Method, system, storage medium and equipment for calculating energy demand of air conditioning system in transition season

Abstract

The application discloses a transition season air conditioning system energy demand calculation method, system, storage medium and equipment, the energy demand calculation method comprises judging the temperature interval where the pre-acquired return air temperature Ti is located; wherein the temperature interval comprises a low temperature zone, a low temperature moderate transition zone, a moderate zone, a moderate high temperature transition zone and a high temperature zone; the energy demand of the air conditioning system is calculated by using the energy demand calculation mode corresponding to the temperature interval where the return air temperature Ti is located; wherein the energy demand calculation mode comprises return air temperature calculation, relative humidity calculation, dew point temperature calculation, relative humidity-return air temperature joint calculation or dew point temperature-relative humidity joint calculation. According to the present application, different energy demand calculation modes are adopted according to the temperature interval where the return air temperature is located, the energy demand required by the air conditioning system can be more accurately calculated, and the phenomenon that the temperature and humidity control of the air conditioning system is too high, too low or frequently fluctuates up and down in the transition season is avoided, and the user experience is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of air conditioning systems, in particular to a transition season air conditioning system energy demand calculation method, system, storage medium and equipment. BACKGROUND

[0002] For industrial purification places, air conditioning needs to maintain a certain temperature and humidity all year round, i.e. constant temperature and humidity requirements, and air conditioning units need to run 24 hours or even longer without stopping. The existing variable frequency direct expansion air conditioning unit system energy demand control logic is to perform PID control according to the difference between the set dew point temperature and the actual dew point, or to perform PID control according to the difference between the set relative humidity and the actual relative humidity.

[0003] However, in the transition season, due to small demand load, actual load demand is not required, and the unit calculates energy demand according to the set dew point and the set dew point. However, the selected dew point temperature is too high (27℃, 55%) or the relative humidity is too large (16℃, 75%), and the actual indoor temperature and humidity are often adjusted too much, insufficiently or frequently up and down, resulting in obvious up and down fluctuations of indoor temperature and humidity in the transition season, and poor user experience. SUMMARY

[0004] The purpose of the present application is to provide a transition season air conditioning system energy demand calculation method, system, storage medium and equipment to solve the problem of inaccurate energy demand calculation in the prior art using dew point temperature.

[0005] To achieve the above purpose, the present application adopts the following technical solutions:

[0006] In a first aspect, the present application discloses a transition season air conditioning system energy demand calculation method, comprising:

[0007] determining the temperature interval in which the pre-acquired return air temperature Ti is located; wherein the temperature interval includes a low temperature zone, a low temperature moderate transition zone, a moderate zone, a moderate high temperature transition zone and a high temperature zone;

[0008] using the energy demand calculation method corresponding to the temperature interval in which the return air temperature Ti is located to calculate the energy demand of the air conditioning system; wherein the energy demand calculation method includes return air temperature calculation, relative humidity calculation, dew point temperature calculation, relative humidity-return air temperature joint calculation or dew point temperature-relative humidity joint calculation.

[0009] Further, the energy demand calculation method corresponding to the temperature interval in which the return air temperature Ti is located includes:

[0010] If the return air temperature Ti is in the low temperature zone, the energy demand calculation method is dew point temperature calculation.

[0011] If the return air temperature Ti is in the low temperature moderate transition zone, the energy demand can be calculated in the form of a dew point temperature-relative humidity joint calculation;

[0012] If the return air temperature Ti is in the moderate zone, the energy demand can be calculated in the form of a relative humidity calculation;

[0013] If the return air temperature Ti is in the moderate high temperature transition zone, the energy demand can be calculated in the form of a relative humidity-return air temperature joint calculation;

[0014] If the return air temperature Ti is in the high temperature zone, the energy demand can be calculated in the form of a return air temperature calculation.

[0015] Further,

[0016] The expression for calculating the energy demand in the form of a dew point temperature calculation is: energy demand N1=A3*△T3+B3*DTk+C3*DDTk

[0017] Wherein, A3, B3 are proportional coefficients, △T3= current fluorine coil rear temperature-dew point temperature, DTk is the first order difference of the current fluorine coil rear temperature, and DDTk is the second order difference of the current fluorine coil rear temperature;

[0018] The expression for calculating the energy demand in the form of a relative humidity calculation is: energy demand N2=A2*△T2+B2*DTj+C2*DDTj;

[0019] Wherein, A2, B2 are proportional coefficients, △T2= current relative humidity-set relative humidity, DTj is the first order difference of the current relative humidity, and DDTj is the second order difference of the current relative humidity;

[0020] The expression for calculating the energy demand in the form of a return air temperature calculation is: energy demand N3=A1*△T1+B1*DTi+C1*DDTi;

[0021] Wherein, A1, B1 are proportional coefficients, △T1= current return air temperature-set return air temperature, DTi is the first order difference of the current return air temperature, and DDTi is the second order difference of the current return air temperature;

[0022] The expression for calculating the energy demand in the form of a dew point temperature-relative humidity joint calculation is: energy demand N4=1 / 3*energy demand N2*(Ti-M1)+1 / 3*energy demand N1*(M2-Ti);

[0023] Wherein, M1 is the minimum value of the temperature interval of the return air temperature when the energy demand is calculated in the form of a dew point temperature-relative humidity joint calculation, and M2 is the maximum value of the temperature interval of the return air temperature when the energy demand is calculated in the form of a dew point temperature-relative humidity joint calculation;

[0024] The expression for calculating energy demand by combining relative humidity and return air temperature is: Energy demand N5 = Energy demand N2 * (M4 / 5 - 1 / 5 * Ti) + Energy demand N1 * (1 / 5 * Ti - M3 / 5);

[0025] Wherein, M4 is the maximum value of the temperature range in which the return air temperature is located when calculating energy demand using the combined method of relative humidity and return air temperature, and M3 is the minimum value of the temperature range in which the return air temperature is located when calculating energy demand using the combined method of relative humidity and return air temperature.

[0026] Furthermore, the temperature range of the low-temperature zone is less than or equal to M1;

[0027] The temperature range of the low-temperature moderate transition zone is: (M1, M2);

[0028] The temperature range of the suitable zone is: (M2, M3);

[0029] The temperature range of the moderate high-temperature transition zone is: (M3, M4);

[0030] The temperature range of the high-temperature zone is greater than M4;

[0031] Among them, M1 is 9-11℃, M2 is 12-14℃, M3 is 14-16℃, and M4 is 18-22℃.

[0032] Furthermore, the process of obtaining the indoor return air temperature Ti and determining the temperature range in which the return air temperature Ti falls also includes:

[0033] Determine whether the operating time of the indoor fan of the air conditioning system exceeds the set threshold;

[0034] If the indoor fan's operating time exceeds the set threshold, the temperature range of the return air temperature Ti is determined; if the indoor fan's operating time does not exceed the set threshold, the indoor return air temperature Ti is re-acquired.

[0035] Secondly, this application discloses an energy demand calculation system for a transitional season air conditioning system, comprising:

[0036] The judgment module determines the temperature range in which the pre-acquired return air temperature Ti is located; wherein, the temperature range includes a low temperature zone, a low temperature moderate transition zone, a moderate zone, a moderate high temperature transition zone, and a high temperature zone;

[0037] The energy demand calculation module uses the energy demand calculation method corresponding to the temperature range where the return air temperature Ti is located to calculate the energy demand of the air conditioning system; wherein, the energy demand calculation method includes return air temperature calculation, relative humidity calculation, dew point temperature calculation, relative humidity-return air temperature joint calculation or dew point temperature-relative humidity joint calculation.

[0038] Furthermore, it also includes a data acquisition module, which is used to acquire the return air temperature Ti.

[0039] Furthermore, it also includes a feedback module, which is used to determine whether the opening time of the indoor fan of the air conditioning system exceeds a set threshold; if the opening time of the indoor fan exceeds the set threshold, it determines the temperature range in which the return air temperature Ti is located; if the opening time of the indoor fan does not exceed the set threshold, it re-acquires the indoor return air temperature Ti.

[0040] Thirdly, this application discloses a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements any of the methods described in the first aspect.

[0041] Fourthly, this application discloses a device comprising:

[0042] Memory, used to store instructions;

[0043] A processor for executing the instructions, causing the device to perform operations implementing the method as described in any of the first aspects.

[0044] According to the above technical solution, the beneficial effects of the present invention are as follows:

[0045] This application employs different energy demand calculation methods depending on the temperature range of the return air temperature. These methods include using return air temperature, relative humidity, dew point temperature, a combination of relative humidity and return air temperature, or a combination of dew point temperature and relative humidity. Compared to the current method of solely using dew point temperature for energy demand calculation, this approach can more accurately calculate the energy demand required by the air conditioning system. By using different energy demand calculation methods, a reasonable energy demand value is accurately calculated, thus avoiding the phenomenon of excessively high or low temperature and humidity control or frequent fluctuations during transitional seasons, thereby improving the user experience. Attached Figure Description

[0046] Figure 1 This is a simplified flowchart of the present invention;

[0047] Figure 2 This is a schematic diagram of the overall process of the present invention;

[0048] Figure 3 This is a schematic diagram illustrating the energy demand calculation principle of the present invention. Implementation

[0049] To make the technical means, creative features, objectives and effects of this invention easier to understand, the invention will be further described below in conjunction with specific embodiments.

[0050] Research has found that most existing energy demand calculation and control methods use a single variable (dew point temperature, return air temperature, and relative humidity) for PID calculation and control. Dew point temperature control first detects the dew point temperature of the air and determines whether it meets the control requirements. The actual dew point temperature is either lower than, meets, or exceeds the requirements. The single control loop makes the control very accurate. However, in the transition season, different temperature and humidity parameters at the same dew point can cause fluctuations in the actual control loop.

[0051] The purpose of this application is to provide an energy demand calculation method that enables the air conditioning unit to accurately calculate the reasonable energy demand value under the current conditions by combining the indoor return air temperature, relative humidity and dew point temperature, and combining the two in the transition zone, when the system control is running during the transition season. This avoids the phenomenon of excessively high or low temperature and humidity control or frequent fluctuations in the direct expansion unit during the transition season due to a single parameter.

[0052] like Figure 1 As shown, this invention discloses a method for determining the temperature range in which the pre-acquired return air temperature Ti is located; wherein, the temperature range includes a low temperature zone, a low temperature moderate transition zone, a moderate zone, a moderate high temperature transition zone, and a high temperature zone; the energy demand of the air conditioning system is calculated using the energy demand calculation method corresponding to the temperature range in which the return air temperature Ti is located; wherein, the energy demand calculation method includes return air temperature calculation, relative humidity calculation, dew point temperature calculation, relative humidity-return air temperature joint calculation, or dew point temperature-relative humidity joint calculation.

[0053] This application employs different energy demand calculation methods depending on the temperature range of the return air temperature. These methods include using return air temperature, relative humidity, dew point temperature, a combination of relative humidity and return air temperature, or a combination of dew point temperature and relative humidity. Compared to the current method of solely using dew point temperature for energy demand calculation, this approach can more accurately calculate the energy demand required by the air conditioning system. By using different energy demand calculation methods, a reasonable energy demand value is accurately calculated, thus avoiding the phenomenon of excessively high or low temperature and humidity control or frequent fluctuations during transitional seasons, thereby improving the user experience.

[0054] The present application will be described below through specific embodiments. Example

[0055] like Figures 1 to 3 As shown, the method for calculating the energy demand of air conditioning systems during the transition season includes:

[0056] Step 1: Obtain the set air conditioning system parameters.

[0057] In step 1, the parameters set for the air conditioning system include indoor return air relative humidity, dew point temperature, and refrigerant coil outlet air temperature. This step involves data acquisition and is existing technology.

[0058] Step 2: Determine whether the operating time of the indoor fan of the air conditioning system exceeds the set threshold. If the operating time of the indoor fan exceeds the set threshold, proceed to Step 3; otherwise, return to Step 1.

[0059] The purpose of this step is to ensure that the internal fan is on when the energy demand is calculated, so as to ensure the accuracy of the subsequent energy demand calculation. If the internal fan is off, there is no need to perform the subsequent energy demand calculation.

[0060] Step 3: Determine the temperature range in which the pre-acquired return air temperature Ti is located; wherein, the temperature range includes a low temperature zone, a low temperature moderate transition zone, a moderate zone, a moderate high temperature transition zone, and a high temperature zone.

[0061] Step 4: Calculate the energy demand of the air conditioning system using the energy demand calculation method corresponding to the temperature range where the return air temperature Ti is located; wherein, the energy demand calculation method includes return air temperature calculation, relative humidity calculation, dew point temperature calculation, relative humidity-return air temperature joint calculation or dew point temperature-relative humidity joint calculation.

[0062] In step 3, the temperature range of the low-temperature zone is less than or equal to M1; the temperature range of the low-temperature moderate transition zone is (M1, M2); the temperature range of the moderate zone is (M2, M3); the temperature range of the moderate-high-temperature transition zone is (M3, M4); and the temperature range of the high-temperature zone is greater than M4. The values ​​of M1, M2, M3, and M4 are M1 = 9-11℃, M2 = 12-14℃, M3 = 14-16℃, and M4 = 18-22℃, respectively. The ranges of M1, M2, M3, and M4 are adjustable.

[0063] Different temperature ranges can be defined by setting the temperature.

[0064] In a specific embodiment, M4 = 20℃, M3 = 15℃, M2 = 13℃, and M1 = 10℃. When Ti > 20℃, energy demand is calculated using the return air temperature method. When 15℃ < Ti ≤ 20℃, fuzzy energy demand calculation using relative humidity and return air temperature (i.e., a combined method of relative humidity and return air temperature) is used. When 13℃ < Ti ≤ 15℃, energy demand is calculated using relative humidity; when 10℃ < Ti ≤ 13℃, fuzzy energy demand calculation using relative humidity and dew point temperature (i.e., a combined method of dew point temperature and relative humidity) is used; and when Ti ≤ 10℃, energy demand is calculated and controlled using dew point temperature.

[0065] In this application, the energy demand of the air conditioning system is calculated using dew point temperature, relative humidity, and return air temperature separately in the low-temperature zone, moderate zone, or high-temperature zone. In the transition zone (moderate-high temperature transition zone, low-temperature-moderate transition zone), the energy demand of the air conditioning system is calculated using a combination of relative humidity and return air temperature or a combination of dew point temperature and relative humidity. By calculating the energy demand in stages, a reasonable energy demand value is accurately calculated.

[0066] The following section provides a detailed explanation of the formulas involved in several forms of energy demand calculation.

[0067] Where Td is the dew point temperature of the current indoor return air, Ti is the current indoor return air temperature, Tj is the current indoor return air relative humidity, and Tk is the refrigerant coil outlet air temperature. A1, A2, A3, B1, B2, B3, C1, C2, and C3 are all proportional coefficients, DTi is the first-order difference of the control quantity Ti, DDTi is the second-order difference of the control quantity Ti, and so on for DTj, DDTj, DTk, and DDTk.

[0068] (1) Energy requirement calculated using return air temperature:

[0069] △Ti = Previous cycle return air temperature - Current cycle return air temperature; △T1 = Current return air temperature - Set return air temperature; Energy demand = A1*△T1+B1*DTi+C1*DDTi.

[0070] (2) Energy requirements are calculated using relative humidity:

[0071] △Tj = Relative humidity of the previous cycle - Relative humidity of the current cycle; △T2 = Current relative humidity - Set relative humidity; Energy demand = A2*△T2 + B2*DTj + C2*DDTj.

[0072] (3) Energy requirements are calculated using dew point temperature:

[0073] △Tk = Temperature after refrigerant coil in the previous cycle - Temperature after refrigerant coil in the current cycle; △T3 = Temperature after refrigerant coil in the current cycle - Dew point temperature under the current indoor return air; Energy demand = A3*△T3 + B3*DTk + C3*DDTk.

[0074] (4) Fuzzy energy demand calculation is performed using a combination of relative humidity and return air temperature:

[0075] Energy demand = Energy demand relative humidity control * (4 - 1 / 5 * Ti) + Energy demand dew point temperature control * (1 / 5 * Ti - 3)

[0076] (5) Fuzzy energy requirement calculation is performed using a dew point temperature-relative humidity combined method:

[0077] Energy demand = 1 / 3 * Energy demand dew point temperature control * (13-Ti) + 1 / 3 * Energy demand relative humidity control * (Ti-10).

[0078] When using dew point temperature for energy demand calculation, the dew point temperature near the current ambient temperature is selected based on Ti±1℃ for energy demand calculation. The current indoor return air dew point temperature Td is obtained by referring to Table 1.

[0079] Table 1 shows the dew point temperatures (unit: °C) under different ambient temperatures.

[0080]

[0081] In Table 1, if the current return air temperature Ti is 5℃, Ti±1 is 4℃ or 6℃. If the relative humidity is 80%, the dew point temperature Td of the current indoor return air is 1℃. If the current return air temperature Ti is 16℃, Ti±1 is 15℃ or 17℃. At this time, it is closest to 16℃, so select the value corresponding to 16℃ in the table. If the relative humidity is 80%, the dew point temperature Td of the current indoor return air is 12℃.

[0082] In summary, when the unit is started up during the transition season, the present application first acquires the indoor temperature (return air temperature) and relative humidity, and calculates the dew point temperature. It then determines whether the fan in the unit has been running for more than 20 seconds. If it has, the unit is considered to be operating normally; otherwise, it returns to the previous step. Next, based on the indoor temperature (return air temperature), it determines the current energy demand calculation range and enters the corresponding temperature range for energy demand calculation. This avoids situations where the selected dew point temperature is too high (27℃, 55%) or the relative humidity is too high (16℃, 75%), resulting in the actual indoor temperature and humidity control being either below, within, or above the requirements. This method can accurately calculate the energy demand value within the current range, ensuring stable indoor temperature and humidity during the transition season and greatly improving the user experience. Example

[0083] Based on the same concept as the transitional season air conditioning system energy demand calculation method provided in Embodiment 1, this embodiment also provides an energy demand calculation system. The energy demand calculation system includes a judgment module for judging the temperature range in which the pre-acquired return air temperature Ti is located; wherein, the temperature range includes a low temperature zone, a low temperature moderate transition zone, a moderate zone, a moderate high temperature transition zone, and a high temperature zone.

[0084] The energy demand calculation module is used to calculate the energy demand of the air conditioning system using the energy demand calculation method corresponding to the temperature range in which the return air temperature Ti is located; wherein, the energy demand calculation method includes return air temperature calculation, relative humidity calculation, dew point temperature calculation, relative humidity-return air temperature joint calculation or dew point temperature-relative humidity joint calculation.

[0085] The energy demand calculation system also includes a data acquisition module, which is used to acquire the return air temperature Ti. The data acquisition module can be a sensor, etc.

[0086] The energy demand calculation system also includes a feedback module, which is used to determine whether the opening time of the indoor fan of the air conditioning system exceeds a set threshold; if the opening time of the indoor fan exceeds the set threshold, the temperature range of the return air temperature Ti is determined; if the opening time of the indoor fan does not exceed the set threshold, the indoor return air temperature Ti is re-acquired.

[0087] The rest of this embodiment is the same as that of Embodiment 1, and will not be further described here. Example

[0088] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0089] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0090] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0091] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0092] As is known from common technical knowledge, this invention can be implemented through other embodiments that do not depart from its spirit or essential characteristics. Therefore, the disclosed embodiments described above are merely illustrative in all respects and are not the only ones. All modifications within the scope of this invention or its equivalents are included in this invention.

Claims

1. A method for calculating the energy demand of an air conditioning system during transitional seasons, characterized in that, include: Determine the temperature range in which the pre-acquired return air temperature Ti is located; wherein, the temperature range includes a low temperature zone, a low temperature moderate transition zone, a moderate zone, a moderate high temperature transition zone, and a high temperature zone; The energy demand of the air conditioning system is calculated using the energy demand calculation method corresponding to the temperature range in which the return air temperature Ti is located; wherein, the energy demand calculation method includes return air temperature calculation, relative humidity calculation, dew point temperature calculation, relative humidity-return air temperature joint calculation or dew point temperature-relative humidity joint calculation. The energy demand calculation methods corresponding to the temperature range where the return air temperature Ti is located include: If the return air temperature Ti is in the low temperature zone, then the calculation method should be dew point temperature. If the return air temperature Ti is in the low-temperature moderate transition zone, then the calculation method should be a joint calculation of dew point temperature and relative humidity; If the return air temperature Ti is in the moderate range, then the calculation method should be relative humidity. If the return air temperature Ti is in the moderate high temperature transition zone, then the calculation method should be a joint calculation of relative humidity and return air temperature. If the return air temperature Ti is in the high temperature zone, then the calculation method should be the return air temperature calculation. The expression for calculating energy demand from dew point temperature is: Energy demand N1 = A3 * ΔT3 + B3 * DTk + C3 * DDTk; Where A3, B3, and C3 are proportionality coefficients, △T3 = current refrigerant coil outlet temperature - dew point temperature, DTk is the first-order difference of the current refrigerant coil outlet temperature, and DDTk is the second-order difference of the current refrigerant coil outlet temperature. The expression for calculating energy demand based on relative humidity is: Energy demand N2 = A2 * ΔT2 + B2 * DTj + C2 * DDTj; Where A2, B2, and C2 are proportionality coefficients, △T2 = current relative humidity - set relative humidity, DTj is the first-order difference of the current relative humidity, and DDTj is the second-order difference of the current relative humidity; The expression for calculating energy demand from return air temperature is: Energy demand N3 = A1 * ΔT1 + B1 * DTi + C1 * DDTi; Where A1, B1, and C1 are proportionality coefficients, △T1 = current return air temperature - set return air temperature, DTi is the first-order difference of the current return air temperature, and DDTi is the second-order difference of the current return air temperature; The expression for obtaining energy demand by dew point temperature-relative humidity joint calculation is: Energy demand N4 = 1 / 3 * Energy demand N2 * (Ti - M1) + 1 / 3 * Energy demand N1 * (M2 - Ti); Where M1 is the minimum value of the return air temperature in the temperature range when energy demand is calculated using the dew point temperature-relative humidity combined method, and M2 is the maximum value of the return air temperature in the temperature range when energy demand is calculated using the dew point temperature-relative humidity combined method. The expression for calculating energy demand by combining relative humidity and return air temperature is: Energy demand N5 = Energy demand N2 * (M4 / 5 - 1 / 5 * Ti) + Energy demand N1 * (1 / 5 * Ti - M3 / 5); Wherein, M4 is the maximum value of the temperature range in which the return air temperature is located when calculating energy demand using the combined method of relative humidity and return air temperature, and M3 is the minimum value of the temperature range in which the return air temperature is located when calculating energy demand using the combined method of relative humidity and return air temperature.

2. The method for calculating the energy demand of a transitional season air conditioning system according to claim 1, characterized in that, The temperature range of the low-temperature zone is less than or equal to M1; The temperature range of the low-temperature moderate transition zone is: (M1, M2); The temperature range of the suitable zone is: (M2, M3); The temperature range of the moderate high-temperature transition zone is: (M3, M4); The temperature range of the high-temperature zone is greater than M4; Among them, M1 is 9-11℃, M2 is 12-14℃, M3 is 14-16℃, and M4 is 18-22℃.

3. The method for calculating the energy demand of a transitional season air conditioning system according to claim 1, characterized in that, The process of obtaining the indoor return air temperature Ti and determining the temperature range in which the return air temperature Ti falls also includes: Determine whether the operating time of the indoor fan of the air conditioning system exceeds the set threshold; If the indoor fan's operating time exceeds the set threshold, the temperature range of the return air temperature Ti is determined; if the indoor fan's operating time does not exceed the set threshold, the indoor return air temperature Ti is re-acquired.

4. An energy demand calculation system for a transitional season air conditioning system, characterized in that, The method for calculating the energy demand of a transitional season air conditioning system as described in claim 1 includes: The judgment module determines the temperature range in which the pre-acquired return air temperature Ti is located; wherein, the temperature range includes a low temperature zone, a low temperature moderate transition zone, a moderate zone, a moderate high temperature transition zone, and a high temperature zone; The energy demand calculation module uses the energy demand calculation method corresponding to the temperature range where the return air temperature Ti is located to calculate the energy demand of the air conditioning system; wherein, the energy demand calculation method includes return air temperature calculation, relative humidity calculation, dew point temperature calculation, relative humidity-return air temperature joint calculation or dew point temperature-relative humidity joint calculation.

5. The energy demand calculation system for a transitional season air conditioning system according to claim 4, characterized in that, It also includes a data acquisition module, which is used to acquire the return air temperature Ti.

6. The energy demand calculation system for a transitional season air conditioning system according to claim 4, characterized in that, It also includes a feedback module, which is used to determine whether the opening time of the indoor fan of the air conditioning system exceeds a set threshold; if the opening time of the indoor fan exceeds the set threshold, it determines the temperature range in which the return air temperature Ti is located; if the opening time of the indoor fan does not exceed the set threshold, it re-acquires the indoor return air temperature Ti.

7. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the method as described in any one of claims 1-3.

8. A device, characterized in that, include: Memory, used to store instructions; A processor for executing the instructions, causing the device to perform operations that implement the method as described in any one of claims 1-3.

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