Method and apparatus for obtaining building heat / cool load

Abstract

The present application provides a method and device for obtaining building heat / cold load. The method comprises creating a building heat / cold load model to obtain building heat / cold load required to be provided by an air conditioning system based on a difference between indoor temperature and outdoor temperature of an air conditioning control unit, obtaining data comprising indoor temperature, outdoor temperature and air conditioning system parameters, solving a coefficient to be determined in the building heat / cold load model based on the data and the building heat / cold load model, thereby obtaining the building heat / cold load model with the determined coefficient, and obtaining the building heat / cold load required to be provided by the air conditioning system according to the building heat / cold load model with the determined coefficient. The method can obtain the building heat / cold load more accurately without collecting many factors such as heat insulation characteristics of building walls, windows and doors, floor height, sunshine angle, indoor lighting and other electrical appliances, and is suitable for obtaining heat / cold load of any unknown air conditioning control unit.

Description

Technical Field

[0001] This invention relates to building heat / cooling load, and more particularly to obtaining the building heat / cooling load required by an air conditioning system. Background Technology

[0002] An air conditioning system can output the same amount of heat / cooling capacity under different operating conditions, but its power consumption will vary. Therefore, by adjusting the various components of the air conditioning system, power consumption can be minimized while still outputting the same amount of heat / cooling capacity, thus achieving energy optimization. When providing heat / cooling capacity to the building's air conditioning control unit, the power consumption of various components (e.g., compressor, water pump, fan, etc.) can be adjusted to minimize the system's power consumption while meeting the building's heat / cooling load, thereby achieving energy optimization.

[0003] In existing technologies, building heat / cooling load is closely related to many factors such as the thermal insulation characteristics of building walls, windows, doors, etc., floor height, sunlight angle, indoor lighting and other electrical equipment. Therefore, it is usually difficult to collect so many factors accurately and comprehensively in order to obtain building heat / cooling load accurately. Summary of the Invention

[0004] To address the above problems, the present invention provides a method and apparatus for obtaining building heat / cooling load, which can obtain building heat / cooling load relatively accurately without collecting the above-mentioned multiple factors, and is applicable to obtaining the heat / cooling load of any unknown air conditioning control unit.

[0005] According to a first aspect of the present invention, the present invention provides a method for obtaining building heat / cooling load, the method comprising the following steps: creating a building heat / cooling load model, the building heat / cooling load model including coefficients to be determined, the building heat / cooling load model being based on the difference between indoor and outdoor temperatures of several air conditioning control units to obtain the building heat / cooling load required by the air conditioning system; acquiring data including indoor temperature, outdoor temperature, and air conditioning system parameters; solving for the coefficients to be determined in the building heat / cooling load model based on the acquired data and the building heat / cooling load model, thereby obtaining a building heat / cooling load model with determined coefficients; and obtaining the building heat / cooling load required by the air conditioning system based on the building heat / cooling load model with determined coefficients and the indoor and outdoor temperatures.

[0006] According to a second aspect of the present invention, the present invention provides a method for obtaining building heat / cooling load, the method comprising the steps of: creating a building heat / cooling load model, the building heat / cooling load model including weights, biases and activation functions; inputting temperature difference variables; inputting weights; inputting biases; based on the temperature difference variables; superimposing the weights and biases; inputting the superimposed data into an activation function; and outputting the data through the activation function to obtain the building heat / cooling load.

[0007] According to a third aspect of the present invention, an air conditioning control system is provided, comprising: a control system including a processor and a memory, the control system being configured to perform the foregoing steps to obtain the building heat / cooling load required by the air conditioning system.

[0008] According to a fourth aspect of the present invention, an apparatus for obtaining building heat / cooling load is provided, comprising: a detection device configured to detect indoor and outdoor temperatures of an air conditioning control unit and air conditioning system parameters of an air conditioning system; and a control system connected to the detection device via a connection line, the control system including a processor and a memory, the control system being configured to perform the aforementioned steps to obtain the building heat / cooling load required by the air conditioning system.

[0009] According to a fifth aspect of the present invention, an apparatus for controlling an air conditioning system is provided, comprising: an air conditioning system configured to provide a heat / cooling load to an air conditioning control unit to enable the air conditioning control unit to reach a desired temperature; a detection device configured to detect the indoor and outdoor temperatures of the air conditioning control unit and air conditioning system parameters of the air conditioning system; and a control system connected to the detection device via a connection cable and connected to the air conditioning system via a connection cable, the control system including a processor and a memory, the control system being configured to perform the aforementioned steps to acquire the building heat / cooling load required by the air conditioning system, and to use the acquired building heat / cooling load to control the air conditioning system so that the air conditioning system achieves an energy-saving optimized state while meeting the acquired building heat / cooling load. Attached Figure Description

[0010] Figure 1 A structural block diagram of an embodiment of a device for controlling an air conditioning system according to the present invention is shown;

[0011] Figure 2 A flowchart illustrating one embodiment of a method for controlling an air conditioning system is shown.

[0012] Figure 3 It shows Figure 2 A detailed flowchart of an embodiment of step 202 in the flowchart;

[0013] Figure 4 It shows Figure 3 A structural block diagram of an embodiment of the building heat / cooling load model in step 307;

[0014] Figure 5 It shows Figure 2 A detailed flowchart of an embodiment of step 207 in the flowchart;

[0015] Figure 6 A detailed flowchart of one embodiment of classifying different time periods is shown; and

[0016] Figure 7 It shows that according to Figure 1 The block diagram of the control system 101 shown is shown. Detailed Implementation

[0017] Various specific embodiments of the invention will now be described with reference to the accompanying drawings, which form part of this specification. It should be understood that, where possible, the same or similar reference numerals used in the invention refer to the same parts.

[0018] Figure 1 This is a structural block diagram of an embodiment of a device for controlling an air conditioning system according to the present invention. Figure 1 As shown, the device for controlling the air conditioning system includes a control system 101, an air conditioning system 102, and detection devices 104a and 104b. In one embodiment, the air conditioning system 102 is connected to a building 103 via a connecting line 107 (specifically, to air conditioning control units 1, 2...N in the building 103) to enable the air conditioning control units 1, 2...N to reach the desired temperature. The air conditioning system 102 includes an outdoor unit and an indoor unit. In one embodiment, the connection of the air conditioning system 102 to the building 103 includes: the outdoor unit being installed outside the air conditioning control units 1, 2...N, and the indoor unit being installed inside the air conditioning control units 1, 2...N.

[0019] like Figure 1 As shown, the detection device 104b is connected to building 103 via connecting cable 112 (specifically, to air conditioning control units 1, 2...N in building 103) to detect the temperature (i.e., indoor temperature) within the air conditioning control units 1, 2...N in building 103. In one embodiment, connecting the detection device 104b to building 103 includes installing the detection device 104b within the air conditioning control units 1, 2...N in building 103. In another embodiment, the detection device 104b may be installed in the indoor unit of the air conditioning system 102, more specifically at the thermostat within the indoor unit. In one embodiment, the detection device 104b includes a temperature sensor, particularly a temperature sensor standardly included with the indoor unit of the air conditioning system.

[0020] The detection device 104a is connected to the air conditioning system 102 via a connecting cable 111 to detect the ambient temperature (i.e., outdoor temperature) outside the air conditioning control units 1, 2...N and the parameters of the air conditioning system. In one embodiment, connecting the detection device 104a to the air conditioning system 102 includes installing the detection device 104a at the outdoor unit of the air conditioning system 102, particularly outside the heat exchanger of the outdoor unit. The detection device 104a includes a temperature sensor, particularly a temperature sensor standardly provided with the outdoor unit. In another embodiment, the detection device 104a may be installed outside the air conditioning control units 1, 2...N of the building 103.

[0021] In other embodiments, the detection device 104a, connected to the air conditioning system 102 via connecting line 111, further includes: the detection device 104a is installed on the air conditioning system 102 to detect air conditioning system parameters. Air conditioning system parameters include the fluid flow rate of the outdoor unit, the inflow fluid temperature of the outdoor unit, and the outflow fluid temperature of the outdoor unit, used to obtain the heat / cooling load provided by the air conditioning system 102 to the air conditioning control units 1, 2...N during operation. In one embodiment, the outdoor unit includes a compressor, heat exchanger, four-way reversing valve, fan, plate heat exchanger, etc. The detection device 104a includes temperature sensors installed at the inlet and outlet of the plate heat exchanger for real-time measurement of the inflow and outflow fluid temperatures of the outdoor unit. In another embodiment, based on the correspondence between the power and flow rate of the water pump, the flow rate of the water pump can be obtained by obtaining the power of the water pump, where the power of the water pump is the product of the voltage and current of the water pump. In one embodiment, the voltage of the water pump is mains power, for example, 220V or 380V, and the current of the water pump can be detected by a current detection device. The water pump can be built into the outdoor unit of the air conditioner or placed outside the outdoor unit of the air conditioner.

[0022] The control system 101 is connected to the detection device 104b and is used to receive the indoor temperature from the detection device 104b via the connecting line 108. The control system 101 is also connected to the detection device 104a and is used to receive the outdoor temperature and air conditioning system parameters from the detection device 104a via connecting lines 109 and 110, respectively. As mentioned above, the air conditioning system parameters include the fluid flow rate of the outdoor unit of the air conditioner, the inflow fluid temperature of the outdoor unit, and the outflow fluid temperature of the outdoor unit. In one embodiment, the connecting line 110 includes three transmission lines 110a, 110b, and 110c (see...). Figure 7 The system is used to transmit the fluid flow rate, the inflow fluid temperature, and the outflow fluid temperature from the outdoor unit of the air conditioner from the detection device 104a to the control system 101.

[0023] The control system 101 also receives a building heat / cooling load model input by a user via connection line 105. This model includes coefficients to be determined and is based on the difference between the indoor and outdoor temperatures of the air conditioning control units 1, 2…N to obtain the building heat / cooling load required by the air conditioning system. For example, it obtains the heat / cooling load that the air conditioning system needs to provide to each of the air conditioning control units 1, 2…N, as well as the total heat / cooling load. In one embodiment, the user inputs the building heat / cooling load model by writing a program into the processor of the control system 101. This model includes input variables, output variables, coefficients, and an activation function.

[0024] The control system 101 includes a processor 113, configured to solve for the coefficients to be determined in the building heat / cooling load model based on the indoor and outdoor temperatures of the air conditioning control units 1, 2...N at multiple times received by the control system 101 from the detection devices 104b and 104a, the air conditioning system parameters, and the building heat / cooling load model received from the user, thereby obtaining a building heat / cooling load model with determined coefficients. In one embodiment, the input variables of the building heat / cooling load model include the difference between the indoor and outdoor temperatures of the air conditioning control units 1, 2...N at multiple times, and the output variables include the heat / cooling load provided to the air conditioning control units 1, 2...N during the operation of the air conditioning system at multiple times. More specifically, the processor 113 is configured to: calculate the difference between the indoor and outdoor temperatures of the air conditioning control units 1, 2...N at multiple times (i.e., input variables) based on the indoor and outdoor temperatures of the air conditioning control units 1, 2...N at multiple times; calculate the heat / cooling load provided to the air conditioning control units 1, 2...N at multiple times during the operation of the air conditioning system 102 based on the air conditioning system parameters (as described above, for example, including the fluid flow rate of the outdoor unit of the air conditioning system, the inflow fluid temperature of the outdoor unit of the air conditioning system, and the outflow fluid temperature of the outdoor unit of the air conditioning system) (i.e., output variables); and solve (e.g., by algorithm) the coefficients to be determined in the building heat / cooling load model based on the calculated difference between the indoor and outdoor temperatures of the air conditioning control units 1, 2...N at multiple times and the heat / cooling load provided to the air conditioning control units 1, 2...N during the operation of the air conditioning system 102, thereby obtaining a building heat / cooling load model with determined coefficients.

[0025] After obtaining the building heat / cooling load model with determined coefficients, the processor 113 can obtain the heat / cooling load and total heat / cooling load that the air conditioning system needs to provide to the air conditioning control units 1, 2...N at a certain moment, based on the indoor and outdoor temperatures (more specifically, for calculating the difference between the indoor and outdoor temperatures) received from the detection devices 104b and 104a respectively at a certain moment.

[0026] This invention creates a building heat / cooling load model and determines the coefficients to be determined in the model by acquiring the indoor and outdoor temperatures of air conditioning control units 1, 2...N, as well as air conditioning system parameters. This yields a building heat / cooling load model with determined coefficients, enabling the acquisition of the building heat / cooling load required by the air conditioning system based on this model. The invention collects the indoor and outdoor temperatures of air conditioning control units 1, 2...N, and air conditioning system parameters (as mentioned above, for example, the fluid flow rate of the outdoor unit, the inflow fluid temperature, and the outflow fluid temperature of the outdoor unit). These parameters are easily and accurately collected by those skilled in the art, thus enabling the invention to accurately acquire the building heat / cooling load. Unlike conventional methods, this invention does not require collecting numerous factors related to building heat / cooling load, such as the insulation characteristics of building walls, windows, doors, floor height, sunlight angle, indoor lighting, and other electrical equipment. Therefore, it avoids the difficulty of comprehensively and accurately collecting these factors, which often hinders accurate acquisition of the building heat / cooling load in existing technologies. Furthermore, this invention is also applicable to accurately obtaining the heat / cooling load of any unknown air conditioning control unit, because this invention collects the indoor and outdoor temperatures of the air conditioning control unit as well as relevant parameters of the air conditioning system. These are independent of the specific structure of the air conditioning control unit and do not require knowledge of many factors such as the thermal insulation characteristics of building walls, windows, doors, floor height, sunlight angle, indoor lighting, and other electrical equipment, as is required in the prior art.

[0027] In one embodiment, the control system 101 is configured to generate control signals based on the acquired building heat / cooling load required by the air conditioning system, to control the operation of various components (e.g., compressor, water pump, fan, etc.) in the air conditioning system 102, so that the air conditioning system 102 achieves energy saving by minimizing power consumption while meeting the heat / cooling load required to supply the air conditioning control units 1, 2...N. The control system 101 is also connected to the air conditioning system 102 to send the aforementioned control signals to the air conditioning system 102 via connection line 106. Based on the control signals received from the control system 101, the air conditioning system 102 adjusts its various components to minimize power consumption while meeting the building heat / cooling load, thereby achieving energy saving. In another embodiment, the air conditioning system 102 itself includes a control system that, upon receiving a signal from the control system 101 indicating the building heat / cooling load required by the air conditioning system, generates control signals to control the operation of various components in the air conditioning system 102, so that the air conditioning system 102 achieves energy saving by minimizing power consumption while meeting the heat / cooling load required to supply the air conditioning control units 1, 2...N.

[0028] If the building's heat / cooling load is not accurately obtained, the operating point of the air conditioning system will not meet the building's heat / cooling load, and thus it will not achieve an energy-saving operating state. Therefore, accurately obtaining the building's heat / cooling load is an important prerequisite for the air conditioning system to achieve energy-saving optimization.

[0029] It should be noted that, Figure 1 This is a structural block diagram of an embodiment of a device for controlling an air conditioning system according to the present invention, wherein the connecting lines include physical and / or electronic connecting lines, and may also include schematic representations of connections.

[0030] Figure 2 A flowchart illustrating one embodiment of a method for controlling an air conditioning system is shown. Figure 2 As shown, at step 201, the method for controlling the air conditioning system begins execution. At step 202, a building heat / cooling load model is created, including coefficients to be determined. This model is based on the difference between the indoor and outdoor temperatures of the air conditioning control units 1, 2…N to obtain the building heat / cooling load required by the air conditioning system. At step 203, data is acquired, including the indoor temperature, the outdoor temperature, and air conditioning system parameters of the air conditioning control units 1, 2…N.

[0031] In step 204, based on the acquired data and the building heat / cooling load model, the coefficients to be determined in the building heat / cooling load model are solved, thereby obtaining a building heat / cooling load model with determined coefficients. In one embodiment, in step 204, the indoor and outdoor temperatures of the acquired air conditioning control units 1, 2...N are used to obtain the difference between them as input variables of the building heat / cooling load model, and the acquired air conditioning system parameters are used to obtain the heat / cooling load provided by the air conditioning system 102 during operation, as output variables of the building heat / cooling load model. The acquired multiple input variables and corresponding multiple output variables, combined with the building heat / cooling load model, can be used to solve for the coefficients to be determined in the building heat / cooling load model, thereby obtaining a building heat / cooling load model with determined coefficients. In another embodiment, in step 204, based on data acquired over a certain period of time, the coefficients to be determined in the building heat / cooling load model can be approximately solved using the Adam optimization algorithm of machine learning.

[0032] In step 205, the building heat / cooling load required by the air conditioning system is obtained based on the building heat / cooling load model with determined coefficients and the indoor and outdoor temperatures of the air conditioning control units 1, 2...N. In one embodiment, in step 205, the indoor and outdoor temperatures of the air conditioning control units 1, 2...N at a certain moment are obtained, and the difference between them is calculated. This difference is then substituted into the building heat / cooling load model with determined coefficients to obtain the heat / cooling load or the total heat / cooling load required by the air conditioning system to provide to the air conditioning control units 1, 2...N at that moment. The building heat / cooling load required by the air conditioning system at that moment is suitable for obtaining using the building heat / cooling load model with determined coefficients obtained in step 204. In step 206, based on the obtained building heat / cooling load required by the air conditioning system, the air conditioning system is controlled to minimize power consumption while meeting the obtained building heat / cooling load, thereby achieving an energy-saving optimization state.

[0033] Over time, the coefficients in a building heat / cooling load model may change due to factors such as resident population, environment, decoration, equipment, and solar angle. Therefore, dynamically updating the coefficients in the building heat / cooling load model is crucial for more accurately obtaining the building heat / cooling load required by the air conditioning system. Figure 2 As shown, at step 207, it is determined whether the coefficients in the building's heating / cooling load model need to be updated. If the coefficients need to be updated, proceed to step 203; otherwise, continue to step 208. At step 208, it is determined whether a shutdown is required. If a shutdown is not required, proceed to step 207 to determine whether the coefficients in the building's heating / cooling load model need to be updated. If a shutdown is required, proceed to step 209 and end execution. In one embodiment, when an external shutdown command is received, the execution of the method for controlling the air conditioning system ends.

[0034] In one embodiment, when obtaining the building heat / cooling load required by the air conditioning system, the present invention acquires data (e.g., indoor and outdoor temperatures of air conditioning control units 1, 2...N, and relevant parameters of the air conditioning system) at multiple times within a first time period to solve for the coefficients to be determined in the building heat / cooling load model, thereby obtaining a building heat / cooling load model with determined coefficients. Then, based on this building heat / cooling load model with determined coefficients, the building heat / cooling load required by the air conditioning system at each time point within a second time period is obtained, wherein the first time period is earlier than the second time period. Because the factors related to the building heat / cooling load in the first and second time periods, such as the number of residents, environment, and lighting, are basically similar, the building heat / cooling load model with determined coefficients obtained based on data from multiple times within the first time period can be applied to obtaining the building heat / cooling load required by the air conditioning system at each time point within the second time period. In one embodiment, the first and second time periods are adjacent, for example, two adjacent time periods within a day. In another embodiment, the first and second time periods can be corresponding time periods within two different days, for example, two adjacent days or two separate days. Those skilled in the art will envision that the first time period and the second time period can be any two time periods with similar correlation factors, such that the building heat / cooling load required by the air conditioning system at each moment in the second time period can be obtained using a building heat / cooling load model with determined coefficients obtained based on data acquired in the first time period.

[0035] exist Figure 2In a more specific embodiment of the method for controlling the air conditioning system, in step 202, a building heat / cooling load model is created. This model is based on the difference between the indoor and outdoor temperatures of air conditioning control units 1, 2...N at a certain moment to obtain the building heat / cooling load required by the air conditioning system at that moment. In step 203, data including the indoor and outdoor temperatures of air conditioning control units 1, 2...N, and air conditioning system parameters are acquired at multiple moments within a first time period. These air conditioning system parameters include the fluid flow rate of the outdoor unit, the inflow fluid temperature of the outdoor unit, and the outflow fluid temperature of the outdoor unit, etc., used to obtain the heat / cooling load provided by the air conditioning system 102 to the air conditioning control units 1, 2...N during operation. In step 204, based on the data acquired at multiple moments within the first time period and the building heat / cooling load model, the coefficients to be determined in the building heat / cooling load model are solved, thereby obtaining a building heat / cooling load model with determined coefficients. In step 205, based on the building heat / cooling load model with determined coefficients and the indoor and outdoor temperatures of air conditioning control units 1, 2...N at a certain moment within the second time period, the building heat / cooling load required by the air conditioning system at that specific moment within the second time period is obtained. In step 206, based on the obtained building heat / cooling load required by the air conditioning system at that specific moment within the second time period, the air conditioning system is controlled to minimize power consumption while meeting the obtained building heat / cooling load, thereby achieving an energy-saving optimization state.

[0036] Figure 3 It shows Figure 2 A detailed flowchart of an embodiment of step 202 in the flowchart is shown below. Figure 2 As shown, in step 202, a building heat / cooling load model is created. This model is based on the difference between the indoor and outdoor temperatures of air conditioning control units 1, 2...N at a certain moment to obtain the building heat / cooling load required by the air conditioning system at that moment. Figure 3As shown, the creation of the building heat / cooling load model begins at step 301. At step 302, a first formula is created to obtain the heat / cooling load required by a single air conditioning control unit at a given time. At step 303, a second formula is created to obtain the total heat / cooling load required by several air conditioning control units at the given time. At step 304, a third formula is created to obtain the total heat / cooling load provided by the air conditioning system to the several air conditioning control units at the given time. At step 305, an equation is created based on the premise that the total heat / cooling load required by the several air conditioning control units at the given time is equal to the total heat / cooling load provided by the air conditioning system to the several air conditioning control units at the given time, making the second formula equal to the third formula. At step 306, the created equation is extended to several time points to obtain an extended equation. At step 307, the extended equation is refined to obtain the created building heat / cooling load model. At step 308, the execution of creating the building heat / cooling load model ends. Figure 2 Step 202 in creating a building heat / cooling load model includes Figure 3 The steps 302, 303, 304, 305, 306, and 307 shown above.

[0037] In a more specific embodiment, at step 302, a first formula is created for obtaining the heat / cooling load required by a single air conditioning control unit at a certain moment, the first formula including:

[0038]

[0039] in, Q is the heat / cooling load required by the j-th air conditioning control unit. i The heat / cooling load contributed by the i-th factor to the j-th air conditioning control unit, a j Let b be the coefficient to be determined for the j-th air conditioning control unit in relation to the indoor and outdoor temperatures. j Let be the coefficient to be determined for the j-th air conditioning control unit, which is independent of both indoor and outdoor temperatures. Let T be the indoor temperature of the j-th air conditioning control unit at time t. out The outdoor temperature is given. The first formula above corresponds to the physical meaning of the heat / cooling load required by a single air conditioning control unit at a given moment. It should be noted that the moment mentioned here and in this application is a steady-state moment. Specifically, after the air conditioning system is set or adjusted to a certain temperature, the system needs to operate for a period of time (not immediately) before the air conditioning control unit reaches and maintains that stable temperature. The aforementioned steady-state moment refers to any moment within the time period during which the air conditioning control unit reaches and maintains the set or adjusted temperature, i.e., any moment within the time period during which the air conditioning control unit reaches a stable temperature.

[0040] At step 303, a second formula is created for obtaining the total heat / cooling load required by several air conditioning control units at the given time, the second formula comprising:

[0041]

[0042] in, Let t be the total heat / cooling load required by several air conditioning control units. Let be the heat / cooling load required by the j-th air conditioning control unit at time t. Let t be the indoor temperature of the j-th air conditioning control unit, and N be the number of air conditioning control units.

[0043] At step 304, a third formula is created for obtaining the total heat / cooling load provided by the air conditioning system to the plurality of air conditioning control units at the specified moment, the third formula comprising:

[0044]

[0045] in, Let C be the total heat / cooling load provided by the air conditioning system at time t, C be the specific heat capacity of the fluid, ρ be the density of the fluid, and Water be the total heat / cooling load provided by the system at time t. Flow t Let T be the fluid flow rate of the outdoor unit in the air conditioning system at time t. inlet t Let T be the temperature of the fluid flowing into the outdoor unit of the air conditioner at time t. outlet t Let t be the temperature of the fluid flowing out of the outdoor unit of the air conditioner. This fluid can be water or other forms of fluid.

[0046] In one embodiment, the fluid flow rate of the outdoor unit of the air conditioner can be obtained based on the power and flow rate curve of the water pump in the outdoor unit. In other embodiments, the fluid flow rate of the outdoor unit can be obtained in other ways. Each water pump has a one-to-one correspondence between its flow rate and power consumption at different speeds; this is an inherent characteristic of water pumps. The power of the water pump can be obtained from its voltage and current, specifically W = V x I, where W is the power of the water pump, V is the voltage of the water pump, and I is the current of the water pump. In one embodiment, the voltage of the water pump is AC mains power, for example, 220V or 380V. A current feedback device (e.g., a current detection device) is provided in the water pump or a current detection device is provided in the input circuit of the water pump to detect the current of the water pump. That is, based on the obtained power of the water pump and according to the power and flow rate curve of the water pump, the flow rate of the water pump (i.e., the fluid flow rate of the outdoor unit of the air conditioner) can be obtained.

[0047] In step 305, an equation is created based on the premise that the total heat / cooling load required by the several air conditioning control units at a certain moment is equal to the total heat / cooling load provided by the air conditioning system to the several air conditioning control units during operation at that moment, so that the second formula equals the third formula. This created equation includes:

[0048]

[0049] At step 306, the created equation is extended to several time points to obtain the extended equation, which includes the following matrix form:

[0050]

[0051] Among them, t0……t M Indicates time t0...t M The time points, including time t0...t M time.

[0052] In step 307, the expanded equation is adjusted to obtain the created building heat / cooling load model, which includes:

[0053] y = ∑(w i *x i +b i (6),

[0054] In the expanded equation (5), a j Using weight w i It means, b j Using bias b i express, For input variable x i The input data obtained, The output data obtained for the output variable y.

[0055] In another embodiment, at step 307, the expanded equation (5) is adjusted with reference to a fully connected neural network to obtain the created building heat / cooling load model. The aforementioned building heat / cooling load model (6) is a single-layer fully connected neural network model, including, for example... Figure 4 The specific form shown.

[0056] In one embodiment, data including indoor and outdoor temperatures from several air conditioning control units at several times, as well as air conditioning system parameters, are acquired, with the difference between indoor and outdoor temperatures used as an input variable x. iThe obtained input data, based on the total heat / cooling load provided by the air conditioning system to several air conditioning control units at the corresponding time of operation, obtained from the air conditioning system parameters at several times, is used as the obtained output data of the output variable y. According to the input variable x... i The obtained input data and output data of the output variable y, along with the building heat / cooling load model (6) created above, can be used to calculate the determined weight w. m and bias b m That is, the determined coefficient 'a' of the air conditioning control unit related to indoor and outdoor temperatures. m The coefficient b, which is determined to be independent of indoor and outdoor temperatures, is used in conjunction with the air conditioning control unit. m This yields the building heat / cooling load model y = ∑(a) with determined coefficients. m ×x i +b m ).

[0057] In other embodiments, the formulas and equations mentioned above can also be other formulas and equations. For example, formula (1) above can be... Among them, a j and b j Let c be the coefficient to be determined for the j-th air conditioning control unit in relation to the indoor and outdoor temperatures. j The coefficient to be determined for the j-th air conditioning control unit is independent of the indoor and outdoor temperatures. Other formulas and equations can be obtained accordingly from formula (1). It should be noted that accuracy and computational complexity need to be considered when creating the above formulas and equations. The above formulas and equations of this invention are simple, conform to the physical meaning of building heat / cooling load, and have a low computational complexity and good accuracy.

[0058] Figure 4 It shows Figure 3 A structural block diagram of an embodiment of the building thermal / cooling load model obtained in step 307. As previously described, in Figure 3 The building heat / cooling load model obtained in step 307 includes y = ∑(w i *x i +b i (6), which includes weight w i Bias b i Activation function f, input x i And output y. In one embodiment, w i Let b be the coefficient to be determined for the i-th air conditioning control unit in relation to the indoor and outdoor temperatures. i Input x as the coefficient to be determined for the i-th air conditioning control unit, which is independent of indoor and outdoor temperatures. iLet x be the difference between the indoor and outdoor temperatures of the i-th air conditioning control unit at a given time, and let y be the total heat / cooling load provided by the air conditioning system to the 1st, 2nd, ..., i-th air conditioning control units at a given time. In the created building heat / cooling load model, input x... i Weight w i And with bias b i The data is superimposed or summed, and the resulting data is input into the activation function f to obtain the output y. In one embodiment, the activation function f = f(z), and z = ∑(w i *x i +b i In other embodiments, the activation function f may include other functions. Those skilled in the art can conceive of other building heat / cooling load models suitable for the present invention, different from the building heat / cooling load model (6) created above.

[0059] like Figure 4 As shown, input x1, x2…x i …x N They are assigned weights w1, w2...w respectively i …w N And respectively with biases b1, b2...b i …b N The data is superimposed or summed, and the resulting data is input into the activation function f to obtain the output y. In the created building heat / cooling load model, the weights w i and bias b i The coefficients to be determined are shown below. By acquiring input and output data over a certain period, the weights w in the building heat / cooling load model can be solved. i and bias b i More specifically, within the first time period, the differences between the indoor and outdoor temperatures of the 1st, 2nd...Nth air conditioning control units at a certain moment are obtained as input data x1, x2...x... N (i.e., the first set of input data), and obtain the total heat / cooling load provided by the air conditioning system to the 1st, 2nd...Nth air conditioning control units at a certain moment as output data y (i.e., the first output data). Further, within a first time period, obtain the difference between the indoor and outdoor temperatures of the 1st, 2nd...Nth air conditioning control units at several other moments (i.e., the second, third...M sets of input data), and the total heat / cooling load provided by the air conditioning system to the 1st, 2nd...Nth air conditioning control units at the corresponding moments (i.e., the second, third...M sets of output data). Based on the first, second...M sets of input data and the first, second...M sets of output data obtained above, the weights w in the building heat / cooling load model can be solved by the processor. i and bias b iThis yields a building heat / cooling load model with determined coefficients. In one embodiment, the weights w can be solved using machine learning framework software. i and bias b i In particular, the weights w can be solved using the Adam optimization algorithm from machine learning. i and bias b i In other embodiments, the weights w can be solved using other software or other algorithms. i and bias b i Alternatively, the control system 101 can solve for the weight w through a written program. i and bias b i .

[0060] Based on the obtained building heat / cooling load model with determined coefficients, the building heat / cooling load required by the air conditioning system at a certain moment in the second time period can be obtained. For example, this could be the heat / cooling load the air conditioning system needs to provide for a single air conditioning control unit or the total heat / cooling load the air conditioning system needs to provide for several air conditioning control units. The first time period is typically earlier than the second time period. In one embodiment, when obtaining the heat / cooling load provided by the air conditioning system for the i-th air conditioning control unit at time k, the difference between the indoor and outdoor temperatures of the i-th air conditioning control unit at time k needs to be obtained as input data x. i Then obtain the input data x i Assigned the corresponding weight w i And with the corresponding bias b i The data is superimposed or summed, and then input into the activation function f. The output of the activation function f yields the heat / cooling load provided by the air conditioning system to the i-th air conditioning control unit at time k. To obtain the total building heat / cooling load required by the air conditioning system at time k, the difference between the indoor and outdoor temperatures of the 1st, 2nd, ..., Nth air conditioning control units at time k needs to be obtained as input data x1, x2, ..., xn. N Then obtain the input data x1, x2...x N They are assigned weights w1, w2...w respectively. N And respectively with biases b1, b2...b N The data is superimposed or summed, and then input into the activation function f. The total heat / cooling load provided by the air conditioning system to the 1st, 2nd...Nth air conditioning control unit at time k can be obtained by outputting the activation function f.

[0061] Figure 5 It shows Figure 2A detailed flowchart of an embodiment of step 207 in the flowchart is provided. As previously mentioned, the coefficients in the building heat / cooling load model may change over time due to factors such as the number of residents, environment, decoration, equipment, and angle of sunlight. Therefore, it is important to dynamically update the coefficients in the building heat / cooling load model in order to more accurately obtain the building heat / cooling load required by the air conditioning system. Figure 5 A flowchart illustrating one embodiment of determining whether the coefficients in a building’s thermal / cooling load model need to be dynamically updated is shown.

[0062] like Figure 5 As shown, the process of determining whether to dynamically update the coefficients in the building heat / cooling load model begins at step 501. At step 502, the building heat / cooling load required by the air conditioning system at a given time is obtained based on the building heat / cooling load model with the determined coefficients. Where a certain time is t0, a j Let b be a predetermined coefficient related to indoor and outdoor temperatures for the j-th air conditioning control unit. j For the j-th air conditioning control unit, there are already determined coefficients that are independent of indoor and outdoor temperatures. Let be the indoor temperature of the j-th air conditioning control unit at time t, and N be the number of air conditioning control units. In step 503, the total heat / cooling load provided by the air conditioning system to the several air conditioning control units at the corresponding time is obtained. This total heat / cooling load is... Where C is the specific heat capacity of the fluid, ρ is the density of the fluid, and Water Flow Let t0 be the fluid flow rate of the outdoor unit of the air conditioning system. Let t0 be the temperature of the fluid flowing into the outdoor unit of the air conditioner. The temperature of the outflow fluid from the outdoor unit of the air conditioner at time t0. In step 504, the building heat / cooling load required by the air conditioning system at a certain time is compared with the total heat / cooling load provided by the air conditioning system to several air conditioning control units at the corresponding time of operation to obtain the error ε. The error ε includes...

[0063]

[0064] At step 505, it is determined whether the error ε is less than a first threshold. If the error ε is less than the first threshold, the coefficients in the building heat / cooling load model are not updated, and the process proceeds to... Figure 2 Step 208. If the error ε is greater than or equal to the first threshold, proceed to step 506 to determine if the error ε is greater than the second threshold. If the error ε is greater than the second threshold, proceed to... Figure 2 Step 203 is used to update the coefficients in the building heat / cooling load model; otherwise, the coefficients in the building heat / cooling load model are not updated and the process proceeds to step 203. Figure 2 Step 208 in the process.

[0065] exist Figure 5 In the illustrated embodiment, steps 505 and 506, for example, use a first threshold and a second threshold when determining the error ε, thereby avoiding frequent coefficient updates. If only one threshold is used when determining the error ε, that is, if the coefficients in the building heat / cooling load model are updated only when the error ε is greater than the threshold, and not updated otherwise, the coefficients in the building heat / cooling load model will be frequently updated when the error ε frequently changes between being greater than or less than or equal to the threshold, consuming a large amount of computational and processing resources.

[0066] Figure 6 A detailed flowchart of one embodiment for classifying different time periods is shown. Typically, users' air conditioning usage habits and lifestyles differ across time periods; for example, curtains may be drawn at midday, lighting may be increased at night, and population numbers may vary. In one embodiment, coefficients for different time periods of the day can be calculated, and time segmentation can be performed based on the data differences ξ between these time periods.

[0067] like Figure 6 As shown, execution begins at step 601. At step 602, the building heat / cooling load Q at time t0 of time period i is obtained using a building heat / cooling load model with determined coefficients for time period j. j The building's heat / cooling load Q j yes Among them, a j and b j For the coefficients in the building heat / cooling load model with predetermined coefficients for time period j, Let T be the indoor temperature of the air conditioning control unit at time t0 within time period i. out Let N be the outdoor temperature and N be the number of air conditioning control units. In step 603, the building heat / cooling load Q at time t0 of time period i is obtained using a building heat / cooling load model with predetermined coefficients for time period i. i The building's heat / cooling load Q j yes Among them, a i and b i For time period i, these are the coefficients in the building heat / cooling load model where the coefficients are already determined. Let T be the indoor temperature of the air conditioning control unit at time t0 within time period i. out Where is the outdoor temperature, and N is the number of air conditioning control units. At step 604, the building's heating / cooling load Q is... j and Q i A comparison is made to obtain the data difference ξ. In one embodiment, the data difference ξ includes...

[0068]

[0069] At step 605, it is determined whether the data difference ξ is greater than a threshold. If the data difference ξ is less than or equal to the threshold, then at step 606, time period i and time period j are divided into the same type of time period. Within this same type of time period, only data related to a specific sub-time period within the same time period needs to be acquired for subsequent coefficient updates. In one embodiment, dividing time period i and time period j into the same type of time period means that when coefficient updates are needed later, only the relevant data from time period i or time period j needs to be acquired to update the coefficients in the building heat / cooling load model for the corresponding time period. When coefficient updates are needed later, only data related to a specific sub-time period within the same type of time period needs to be reacquired (without reacquiring data related to all sub-time periods within the same type of time period) to obtain the coefficients in the building heat / cooling load model for that type of time period. This results in less computational resource consumption, and the building heat / cooling load obtained by this method is more accurate while requiring less computation.

[0070] If the data difference ξ is greater than the threshold, then in step 607, time period i and time period j are divided into different time periods. In one embodiment, if ξ > 5%, time period i and time period j are divided into different time periods. For time periods i and j that are in different time periods, when the coefficients need to be updated later, the relevant data for time periods i and j need to be obtained to update the coefficients in the building heat / cooling load model with their respective determined coefficients.

[0071] Figure 7 It shows that according to Figure 1 The block diagram of the control system 101 shown is as follows. Figure 7 As shown, the control system 101 includes a bus 701, a processor 702, a memory 703, an input interface 704, and an output interface 705. The processor 702, memory 703, input interface 704, and output interface 705 are connected to the bus 701. The processor 702 can read programs (or instructions) from the memory 703 and execute them to perform data processing and control functions on the air conditioning system 102; the processor 702 can also write data or programs (or instructions) into the memory 703. The memory 703 can store programs (instructions) or data. By executing the instructions in the memory 703, the processor 702 can control the memory 703, the input interface 704, and the output interface 705.

[0072] Input interface 704 is configured to receive indoor temperature from detection device 104b via connection line 108 and convert the indoor temperature into a signal recognizable by processor 702. Input interface 704 is also configured to receive outdoor temperature from detection device 104a via connection line 109 and convert the outdoor temperature into a signal recognizable by processor 702. Input interface 704 is further configured to receive fluid flow rate, inflow fluid temperature, and outflow fluid temperature from the outdoor unit of air conditioning unit 104a via connection lines 110a, 110b, and 110c, respectively, and convert these fluid flow rate, inflow fluid temperature, and outflow fluid temperature into signals recognizable by processor 702. Input interface 704 is also configured to receive a user-input building heat / cooling load model via connection line 105, which is a user-written program.

[0073] The output interface 705 is configured to receive control signals from the processor 702, convert the control signals into output signals suitable for the air conditioning system 102, and send the output signals to the air conditioning system 102 via the connection line 106.

[0074] During operation, upon receiving a control command from an external control center, the processor 702 calculates the coefficients to be determined in the building heat / cooling load model based on the indoor temperature from detection device 104b, the outdoor temperature from detection device 104a, the fluid flow rate, inflow fluid temperature, and outflow fluid temperature of the outdoor unit of the air conditioner, as well as the building heat / cooling load model input by the user, thereby obtaining a building heat / cooling load model with determined coefficients. Upon receiving another control command from the external control center, the processor 702 further calculates the building heat / cooling load required by the air conditioning system at a certain moment based on the building heat / cooling load model with determined coefficients, the indoor temperature from detection device 104b, and the outdoor temperature from detection device 104a at a certain moment. For example, the air conditioning system needs to provide heat / cooling load and total heat / cooling load to air conditioning control units 1, 2...N respectively. Similarly, during operation, the processor 702 also generates control signals based on the building heat / cooling load required by the air conditioning system at a certain moment, to control the various components of the air conditioning system 102 (e.g., compressor, water pump, fan, etc.) to minimize power consumption while meeting the building heat / cooling load. When the air conditioning system 102 receives the control signal from the processor 702 (i.e., output via the output interface), the air conditioning system 102 adjusts its various components to minimize power consumption while meeting the building heat / cooling load, thereby achieving an energy-saving state.

[0075] In one embodiment, the air conditioning system 102 itself includes a control system, which includes a processor. After receiving a signal from the output interface 705 indicating the building heat / cooling load required by the air conditioning system at a certain moment, the processor generates a control signal to control the operation of various components in the air conditioning system 102, so that the air conditioning system 102 consumes the least amount of power while meeting the heat / cooling load provided to the air conditioning control units 1, 2...N, thereby achieving an energy-saving state.

[0076] Although the invention has been described with reference to the specific embodiments shown in the accompanying drawings, it should be understood that the methods, processes, steps, apparatus and systems of the invention may be varied in many ways without departing from the spirit, scope and context of the teachings of the invention.

[0077] The methods, systems, and apparatuses discussed above are examples. Various configurations may omit, substitute, or add various processes or components as needed. For example, in alternative configurations, the methods may be performed in a different order than described, and / or stages may be added, omitted, and / or combined. Furthermore, features described for certain configurations may be combined in various other configurations. Different aspects and elements of the configurations may be combined in a similar manner. Moreover, technology will evolve, and therefore many of the described elements are examples and do not limit the scope of this disclosure or the claims.

[0078] Furthermore, a configuration can be described as a process, depicted as a schematic flowchart or block diagram. While each configuration can be described as a sequential process, many of these operations can be performed in parallel or simultaneously. Moreover, the order of operations can be rearranged. The process may have additional steps not shown in the diagram. Furthermore, instances of the method can be implemented by hardware, software, firmware, middleware, microcode, hardware description languages, or any combination thereof. When implemented as software, firmware, middleware, or microcode, the program code or code segments used to perform the necessary tasks can be stored in a non-transitory computer-readable medium, such as a storage medium. The processor can execute the described tasks.

[0079] Furthermore, the terms “comprising,” “containing,” and “including” are used in this specification and the appended claims to specify the presence of the stated features, integrals, components, or steps, but do not exclude the presence or addition of one or more other features, integrals, components, steps, actions, or groups.

Claims

1. A method for obtaining building heat / cooling load, characterized in that, The method includes the following steps: (1) Create a building heat / cooling load model, which includes coefficients to be determined. The building heat / cooling load model is based on the difference between the indoor and outdoor temperatures of several air conditioning control units to obtain the building heat / cooling load required by the air conditioning system. (2) Acquire data, including the indoor temperature, the outdoor temperature, and air conditioning system parameters. (3) Based on the acquired data and the building heat / cooling load model, solve for the coefficients to be determined in the building heat / cooling load model, thereby obtaining the building heat / cooling load model with determined coefficients, and (4) Obtain the building heat / cooling load required by the air conditioning system based on the building heat / cooling load model with determined coefficients and the indoor and outdoor temperatures. The method further includes: use The building's heat / cooling load model with a defined coefficient for the time period is used to obtain... Time period Building heat / cooling load at any time and adopt The building's heat / cooling load model with a defined coefficient for the time period is used to obtain... Time period Building heat / cooling load at any time , Get Time period Building heat / cooling load at any time and Compare to obtain data differences , If the data differences Less than or equal to the threshold, Time period and The time period is divided into similar time periods. Within each similar time period, only data from a specific sub-time period needs to be retrieved for subsequent updates. If the data differences If it is greater than the threshold, Time period and The time period is divided into different types of time periods.

2. The method for obtaining building heat / cooling load according to claim 1, characterized in that, Step (1) Creating a building heat / cooling load model includes the following steps: (1-1) Create a first formula to obtain the heat / cooling load required by a single air conditioning control unit at a certain moment. (1-2) Create a second formula for obtaining the total heat / cooling load required by several air conditioning control units at a given moment. (1-3) Create a third formula to obtain the total heat / cooling load provided by the air conditioning system to the several air conditioning control units at a certain moment during operation. (1-4) An equation is created based on the premise that the total heat / cooling load required by several air conditioning control units at a certain moment is equal to the total heat / cooling load provided by the air conditioning system to the several air conditioning control units during operation at that moment, so that the second formula equals the third formula. (1-5) Extend the created equation to several time points to obtain the extended equation, and (1-6) The expanded equations are adjusted to obtain the created building heat / cooling load model.

3. The method for obtaining building heat / cooling load according to claim 2, characterized in that: In step (1-1), creating the first formula for obtaining the heat / cooling load required by a single air conditioning control unit at a given moment includes: ， in, For the heat / cooling load required by the j-th air conditioning control unit, The heat / cooling load contributed by the i-th factor to the j-th air conditioning control unit. Let be the coefficients to be determined for the j-th air conditioning control unit in relation to indoor and outdoor temperatures. Let be the coefficient to be determined for the j-th air conditioning control unit, which is independent of indoor and outdoor temperatures. Let be the indoor temperature of the j-th air conditioning control unit at time t. Outdoor temperature; In step (1-2), creating the second formula for obtaining the total heat / cooling load required by the plurality of air conditioning control units at the specified moment includes: ， in, Let t be the total heat / cooling load required by several air conditioning control units. Let be the heat / cooling load required by the j-th air conditioning control unit at time t. Let t be the indoor temperature of the j-th air conditioning control unit, and N be the number of air conditioning control units; In steps (1-3), the third formula for obtaining the total heat / cooling load provided by the air conditioning system to the plurality of air conditioning control units at a certain moment includes: ， in, Let C be the total heat / cooling load provided by the air conditioning system at time t, C be the specific heat capacity of the fluid, and ρ be the density of the fluid. Let be the fluid flow rate of the outdoor unit of the air conditioning system at time t. Let t be the temperature of the fluid flowing into the outdoor unit of the air conditioner. Let t be the temperature of the fluid flowing out of the outdoor unit of the air conditioner; In steps (1-4), the equation created by making the second formula equal to the third formula includes: ； In steps (1-5), extending the created equation to several time points to obtain the extended equation includes: Among them, t0……t M Indicates time t0...t M The time points, including time t0...t M Time; and In steps (1-6), the expanded equation is adjusted to obtain the created building heat / cooling load model, which includes: ， Wherein, in the expanded equation Using weights express, Using bias express, Input variables , For output variables ; In step (3), based on the input variables and output variables And the weights determined by the building heat / cooling load model. and bias The determined weights and the bias These are the coefficients determined for the air conditioning control unit in relation to indoor and outdoor temperatures. The coefficient determined by the air conditioning control unit is independent of indoor and outdoor temperatures. To obtain a building heat / cooling load model with determined coefficients: .

4. The method for obtaining building heat / cooling load according to claim 1, characterized in that, In step (2), the air conditioning system parameters include the fluid flow rate of the outdoor unit of the air conditioning system, the inflow fluid temperature of the outdoor unit of the air conditioning system, and the outflow fluid temperature of the outdoor unit of the air conditioning system. The air conditioning system parameters are used to obtain the total heat / cooling load provided by the air conditioning system to the plurality of air conditioning control units during operation.

5. The method for obtaining building heat / cooling load according to claim 3, characterized in that, In step (1), the building heat / cooling load model includes a fully connected neural network model, and in step (3), solving for the coefficients to be determined in the building heat / cooling load model includes: using a machine learning framework to solve for the coefficients to be determined in the building heat / cooling load model.

6. The method for obtaining building heat / cooling load according to claim 5, characterized in that, In step (3), the Adam optimization algorithm of the machine learning framework is used to solve for the coefficients to be determined in the building heat / cooling load model.

7. The method for obtaining building heat / cooling load according to claim 3, characterized in that, When obtaining the building heat / cooling load required by the air conditioning system in step (4), perform the following steps: The required building heat / cooling load at a given moment is obtained from a building heat / cooling load model with predetermined coefficients. This required building heat / cooling load at a given moment is... Where a certain time is t0, Here are the known coefficients related to indoor and outdoor temperatures for the j-th air conditioning control unit. For the j-th air conditioning control unit, there are already determined coefficients that are independent of indoor and outdoor temperatures. Let t0 be the indoor temperature of the j-th air conditioning control unit, and N be the number of air conditioning control units.

8. The method for obtaining building heat / cooling load according to claim 7, characterized in that, The method further includes the following steps: (i) Obtain the total heat / cooling load provided by the air conditioning system to several air conditioning control units at the corresponding time of operation, wherein the total heat / cooling load is Where C is the specific heat capacity of the fluid, and ρ is the density of the fluid. Let t0 be the fluid flow rate of the outdoor unit of the air conditioning system. Let t0 be the temperature of the fluid flowing into the outdoor unit of the air conditioner. The temperature of the fluid flowing out of the outdoor unit of the air conditioner at time t0; (ii) Compare the building heat / cooling load required by the air conditioning system at a certain moment with the total heat / cooling load provided by the air conditioning system for several air conditioning control units at the corresponding moment to obtain the error. The error include ； (iii) Determine the error Is it less than the first threshold? (iv) If the error If the value is less than the first threshold, the coefficients in the building heat / cooling load model will not be updated. (v) If the error If the error is greater than or equal to the first threshold, then the error is determined. Is it greater than the second threshold? (vi) If the error If the value is greater than the second threshold, the coefficients in the building heat / cooling load model are updated; otherwise, the coefficients in the building heat / cooling load model are not updated.

9. The method for obtaining building heat / cooling load according to claim 3, characterized in that, The building heat / cooling load yes ,in and They are respectively The coefficients for a specific air conditioning control unit in a building heat / cooling load model with a defined time period, showing correlation and non-correlation between indoor and outdoor temperatures. for Time period The indoor temperature of a certain air conditioning control unit at a given time. Outdoor temperature; and The building heat / cooling load yes ,in and They are respectively The coefficients in the building heat / cooling load model with determined coefficients for the time period, showing whether a particular air conditioning control unit is correlated with or uncorrelated with indoor and outdoor temperatures. for Time period The indoor temperature of a certain air conditioning control unit at a given time. This refers to the outdoor temperature.

10. The method for obtaining building heat / cooling load according to claim 1, characterized in that, Get Time period Building heat / cooling load at any time and The data differences obtained by comparison include 。 11. An air conditioning control system, characterized in that, The air conditioning control system includes: A control system (101) including a processor and a memory, the control system (101) being configured to perform the method of any one of claims 1-10 to obtain the building heat / cooling load required by the air conditioning system.

12. A device for obtaining building heat / cooling load, characterized in that, The device includes: Detection devices (104a, 104b) are configured to detect the indoor and outdoor temperatures of the air conditioning control unit and the air conditioning system parameters of the air conditioning system. A control system (101) is connected to the detection devices (104a, 104b) via a first connecting line (108, 109, 110). The control system (101) includes a processor and a memory. The control system (101) is configured to perform the method of any one of claims 1-10 to obtain the building heat / cooling load required by the air conditioning system.

13. A device for controlling an air conditioning system, characterized in that, The device includes: An air conditioning system (102) is configured to provide a heat / cooling load to an air conditioning control unit so that the air conditioning control unit reaches the desired temperature. Detection devices (104a, 104b) are configured to detect the indoor and outdoor temperatures of the air conditioning control unit and the air conditioning system parameters of the air conditioning system. A control system (101) is connected to the detection devices (104a, 104b) via a first connecting line (108, 109, 110) and to the air conditioning system (102) via a second connecting line (106). The control system (101) includes a processor and a memory. The control system (101) is configured to perform the method of any one of claims 1-10 to obtain the building heat / cooling load required by the air conditioning system and to use the obtained building heat / cooling load to control the air conditioning system (102) so that the air conditioning system (102) achieves an energy-saving optimized state while meeting the obtained building heat / cooling load.

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