Control method, controller, multi-connected system and storage medium for multi-connected system

Abstract

The embodiment of the present application proposes a control method, controller, multi-split system and storage medium for a multi-split system, including: determining the number of target indoor units in operation from multiple indoor units; obtaining the perception information and the change in the energy demand of the internal function of each target indoor unit within the control cycle; determining the tolerance parameter of each target indoor unit based on the multiple perception information; determining the change in the energy demand of the external function of the multi-split system based on the number of indoor units, the multiple tolerance parameters and the change in the energy demand of the internal function, and controlling the outdoor unit based on the change in the energy demand of the external function. Since the embodiment of the present application introduces the tolerance parameter, it is possible to judge the degree of collinearity between the multiple perception information, and also adjust the change in the energy demand of the external function of the outdoor unit based on the tolerance parameter and the change in the energy demand of the internal function, thereby making the control more stable, avoiding the control oscillation problem when perception resonance occurs when multiple indoor units are located in the same environmental space, and improving the user experience.

Description

Technical Field

[0001] The present application relates to the technical field of multi-split systems, and in particular to a control method, a controller, a multi-split system, and a storage medium for a multi-split system. Background Art

[0002] In the prior art, for larger spaces, such as those with integrated open kitchens and living and dining rooms, a single indoor unit can't cover these complex spaces. Consequently, multiple indoor units are increasingly being installed in a single room, for example, two or three air conditioner units. However, when multiple indoor units are installed in the same space, sensor resonance is very likely to occur. Current multi-split systems don't recognize sensor resonance, so their control rules, affected by sensor oscillations, can continue to oscillate, leading to numerous user complaints. Summary of the Invention

[0003] This application aims to solve at least one of the technical problems existing in the prior art. To this end, this application proposes a control method, controller, multi-split system, and storage medium for a multi-split system, aiming to avoid the control oscillation problem caused by sensory resonance when multiple indoor units are located in the same environmental space, achieve multi-split control optimization, and improve user experience.

[0004] In a first aspect, an embodiment of the present application provides a control method for a multi-split system, wherein the multi-split system includes an outdoor unit and multiple indoor units, wherein the multiple indoor units are installed in the same environment space; the method includes:

[0005] determining the number of target indoor units in operation from the plurality of indoor units;

[0006] Acquiring sensing information and required change of indoor function of each target indoor unit during a control period;

[0007] determining a tolerance parameter of each target indoor unit according to the plurality of perception information, wherein the tolerance parameter is used to characterize the degree of collinearity between the plurality of perception information;

[0008] The outdoor unit energy demand variation of the multi-split system is determined according to the number of indoor units, a plurality of tolerance parameters and the indoor unit energy demand variation, and the outdoor unit is controlled based on the outdoor unit energy demand variation.

[0009] According to some embodiments of the present application, determining the tolerance parameter of each target indoor unit according to the plurality of perception information includes:

[0010] For each of the target indoor units, performing statistical analysis on the plurality of sensing information to obtain a determination coefficient;

[0011] A tolerance parameter of each target indoor unit is determined according to the determination coefficient.

[0012] According to some embodiments of the present application, for each target indoor unit, performing statistical analysis on the plurality of perception information to obtain a determination coefficient includes:

[0013] For each target indoor unit, taking the perception information of the target indoor unit as dependent variable perception information, and taking the perception information of other target indoor units as independent variable perception information;

[0014] A regression analysis is performed on the dependent variable perception information and the independent variable perception information to obtain a determination coefficient of the target indoor unit.

[0015] According to some embodiments of the present application, the tolerance parameter is calculated using the following formula:

[0016]

[0017] Among them, the Tolerance i is the tolerance parameter, i is a positive integer and is less than or equal to the number of indoor units, is the determination coefficient.

[0018] According to some embodiments of the present application, one of the following is included:

[0019] There is a negative correlation between the difference between the tolerance parameter and the value zero and the degree of collinearity of the sensing information of the plurality of target indoor units;

[0020] There is a positive correlation between the difference between the value 1 and the tolerance parameter and the collinearity degree of the perception information of the plurality of target indoor units.

[0021] According to some embodiments of the present application, determining the energy requirement change of the external function of the multi-split system based on the number of internal units, the plurality of tolerance parameters, and the energy requirement change of the internal function includes:

[0022] For each of the target indoor units, determining an energy demand coefficient according to the number of indoor units and the tolerance parameter;

[0023] The energy demand variation of the external functions of the multi-split system is determined according to the number of the internal units, a plurality of the energy demand coefficients and the energy demand variation of the internal functions.

[0024] According to some embodiments of the present application, the energy demand coefficient is calculated using the following formula:

[0025]

[0026] Wherein, the η i is the energy demand coefficient, N is the number of indoor units, and Tolerance i is the tolerance parameter, and i is a positive integer and is less than or equal to the number of internal units.

[0027] According to some embodiments of the present application, the change in energy demand of the external machine is calculated using the following formula:

[0028]

[0029] Wherein, ΔEtotal is the change in energy demand of the external unit, N is the number of the internal units, i is a positive integer less than or equal to the number of the internal units, and η i is the energy demand coefficient, the ΔE i It is the required change of the internal function.

[0030] According to some embodiments of the present application, the method further includes:

[0031] For each target indoor unit, after obtaining the plurality of perception information, the plurality of perception information is arranged in chronological order to obtain a time series including the plurality of perception information.

[0032] According to some embodiments of the present application, the perception information includes at least one of the following: temperature information and humidity information.

[0033] In a second aspect, an embodiment of the present application provides a controller comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the control method for the multi-connected system according to the first aspect described above is executed.

[0034] In a third aspect, an embodiment of the present application provides a multi-connected system, comprising a controller as described in the second aspect above.

[0035] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium storing computer-executable instructions, wherein the computer-executable instructions are used to execute the control method of the multi-connected system as described in the first aspect above.

[0036] In a fifth aspect, an embodiment of the present application provides a computer program product, comprising a computer program or computer instructions, characterized in that the computer program or the computer instructions are stored in a computer-readable storage medium, a processor of a computer device reads the computer program or the computer instructions from the computer-readable storage medium, and the processor executes the computer program or the computer instructions, so that the computer device executes the control method of the multi-connected system as described in the first aspect above.

[0037] According to the technical solution of the embodiment of the present application, there are at least the following beneficial effects: First, the embodiment of the present application determines the number of target indoor units in operation from multiple indoor units; then, the embodiment of the present application obtains the sensory information and the change in the internal function energy demand of each target indoor unit during the control cycle; then, based on the multiple sensory information, a tolerance parameter is determined for each target indoor unit, wherein the tolerance parameter is used to characterize the degree of collinearity between the multiple sensory information; finally, the embodiment of the present application determines the change in the external function energy demand of the multi-split system based on the number of indoor units, the multiple tolerance parameters, and the change in the internal function energy demand, and controls the outdoor unit based on the change in the external function energy demand. Since the embodiment of the present application introduces the tolerance parameter, it is possible to determine the degree of collinearity between the multiple sensory information, and also adjust the change in the external function energy demand of the outdoor unit based on the tolerance parameter and the change in the internal function energy demand, thereby making the control more stable. Therefore, the embodiment of the present application can avoid the control oscillation problem when sensory resonance occurs when multiple indoor units are located in the same environmental space, achieve multi-split control optimization, and improve user experience.

[0038] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become obvious from the description below, or will be learned through practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] The accompanying drawings are used to provide a further understanding of the technical solution of the present application and constitute a part of the specification. Together with the embodiments of the present application, they are used to explain the technical solution of the present application and do not constitute a limitation on the technical solution of the present application.

[0040] Figure 1 This is a flow chart of a control method for a multi-connected system provided by an embodiment of the present application;

[0041] Figure 2 is a flow chart of a control method for a multi-connected system provided by another embodiment of the present application;

[0042] Figure 3 is a flow chart of a control method for a multi-connected system provided by another embodiment of the present application;

[0043] Figure 4 is a flow chart of a control method for a multi-connected system provided by another embodiment of the present application;

[0044] Figure 5 This is an overall flow chart of a control method for a multi-connected system provided by an embodiment of the present application;

[0045] Figure 6 1 is a schematic diagram of a controller for executing a control method for a multi-connected system provided in one embodiment of the present application. DETAILED DESCRIPTION

[0046] The following describes in detail embodiments of the present application. Examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present application and are not to be construed as limiting the present application.

[0047] In the description of this application, it should be understood that descriptions involving orientations, such as up, down, front, back, left, right, etc., indicating orientations or positional relationships, are based on the orientations or positional relationships shown in the accompanying drawings. They are only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation. Therefore, they cannot be understood as limitations on this application.

[0048] In the description of this application, "several" means one or more, "many" means more than two, "greater than," "less than," and "exceed" are understood to exclude the number itself, while "above," "below," and "within" are understood to include the number itself. The terms "first" and "second" are used solely to distinguish technical features and are not to be construed as indicating or implying relative importance, or as implicitly specifying the number or order of the technical features indicated.

[0049] In the description of this application, unless otherwise clearly defined, terms such as setting, installing, and connecting should be understood in a broad sense, and technicians in the relevant technical field can reasonably determine the specific meanings of the above terms in this application based on the specific content of the technical solution.

[0050] In some cases, for larger spaces, such as open kitchens and integrated living and dining rooms, a single indoor unit can't cover these complex spaces. Consequently, multiple indoor units are increasingly being installed in a single room, for example, two or three air conditioner units. However, when multiple indoor units are installed in the same space, sensor resonance is very likely to occur. Current VRF systems don't recognize sensor resonance, so their control rules can continue to oscillate due to sensor oscillation, leading to numerous user complaints.

[0051] It should be noted that perceptual resonance refers to a phenomenon in which the corresponding control system experiences control oscillations when the perceptions of multiple devices are highly collinear in their changes.

[0052] Based on the above situation, the embodiment of the present application proposes a control method, controller, multi-split system and storage medium for a multi-split system, aiming to avoid the control oscillation problem when multiple indoor units are located in the same environmental space and perceive resonance, thereby achieving multi-split control optimization and improving user experience.

[0053] The following further describes various embodiments of the multi-connected system of the present application in conjunction with the accompanying drawings.

[0054] In one embodiment, the multi-split system includes but is not limited to an outdoor unit and multiple indoor units, wherein the multiple indoor units are installed in the same environmental space, such as the same room or a complex space.

[0055] Based on the hardware structure of the multi-split system in each of the above embodiments, various embodiments of the control method of the multi-split system of the present application are respectively proposed below.

[0056] like Figure 1 As shown, Figure 1 1 is a flowchart of a control method for a multi-split system provided by an embodiment of the present application; the control method for the multi-split system may include but is not limited to step S110, step S120, step S130 and step S140.

[0057] Step S110: determining the number of target indoor units in operation from among the multiple indoor units;

[0058] Step S120: Acquire the sensing information and required change of the indoor function of each target indoor unit during the control period;

[0059] Step S130: determining a tolerance parameter of each target indoor unit according to the plurality of sensing information, wherein the tolerance parameter is used to characterize the degree of collinearity between the plurality of sensing information;

[0060] Step S140: determining the energy demand variation of the outdoor units of the multi-split system according to the number of indoor units, multiple tolerance parameters and the energy demand variation of the indoor units, and controlling the outdoor units based on the energy demand variation of the outdoor units.

[0061] In one embodiment, first, when multiple indoor units are installed in the same environmental space, target indoor units in operation are screened out from the multiple indoor units, and the number of target indoor units in operation in the same environmental space is counted; then, within a control cycle, the perception information of each target indoor unit and the required change in the internal function energy of each target indoor unit are obtained; then, for each target indoor unit, the tolerance parameter corresponding to the target indoor unit is calculated based on multiple perception information; finally, the required change in the external function energy of the outdoor unit is calculated based on the number of indoor units, multiple tolerance parameters and the required change in the internal function energy, thereby achieving smooth control of the multi-connected system.

[0062] In one embodiment, the above-mentioned perception information may be temperature information, humidity information, or other environmental parameter information, which is not specifically limited in this embodiment of the present application.

[0063] It's worth noting that the present embodiment introduces a tolerance parameter, which allows for determining the degree of collinearity between multiple sensory information. It also adjusts the outdoor unit's external energy demand variation based on this tolerance parameter and the indoor unit's energy demand variation, thereby ensuring smoother control. Therefore, the present embodiment can avoid control oscillation issues associated with sensory resonance when multiple indoor units are located in the same environment, optimizing multi-split control and improving the user experience.

[0064] In one embodiment, the manner of controlling the outdoor unit based on the change in the outdoor unit energy demand in step S140 may include but is not limited to the following:

[0065] The first control method: For variable-frequency multi-split air conditioners, it automatically adjusts the compressor's operating frequency based on the indoor unit's load, thereby varying the compressor's speed and refrigerant flow rate, achieving stepless regulation of the outdoor unit's output capacity. When the indoor unit's load decreases, the inverter reduces the compressor's operating frequency, reducing the refrigerant flow rate and thus lowering the outdoor unit's energy demand. Conversely, when the indoor unit's load increases, the inverter increases the compressor's operating frequency, increasing the refrigerant flow rate and boosting the outdoor unit's energy demand.

[0066] The second control method is to change the heat exchange efficiency of the outdoor heat exchanger by changing the outdoor unit's fan speed, thereby changing the outdoor unit's energy demand. When the fan speed is increased, the air flow rate increases, the heat exchange efficiency improves, and the heat can be dissipated to the outside or absorbed from the outside more quickly, increasing the outdoor unit's energy demand. Conversely, when the fan speed is reduced, the heat exchange efficiency decreases, and the outdoor unit's energy demand decreases accordingly.

[0067] The third control method: By adjusting the opening of the electronic expansion valve, the refrigerant flow and circulation volume in the VRF system can be controlled, thereby affecting the heat exchange effect and output capacity of the outdoor unit. When the indoor unit load changes, the system automatically adjusts the opening of the electronic expansion valve according to the needs of each indoor unit, changing the refrigerant flow rate to match the outdoor unit's energy demand with the total indoor unit load.

[0068] In addition, if Figure 2 As shown, Figure 2 This is a flowchart of a method for controlling a multi-connected system provided by another embodiment of the present application; regarding the above-mentioned step S130, it may include but is not limited to step S210 and step S220.

[0069] Step S210: For each target indoor unit, statistically analyze the plurality of sensing information to obtain a determination coefficient;

[0070] Step S220: Determine the tolerance parameter of each target indoor unit according to the determination coefficient.

[0071] In one embodiment, the calculation process of the tolerance parameter is as follows: for each target indoor unit, statistical analysis is performed based on the perception information of the target indoor unit and the perception information of the remaining target indoor units to calculate the determination coefficient, and then the determination coefficient is input into the calculation formula or calculation model to calculate the tolerance parameter of each target indoor unit.

[0072] In one embodiment, the tolerance parameter can be calculated by the following formula:

[0073]

[0074] Among them, Tolerance i is the tolerance parameter, i is a positive integer and is less than or equal to the number of internal units, is the coefficient of determination.

[0075] In one embodiment, the control method of the multi-connected system further includes one of the following:

[0076] There is a negative correlation between the difference between the tolerance parameter and the value zero and the degree of collinearity of the perception information of multiple target indoor units; for example, if Tolerance i If it is close to 0, it means that there is serious collinearity between the perception information of the target indoor unit and the perception information of other target indoor units.

[0077] There is a positive correlation between the difference between the value 1 and the tolerance parameter and the degree of collinearity of the perception information of multiple target indoor units; for example, if Tolerance i It is close to 1, indicating that the perception information of the target indoor unit has almost no collinearity and is relatively independent.

[0078] In addition, if Figure 3 As shown, Figure 3 This is a flowchart of a method for controlling a multi-connected system provided by another embodiment of the present application; regarding the above-mentioned step S210, it may include but is not limited to step S310 and step S320.

[0079] Step S310: For each target indoor unit, the perception information of the target indoor unit is used as the dependent variable perception information, and the perception information of other target indoor units is used as the independent variable perception information;

[0080] Step S320: Perform regression analysis on the dependent variable perception information and the independent variable perception information to obtain the determination coefficient of the target indoor unit.

[0081] In one embodiment, the calculation process of the determination coefficient is as follows: for each target indoor unit, its perception information is used as the dependent variable, and the perception information of other target indoor units is used as the independent variable. Then, regression analysis is performed based on the dependent variable and the independent variable to calculate the determination coefficient of the target indoor unit.

[0082] Regression analysis is a part of statistical analysis used for inferential statistics. It primarily studies the relationships between variables, such as the relationship between dependent and independent variables. Regression analysis can analyze correlations between variables, predict future trends, and explain changes in data.

[0083] In addition, if Figure 4 As shown, Figure 4 This is a flowchart of a method for controlling a multi-connected system provided by another embodiment of the present application; regarding the above-mentioned step S140, it may include but is not limited to step S410 and step S420.

[0084] Step S410: For each target indoor unit, determine the energy demand coefficient according to the number of indoor units and the tolerance parameter;

[0085] Step S420: Determine the energy demand variation of the external functions of the multi-split system according to the number of internal units, the multiple energy demand coefficients, and the energy demand variation of the internal functions.

[0086] In one embodiment, first, the energy demand coefficient can be calculated by the following formula:

[0087]

[0088] Among them, η i is the energy demand coefficient, N is the number of indoor units, Tolerance i is the tolerance parameter, i is a positive integer and is less than or equal to the number of internal units.

[0089] Next, after calculating the energy demand coefficient of each target indoor unit, the embodiment of the present application can continue to calculate the outdoor unit energy demand change using the following formula:

[0090]

[0091] Among them, ΔEtotal is the change in external energy demand, ΔE i The change required for internal function.

[0092] In one embodiment, the method further includes: for each target indoor unit, after obtaining multiple sensing information, arranging the multiple sensing information in chronological order to obtain a time series including the multiple sensing information. Then, the tolerance of each time series can be calculated. i, thereby judging the collinearity degree of the perception information of each target indoor unit.

[0093] Based on the control methods of the multi-split system of each of the above embodiments, overall embodiments of the control methods of the multi-split system of the present application are respectively proposed below.

[0094] like Figure 5 As shown, Figure 5 This is an overall flow chart of a control method for a multi-connected system provided by an embodiment of the present application.

[0095] In one embodiment, the overall control method of the multi-connected system may include but is not limited to step S510, step S521, step S522, step S523, step S524, step S530, step S541 and step S542.

[0096] Step S510, start.

[0097] Step S521: Obtain the number of running indoor units; specifically, obtain the number N of indoor units currently running.

[0098] Step S522: collect the sensing information of the indoor units and form a time series. Specifically, for the N indoor units of the multi-link system, collect their sensing information, such as indoor temperature, and form N time series, which are recorded as T1, T2, ..., TN.

[0099] Step S523: Calculate the tolerance parameter of each time series with a period window; specifically, calculate the tolerance parameter of each time series with a period window T, for example, T = 60 minutes as the time interval. i (i=1,…,N), to determine the degree of collinearity of the perception information of the internal machine.

[0100] Among them, the tolerance parameter Coefficient of determination It is the determination coefficient obtained by performing a regression analysis with the perception information of a certain internal machine as the dependent variable and the perception information of other internal machines as independent variables.

[0101] If Tolerance i If it is close to 0, it means that there is serious collinearity between the internal machine perception information and other internal machine perception information.

[0102] If Tolerance i It is close to 1, indicating that the internal machine perception information has almost no collinearity and is relatively independent.

[0103] Step S524: Calculate the energy demand coefficient of each indoor unit according to the tolerance parameter; Specifically, calculate the energy demand coefficient of each indoor unit according to the tolerance parameter

[0104] Step S530: Obtain the required change of the internal function energy in the current cycle; specifically, obtain the required change of the internal function energy in the current cycle as ΔE i , ΔE i ,…,ΔE N .

[0105] Step S541, calculate the change in energy demand of the external machine according to the weighted formula; specifically, calculate the change in energy demand of the external machine according to the energy demand coefficient and the current energy demand

[0106] Step S542, end.

[0107] In addition, in one embodiment, a multi-split system is provided with an outdoor unit and multiple indoor units, wherein three indoor units are installed in the same environment and are all in operation. For this system, the conventional control method and the control method of the embodiment of the present application are respectively as follows:

[0108] For the conventional control method: in the current control cycle i, the three indoor units will follow their own control rules. For example, when the actual measured indoor temperatures corresponding to the three indoor units are 26.0℃, 26.0℃ and 25.2℃ respectively, the energy demand change can be determined by the deviation between the indoor temperature set value and the actual indoor temperature value. In this regard, the original energy demand changes of the three indoor units can be obtained by the conventional control algorithm as [+20, +20, +10] respectively. Since one outdoor unit controls the three indoor units at the same time, the energy demand change of the outdoor unit is the sum of the energy demand changes of the three indoor units. That is, under the conventional control algorithm, the energy demand change of the outdoor unit is ΔEtotal'=+20+20+10=50, then the energy demand of the outdoor unit needs to increase by 50.

[0109] For the control method of the embodiment of the present application: for the current control cycle i, the temperature time series corresponding to the three indoor units can be obtained, which are T1 = [26.7, 26.6, 26.5, ... 26.0], T2 = [26.8, 26.5, 26.5, ... 26.0], and T3 = [26.7, 26.5, 26.4, ... 25.2]. In this case, the T1 series can be explained by T2 and T3 as dependent variables, and the calculation is We further obtain a tolerance of Tolerance1 = 0.2, indicating that there is collinearity between the sensing information of indoor unit 1 and the sensing information of other indoor units. The energy demand coefficient η1 = 1 / 3 + 0.2 * (2 / 3) = 0.467. It can be seen that when collinearity exists, the energy demand coefficient of indoor unit 1 will decrease, closer to 1 / N, or one-third. Calculations are performed for indoor units 2 and 3 respectively to obtain the corresponding energy demand coefficients. For example, the three energy demand coefficients η1, η2, and η3 are equal to [0.467, 0.467, 0.532], respectively. Then, based on the original energy demand changes of the three indoor units obtained by the conventional control algorithm, namely [+20, +20, +10], the product of the original energy demand change of each indoor unit and the three energy demand coefficients is calculated. For example, for indoor unit 1, its adjusted energy demand change is +20 * 0.467 = 9.34, and for indoor unit 2, its adjusted energy demand change is +20 * 0.467 = 9.34. The energy demand change is +20*0.467=9.34. For indoor unit 3, the adjusted energy demand change is +10*0.532=5.32. Therefore, through the control method of the embodiment of the present application, the adjusted energy demand changes of the three indoor units are [+9.34, +9.34, +5.32]. In addition, since one outdoor unit controls the three indoor units at the same time, the energy demand change of the outdoor unit is the sum of the energy demand changes of the three indoor units. That is, under the control method of the embodiment of the present application, the energy demand change of the outdoor unit is Then the energy demand of the outdoor unit only needs to increase by 24.

[0110] From the above, it can be seen that under the conventional control mode, the required change in external function energy is 50, while under the control mode of the embodiment of the present application, the required change in external function energy is only 24. Therefore, the required change in external function energy under the control mode of the embodiment of the present application is much smaller than the required change in external function energy under the conventional control mode. It can be seen that the control mode of the embodiment of the present application is relatively stable.

[0111] Therefore, the embodiment of the present application can avoid the control oscillation problem when the sensory resonance occurs, and can achieve better control effects in the operating environment of multiple air conditioners in an open integrated space, thereby improving user comfort.

[0112] Based on the control methods of the multi-split system in the above-mentioned embodiments, various embodiments of the controller, multi-split system, computer-readable storage medium and computer program product of the present application are respectively proposed below.

[0113] like Figure 6 As shown, Figure 6 1 is a schematic diagram of a controller for executing a control method for a multi-connected system provided by an embodiment of the present application. The controller 100 implemented in the present application includes: a processor 110, a memory 120, and a computer program stored in the memory 120 and executable on the processor 110, wherein: Figure 6In the figure, a processor 110 and a memory 120 are taken as an example.

[0114] The processor 110 and the memory 120 may be connected via a bus or other means. Figure 6 The bus connection is taken as an example.

[0115] The memory 120 is a non-transitory computer-readable storage medium that can be used to store non-transitory software programs and non-transitory computer executable programs. In addition, the memory 120 may include a high-speed random access memory and may also include a non-transitory memory, such as at least one disk storage device, a flash memory device, or other non-transitory solid-state storage device. In some embodiments, the memory 120 optionally includes a memory 120 remotely located relative to the processor 110, and these remote memories 120 can be connected to the controller 100 via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0116] Those skilled in the art will understand that Figure 6 The device structure shown in the figure does not constitute a limitation on the controller 100, and the controller 100 may include more or fewer components than shown in the figure, or combine certain components, or arrange the components differently.

[0117] exist Figure 6 In the illustrated controller 100, the processor 110 can be configured to invoke a fast communication program stored in the memory 120 to implement the aforementioned multi-split system control method. Specifically, the non-transitory software program and instructions required to implement the multi-split system control method of the aforementioned embodiment are stored in the memory 120. When executed by the processor 110, the multi-split system control method of the aforementioned embodiment is implemented.

[0118] It is worth noting that since the controller 100 of the embodiment of the present application can execute the control method of the multi-split system of any of the above-mentioned embodiments, the specific implementation methods and technical effects of the controller 100 of the embodiment of the present application can refer to the specific implementation methods and technical effects of the control method of the multi-split system of any of the above-mentioned embodiments.

[0119] In addition, an embodiment of the present application also provides a multi-split system, including a central controller and multiple home appliances, the multiple home appliances include a first device and a second device, and the multi-split system is used to execute the control method of the multi-split system of any of the above embodiments.

[0120] It is worth noting that since the multi-split system of the embodiment of the present application can execute the control method of the multi-split system of any of the above-mentioned embodiments, the specific implementation methods and technical effects of the multi-split system of the embodiment of the present application can refer to the specific implementation methods and technical effects of the control method of the multi-split system of any of the above-mentioned embodiments.

[0121] In addition, an embodiment of the present application further provides a computer-readable storage medium, which stores computer-executable instructions, and the computer-executable instructions are used to execute the control method of the multi-connected system described above. Figures 1 to 5 The method steps in .

[0122] It is worth noting that since the computer-readable storage medium of the embodiment of the present application can execute the control method of the multi-split system of any of the above-mentioned embodiments, the specific implementation methods and technical effects of the computer-readable storage medium of the embodiment of the present application can refer to the specific implementation methods and technical effects of the control method of the multi-split system of any of the above-mentioned embodiments.

[0123] In addition, an embodiment of the present application further provides a computer program product, including a computer program or computer instructions, the computer program or computer instructions being stored in a computer-readable storage medium, the processor of a computer device reading the computer program or computer instructions from the computer-readable storage medium, and the processor executing the computer program or computer instructions, so that the computer device executes the control method of the multi-connected system described above. For example, the execution of the above-described Figures 1 to 5 The method steps in .

[0124] It is worth noting that since the computer program product of the embodiment of the present application can execute the control method of the multi-split system of any of the above-mentioned embodiments, the specific implementation methods and technical effects of the computer program product of the embodiment of the present application can refer to the specific implementation methods and technical effects of the control method of the multi-split system of any of the above-mentioned embodiments.

[0125] Those skilled in the art will appreciate that all or some of the steps and systems in the method disclosed above can be implemented as software, firmware, hardware, and appropriate combinations thereof. Some physical components or all physical components can be implemented as software executed by a processor, such as a central processing unit, a digital signal processor, or a microprocessor, or implemented as hardware, or implemented as an integrated circuit, such as an application-specific integrated circuit. Such software can be distributed on a computer-readable medium, and the computer-readable medium can include computer storage media (or non-transitory media) and communication media (or temporary media). As known to those skilled in the art, the term computer storage media is included in any method or technology for storing information (such as computer-readable instructions, data structures, program modules, or other data) and is volatile and non-volatile, removable, and non-removable. Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory, or other memory technology, CD-ROM, digital versatile disks (DVD), or other optical disk storage, magnetic cassettes, magnetic tapes, disk storage, or other magnetic storage devices, or any other medium that can be used to store desired information and can be accessed by a computer. Furthermore, as is well known to those skilled in the art, communication media typically includes computer-readable instructions, data structures, program modules, or other data in a modulated data signal such as a carrier wave or other transport mechanism, and may include any information delivery media.

[0126] The above is a specific description of the preferred implementation of the present application, but the present application is not limited to the above implementation mode. Technical personnel familiar with the art can also make various equivalent modifications or substitutions under the shared conditions that do not violate the spirit of the present application. These equivalent modifications or substitutions are all included in the scope defined by the claims of the present application.

Claims

1. A control method for a multi-connected system, characterized in that: The multi-split system includes an outdoor unit and multiple indoor units, wherein the multiple indoor units are installed in the same environment space; the method includes: determining the number of target indoor units in operation from the plurality of indoor units; Acquiring sensing information and required change of indoor function of each target indoor unit during a control period; determining a tolerance parameter of each target indoor unit according to the plurality of perception information, wherein the tolerance parameter is used to characterize the degree of collinearity between the plurality of perception information; determining the energy demand variation of the outdoor units of the multi-split system according to the number of indoor units, the plurality of tolerance parameters and the energy demand variation of the indoor units, and controlling the outdoor units based on the energy demand variation of the outdoor units; The perception information includes at least one of the following: temperature information and humidity information.

2. The method according to claim 1, characterized in that The determining of the tolerance parameter of each target indoor unit according to the plurality of perception information includes: For each of the target indoor units, performing statistical analysis on the plurality of sensing information to obtain a determination coefficient; A tolerance parameter of each target indoor unit is determined according to the determination coefficient.

3. The method according to claim 2, characterized in that For each target indoor unit, performing statistical analysis on the plurality of perception information to obtain a determination coefficient includes: For each target indoor unit, taking the perception information of the target indoor unit as dependent variable perception information, and taking the perception information of other target indoor units as independent variable perception information; A regression analysis is performed on the dependent variable perception information and the independent variable perception information to obtain a determination coefficient of the target indoor unit.

4. The method according to claim 2, characterized in that The tolerance parameter is calculated by the following formula: Among them, the Tolerance i is the tolerance parameter, i is a positive integer and is less than or equal to the number of indoor units, is the determination coefficient.

5. The method according to claim 4, characterized in that Include one of the following: There is a negative correlation between the difference between the tolerance parameter and the value zero and the degree of collinearity of the sensing information of the plurality of target indoor units; There is a positive correlation between the difference between the value 1 and the tolerance parameter and the collinearity degree of the perception information of the plurality of target indoor units.

6. The method according to claim 1, wherein The determining of the energy requirement change of the external function of the multi-split system according to the number of the internal units, the plurality of tolerance parameters and the energy requirement change of the internal function includes: For each of the target indoor units, determining an energy demand coefficient according to the number of indoor units and the tolerance parameter; The energy demand variation of the external functions of the multi-split system is determined according to the number of the internal units, a plurality of the energy demand coefficients and the energy demand variation of the internal functions.

7. The method according to claim 6, characterized in that The energy demand coefficient is calculated by the following formula: Wherein, the η i is the energy demand coefficient, N is the number of indoor units, and Tolerance i is the tolerance parameter, and i is a positive integer and is less than or equal to the number of internal units.

8. The method according to claim 6, characterized in that The external energy requirement change is calculated using the following formula: Wherein, ΔEtotal is the change in energy demand of the external unit, N is the number of the internal units, i is a positive integer less than or equal to the number of the internal units, and η i is the energy demand coefficient, the ΔE i It is the required change of the internal function.

9. The method according to claim 1, characterized in that The method further comprises: For each target indoor unit, after obtaining the plurality of perception information, the plurality of perception information are arranged in chronological order to obtain a time series including the plurality of perception information.

10. A controller, characterized in that: include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the control method for a multi-connected system according to any one of claims 1 to 9 when executing the computer program.

11. A multi-connection system, characterized in that: Comprising the controller of claim 10.

12. A computer-readable storage medium, characterized in that: Computer-executable instructions are stored, and the computer-executable instructions are used to execute the control method of the multi-connected system according to any one of claims 1 to 9.

13. A computer program product comprising a computer program or computer instructions, characterized in that The computer program or the computer instructions are stored in a computer-readable storage medium, and the processor of the computer device reads the computer program or the computer instructions from the computer-readable storage medium. The processor executes the computer program or the computer instructions, so that the computer device executes the control method of the multi-connected system as described in any one of claims 1 to 9.

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