Control method of multi-split air conditioning system, multi-split air conditioning system and storage medium

Abstract

The invention discloses a control method of a multi-split air conditioning system, the multi-split air conditioning system and a computer readable storage medium. The method comprises the steps of determining a first energy demand request of a current room according to a user set temperature parameter and a first environment parameter of the current room; and determining a second energy demand request of the current room according to the second environment parameter. Determining a third energy demand request of the current room according to the number of running air conditioner indoor units of the multi-split air conditioning system, the running mode of each air conditioner indoor unit, the calibrated temperature parameter of each air conditioner indoor unit, the user set temperature parameter of each air conditioner indoor unit, the third environment parameter and the power grid state information; the operation mode comprises a refrigeration mode and a heating mode. And according to the first energy demand request, the second energy demand request and the third energy demand request, the target energy demand of the current room is determined so as to control the multi-split air conditioning system. Therefore, individual requirements of users are met, comfort and energy conservation are considered, and the balance of comfort and energy conservation is achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of air conditioner control, and particularly to a control method for a multi-connected air conditioner system, a multi-connected air conditioner system, and a computer-readable storage medium. Background Art

[0002] In related technologies, a multi-connected air conditioner system can be used to control the temperatures of multiple rooms. That is, an air conditioner indoor unit is independently installed in each room, and the outdoor main unit serves as a power source and a heat exchange center to flexibly control the local temperature. However, in this way, only the personalized needs of different rooms can be met, and the comprehensive considerations of user needs, comfort needs, and energy-saving needs are lacking, and the accuracy of energy demand allocation for each room is insufficient. Summary of the Invention

[0003] The present application provides a control method for a multi-connected air conditioner system, a server, and a computer-readable storage medium.

[0004] An embodiment of the present application provides a control method for a multi-connected air conditioner system, the method comprising:

[0005] Determining a first energy demand request for the current room according to a user-set temperature parameter and a first environmental parameter of the current room;

[0006] Determining a second energy demand request for the current room according to a second environmental parameter;

[0007] Determining a third energy demand request for the current room according to the number of air conditioner indoor units currently operating in the multi-connected air conditioner system, the operating mode of each air conditioner indoor unit, the calibrated temperature parameter of each air conditioner indoor unit, the user-set temperature parameter of each air conditioner indoor unit, a third environmental parameter, and grid status information, where the operating mode includes a cooling mode and a heating mode;

[0008] Determining a target energy demand for the current room according to the first energy demand request, the second energy demand request, and the third energy demand request to control the multi-connected air conditioner system.

[0009] In this way, the multi-connected air-conditioning system determines the first energy demand request of the current room according to the user-set temperature parameter and the first environmental parameter of the current room. Then, the multi-connected air-conditioning system determines the second energy demand request of the current room according to the second environmental parameter. Then, the multi-connected air-conditioning system determines the third energy demand request of the current room according to the number of operating air-conditioning indoor units in the multi-connected air-conditioning system, the operating mode of each air-conditioning indoor unit, the calibrated temperature parameter of each air-conditioning indoor unit, the user-set temperature parameter of each air-conditioning indoor unit, the third environmental parameter, and the power grid status information. The operating mode includes a cooling mode and a heating mode. Finally, the multi-connected air-conditioning system determines the target energy demand of the current room according to the first energy demand request, the second energy demand request, and the third energy demand request to control the multi-connected air-conditioning system. In this way, based on the real-time calculation of the first energy demand request, the second energy demand request, and the third energy demand request of each spatial unit of the multi-connected air-conditioning system, by comprehensively considering aspects such as user personalized needs, indoor environmental comfort, and system operation energy efficiency optimization, accurate energy distribution is achieved, so as to balance the user's comfort and the system's energy-saving effect while meeting the user's personalized needs, and achieve the balance between human comfort needs and energy-saving goals.

[0010] In some embodiments, the first environmental parameter includes the air temperature of the current room. The determining of the first energy demand request of the current room according to the user-set temperature parameter and the first environmental parameter of the current room includes:

[0011] Determine the user-set temperature parameter according to the user's temperature setting operation;

[0012] Determine the air temperature based on a preset temperature sensor;

[0013] Based on a preset control algorithm, determine the first energy demand request according to the user-set temperature parameter and the air temperature.

[0014] In this way, the multi-connected air-conditioning system determines the user-set temperature parameter according to the user's temperature setting operation. Then, based on a preset temperature sensor, the multi-connected air-conditioning system determines the air temperature. Finally, based on a preset control algorithm, the multi-connected air-conditioning system determines the first energy demand request according to the user-set temperature parameter and the air temperature. In this way, based on the preset control algorithm, the multi-connected air-conditioning system can comprehensively consider the user-set temperature parameter and the air temperature, and accurately determine the first energy demand request of the current room, thereby providing a data basis for the subsequent calculation of the target energy demand and realizing the optimization of the multi-connected air-conditioning system in terms of user personalized needs.

[0015] In some embodiments, the second environmental parameter includes the air temperature, air humidity, and mean radiant temperature of the current room. The determining of the second energy demand request of the current room according to the second environmental parameter includes:

[0016] Based on the preset relationship between the fan speed and the average wind speed, determine the average wind speed of the current room according to the fan speed of the indoor air conditioner;

[0017] Based on the preset relationship between the season and the typical clothing thermal resistance, determine the current clothing thermal resistance;

[0018] Based on the preset infrared sensor, determine the human activity data of the current room;

[0019] Based on the preset relationship between the activity state and the metabolic rate, determine the current metabolic rate according to the human activity data;

[0020] Based on the preset thermal comfort index algorithm, determine the current thermal comfort index according to the air temperature, the air humidity, the mean radiant temperature, the average wind speed, the current clothing thermal resistance and the current metabolic rate;

[0021] Based on the preset relationship between the thermal comfort index and the second energy demand request, determine the second energy demand request according to the operation mode and the current thermal comfort index.

[0022] In this way, based on the preset relationship between the fan speed and the average wind speed, the multi-split air-conditioning system determines the average wind speed of the current room according to the fan speed of the indoor air conditioner. Then, based on the preset relationship between the season and the typical clothing thermal resistance, the multi-split air-conditioning system determines the current clothing thermal resistance. Next, based on the preset infrared sensor, the multi-split air-conditioning system determines the human activity data of the current room. Subsequently, based on the preset relationship between the activity state and the metabolic rate, the multi-split air-conditioning system determines the current metabolic rate according to the human activity data. Then again, based on the preset thermal comfort index algorithm, the multi-split air-conditioning system determines the current thermal comfort index according to the air temperature, air humidity, mean radiant temperature, average wind speed, current clothing thermal resistance and current metabolic rate. Finally, based on the preset relationship between the thermal comfort index and the second energy demand request, the multi-split air-conditioning system determines the second energy demand request according to the operation mode and the current thermal comfort index. In this way, through the preset thermal comfort index algorithm, the multi-split air-conditioning system can accurately quantify the current thermal comfort index according to parameters such as air temperature, air humidity, mean radiant temperature, average wind speed, current clothing thermal resistance and current metabolic rate. And, based on the preset relationship between the thermal comfort index and the second energy demand request, the multi-split air-conditioning system can determine the second energy demand request according to the operation mode of the indoor air conditioner in the current room and the current thermal comfort index, thereby providing a data basis for the calculation of the subsequent target energy demand and realizing the optimization of the multi-split air-conditioning system in terms of indoor environmental comfort.

[0023] In some embodiments, the third environmental parameter includes the air temperature of the current room. Determining the third energy demand request of the current room according to the number of air conditioner indoor units in operation of the multi-connected air conditioner system, the operation mode of each air conditioner indoor unit, the calibrated temperature parameter of each air conditioner indoor unit, the user-set temperature parameter of each air conditioner indoor unit, the third environmental parameter, and the grid status information includes:

[0024] Determine the current energy-saving temperature coefficient of the current room according to the operation mode of the air conditioner indoor unit in the current room, the calibrated temperature parameter of the air conditioner indoor unit in the current room, and the user-set temperature parameter of the air conditioner indoor unit in the current room;

[0025] Determine the current temperature coefficient activation value of the current room according to the current energy-saving temperature coefficient, the number of air conditioner indoor units, the operation mode of each air conditioner indoor unit, the calibrated temperature parameter of each air conditioner indoor unit, and the user-set temperature parameter of each air conditioner indoor unit;

[0026] Determine the energy-saving set temperature of the current room according to the operation mode of the air conditioner indoor unit in the current room, the grid status information, the user-set temperature parameter of the air conditioner indoor unit in the current room, and the current temperature coefficient activation value;

[0027] Based on a preset control algorithm, determine the third energy demand request according to the energy-saving set temperature and the air temperature.

[0028] Thus, the multi-connected air-conditioning system determines the current energy-saving temperature coefficient of the current room based on the operating mode of the air-conditioning indoor unit in the current room, the calibrated temperature parameter of the air-conditioning indoor unit in the current room, and the user-set temperature parameter of the air-conditioning indoor unit in the current room. Next, the multi-connected air-conditioning system determines the current temperature coefficient activation value of the current room based on the current energy-saving temperature coefficient, the number of air-conditioning indoor units, the operating mode of each air-conditioning indoor unit, the calibrated temperature parameter of each air-conditioning indoor unit, and the user-set temperature parameter of each air-conditioning indoor unit. Then, the multi-connected air-conditioning system determines the energy-saving set temperature of the current room based on the operating mode of the air-conditioning indoor unit in the current room, the grid status information, the user-set temperature parameter of the air-conditioning indoor unit in the current room, and the current temperature coefficient activation value. Finally, based on a preset control algorithm, the multi-connected air-conditioning system determines the third energy demand request according to the energy-saving set temperature and the air temperature. In this way, by analyzing the operating mode, calibrated temperature parameter, and user-set temperature parameter of the air-conditioning indoor unit in the current room, the system can determine the current energy-saving temperature coefficient of the current room, and then determine the current temperature coefficient activation value according to the energy-saving temperature coefficient, so as to determine the energy-saving set temperature according to the current temperature coefficient activation value, and finally determine the third energy demand request of the current room according to the energy-saving set temperature, providing a data basis for the calculation of the subsequent target energy demand and realizing the optimization of the multi-connected air-conditioning system in terms of energy-saving operation.

[0029] In some embodiments, the calibrated temperature parameter includes the highest temperature threshold and the lowest temperature threshold of the air-conditioning indoor unit, and the determining of the current energy-saving temperature coefficient of the current room according to the operating mode of the air-conditioning indoor unit in the current room, the calibrated temperature parameter of the air-conditioning indoor unit in the current room, and the user-set temperature parameter of the air-conditioning indoor unit in the current room includes:

[0030] When the operating mode is the cooling mode, the current energy-saving temperature coefficient is determined according to the highest temperature threshold of the air-conditioning indoor unit in the current room and the user-set temperature parameter of the air-conditioning indoor unit in the current room;

[0031] When the operating mode is the heating mode, the current energy-saving temperature coefficient is determined according to the lowest temperature threshold of the air-conditioning indoor unit in the current room and the user-set temperature parameter of the air-conditioning indoor unit in the current room.

[0032] Thus, in the case where the operating mode is the cooling mode, the multi-connected air-conditioning system determines the current energy-saving temperature coefficient according to the highest temperature threshold of the air-conditioning indoor unit in the current room and the user-set temperature parameter of the air-conditioning indoor unit in the current room. Then, in the case where the operating mode is the heating mode, the multi-connected air-conditioning system determines the current energy-saving temperature coefficient according to the lowest temperature threshold of the air-conditioning indoor unit in the current room and the user-set temperature parameter of the air-conditioning indoor unit in the current room. In this way, in the cooling mode and the heating mode, by calculating the difference between the highest temperature threshold and the user-set temperature parameter, and the difference between the lowest temperature threshold and the user-set temperature parameter respectively, the energy-saving temperature coefficient of the current room is accurately determined, thereby providing a data basis for the calculation of the current temperature coefficient activation value in the subsequent process.

[0033] In some embodiments, determining the current temperature coefficient activation value of the current room according to the current energy-saving temperature coefficient, the number of air-conditioning indoor units, the operating mode of each air-conditioning indoor unit, the calibrated temperature parameter of each air-conditioning indoor unit, and the user-set temperature parameter of each air-conditioning indoor unit includes:

[0034] Determine the energy-saving temperature coefficient of each air-conditioning indoor unit according to the operating mode of each air-conditioning indoor unit, the calibrated temperature parameter of each air-conditioning indoor unit, and the user-set temperature parameter of each air-conditioning indoor unit;

[0035] Determine the average temperature coefficient according to the energy-saving temperature coefficient of each air-conditioning indoor unit and the number of air-conditioning indoor units;

[0036] Determine the current temperature coefficient activation value according to the current energy-saving temperature coefficient and the average temperature coefficient.

[0037] Thus, the multi-connected air-conditioning system determines the energy-saving temperature coefficient of each air-conditioning indoor unit according to the operating mode of each air-conditioning indoor unit, the calibrated temperature parameter of each air-conditioning indoor unit, and the user-set temperature parameter of each air-conditioning indoor unit. Then, the multi-connected air-conditioning system determines the average temperature coefficient according to the energy-saving temperature coefficient of each air-conditioning indoor unit and the number of air-conditioning indoor units. Finally, the multi-connected air-conditioning system determines the current temperature coefficient activation value according to the current energy-saving temperature coefficient and the average temperature coefficient. In this way, the current temperature coefficient activation value is obtained through calculation, providing data support for the calculation of the subsequent energy-saving set temperature, and helping to control the balance among the user's personalized needs, energy-saving needs, and comfort needs of the multi-connected air-conditioning system.

[0038] In some embodiments, the power grid status information includes peak power consumption periods, normal power consumption periods, valley power consumption periods, and super valley power consumption periods. Determining the energy-saving set temperature of the current room based on the operating mode of the air conditioner indoor unit in the current room, the power grid status information, the user-set temperature parameter of the air conditioner indoor unit in the current room, and the current temperature coefficient activation value includes:

[0039] Based on the preset operating mode - power grid status information - energy-saving correction value correspondence, determine the energy-saving correction value of the air conditioner indoor unit in the current room according to the operating mode of the air conditioner indoor unit in the current room and the power grid status information;

[0040] Determine the energy-saving corrected temperature of the current room according to the energy-saving correction value and the current temperature coefficient activation value;

[0041] Determine the energy-saving set temperature according to the user-set temperature parameter and the energy-saving corrected temperature.

[0042] In this way, based on the preset operating mode - power grid status information - energy-saving correction value correspondence, the multi-split air-conditioning system determines the energy-saving correction value of the air conditioner indoor unit in the current room according to the operating mode of the air conditioner indoor unit in the current room and the power grid status information. Then, the multi-split air-conditioning system determines the energy-saving corrected temperature of the current room according to the energy-saving correction value and the current temperature coefficient activation value. Finally, the multi-split air-conditioning system determines the energy-saving set temperature according to the user-set temperature parameter and the energy-saving corrected temperature. In this way, by calculating to determine the energy-saving set temperature, it can provide a data basis for the subsequent calculation of the third energy demand request of the current room, which helps to control the balance among the personalized needs, energy-saving needs, and comfort needs of the multi-split air-conditioning system.

[0043] In some embodiments, determining the target energy demand of the current room according to the first energy demand request, the second energy demand request, and the third energy demand request to control the multi-split air-conditioning system includes:

[0044] Based on the preset control mode - weight correspondence, determine the first weight corresponding to the first energy demand request, the second weight corresponding to the second energy demand request, and the third weight corresponding to the third energy demand request according to the control mode of the air conditioner indoor unit, where the control mode includes a standard mode, a performance mode, an energy-saving mode, and a comfort mode;

[0045] Determine the target energy demand request of the current room according to the first weight, the second weight, the third weight, the first energy demand request, the second energy demand request, and the third energy demand request;

[0046] Determine the target energy demand according to the initial energy demand of the current room and the target energy demand request.

[0047] Control the multi-split air-conditioning system according to the target energy demand.

[0048] In this way, based on the preset control mode-weight correspondence, the multi-split air-conditioning system determines the first weight corresponding to the first energy demand request, the second weight corresponding to the second energy demand request, and the third weight corresponding to the third energy demand request according to the control mode of the air-conditioning indoor unit. The control modes include the standard mode, the performance mode, the energy-saving mode, and the comfort mode. Then, the multi-split air-conditioning system determines the target energy demand request of the current room according to the first weight, the second weight, the third weight, the first energy demand request, the second energy demand request, and the third energy demand request. Then, the multi-split air-conditioning system determines the target energy demand according to the initial energy demand of the current room and the target energy demand request. Finally, the multi-split air-conditioning system controls the multi-split air-conditioning system according to the target energy demand. In this way, by combining the first weight, the second weight, the third weight, and the first energy demand request, the second energy demand request, and the third energy demand request, the multi-split air-conditioning system can accurately determine the target energy demand request of the current room, and the multi-split air-conditioning system can achieve precise energy distribution, so as to balance the user comfort and the system energy-saving effect while meeting the user-set parameter requirements, and achieve the balance between the human comfort demand and the energy-saving goal.

[0049] An embodiment of the present application provides a multi-split air-conditioning system, which includes an air-conditioning outdoor main unit, a plurality of air-conditioning indoor units, and a controller, and the controller is configured to:

[0050] Determine the first energy demand request of the current room according to the user-set temperature parameter and the first environmental parameter of the current room;

[0051] Determine the second energy demand request of the current room according to the second environmental parameter;

[0052] Determine the third energy demand request of the current room according to the number of air-conditioning indoor units in operation of the multi-split air-conditioning system, the operation mode of each air-conditioning indoor unit, the calibrated temperature parameter of each air-conditioning indoor unit, the user-set temperature parameter of each air-conditioning indoor unit, the third environmental parameter, and the grid status information, and the operation mode includes the cooling mode and the heating mode;

[0053] Determine the target energy demand of the current room according to the first energy demand request, the second energy demand request, and the third energy demand request to control the multi-split air-conditioning system.

[0054] Thus, the multi-connected air conditioning system determines the first energy demand request of the current room based on the user-set temperature parameter and the first environmental parameter of the current room. Next, the multi-connected air conditioning system determines the second energy demand request of the current room according to the second environmental parameter. Then, the multi-connected air conditioning system determines the third energy demand request of the current room based on the number of operating air conditioner indoor units in the multi-connected air conditioning system, the operating mode of each air conditioner indoor unit, the calibrated temperature parameter of each air conditioner indoor unit, the user-set temperature parameter of each air conditioner indoor unit, the third environmental parameter, and the grid status information. The operating mode includes a cooling mode and a heating mode. Finally, the multi-connected air conditioning system determines the target energy demand of the current room according to the first energy demand request, the second energy demand request, and the third energy demand request to control the multi-connected air conditioning system. In this way, based on the real-time calculation of the first energy demand request, the second energy demand request, and the third energy demand request of each space unit of the multi-connected air conditioning system, by comprehensively considering aspects such as user personalized needs, indoor environmental comfort, and system operation energy efficiency optimization, precise energy distribution is achieved, so as to balance the user's personalized needs while taking into account user comfort and system energy-saving effects, and achieve the balance between human comfort needs and energy-saving goals.

[0055] An embodiment of the present application provides a multi-connected air conditioning system, which includes a processor and a memory. A computer program is stored on the memory. When the computer program is executed by the processor, the control method of the multi-connected air conditioning system described above is implemented.

[0056] An embodiment of the present application provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the control method of the multi-connected air conditioning system as described above are implemented.

[0057] Additional aspects and advantages of the embodiments of the present application will be given in part in the following description, will become apparent in part from the following description, or will be understood through the practice of the embodiments of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] The above and / or additional aspects and advantages of the present application will become apparent and be readily understood from the description of the embodiments in conjunction with the following drawings, in which:

[0059] Figure 1 is one of the flow charts of the control method of the multi-connected air conditioning system according to some embodiments of the present application;

[0060] Figure 2 is the flow chart of the calculation of the target energy demand according to some embodiments of the present application;

[0061] Figure 3 is the second flow chart of the control method of the multi-connected air conditioning system according to some embodiments of the present application;

[0062] Figure 4 It is the third schematic flow chart of the control method of the multi-connected air conditioner system according to some embodiments of the present application;

[0063] Figure 5 It is the fourth schematic flow chart of the control method of the multi-connected air conditioner system according to some embodiments of the present application;

[0064] Figure 6 It is the fifth schematic flow chart of the control method of the multi-connected air conditioner system according to some embodiments of the present application;

[0065] Figure 7 It is the sixth schematic flow chart of the control method of the multi-connected air conditioner system according to some embodiments of the present application;

[0066] Figure 8 It is the seventh schematic flow chart of the control method of the multi-connected air conditioner system according to some embodiments of the present application;

[0067] Figure 9 It is the eighth schematic flow chart of the control method of the multi-connected air conditioner system according to some embodiments of the present application. Specific Embodiments

[0068] The following details the embodiments of the present application. The examples of the embodiments are shown in the accompanying drawings, where the same or similar reference numerals denote the same or similar elements or elements with the same or similar functions throughout. The embodiments described below by referring to the accompanying drawings are exemplary and are only used to explain the embodiments of the present application and should not be construed as a limitation to the embodiments of the present application.

[0069] In the field of air conditioning technology, a multi-connected air conditioner system can independently control the temperatures of multiple rooms, thereby improving the energy utilization efficiency of the system and meeting the personalized temperature requirements of users in different rooms. The multi-connected air conditioner system installs air conditioner indoor units independently in each room, and these air conditioner indoor units are connected to the outdoor main unit through refrigerant pipes. The outdoor main unit, as the power source and heat exchange center of the multi-connected air conditioner system, flexibly provides or recovers heat according to the needs of each room, so as to achieve precise control of the local temperature.

[0070] However, although the multi-connected air conditioner system has advantages in independent control and can meet the personalized needs of users, there are still deficiencies in the comprehensive consideration of comfort requirements and energy-saving requirements. That is, the multi-connected air conditioner system may not be able to accurately evaluate and allocate the energy needs of each room, resulting in energy waste or a reduction in comfort.

[0071] Based on the above problems, please refer to Figure 1 , the embodiments of the present application provide a control method for a multi-connected air conditioner system, and the method includes:

[0072] 01: Determine the first energy demand request of the current room according to the user-set temperature parameter and the first environmental parameter of the current room.

[0073] 02: Determine the second energy demand request of the current room according to the second environmental parameter.

[0074] 03: Determine the third energy demand request of the current room according to the number of air-conditioning indoor units operating in the multi-connected air-conditioning system, the operating mode of each air-conditioning indoor unit, the calibrated temperature parameter of each air-conditioning indoor unit, the user-set temperature parameter of each air-conditioning indoor unit, the third environmental parameter, and the power grid status information.

[0075] 04: Determine the target energy demand of the current room according to the first energy demand request, the second energy demand request, and the third energy demand request to control the multi-connected air-conditioning system.

[0076] The embodiment of the present application also provides a multi-connected air-conditioning system, including a memory and a processor. The control method of the multi-connected air-conditioning system according to the embodiment of the present application can be implemented by the multi-connected air-conditioning system according to the embodiment of the present application. Specifically, a computer program is stored in the memory, and the processor is used to determine the first energy demand request of the current room according to the user-set temperature parameter and the first environmental parameter of the current room, and to determine the second energy demand request of the current room according to the second environmental parameter. The processor is also used to determine the third energy demand request of the current room according to the number of air-conditioning indoor units operating in the multi-connected air-conditioning system, the operating mode of each air-conditioning indoor unit, the calibrated temperature parameter of each air-conditioning indoor unit, the user-set temperature parameter of each air-conditioning indoor unit, the third environmental parameter, and the power grid status information. And to determine the target energy demand of the current room according to the first energy demand request, the second energy demand request, and the third energy demand request to control the multi-connected air-conditioning system.

[0077] The embodiment of the present application also provides a multi-connected air-conditioning system. The multi-connected air-conditioning system includes an air-conditioning outdoor host, a plurality of air-conditioning indoor units, and a controller. The control method of the multi-connected air-conditioning system according to the embodiment of the present application can be implemented by the multi-connected air-conditioning system according to the embodiment of the present application. Specifically, the multi-connected air-conditioning system includes a controller. The controller is used to determine the first energy demand request of the current room according to the user-set temperature parameter and the first environmental parameter of the current room, and to determine the second energy demand request of the current room according to the second environmental parameter. The controller is also used to determine the third energy demand request of the current room according to the number of air-conditioning indoor units operating in the multi-connected air-conditioning system, the operating mode of each air-conditioning indoor unit, the calibrated temperature parameter of each air-conditioning indoor unit, the user-set temperature parameter of each air-conditioning indoor unit, the third environmental parameter, and the power grid status information. And to determine the target energy demand of the current room according to the first energy demand request, the second energy demand request, and the third energy demand request to control the multi-connected air-conditioning system.

[0078] Specifically, the user-set temperature parameter refers to the target temperature value T set by the user set_i , usually in degrees Celsius (°C) or degrees Fahrenheit (°F). In some embodiments, it can be set through the physical buttons or touch screen interface of the indoor unit thermostat, or remotely set based on a mobile application, and can also be set through the user's voice request.

[0079] The first environmental parameter refers to the air temperature T in the current room, which directly affects thermal comfort and indirectly affects equipment regulation room_i , usually in degrees Celsius (°C) or degrees Fahrenheit (°F). The air temperature is determined by the combined action of the building insulation performance in the current room and indoor heat sources (such as people, animals, and electric heaters, etc., related objects that can generate heat or cold). In some embodiments, the air temperature is usually measured and determined by a temperature sensor installed at the return air outlet of the air conditioner indoor unit.

[0080] Directly affecting thermal comfort can be understood as that the human body's perception and comfort of the surrounding environment largely depend on the air temperature. Too high or too low air temperature will cause discomfort to the human body. Therefore, the air conditioning system needs to adjust its operating state according to the air temperature to maintain a comfortable environment.

[0081] Indirectly affecting equipment regulation can be understood as that the regulation of the multi-split air conditioning system will refer to the difference between the air temperature and the user-set temperature. That is to say, the difference between the air temperature and the user-set temperature, according to its weight ratio, has an adjustment effect on the regulation of the multi-split air conditioning system.

[0082] The first energy demand request refers to the energy demand allocation request associated with the user-set temperature triggered by the user after setting the user-set temperature T set_i , which is jointly determined by the user-set temperature parameter and the first environmental parameter, that is, the user's personalized energy demand request. That is to say, if the difference between the user-set temperature and the air temperature is large, the multi-split air conditioning system needs to consume more energy to reach the user-set temperature.

[0083] The second environmental parameter includes the air temperature T of the current room room_i , air humidity RH, and mean radiant temperature T wAmong them, the air humidity RH refers to the amount of water vapor in the air in the current room. High humidity may cause people to feel stuffy and uncomfortable, while low humidity may cause dry skin and respiratory discomfort. The air-conditioning system needs to maintain a comfortable indoor environment by adjusting the air humidity. Usually, in the cooling mode, the air-conditioning system will reduce the air humidity; in the heating mode, it may be necessary to increase the air humidity. The mean radiant temperature refers to the average of the surface temperatures of objects in the current room, usually in degrees Celsius (°C) or degrees Fahrenheit (°F). The human body perceives the environmental temperature by exchanging heat with the surfaces of surrounding objects through radiation. If the surface temperature of indoor objects is high, the human body will feel warm; otherwise, it will feel cool.

[0084] The second energy demand request refers to the energy demand request based on comfort, that is, the comfort demand, which is used to eliminate the deviation between temperature control and the actual comfort demand of the human body. That is to say, on the basis that the temperature can meet the user's needs, optimize the thermal comfort and the indoor environment.

[0085] The operating mode refers to the basic working state in which the indoor unit of the air conditioner switches according to the user's needs and environmental needs. Its essence is to actively control the indoor thermal environment by adjusting the output direction of the cold and heat sources, including the cooling mode and the heating mode. The thermodynamic process of the cooling mode is that the refrigerant absorbs heat and evaporates through the evaporator (indoor side), is boosted by the compressor, and releases heat and liquefies in the condenser (outdoor side), completing the reverse Carnot cycle. The reverse Carnot cycle refers to an ideal thermodynamic cycle, which represents the theoretical basis for the operation of heat pump systems and refrigeration systems. The thermodynamic process of the heating mode is that the heat pump system switches the refrigerant flow direction through the four-way valve, so that the functions of the evaporator and the condenser are interchanged (heat is released on the indoor side and heat is absorbed on the outdoor side). The four-way valve refers to a key control component in the heat pump system, which realizes the switching between the cooling and heating modes by changing the refrigerant flow direction. It should be noted that in some embodiments, the operating mode may include other modes of the indoor unit of the air conditioner, which are not limited here.

[0086] The calibrated temperature parameter refers to the temperature control range set by the manufacturer for each indoor unit of the air conditioner, that is, the highest temperature threshold and the lowest temperature threshold in different operating modes.

[0087] The third environmental parameter refers to the air temperature T in the current room, which directly affects thermal comfort and indirectly affects equipment regulation room_i , usually in degrees Celsius (°C) or degrees Fahrenheit (°F).

[0088] Grid status information includes peak electricity consumption periods, normal electricity consumption periods, valley electricity consumption periods, and ultra-low valley electricity consumption periods. Among them, the peak electricity consumption period refers to the period with the highest grid load and the most expensive electricity price. During this period, industrial and commercial activities are busy, and household electricity demand is also relatively high, resulting in a sharp increase in electricity load. The normal electricity consumption period refers to the period with relatively stable electricity load. During this period, although the electricity load is relatively high, it is relatively stable and does not reach the peak value. The valley electricity consumption period refers to the period when the electricity load reaches the lowest value. During this period, industrial and commercial activities decrease, and household electricity demand is also relatively low, resulting in a significant decrease in electricity load. The ultra-low valley electricity consumption period refers to the period when the electricity load is extremely low or even negative. During this period, the power generation of renewable energy sources (such as wind power and solar energy) may exceed the load demand of the power grid, resulting in a negative electricity load.

[0089] The third energy demand request refers to the energy demand request based on energy conservation considerations, that is, the energy conservation demand. On the premise of ensuring the satisfaction of user needs and the guarantee of comfort requirements, it pursues the minimization of energy input.

[0090] The target energy demand refers to the energy demand in the current room finally determined after comprehensively considering temperature control (the first energy demand request), comfort optimization (the second energy demand request), and energy conservation (the third energy demand request). The outdoor main unit of the multi-split air-conditioning system flexibly provides or recovers heat according to the target energy demand.

[0091] Please refer to Figure 2 , Figure 2 for the schematic diagram of the calculation process of the target energy demand. After the user in the current room turns on the indoor unit of the air conditioner in the current room through a remote control or other means, the multi-split air-conditioning system will enter the calculation process of the target energy demand in the current room and assign an initial energy demand Q i 1. Then, after the user sets the user-set temperature parameter of the current room, the multi-split air-conditioning system will determine the first energy demand request of the current room according to the user-set temperature parameter of the current room and the first environmental parameter (i.e., air temperature).

[0092] Then, according to the second environmental parameter, determine the second energy demand request of the current room.

[0093] Subsequently, according to the number of indoor units of the air conditioner that the multi-split air-conditioning system is running, the operating mode (cooling mode or heating mode) of each indoor unit of the air conditioner, the calibrated temperature parameter of each indoor unit of the air conditioner, the user-set temperature parameter of each indoor unit of the air conditioner, the third environmental parameter, and the grid status information, determine the third energy demand request of the current room.

[0094] Finally, based on the first energy demand request, the second energy demand request, and the third energy demand request, determine the target energy demand of the current room. The target energy demand is the result of comprehensively considering user needs, comfort requirements, and energy-saving requirements, and is used to control the operating state of the multi-split air conditioning system.

[0095] In summary, for the control method and multi-split air conditioning system provided by the embodiments of the present application, the multi-split air conditioning system determines the first energy demand request of the current room according to the user-set temperature parameter and the first environmental parameter of the current room. Next, the multi-split air conditioning system determines the second energy demand request of the current room according to the second environmental parameter. Then, the multi-split air conditioning system determines the third energy demand request of the current room according to the number of air conditioner indoor units that the multi-split air conditioning system is currently operating, the operating mode of each air conditioner indoor unit, the calibrated temperature parameter of each air conditioner indoor unit, the user-set temperature parameter of each air conditioner indoor unit, the third environmental parameter, and the power grid status information. The operating mode includes a cooling mode and a heating mode. Finally, the multi-split air conditioning system determines the target energy demand of the current room according to the first energy demand request, the second energy demand request, and the third energy demand request to control the multi-split air conditioning system. In this way, based on the real-time calculation of the first energy demand request, the second energy demand request, and the third energy demand request of each space unit of the multi-split air conditioning system, by comprehensively considering aspects such as user personalized needs, indoor environmental comfort, and system operation energy efficiency optimization, accurate energy distribution is achieved, so as to balance user comfort and system energy-saving effect while meeting user personalized needs, and achieve the balance between human comfort requirements and energy-saving goals.

[0096] Please refer to Figure 3 , in some embodiments, the first environmental parameter includes the air temperature of the current room. Step 01 (determine the first energy demand request of the current room according to the user-set temperature parameter and the first environmental parameter) includes:

[0097] 011: Determine the user-set temperature parameter according to the user's temperature setting operation;

[0098] 012: Determine the air temperature based on a preset temperature sensor;

[0099] 013: Based on a preset control algorithm, determine the first energy demand request according to the user-set temperature parameter and the air temperature.

[0100] In some embodiments, the controller is further configured to determine the user-set temperature parameter according to the user's temperature setting operation. And determine the air temperature based on a preset temperature sensor. And based on a preset control algorithm, determine the first energy demand request according to the user-set temperature parameter and the air temperature.

[0101] In some embodiments, the processor is further configured to determine the user-set temperature parameter according to the user's temperature setting operation. And based on a preset temperature sensor, determine the air temperature. And based on a preset control algorithm, determine the first energy demand request according to the user-set temperature parameter and the air temperature.

[0102] Specifically, the temperature setting operation refers to the user setting the desired indoor temperature through the control device of the air conditioner indoor unit (such as a remote control, a control panel, or a mobile application, etc.), that is, the user-set temperature T. set_i .

[0103] The preset temperature sensor refers to a temperature sensing device used to monitor the indoor air temperature in a multi-split air conditioner system. It is usually installed at a specific location (such as the return air outlet, etc.) of the air conditioner indoor unit, and can detect and transmit the indoor air temperature data in real time, and transmit it to the controller of the multi-split air conditioner system. The controller adjusts the energy of the air conditioner indoor unit delivered to the current room by the multi-split air conditioner system according to the air temperature and the user's temperature setting operation to maintain the indoor temperature within the range set by the user.

[0104] The preset control algorithm refers to a pre-configured control strategy in the multi-split air conditioner system, which is used to calculate the first energy demand request of the air conditioner indoor unit according to the user-set temperature parameter and the air temperature. For example, the Proportional-Integral-Derivative (PID) control algorithm. The PID algorithm is used to adjust the operation of the multi-split air conditioner system according to the user-set temperature parameter and the air temperature to keep the indoor temperature stable within the range set by the user. Among them, the proportional control part adjusts the control action according to the magnitude of the current error (the difference between the user-set temperature and the actual indoor temperature). That is, the larger the error, the stronger the control action. The integral control part integrates the error and focuses on the cumulative effect of the error over time. That is, it adjusts the control action according to the duration of the error to eliminate the steady-state error. The derivative control part differentiates the rate of change of the error, which can predict the change trend of the error. That is, it adjusts the control action according to the rate of change of the error to suppress the overshoot and oscillation of the system.

[0105] The calculation formula of the PID control algorithm is ΔQ r_i = f PID (T set_i , T room_i ), where f PID is the room temperature control algorithm, that is, the PID algorithm. ΔQ r_iIt is the first energy demand request for the current room, and i is used to indicate the current room. It should be noted that in the application scenarios listed in the embodiments of the present application, each room is default configured with a single air conditioner indoor unit only. If there are multiple air conditioner indoor units configured in a certain room in actual applications, the variable i will be used to identify the currently operating air conditioner indoor unit, and at the same time, all the "current room" expressions involved in the embodiments of the present application need to be correspondingly replaced with "current air conditioner indoor unit".

[0106] First, the user performs a temperature setting operation through the control device of the air conditioner indoor unit to set the desired indoor temperature. The multi-connected air conditioner system responds to the user's temperature setting operation and determines the user-set temperature parameter.

[0107] Next, the multi-connected air conditioner system uses a preset temperature sensor to continuously monitor the indoor air temperature.

[0108] Finally, based on a preset control algorithm (such as the PID algorithm), the system calculates the first energy demand request for the current room according to the user-set temperature parameter and the air temperature.

[0109] In this way, the multi-connected air conditioner system determines the user-set temperature parameter according to the user's temperature setting operation. Next, based on the preset temperature sensor, the multi-connected air conditioner system determines the air temperature. Finally, based on the preset control algorithm, the multi-connected air conditioner system determines the first energy demand request according to the user-set temperature parameter and the air temperature. In this way, based on the preset control algorithm, the multi-connected air conditioner system can comprehensively consider the user-set temperature parameter and the air temperature, and accurately determine the first energy demand request for the current room, thereby providing a basis for the subsequent calculation of the target energy demand and realizing the optimization of the multi-connected air conditioner system in terms of user personalized needs.

[0110] Please refer to Figure 4 , in some embodiments, the second environmental parameter includes the air temperature, air humidity and mean radiant temperature of the current room. Step 02 (determining the second energy demand request for the current room according to the second environmental parameter) includes:

[0111] 021: Based on the preset relationship between the fan speed and the average wind speed, determine the average wind speed of the current room according to the fan speed of the indoor air conditioner;

[0112] 022: Based on the preset relationship between the season and the typical clothing thermal resistance, determine the current clothing thermal resistance;

[0113] 023: Based on a preset infrared sensor, determine the human activity data of the current room;

[0114] 024: Based on the preset relationship between the activity state and the metabolic rate, determine the current metabolic rate according to the human activity data;

[0115] 025: Based on a preset thermal comfort index algorithm, determine the current thermal comfort index according to air temperature, air humidity, mean radiant temperature, mean wind speed, current clothing thermal resistance, and current metabolic rate.

[0116] 026: Based on a preset thermal comfort index - second energy demand request correspondence, determine the second energy demand request according to the operating mode and the current thermal comfort index.

[0117] In some embodiments, the controller is further configured to determine the mean wind speed of the current room based on a preset fan speed - mean wind speed correspondence according to the fan speed of the indoor air conditioner. And determine the current clothing thermal resistance based on a preset season - typical clothing thermal resistance correspondence. And determine the human activity data of the current room based on a preset infrared sensor. The controller is further configured to determine the current metabolic rate based on a preset activity state - metabolic rate correspondence according to the human activity data. And determine the current thermal comfort index based on a preset thermal comfort index algorithm according to air temperature, air humidity, mean radiant temperature, mean wind speed, current clothing thermal resistance, and current metabolic rate. And determine the second energy demand request based on a preset thermal comfort index - second energy demand request correspondence according to the operating mode and the current thermal comfort index.

[0118] In some embodiments, the processor is further configured to determine the mean wind speed of the current room based on a preset fan speed - mean wind speed correspondence according to the fan speed of the indoor air conditioner. And determine the current clothing thermal resistance based on a preset season - typical clothing thermal resistance correspondence. And determine the human activity data of the current room based on a preset infrared sensor. The processor is further configured to determine the current metabolic rate based on a preset activity state - metabolic rate correspondence according to the human activity data. And determine the current thermal comfort index based on a preset thermal comfort index algorithm according to air temperature, air humidity, mean radiant temperature, mean wind speed, current clothing thermal resistance, and current metabolic rate. And determine the second energy demand request based on a preset thermal comfort index - second energy demand request correspondence according to the operating mode and the current thermal comfort index.

[0119] Specifically, the second environmental parameter includes the air temperature T of the current room room_i , air humidity RH, and mean radiant temperature T w . In some embodiments, the air humidity is monitored based on a preset humidity sensor, which is usually installed at a specific location (such as the return air vent, etc.) of the indoor air conditioner, and can detect and transmit the indoor air humidity in real time and transmit it to the controller of the multi - split air - conditioning system. The mean radiant temperature is monitored based on a preset infrared sensor.

[0120] The preset fan speed - average wind speed correspondence refers to the preset correspondence between each fan speed and a specific average wind speed determined based on the design parameters and performance requirements of the air conditioner indoor unit. In some embodiments, the possible preset fan speed - average wind speed correspondences are shown in Table 1:

[0121] Table 1

[0122] Fan Gear 1 2 3 4 5 6 7 Estimated Average Wind Speed v V1 V2 V3 V4 V5 V6 V7

[0123] The fan speed refers to the set value used to adjust the fan speed in the air conditioner indoor unit. Users can select different fan speeds through the control device of the air conditioning system (such as a remote control, control panel, or mobile application).

[0124] The average wind speed refers to the average speed of air flow in a specific area. In some embodiments, in a multi - split air - conditioning system, the average wind speed usually refers to the air flow rate at the outlet of the air conditioner indoor unit.

[0125] The current clothing thermal resistance refers to the typical clothing thermal resistance in the current season. Clothing thermal resistance refers to the ability of clothing to impede heat transfer, with the unit of clo (1 clo = 0.155 m 2 ·℃ / W), which can directly affect the sensible heat exchange (convection and radiation) between the human body and the environment and is a core parameter of the thermal comfort model (such as PMV).

[0126] The preset season - typical clothing thermal resistance correspondence refers to the mapping table of the preset season and the typical clothing thermal resistance value in the multi - split air - conditioning system, which is used to automatically estimate the current clothing thermal resistance according to the season. In some embodiments, the preset season - typical clothing thermal resistance correspondence may be as follows: short - sleeved T - shirt (summer): about 0.3 - 0.5 clo; suit (spring and autumn): about 0.8 - 1.0 clo; down jacket (winter): about 1.5 - 2.0 clo. The multi - split air - conditioning system matches the corresponding current clothing thermal resistance according to the current date in the preset season - typical clothing thermal resistance correspondence.

[0127] The preset infrared sensor refers to the infrared sensing device pre - configured in the system, which can be used to detect human activity data and mean radiant temperature. The preset infrared sensor can detect dynamic heat sources (such as movement, position change) by receiving the change of infrared radiation (wavelength 8 - 14 μm) emitted by the human body, and then judge the activity status of users in the current room.

[0128] Human activity data refers to the dynamic information related to human behavior and status (such as movement, position change) collected by the preset infrared sensor, and then judge the activity status of users in the current room. The activity status can be used to infer the metabolic rate.

[0129] The preset activity state - metabolic rate correspondence refers to a mapping table of common activity types and metabolic rate values preset in a multi - split air - conditioning system, which is used to automatically match the metabolic rate according to the user's activity state. In some embodiments, the preset activity state - metabolic rate correspondence may be as shown in Table 2:

[0130] Table 2

[0131] Activity Status Sleep Sitting Quietly Light Exercise Moderate Exercise Vigorous Exercise Current Metabolic Rate 0.7 1.0 1.8 2.6 3.5

[0132] The current metabolic rate refers to the heat production rate per unit body surface area of the human body, which is the core parameter for calculating thermal comfort, with the unit of Met (1 Met = 58.2 W / m 2 ²).

[0133] The preset thermal comfort index algorithm refers to the rules preset in a multi - split air - conditioning system, which is used to quantify the human perception of the thermal environment, that is, the thermal comfort index PMV, based on air temperature, air humidity, mean radiant temperature, mean air velocity, current clothing thermal resistance, and current metabolic rate. In some embodiments, the preset thermal comfort index algorithm can be the Predicted Mean Vote (PMV) algorithm in ASHRAE Standard 55. The PMV algorithm quantifies the human thermal balance state and converts the subjective thermal sensation into a computable objective index, that is, the thermal comfort index PMV. It should be noted that in other embodiments, the parameter information required for the thermal comfort index also includes relative air velocity and convective heat transfer coefficient, etc. Calculating the thermal comfort index using other parameters also falls within the protection scope of the embodiments of this application.

[0134] The preset thermal comfort index - second energy demand request correspondence refers to a mapping table of thermal comfort index and second energy demand request preset in a multi - split air - conditioning system, which is used to automatically match the second energy demand request according to the current thermal comfort index. In some embodiments, the preset thermal comfort index - second energy demand request correspondence may be as shown in Table 3:

[0135] Table 3

[0136]

[0137] where ΔQ PMVs_i is the second energy demand request of the current room.

[0138] First, based on the preset fan speed - mean air velocity correspondence, the multi - split air - conditioning system can determine the mean air velocity of the current room according to the fan speed of the indoor air conditioner.

[0139] Next, based on the preset season - typical clothing thermal resistance correspondence, the multi - split air - conditioning system can infer the current season according to the current date, and then infer the usual clothing situation of people, so as to evaluate the thermal comfort requirements of the human body.

[0140] Then, based on a preset infrared sensor, the multi-connected air conditioner system can monitor the human activity data in the current room, such as human position, activities, and exercise intensity, and then determine the current activity state of the user.

[0141] Subsequently, based on the preset correspondence between activity state and metabolic rate, the multi-connected air conditioner system can determine the current metabolic rate according to the human activity data.

[0142] Then, based on a preset thermal comfort index algorithm (such as the PMV model), the multi-connected air conditioner system can determine the current thermal comfort index according to parameters such as air temperature, air humidity, mean radiant temperature, mean air velocity, current clothing thermal resistance, and current metabolic rate.

[0143] Finally, based on the preset correspondence between thermal comfort index and the second energy demand request, the multi-connected air conditioner system can determine the second energy demand request according to the operating mode of the indoor air conditioner and the current thermal comfort index.

[0144] In this way, based on the preset correspondence between fan speed and mean air velocity, the multi-connected air conditioner system determines the mean air velocity of the current room according to the fan speed of the indoor air conditioner. Then, based on the preset correspondence between season and typical clothing thermal resistance, the multi-connected air conditioner system determines the current clothing thermal resistance. Then, based on the preset infrared sensor, the multi-connected air conditioner system determines the human activity data in the current room. Subsequently, based on the preset correspondence between activity state and metabolic rate, the multi-connected air conditioner system determines the current metabolic rate according to the human activity data. Then, based on the preset thermal comfort index algorithm, the multi-connected air conditioner system determines the current thermal comfort index according to air temperature, air humidity, mean radiant temperature, mean air velocity, current clothing thermal resistance, and current metabolic rate. Finally, based on the preset correspondence between thermal comfort index and the second energy demand request, the multi-connected air conditioner system determines the second energy demand request according to the operating mode and the current thermal comfort index. In this way, through the preset thermal comfort index algorithm, the multi-connected air conditioner system can accurately quantify the current thermal comfort index according to parameters such as air temperature, air humidity, mean radiant temperature, mean air velocity, current clothing thermal resistance, and current metabolic rate. Moreover, based on the preset correspondence between thermal comfort index and the second energy demand request, the multi-connected air conditioner system can determine the second energy demand request according to the operating mode of the indoor air conditioner in the current room and the current thermal comfort index, thereby providing a data basis for the calculation of subsequent target energy demand and realizing the optimization of the multi-connected air conditioner system in terms of indoor environmental comfort.

[0145] Please refer to Figure 5, in some embodiments, the third environmental parameter includes the air temperature of the current room, and step 03 (determining the third energy demand request of the current room according to the number of operating air-conditioning indoor units in the multi-connected air-conditioning system, the operating mode of each air-conditioning indoor unit, the calibrated temperature parameter of each air-conditioning indoor unit, the user-set temperature parameter of each air-conditioning indoor unit, the third environmental parameter, and the power grid status information) includes:

[0146] 031: Determine the current energy-saving temperature coefficient of the current room according to the operating mode of the air-conditioning indoor unit in the current room, the calibrated temperature parameter of the air-conditioning indoor unit in the current room, and the user-set temperature parameter of the air-conditioning indoor unit in the current room;

[0147] 032: Determine the current temperature coefficient activation value of the current room according to the current energy-saving temperature coefficient, the number of air-conditioning indoor units, the operating mode of each air-conditioning indoor unit, the calibrated temperature parameter of each air-conditioning indoor unit, and the user-set temperature parameter of each air-conditioning indoor unit;

[0148] 033: Determine the energy-saving set temperature of the current room according to the operating mode of the air-conditioning indoor unit in the current room, the power grid status information, the user-set temperature parameter of the air-conditioning indoor unit in the current room, and the current temperature coefficient activation value;

[0149] 034: Based on a preset control algorithm, determine the third energy demand request according to the energy-saving set temperature and the air temperature.

[0150] In some embodiments, the controller is further configured to determine the current energy-saving temperature coefficient of the current room according to the operating mode of the air-conditioning indoor unit in the current room, the calibrated temperature parameter of the air-conditioning indoor unit in the current room, and the user-set temperature parameter of the air-conditioning indoor unit in the current room. And determine the current temperature coefficient activation value of the current room according to the current energy-saving temperature coefficient, the number of air-conditioning indoor units, the operating mode of each air-conditioning indoor unit, the calibrated temperature parameter of each air-conditioning indoor unit, and the user-set temperature parameter of each air-conditioning indoor unit. The controller is further configured to determine the energy-saving set temperature of the current room according to the operating mode of the air-conditioning indoor unit in the current room, the power grid status information, the user-set temperature parameter of the air-conditioning indoor unit in the current room, and the current temperature coefficient activation value. And based on a preset control algorithm, determine the third energy demand request according to the energy-saving set temperature and the air temperature.

[0151] In some embodiments, the processor is further configured to determine the current energy-saving temperature coefficient of the current room according to the operating mode of the air conditioner indoor unit in the current room, the calibrated temperature parameter of the air conditioner indoor unit in the current room, and the user-set temperature parameter of the air conditioner indoor unit in the current room. And determine the current temperature coefficient activation value of the current room according to the current energy-saving temperature coefficient, the number of air conditioner indoor units, the operating mode of each air conditioner indoor unit, the calibrated temperature parameter of each air conditioner indoor unit, and the user-set temperature parameter of each air conditioner indoor unit. The processor is further configured to determine the energy-saving set temperature of the current room according to the operating mode of the air conditioner indoor unit in the current room, the grid status information, the user-set temperature parameter of the air conditioner indoor unit in the current room, and the current temperature coefficient activation value. And based on a preset control algorithm, determine the third energy demand request according to the energy-saving set temperature and the air temperature.

[0152] Specifically, the preset control algorithm refers to a control strategy pre-configured in the multi-split air-conditioning system, which is used to calculate the third energy demand request of the air conditioner indoor unit according to the energy-saving set temperature and the air temperature. For example, the Proportional-Integral-Derivative (PID) control algorithm. The PID algorithm is used to adjust the operation of the multi-split air-conditioning system according to the energy-saving set temperature and the air temperature to keep the indoor temperature stable within the range of the energy-saving set temperature. Among them, the proportional control part adjusts the control action according to the magnitude of the current error (the difference between the energy-saving set temperature and the actual air temperature), that is, the larger the error, the stronger the control action. The integral control part integrates the error and focuses on the cumulative effect of the error over time, that is, adjusts the control action according to the duration of the error to eliminate the steady-state error. The derivative control part differentiates the rate of change of the error and can predict the change trend of the error, that is, adjusts the control action according to the rate of change of the error to suppress the overshoot and oscillation of the system.

[0153] In some embodiments, the preset control algorithm may be: ΔQ eco_i =f PID (T set_eco_i ,T room_i ) where ΔQ eco_i is the third energy demand request of the current room, f PID is the preset control algorithm, T set_eco_i is the energy-saving set temperature, and T room_i is the air temperature.

[0154] The multi-split air-conditioning system determines the current energy-saving temperature coefficient C of the current room according to the operating mode of the air conditioner indoor unit in the current room, the calibrated temperature parameter of the air conditioner indoor unit in the current room, and the user-set temperature parameter of the air conditioner indoor unit in the current room. 1_iThat is, the multi-connected air-conditioning system compares the difference between the user-set temperature and the calibrated temperature (for example, the difference between 20°C and 26°C is 6°C). If the difference is larger, the energy-saving temperature coefficient is lower (that is, the user-set temperature is less energy-saving), thus quantifying the energy consumption rationality of the current air conditioner.

[0155] Next, the multi-connected air-conditioning system determines the current temperature coefficient activation value C of the current room according to the current energy-saving temperature coefficient, the number of indoor air-conditioning units, the operating mode of each indoor air-conditioning unit, the calibrated temperature parameter of each indoor air-conditioning unit, and the user-set temperature parameter of each indoor air-conditioning unit. 1_i_sigmoid 。

[0156] Then, the multi-connected air-conditioning system determines the energy-saving set temperature T of the current room according to the operating mode of the indoor air-conditioning units in the current room, the power grid status information, the user-set temperature parameter of the indoor air-conditioning units in the current room, and the current temperature coefficient activation value. set_eco_i 。

[0157] Finally, based on the preset control algorithm, the multi-connected air-conditioning system determines the third energy demand request according to the energy-saving set temperature and the air temperature.

[0158] In this way, by analyzing the operating mode, the calibrated temperature parameter, and the user-set temperature parameter of the indoor air-conditioning units in the current room, the system can determine the energy-saving temperature coefficient of the current room, and then determine the current temperature coefficient activation value according to the energy-saving temperature coefficient, thereby determining the energy-saving set temperature according to the current temperature coefficient activation value, and finally determining the third energy demand request of the current room according to the energy-saving set temperature, providing a data basis for the calculation of the subsequent target energy demand and realizing the optimization of the multi-connected air-conditioning system in terms of energy-saving operation.

[0159] Please refer to Figure 6 In some embodiments, the calibrated temperature parameter includes the highest temperature threshold and the lowest temperature threshold of the indoor air-conditioning unit. Step 031 (determining the current energy-saving temperature coefficient of the current room according to the operating mode of the indoor air-conditioning units in the current room, the calibrated temperature parameter of the indoor air-conditioning units in the current room, and the user-set temperature parameter of the indoor air-conditioning units in the current room) includes:

[0160] 0311: In the case where the operating mode is the cooling mode, determine the current energy-saving temperature coefficient according to the highest temperature threshold of the indoor air-conditioning units in the current room and the user-set temperature parameter of the indoor air-conditioning units in the current room;

[0161] 0312: In the case where the operating mode is the heating mode, determine the current energy-saving temperature coefficient according to the lowest temperature threshold of the indoor air-conditioning units in the current room and the user-set temperature parameter of the indoor air-conditioning units in the current room.

[0162] In some embodiments, the controller is further configured to determine the current energy-saving temperature coefficient according to the highest temperature threshold of the air conditioner indoor unit in the current room and the user-set temperature parameter of the air conditioner indoor unit in the current room when the operating mode is the cooling mode. And when the operating mode is the heating mode, determine the current energy-saving temperature coefficient according to the lowest temperature threshold of the air conditioner indoor unit in the current room and the user-set temperature parameter of the air conditioner indoor unit in the current room.

[0163] In some embodiments, the processor is further configured to determine the current energy-saving temperature coefficient according to the highest temperature threshold of the air conditioner indoor unit in the current room and the user-set temperature parameter of the air conditioner indoor unit in the current room when the operating mode is the cooling mode. And when the operating mode is the heating mode, determine the current energy-saving temperature coefficient according to the lowest temperature threshold of the air conditioner indoor unit in the current room and the user-set temperature parameter of the air conditioner indoor unit in the current room.

[0164] Specifically, the current energy-saving temperature coefficient refers to the energy-saving temperature coefficient of the current room when the multi-connected air conditioner system obtains the user-set temperature parameter.

[0165] When the operating mode is the cooling mode, the calculation formula for the energy-saving temperature coefficient is C 1_i =T set_max -T set_i , where T set_max is the highest temperature threshold of the air conditioner indoor unit, and T set_i is the user-set temperature.

[0166] When the operating mode is the cooling mode, the calculation formula for the energy-saving temperature coefficient is C 1_i =T set_i -T set_min , where T set_min is the lowest temperature threshold of the air conditioner indoor unit, and T set_i is the user-set temperature.

[0167] Thus, when the operating mode is the cooling mode, the multi-connected air conditioner system determines the current energy-saving temperature coefficient according to the highest temperature threshold of the air conditioner indoor unit in the current room and the user-set temperature parameter of the air conditioner indoor unit in the current room. Then, when the operating mode is the heating mode, the multi-connected air conditioner system determines the current energy-saving temperature coefficient according to the lowest temperature threshold of the air conditioner indoor unit in the current room and the user-set temperature parameter of the air conditioner indoor unit in the current room. In this way, in the cooling mode and the heating mode, by calculating the difference between the highest temperature threshold and the user-set temperature parameter, and the difference between the lowest temperature threshold and the user-set temperature parameter respectively, the energy-saving temperature coefficient of the current room is accurately determined, thereby providing a data basis for calculating the current temperature coefficient activation value in the subsequent process.

[0168] Please refer to Figure 7 , in some embodiments, step 032 (determine the current temperature coefficient activation value of the current room according to the current energy-saving temperature coefficient, the number of air conditioner indoor units, the operating mode of each air conditioner indoor unit, the calibrated temperature parameter of each air conditioner indoor unit, and the user-set temperature parameter of each air conditioner indoor unit) includes:

[0169] 0321: Determine the energy-saving temperature coefficient of each air conditioner indoor unit according to the operating mode of each air conditioner indoor unit, the calibrated temperature parameter of each air conditioner indoor unit, and the user-set temperature parameter of each air conditioner indoor unit;

[0170] 0322: Determine the average temperature coefficient according to the energy-saving temperature coefficient of each air conditioner indoor unit and the number of air conditioner indoor units;

[0171] 0323: Determine the current temperature coefficient activation value according to the current energy-saving temperature coefficient and the average temperature coefficient.

[0172] In some embodiments, the controller is further configured to determine the energy-saving temperature coefficient of each air conditioner indoor unit according to the operating mode of each air conditioner indoor unit, the calibrated temperature parameter of each air conditioner indoor unit, and the user-set temperature parameter of each air conditioner indoor unit. And determine the average temperature coefficient according to the energy-saving temperature coefficient of each air conditioner indoor unit and the number of air conditioner indoor units. And determine the current temperature coefficient activation value according to the current energy-saving temperature coefficient and the average temperature coefficient.

[0173] In some embodiments, the processor is further configured to determine the energy-saving temperature coefficient of each air conditioner indoor unit according to the operating mode of each air conditioner indoor unit, the calibrated temperature parameter of each air conditioner indoor unit, and the user-set temperature parameter of each air conditioner indoor unit. And determine the average temperature coefficient according to the energy-saving temperature coefficient of each air conditioner indoor unit and the number of air conditioner indoor units. And determine the current temperature coefficient activation value according to the current energy-saving temperature coefficient and the average temperature coefficient.

[0174] Specifically, first, calculate the energy-saving temperature coefficient of each operating air conditioner indoor unit according to the above calculation method of the energy-saving temperature coefficient.

[0175] Next, the multi-connected air conditioner system determines the average temperature coefficient according to the calculated energy-saving temperature coefficients of all operating air conditioner indoor units. The calculation formula is: where N is the number of operating air conditioner indoor units in the multi-connected air conditioner system, and μ is the average temperature coefficient.

[0176] Finally, the multi-connected air conditioner system determines the current temperature coefficient activation value according to the current energy-saving temperature coefficient and the average temperature coefficient. The calculation formula is: where C 1_i_sigmoidThe activation value of the current temperature coefficient in the current room, C 1_i The current energy-saving temperature coefficient in the current room, where e is the natural constant.

[0177] In this way, the multi-split air-conditioning system determines the energy-saving temperature coefficient of each air-conditioning indoor unit according to the operation mode of each air-conditioning indoor unit, the calibrated temperature parameter of each air-conditioning indoor unit, and the user-set temperature parameter of each air-conditioning indoor unit. Then, the multi-split air-conditioning system determines the average temperature coefficient according to the energy-saving temperature coefficient of each air-conditioning indoor unit and the number of air-conditioning indoor units. Finally, the multi-split air-conditioning system determines the activation value of the current temperature coefficient according to the current energy-saving temperature coefficient and the average temperature coefficient. In this way, the activation value of the current temperature coefficient is obtained through calculation, providing data support for the subsequent calculation of the energy-saving set temperature, and helping to control the balance among the user's personalized needs, energy-saving needs, and comfort needs of the multi-split air-conditioning system.

[0178] Please refer to Figure 8 , in some embodiments, the grid status information includes peak power consumption periods, normal power consumption periods, low valley power consumption periods, and ultra-low valley power consumption periods. Step 033 (determining the energy-saving set temperature of the current room according to the operation mode of the air-conditioning indoor unit in the current room, the grid status information, the user-set temperature parameter of the air-conditioning indoor unit in the current room, and the activation value of the current temperature coefficient) includes:

[0179] 0331: Based on the preset operation mode-grid status information-energy-saving correction value correspondence, determine the energy-saving correction value of the air-conditioning indoor unit in the current room according to the operation mode of the air-conditioning indoor unit in the current room and the grid status information;

[0180] 0332: Determine the energy-saving correction temperature of the current room according to the energy-saving correction value and the activation value of the current temperature coefficient;

[0181] 0333: Determine the energy-saving set temperature according to the user-set temperature parameter and the energy-saving correction temperature.

[0182] In some embodiments, the controller is used to determine the energy-saving correction value of the air-conditioning indoor unit in the current room based on the preset operation mode-grid status information-energy-saving correction value correspondence according to the operation mode of the air-conditioning indoor unit in the current room and the grid status information. And determine the energy-saving correction temperature of the current room according to the energy-saving correction value and the activation value of the current temperature coefficient. And determine the energy-saving set temperature according to the user-set temperature parameter and the energy-saving correction temperature.

[0183] In some embodiments, the processor is further configured to determine the energy-saving correction value of the air conditioner indoor unit in the current room based on the preset operation mode - power grid state information - energy-saving correction value correspondence, according to the operation mode of the air conditioner indoor unit in the current room and the power grid state information. And determine the energy-saving corrected temperature of the current room according to the energy-saving correction value and the current temperature coefficient activation value. And determine the energy-saving set temperature according to the user-set temperature parameter and the energy-saving corrected temperature.

[0184] Specifically, the preset operation mode - power grid state information - energy-saving correction value correspondence refers to a mapping table pre-configured in the multi-split air conditioner system, which is used to clarify the energy-saving correction value E of the air conditioner indoor unit under different air conditioner operation modes (such as cooling mode and heating mode) and power grid states (such as peak power consumption period, normal power consumption period, low valley power consumption period, and super low valley power consumption period). Among them, the power grid state information is determined through networked data, that is, the multi-split air conditioner system is connected to the power grid through a communication network to obtain the operation state and load situation of the power grid in real time. In some embodiments, the preset operation mode - power grid state information - energy-saving correction value correspondence may be as shown in Table 4:

[0185] Table 4

[0186]

[0187] First, based on the preset operation mode - power grid state information - energy-saving correction value correspondence, the multi-split air conditioner system determines the energy-saving correction value E of the air conditioner indoor unit in the current room according to the operation mode of the air conditioner indoor unit in the current room and the power grid state information. In this way, it helps the multi-split air conditioner system to adjust the operation strategy under different power grid load conditions and achieve higher energy-saving effects.

[0188] Next, the multi-split air conditioner system determines the energy-saving corrected temperature of the current room according to the energy-saving correction value and the current temperature coefficient activation value. The calculation formula is: T bias_i = C 1_i_sigmoid ·E, where T bias_i is the energy-saving corrected temperature of the current room, C 1_i_sigmoid is the current temperature coefficient activation value, and E is the energy-saving correction value E of the air conditioner indoor unit in the current room.

[0189] Finally, the multi-split air conditioner system determines the energy-saving set temperature T set_eco_i . The calculation formula is: T set_eco_i = T set_i + T bias , where T set_eco_i is the energy-saving set temperature, and T set_i is the user-set temperature.

[0190] Thus, based on the correspondence between the preset operating mode - grid status information - energy-saving correction value, the multi-split air-conditioning system determines the energy-saving correction value of the air conditioner indoor unit in the current room according to the operating mode and grid status information of the air conditioner indoor unit in the current room. Next, the multi-split air-conditioning system determines the energy-saving corrected temperature of the current room according to the energy-saving correction value and the current temperature coefficient activation value. Finally, the multi-split air-conditioning system determines the energy-saving set temperature according to the user-set temperature parameter and the energy-saving corrected temperature. In this way, by calculating the energy-saving set temperature, it can provide a data basis for the subsequent calculation of the third energy demand request of the current room, which helps to control the balance between the personalized needs, energy-saving needs and comfort needs of the multi-split air-conditioning system.

[0191] Please refer to Figure 9 , in some embodiments, step 04 (determining the target energy demand of the current room based on the first energy demand request, the second energy demand request, and the third energy demand request to control the multi-split air-conditioning system) includes:

[0192] 041: Based on the preset control mode - weight correspondence, according to the control mode of the air conditioner indoor unit, determine the first weight corresponding to the first energy demand request, the second weight corresponding to the second energy demand request, and the third weight corresponding to the third energy demand request;

[0193] 042: According to the first weight, the second weight, the third weight, the first energy demand request, the second energy demand request, and the third energy demand request, determine the target energy demand request of the current room;

[0194] 043: According to the initial energy demand and the target energy demand request of the current room, determine the target energy demand;

[0195] 044: Control the multi-split air-conditioning system according to the target energy demand.

[0196] In some embodiments, the multi-split air-conditioning system further includes a control module. The controller is used to determine the first weight corresponding to the first energy demand request, the second weight corresponding to the second energy demand request, and the third weight corresponding to the third energy demand request based on the preset control mode - weight correspondence according to the control mode of the air conditioner indoor unit. And determine the target energy demand request of the current room according to the first weight, the second weight, the third weight, the first energy demand request, the second energy demand request, and the third energy demand request. And determine the target energy demand according to the initial energy demand and the target energy demand request of the current room. The control module is used to control the multi-split air-conditioning system according to the target energy demand.

[0197] In some embodiments, the processor is further configured to determine a first weight corresponding to the first energy demand request, a second weight corresponding to the second energy demand request, and a third weight corresponding to the third energy demand request based on a preset control mode-weight correspondence relationship according to the control mode of the air conditioner indoor unit. And determine the target energy demand request of the current room according to the first weight, the second weight, the third weight, the first energy demand request, the second energy demand request, and the third energy demand request. The processor is further configured to determine the target energy demand according to the initial energy demand and the target energy demand request of the current room. And control the multi-connected air conditioner system according to the target energy demand.

[0198] Specifically, the control modes include a standard mode, a performance mode, an energy-saving mode, and a comfort mode. Under different control modes, the functions achieved by the air conditioner indoor unit have different focuses. The standard mode is a control mode that balances energy efficiency and user comfort. The performance mode is a control mode that focuses on the performance of the air conditioner. The energy-saving mode is a control mode that focuses on the energy-saving effect. The comfort mode is a control mode that focuses on the user's thermal comfort.

[0199] The preset control mode-weight correspondence relationship refers to a set of mapping tables pre-configured in the multi-connected air conditioner system, which is used to clarify the weight distribution ratio of each dimension of energy demand requests (such as user personalized needs, comfort needs, and energy-saving needs, etc.) in the comprehensive decision-making under different air conditioner control modes (such as the standard mode, the performance mode, the energy-saving mode, and the comfort mode, etc.). In some embodiments, the preset control mode-weight correspondence relationship may be as shown in Table 5:

[0200] Table 5

[0201] Mode Standard Mode Performance Mode Energy Saving Mode Comfort Mode <![CDATA[w r > <![CDATA[w r 1]]> <![CDATA[w r 2]]> <![CDATA[w r 3]]> <![CDATA[w r 4]]> <![CDATA[w PMV > <![CDATA[w PMV 1]]> <![CDATA[w PMV 2]]> <![CDATA[w PMV 3]]> <![CDATA[w PMV 4]]> <![CDATA[w eco > <![CDATA[w eco 1]]> <![CDATA[w eco 2]]> <![CDATA[w eco 3]]> <![CDATA[w eco 4]]>

[0202] where, w r is used to represent the first weight corresponding to the first energy demand request, w PMV is used to represent the second weight corresponding to the second energy demand request, w eco is used to represent the third weight corresponding to the third energy demand request.

[0203] First, based on the preset control mode-weight correspondence relationship, the multi-connected air conditioner system determines the first weight corresponding to the first energy demand request, the second weight corresponding to the second energy demand request, and the third weight corresponding to the third energy demand request according to the control mode of the air conditioner indoor unit.

[0204] Next, the multi-connected air conditioner system determines the target energy demand request Δq total_i of the current room according to the first weight, the second weight, the third weight, the first energy demand request, the second energy demand request, and the third energy demand request. The calculation formula is: Δq total_i = w r ·ΔQ r_i + wPMV ·ΔQ PMVs_i +w eco ·ΔQ eco_i 。

[0205] Then, the multi-connected air-conditioning system determines the target energy demand Q i 2 according to the initial energy demand Q i 1 of the current room and the target energy demand request. The calculation formula is: Q i 2 = Q i 1 + ΔQ total_i . It should be noted that each operating air-conditioning indoor unit will perform iterative calculations on the required target energy demand. That is, after each preset time period, each operating air-conditioning indoor unit will periodically calculate the second target energy demand request ΔQ total_i-2 at the current time of the preset time period of the previous time interval, and add it to the target energy demand Q2 of the previous time to calculate the second target energy demand Q i 3 = Q i 2 + ΔQ total_i-2 . Among them, the second target energy demand request does not specifically refer to a certain specific target energy demand request, but refers to all energy demand requests calculated after the initially calculated target energy demand request. The second target energy demand also does not specifically refer to a certain specific target energy demand, but refers to the energy demand required by the air-conditioning indoor unit at the current time calculated after the initially calculated target energy demand.

[0206] Finally, each air-conditioning indoor unit uploads its required target energy demand to the outdoor air-conditioning host. The outdoor air-conditioning host calculates the total target energy demand based on all the received target energy demands, that is Subsequently, the outdoor air-conditioning host reports the total power demand (calculated based on the total target energy demand), and after the power grid provides the corresponding electric energy, it provides the energy corresponding to each target energy demand to each operating air-conditioning indoor unit.

[0207] In this way, based on the preset control mode-weight correspondence relationship, the multi-split air conditioning system determines the first weight corresponding to the first energy demand request, the second weight corresponding to the second energy demand request, and the third weight corresponding to the third energy demand request according to the control mode of the air-conditioning indoor unit, and the control mode includes standard mode, performance mode, energy-saving mode and comfort mode. Then, the multi-split air conditioning system determines the target energy demand request of the current room according to the first weight, the second weight, the third weight, the first energy demand request, the second energy demand request and the third energy demand request. Then, the multi-split air conditioning system determines the target energy demand according to the initial energy demand and the target energy demand request of the current room. Finally, the multi-split air conditioning system controls the multi-split air conditioning system according to the target energy demand. In this way, by combining the first weight, the second weight, the third weight and the first energy demand request, the second energy demand request and the third energy demand request, the multi-split air conditioning system can accurately determine the target energy demand request of the current room, and the multi-split air conditioning system can achieve accurate energy distribution, so as to meet the personalized needs of users while taking into account the user comfort and the energy-saving effect of the system, and achieve a balance between human comfort needs and energy-saving goals.

[0208] The present application also provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the steps of the control method of the multi-split air conditioning system described above are implemented.

[0209] It is understood that a computer program includes computer program code. The computer program code may be in source code form, object code form, executable file or some intermediate form. Computer readable storage media may include: any entity or device capable of carrying computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), and software distribution medium.

[0210] In the description of this specification, the descriptions with reference to the terms "specifically", "further", "particularly", "understandably", etc. are intended to mean that the specific features, structures, materials or characteristics described in conjunction with the embodiments or examples are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms are not intended to refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, unless they are contradictory.

[0211] Any process or method description, whether in a flowchart or otherwise described herein, can be understood to represent a module, segment, or portion of executable instructions including one or more steps for implementing a particular logical function or process. The scope of the preferred embodiments of the present application includes additional implementations where functions may be executed not in the order shown or discussed, including substantially concurrently or in reverse order depending on the functions involved, which should be understood by those skilled in the art to which the embodiments of the present application pertain.

[0212] Although the embodiments of the present application have been shown and described above, it is to be understood that the above embodiments are exemplary and should not be construed as limiting the present application. Those of ordinary skill in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of the present application.

Claims

1. A control method for a multi-connected air-conditioning system, characterized in that, The method includes: Determining a first energy demand request for the current room according to a user-set temperature parameter and a first environmental parameter of the current room; Determining a second energy demand request for the current room according to a second environmental parameter; Determining a third energy demand request for the current room according to the number of air-conditioning indoor units in operation in the multi-connected air-conditioning system, the operation mode of each air-conditioning indoor unit, the calibrated temperature parameter of each air-conditioning indoor unit, the user-set temperature parameter of each air-conditioning indoor unit, a third environmental parameter, and grid status information, where the operation mode includes a cooling mode and a heating mode; Determining a target energy demand for the current room according to the first energy demand request, the second energy demand request, and the third energy demand request to control the multi-connected air-conditioning system.

2. The method according to claim 1, wherein The first environmental parameter includes the air temperature of the current room, and determining the first energy demand request for the current room according to the user-set temperature parameter and the first environmental parameter of the current room includes: Determining the user-set temperature parameter according to the user's temperature setting operation; Determining the air temperature based on a preset temperature sensor; Determining the first energy demand request based on a preset control algorithm according to the user-set temperature parameter and the air temperature.

3. The method according to claim 1, wherein The second environmental parameter includes the air temperature, air humidity, and mean radiant temperature of the current room, and determining the second energy demand request for the current room according to the second environmental parameter includes: Determining the average wind speed of the current room according to the fan speed of the indoor air conditioner based on a preset fan speed-average wind speed correspondence; Determining the current clothing thermal resistance based on a preset season-typical clothing thermal resistance correspondence; Determining the human activity data of the current room based on a preset infrared sensor; Determining the current metabolic rate according to the human activity data based on a preset activity state-metabolic rate correspondence; Determining the current thermal comfort index based on a preset thermal comfort index algorithm according to the air temperature, the air humidity, the mean radiant temperature, the average wind speed, the current clothing thermal resistance, and the current metabolic rate; Determining the second energy demand request according to the operation mode and the current thermal comfort index based on a preset thermal comfort index-second energy demand request correspondence.

4. The method according to claim 1, wherein The third environmental parameter includes the air temperature of the current room, and determining the third energy demand request for the current room according to the number of air-conditioning indoor units in operation in the multi-connected air-conditioning system, the operation mode of each air-conditioning indoor unit, the calibrated temperature parameter of each air-conditioning indoor unit, the user-set temperature parameter of each air-conditioning indoor unit, a third environmental parameter, and grid status information includes: Determining the current energy-saving temperature coefficient of the current room according to the operation mode of the air-conditioning indoor unit in the current room, the calibrated temperature parameter of the air-conditioning indoor unit in the current room, and the user-set temperature parameter of the air-conditioning indoor unit in the current room; Determine the current temperature coefficient activation value of the current room according to the current energy-saving temperature coefficient, the number of indoor air conditioners, the operating mode of each indoor air conditioner, the calibrated temperature parameter of each indoor air conditioner, and the user-set temperature parameter of each indoor air conditioner; Determine the energy-saving set temperature of the current room according to the operating mode of the indoor air conditioner in the current room, the power grid status information, the user-set temperature parameter of the indoor air conditioner in the current room, and the current temperature coefficient activation value; Based on a preset control algorithm, determine the third energy demand request according to the energy-saving set temperature and the air temperature.

5. The method according to claim 4, wherein The calibrated temperature parameter includes the highest temperature threshold and the lowest temperature threshold of the indoor air conditioner. The determining of the current energy-saving temperature coefficient of the current room according to the operating mode of the indoor air conditioner in the current room, the calibrated temperature parameter of the indoor air conditioner in the current room, and the user-set temperature parameter of the indoor air conditioner in the current room includes: When the operating mode is the cooling mode, determine the current energy-saving temperature coefficient according to the highest temperature threshold of the indoor air conditioner in the current room and the user-set temperature parameter of the indoor air conditioner in the current room; When the operating mode is the heating mode, determine the current energy-saving temperature coefficient according to the lowest temperature threshold of the indoor air conditioner in the current room and the user-set temperature parameter of the indoor air conditioner in the current room.

6. The method according to claim 4, wherein The determining of the current temperature coefficient activation value of the current room according to the current energy-saving temperature coefficient, the number of indoor air conditioners, the operating mode of each indoor air conditioner, the calibrated temperature parameter of each indoor air conditioner, and the user-set temperature parameter of each indoor air conditioner includes: Determine the energy-saving temperature coefficient of each indoor air conditioner according to the operating mode of each indoor air conditioner, the calibrated temperature parameter of each indoor air conditioner, and the user-set temperature parameter of each indoor air conditioner; Determine the average temperature coefficient according to the energy-saving temperature coefficient of each indoor air conditioner and the number of indoor air conditioners; Determine the current temperature coefficient activation value according to the current energy-saving temperature coefficient and the average temperature coefficient.

7. The method according to claim 4, wherein The power grid status information includes peak power consumption period, normal power consumption period, low power consumption period, and ultra-low power consumption period. The determining of the energy-saving set temperature of the current room according to the operating mode of the indoor air conditioner in the current room, the power grid status information, the user-set temperature parameter of the indoor air conditioner in the current room, and the current temperature coefficient activation value includes: Based on the preset operating mode-power grid status information-energy-saving correction value correspondence, determine the energy-saving correction value of the indoor air conditioner in the current room according to the operating mode of the indoor air conditioner in the current room and the power grid status information; Determine the energy-saving corrected temperature of the current room according to the energy-saving correction value and the current temperature coefficient activation value; Determine the energy-saving set temperature according to the user-set temperature parameter and the energy-saving corrected temperature.

8. The method according to claim 1, characterized in that Determining the target energy demand of the current room according to the first energy demand request, the second energy demand request, and the third energy demand request to control the multi-split air conditioning system includes: Based on a preset control mode-weight correspondence relationship, determining a first weight corresponding to the first energy demand request, a second weight corresponding to the second energy demand request, and a third weight corresponding to the third energy demand request according to the control mode of the air conditioner indoor unit, where the control modes include a standard mode, a performance mode, an energy-saving mode, and a comfort mode; Determining the target energy demand request of the current room according to the first weight, the second weight, the third weight, the first energy demand request, the second energy demand request, and the third energy demand request; Determining the target energy demand according to the initial energy demand of the current room and the target energy demand request; Controlling the multi-split air conditioning system according to the target energy demand.

9. A multi-connected air conditioning system, characterized in that, The multi-split air conditioning system includes an air conditioner outdoor host, a plurality of air conditioner indoor units, and a controller, and the controller is configured to: Determine the first energy demand request of the current room according to the user-set temperature parameter and the first environmental parameter of the current room; Determine the second energy demand request of the current room according to the second environmental parameter; Determine the third energy demand request of the current room according to the number of air conditioner indoor units in operation in the multi-split air conditioning system, the operation mode of each air conditioner indoor unit, the calibrated temperature parameter of each air conditioner indoor unit, the user-set temperature parameter of each air conditioner indoor unit, the third environmental parameter, and the power grid status information, where the operation mode includes a cooling mode and a heating mode; Determine the target energy demand of the current room according to the first energy demand request, the second energy demand request, and the third energy demand request to control the multi-split air conditioning system.

10. A multi-connected air conditioning system, characterized in that, Including a memory and a processor, where a computer program is stored in the memory, and when the computer program is executed by the processor, the method according to any one of claims 1-8 is implemented.

11. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program, and when the computer program is executed by one or more processors, the method according to any one of claims 1-8 is implemented.

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