first preset temperature.

9. The air conditioner according to claim 1, characterized in that, After controlling the frequencies of the air conditioner's fresh air fan, indoor fan, and compressor based on at least one of the air conditioner's operating mode, the predicted number of people, the predicted indoor carbon dioxide concentration, and the predicted indoor temperature and humidity, the controller is further configured to: When the indoor humidity exceeds a preset humidity threshold, the air conditioner is switched to dehumidification mode.

10. A control method for an air conditioner, characterized in that, include: After determining the operating mode of the air conditioner, the number of people indoors, indoor carbon dioxide concentration, and indoor ambient temperature and humidity are obtained. Based on the seasonal autoregressive integral moving average model, the number of people indoors, the indoor carbon dioxide concentration, and the indoor temperature and humidity are predicted for a future preset time period, resulting in the predicted number of people, the predicted indoor carbon dioxide concentration, and the predicted indoor temperature and humidity. The frequencies of the air conditioner's fresh air fan, indoor fan, and compressor are controlled according to at least one of the air conditioner's operating mode, the predicted number of people, the predicted indoor carbon dioxide concentration, and the predicted indoor ambient temperature and humidity.

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