Control method and device for multi-split air conditioning system, multi-split air conditioning system and computer readable storage medium

Abstract

The invention relates to the technical field of multi-split air conditioners, and discloses a control method for a multi-split air conditioner system. According to the indoor environment parameters, the current required cooling capacity is obtained; according to the current required cooling capacity, the average energy efficiency ratio is optimized through a heuristic algorithm, and the target load rate corresponding to each compressor is obtained; and according to the target load rate corresponding to each compressor, the operation frequency of each compressor is adjusted. According to the method, the average energy efficiency ratio of the outdoor unit is optimized through the heuristic algorithm, so that the outdoor unit load rate combination optimization result when the overall average energy efficiency ratio is optimal is obtained through optimization. And the respective operation frequency is adjusted in combination with the target load rate corresponding to each compressor, so that the outdoor unit can be ensured to operate in an efficient interval, the energy-saving potential of the system is fully explored, and the energy-saving effect of the system is improved. The invention further discloses a control device for the multi-split system, the multi-split system and a computer readable storage medium.

Description

Technical Field

[0001] This application relates to the technical field of multi-connected air conditioners, for example, it relates to a control method, device, multi-connected air conditioner system and computer-readable storage medium for a multi-connected air conditioner system. Background Art

[0002] Currently, under the refrigeration condition, the compressor frequency of a multi-connected air conditioner system is usually controlled according to the measured value of the low-pressure pressure. When the measured value of the low-pressure pressure is higher than the target value, the compressor frequency of the system will increase. Conversely, the compressor frequency will decrease, so as to ensure that the pressure of the system fluctuates within a certain range around the target value. However, due to the lack of mutual communication and cooperation between the indoor units and the outdoor unit, the load conditions of the indoor units cannot be transmitted to the outdoor unit in a timely and accurate manner, so there is a serious lag problem. Moreover, when the number of indoor units increases or decreases, it is easy to cause a sudden change in the low-pressure pressure of the system. At this time, the system needs to re-adjust the compressor frequency to make the low-pressure pressure return to near the target value, but this adjustment process lasts for a long time, and the low-pressure pressure oscillates frequently, resulting in the system being difficult to operate stably.

[0003] Based on this, the related art has proposed a multi-connected air conditioner control method. The multi-connected air conditioner includes an outdoor unit and a plurality of indoor units. The control method includes: obtaining the actual ambient temperature Tai, set temperature Tsi, actual ambient humidity Hai, and set humidity Hsi of the i-th turned-on indoor unit, where i = 1, 2, 3,..., N; N is the number of turned-on indoor units; calculating the comfort load rate Loadi of the i-th turned-on indoor unit; calculating the total comfort load SumLoad; and adjusting the compressor frequency and the opening degree of the expansion valve of the indoor unit according to the total comfort load SumLoad.

[0004] In the process of implementing the embodiments of the present disclosure, it is found that there are at least the following problems in the related art:

[0005] Although the related art can avoid frequent fluctuations in the compressor frequency and improve the accuracy of comfort judgment. However, it is likely to cause an increase in system energy consumption and a poor energy-saving effect.

[0006] It should be noted that the information disclosed in the above background art section is only used to enhance the understanding of the background of this application, and therefore may include information that does not constitute the prior art known to those of ordinary skill in the art. Summary of the Invention

[0007] To have a basic understanding of some aspects of the disclosed embodiments, a simple summary is given below. This summary is not a general review, nor is it intended to identify key / important constituent elements or delineate the protection scope of these embodiments, but rather serves as a preface to the subsequent detailed description.

[0008] Embodiments of the present disclosure provide a control method, apparatus, multi-connected air-conditioning system, and computer-readable storage medium for a multi-connected air-conditioning system, which can ensure that the outdoor unit operates in an efficient range, is conducive to fully exploring the energy-saving potential of the system, and improving the energy-saving effect of the system.

[0009] In some embodiments, the method includes: obtaining indoor environmental parameters; obtaining the current required cooling capacity according to the indoor environmental parameters; optimizing the average energy efficiency ratio by using a heuristic algorithm according to the current required cooling capacity to obtain the target load rate corresponding to each compressor; and adjusting the operating frequency of each compressor according to the target load rate corresponding to each compressor.

[0010] In some embodiments, the apparatus includes: a processor and a memory storing program instructions, and the processor is configured to execute the above control method for a multi-connected air-conditioning system when running the program instructions.

[0011] In some embodiments, the multi-connected air-conditioning system includes: an outdoor unit including a plurality of compressors; a plurality of indoor units; and the above control apparatus for a multi-connected air-conditioning system, which is electrically connected to the outdoor unit and the plurality of indoor units respectively.

[0012] In some embodiments, the computer-readable storage medium stores program instructions, and when the program instructions are running, the computer is caused to execute the above control method for a multi-connected air-conditioning system.

[0013] The control method, apparatus, multi-connected air-conditioning system, and computer-readable storage medium for a multi-connected air-conditioning system provided by embodiments of the present disclosure can achieve the following technical effects:

[0014] In the embodiments of the present disclosure, indoor environmental parameters are continuously obtained to obtain the current required cooling capacity, so that the indoor load situation can be predicted more accurately, enabling the outdoor unit to respond quickly and accurately to the current load demand, and thus being conducive to improving the indoor comfort. At the same time, on the basis of the current required cooling capacity, the embodiments of the present disclosure optimize the average energy efficiency ratio of the outdoor unit by using a heuristic algorithm to find the optimal combination of outdoor unit load rates when the overall average energy efficiency ratio is optimal. And the operating frequencies of each are adjusted in combination with the target load rate corresponding to each compressor, so as to ensure that the outdoor unit operates in an efficient range, which is conducive to fully exploring the energy-saving potential of the system and improving the energy-saving effect of the system.

[0015] The above general description and the following description are only exemplary and explanatory, and are not used to limit this application. Description of the Drawings

[0016] One or more embodiments are exemplarily illustrated by corresponding accompanying drawings. These exemplary illustrations and the accompanying drawings do not constitute a limitation on the embodiments. Elements with the same reference numerals in the accompanying drawings are shown as similar elements. The accompanying drawings do not constitute a scale limitation, and wherein:

[0017] Figure 1 is a schematic diagram of a control method for a multi-connected air-conditioning system provided by an embodiment of the present disclosure;

[0018] Figure 2 is a schematic diagram of another control method for a multi-connected air-conditioning system provided by an embodiment of the present disclosure;

[0019] Figure 3 is a schematic diagram of another control method for a multi-connected air-conditioning system provided by an embodiment of the present disclosure;

[0020] Figure 4 is a schematic diagram of another control method for a multi-connected air-conditioning system provided by an embodiment of the present disclosure;

[0021] Figure 5 is a schematic diagram of another control method for a multi-connected air-conditioning system provided by an embodiment of the present disclosure;

[0022] Figure 6 is a schematic diagram of a control device for a multi-connected air-conditioning system provided by an embodiment of the present disclosure. Detailed Embodiments

[0023] In order to be able to more comprehensively understand the features and technical content of the embodiments of the present disclosure, the implementation of the embodiments of the present disclosure will be described in detail below in conjunction with the accompanying drawings. The accompanying drawings are for reference and illustration purposes only and are not used to limit the embodiments of the present disclosure. In the following technical description, for the sake of explanation, numerous details are provided to give a full understanding of the disclosed embodiments. However, one or more embodiments may still be implemented without these details. In other cases, well-known structures and devices may be shown in a simplified manner.

[0024] In the description of the embodiments of the present disclosure, terms such as "first" and "second" in the specification, claims and the above accompanying drawings are used to distinguish similar objects and do not necessarily describe a specific order or sequence. It should be understood that such data may be interchanged under appropriate circumstances so as to implement the embodiments of the present disclosure described herein. In addition, the terms "comprising" and "having" and any variations thereof are intended to cover non-exclusive inclusion.

[0025] Unless otherwise specified, the term "plurality" means two or more.

[0026] In the embodiments of the present disclosure, the character " / " indicates that the objects before and after are in an "or" relationship. For example, A / B means: A or B.

[0027] The term "and / or" describes the relationship between objects and indicates that there can be three relationships. For example, A and / or B means: A or B, or, the three relationships of A and B.

[0028] The term "corresponding" can refer to a relationship of association or a binding relationship. A corresponding to B means that there is a relationship of association or a binding relationship between A and B.

[0029] Currently, under the refrigeration condition, the compressor frequency of the multi-connected air-conditioning system is usually controlled according to the measured value of the low-pressure pressure. When the measured value of the low-pressure pressure is higher than the target value, the compressor frequency of the system will increase. Conversely, the compressor frequency will decrease, so as to ensure that the pressure of the system fluctuates within a certain range around the target value. However, due to the lack of mutual communication and cooperation between the indoor unit and the outdoor unit, the load condition of the indoor unit cannot be transmitted to the outdoor unit in a timely and accurate manner, so there is a serious lag problem. And when the number of indoor units increases or decreases, it is easy to cause a sudden change in the low-pressure pressure of the system. At this time, the system needs to re-adjust the compressor frequency to make the low-pressure pressure return to near the target value, but the adjustment process takes a long time, and the low-pressure pressure oscillates frequently, resulting in the system being difficult to operate stably.

[0030] Based on this, the related technology proposes a multi-connected air-conditioning control method. The multi-connected air-conditioning includes an outdoor unit and a plurality of indoor units; the control method includes: obtaining the actual ambient temperature Tai, the set temperature Tsi, the actual ambient humidity Hai, and the set humidity Hsi of the i-th turned-on indoor unit, where i = 1, 2, 3,..., N; N is the number of turned-on indoor units; calculating the comfort load rate Loadi of the i-th turned-on indoor unit; calculating the total comfort load SumLoad; adjusting the compressor frequency and the opening degree of the expansion valve of the indoor unit according to the total comfort load SumLoad.

[0031] Although the related technology can avoid frequent fluctuations of the compressor frequency and improve the accuracy of comfort judgment. However, it is easy to cause an increase in system energy consumption and the energy-saving effect is poor.

[0032] Combined Figure 1 As shown, the embodiments of the present disclosure provide a control method for a multi-connected air-conditioning system, including:

[0033] S101, the processor obtains the indoor environment parameters.

[0034] S102, the processor obtains the current required cooling capacity according to the indoor environment parameters.

[0035] S103, the processor optimizes the average energy efficiency ratio by using a heuristic algorithm according to the current required cooling capacity, and obtains the target load rate corresponding to each compressor.

[0036] S104, the processor adjusts the operating frequencies of the compressors according to the target load ratios corresponding to the respective compressors.

[0037] By using the control method for a multi-connected air-conditioning system provided in the embodiments of the present disclosure, continuously obtaining indoor environment parameters to obtain the current required cooling capacity, it is possible to more accurately predict the indoor load situation, enabling the outdoor unit to quickly and accurately respond to the current load demand. Therefore, it is beneficial to improve the indoor comfort level. At the same time, based on the current required cooling capacity, the embodiments of the present disclosure optimize the average energy efficiency ratio of the outdoor unit through a heuristic algorithm to find the optimal combination of outdoor unit load ratios when the overall average energy efficiency ratio is optimal. And by adjusting the respective operating frequencies in combination with the target load ratios corresponding to the respective compressors, it is possible to ensure that the outdoor unit operates in the high-efficiency range, which is beneficial to fully explore the energy-saving potential of the system and improve the energy-saving effect of the system.

[0038] Optionally, the processor obtains indoor environment parameters, including: the processor obtains indoor temperature data and indoor humidity data. In this way, since the fluctuations of indoor temperature and indoor humidity are more stable than those of the low-pressure pressure, the embodiments of the present disclosure can reduce the amplitude of the frequency fluctuations of the compressors by obtaining indoor temperature data and indoor humidity data to predict the indoor load situation, which is beneficial to the more stable operation of the system.

[0039] Optionally, the indoor temperature data includes: the current ambient temperature, the set ambient temperature, and the historical ambient temperature corresponding to each indoor unit. In this way, the embodiments of the present disclosure can reasonably predict the overall indoor load situation by combining the current ambient temperature, the set ambient temperature, and the historical ambient temperature corresponding to each indoor unit to determine a more accurate current required cooling capacity, which is beneficial to better ensuring the indoor comfort level.

[0040] Optionally, the indoor humidity data includes: the current ambient humidity, the set ambient humidity, and the historical ambient humidity corresponding to each indoor unit. In this way, the embodiments of the present disclosure can reasonably predict the overall indoor load situation by combining the current ambient humidity, the set ambient humidity, and the historical ambient humidity corresponding to each indoor unit to determine a more accurate current required cooling capacity, which is beneficial to better ensuring the indoor comfort level.

[0041] Optionally, the control method for the multi-connected air-conditioning system further includes: the processor obtains the horsepower corresponding to each indoor unit. In this way, the embodiments of the present disclosure can determine the differences in the refrigeration capacities of each indoor unit by combining the horsepower corresponding to each indoor unit, which is beneficial to more accurately predicting the overall indoor load situation to determine a more accurate current required cooling capacity, which is beneficial to better ensuring the indoor comfort level.

[0042] Optionally, as shown in Figure 2 The processor obtains the current required cooling capacity according to the indoor environment parameters, including:

[0043] S201, the processor obtains the historical cooling capacity.

[0044] S202, the processor determines the current corrected cooling capacity according to the indoor temperature data and the indoor humidity data.

[0045] S203, the processor calculates the sum of the historical cooling capacity and the current corrected cooling capacity to obtain the current required cooling capacity.

[0046] In this way, the embodiments of the present disclosure can determine the current corrected cooling capacity by combining the indoor temperature data and the indoor humidity data to reasonably predict the change of the indoor load. Then, the embodiments of the present disclosure can further calculate the current required cooling capacity corresponding to the current moment based on the historical cooling capacity at the previous moment, so as to accurately predict the indoor load situation at this time, which is beneficial to the outdoor unit to quickly and accurately respond to the current load demand to better ensure the indoor comfort. At the same time, since the fluctuation degrees of the indoor temperature and the indoor humidity are relatively small, the embodiments of the present disclosure can also reduce the fluctuation amplitude of the compressor frequency, which is beneficial to the more stable operation of the system.

[0047] Optionally, as shown in Figure 3 , the processor determines the current corrected cooling capacity according to the indoor temperature data and the indoor humidity data, including:

[0048] S301, the processor obtains the first average temperature difference between the current ambient temperature and the set ambient temperature according to the current ambient temperature, the set ambient temperature and the horsepower corresponding to each indoor unit.

[0049] S302, the processor obtains the second average temperature difference between the current ambient temperature and the historical ambient temperature according to the current ambient temperature, the historical ambient temperature and the horsepower corresponding to each indoor unit.

[0050] S303, the processor obtains the first average humidity difference between the current ambient humidity and the set ambient humidity according to the current ambient humidity, the set ambient humidity and the horsepower corresponding to each indoor unit.

[0051] S304, the processor obtains the second average humidity difference between the current ambient humidity and the historical ambient humidity according to the current ambient humidity, the historical ambient humidity and the horsepower corresponding to each indoor unit.

[0052] S305, the processor obtains the current corrected cooling capacity according to the first average temperature difference, the second average temperature difference, the first average humidity difference and the second average humidity difference.

[0053] In this way, the embodiments of the present disclosure respectively obtain the first average temperature difference between the current ambient temperature and the set ambient temperature to judge the overall indoor temperature situation; obtain the second average temperature difference between the current ambient temperature and the historical ambient temperature to judge the overall indoor temperature change situation; obtain the first average humidity difference between the current ambient humidity and the set ambient humidity to judge the overall indoor humidity situation; obtain the second average humidity difference between the current ambient humidity and the historical ambient humidity to judge the overall indoor humidity change situation. Then, the embodiments of the present disclosure determine the current corrected cooling capacity according to the first average temperature difference, the second average temperature difference, the first average humidity difference and the second average humidity difference, so as to be able to more comprehensively predict the change situation of the indoor load at this time, which is beneficial to determining a more accurate current required cooling capacity.

[0054] Optionally, in the embodiments of the present disclosure, the order between step S301 and step S304 may not be specifically limited. Step S301, step S302, step S303 and step S304 may be executed in parallel or sequentially, and the execution order may vary.

[0055] Optionally, the processor obtains the first average temperature difference between the current ambient temperature and the set ambient temperature according to the current ambient temperature, the set ambient temperature and the horsepower corresponding to each indoor unit, including: the processor calculates obtains the total horsepower SumHP of the indoor units; the processor calculates obtains the first temperature difference between the current ambient temperature and the set ambient temperature corresponding to each indoor unit the processor calculates obtains the first average temperature difference ΔTavg between the current ambient temperature and the set ambient temperature t . Wherein, HP i is the horsepower of the i-th indoor unit, is the current ambient temperature of the i-th indoor unit at the current moment, is the set ambient temperature of the i-th indoor unit at the current moment, i represents the number of the indoor unit, i = 1, 2, 3,..., N, and N is the number of the turned-on indoor units.

[0056] In this way, the embodiments of the present disclosure weight the first temperature differences of each indoor unit according to the corresponding horsepower and then calculate the average value, so as to be able to calculate the overall first average temperature difference ΔTavg by integrating the capabilities of each indoor unit t , to reflect the overall indoor temperature situation, which is beneficial to more accurately predicting the indoor load situation at this time.

[0057] Optionally, the processor obtains a second average temperature difference between the current ambient temperature and the historical ambient temperature according to the current ambient temperature, the historical ambient temperature, and the capacity corresponding to each indoor unit, including: the processor calculates obtains the total capacity SumHP of the indoor units; the processor calculates obtains a second temperature difference between the current ambient temperature and the historical ambient temperature corresponding to each indoor unit The processor calculates obtains a second average temperature difference ΔΔTavg between the current ambient temperature and the historical ambient temperature t . Wherein, HP i is the capacity of the i-th indoor unit, is the current ambient temperature at the current moment of the i-th indoor unit, is the historical ambient temperature at the previous moment of the i-th indoor unit, i represents the number of the indoor unit, i = 1, 2, 3,..., N, and N is the number of the turned-on indoor units.

[0058] In this way, the second temperature differences of the indoor units in the embodiments of the present disclosure are weighted according to the corresponding capacities and then averaged, so as to calculate the overall second average temperature difference ΔΔTavg by integrating the capabilities of the indoor units t , so as to reflect the overall indoor temperature change situation, which is beneficial to more accurately predicting the indoor load situation at this time.

[0059] Optionally, the processor obtains a first average humidity difference between the current ambient humidity and the set ambient humidity according to the current ambient humidity, the set ambient humidity, and the capacity corresponding to each indoor unit, including: the processor calculates obtains the total capacity SumHP of the indoor units; the processor calculates obtains a first humidity difference between the current ambient humidity and the set ambient humidity corresponding to each indoor unit The processor calculates obtains a first average humidity difference ΔHavg between the current ambient humidity and the set ambient humidity t . Wherein, HP i is the capacity of the i-th indoor unit, is the current ambient humidity at the current moment of the i-th indoor unit, is the set ambient humidity at the current moment of the i-th indoor unit, i represents the number of the indoor unit, i = 1, 2, 3,..., N, and N is the number of the turned-on indoor units.

[0060] In this way, the first humidity differences of the indoor units in the embodiments of the present disclosure are weighted according to the corresponding capacities and then averaged, so as to calculate the overall first average humidity difference ΔHavg by integrating the capabilities of the indoor units t, to reflect the overall indoor humidity level, which is conducive to more accurately predicting the indoor load situation at this time.

[0061] Optionally, the processor obtains the second average humidity difference between the current ambient humidity and the historical ambient humidity according to the current ambient humidity, historical ambient humidity, and capacity corresponding to each indoor unit, including: the processor calculates to obtain the total capacity SumHP of the indoor units; the processor calculates to obtain the second humidity difference between the current ambient humidity and the historical ambient humidity corresponding to each indoor unit The processor calculates to obtain the second average humidity difference ΔΔHavg between the current ambient humidity and the historical ambient humidity t . Where, HP i is the capacity of the i-th indoor unit, is the current ambient humidity at the current moment of the i-th indoor unit, is the historical ambient humidity at the previous moment of the i-th indoor unit, i represents the number of the indoor unit, i = 1, 2, 3,..., N, and N is the number of turned-on indoor units.

[0062] In this way, the second humidity differences of each indoor unit in the embodiments of the present disclosure are weighted according to the corresponding capacities and then averaged, so as to be able to calculate the overall second average humidity difference ΔΔHavg by integrating the capabilities of each indoor unit t , to reflect the overall change in indoor humidity, which is conducive to more accurately predicting the indoor load situation at this time.

[0063] Optionally, the processor obtains the current corrected cooling capacity according to the first average temperature difference, the second average temperature difference, the first average humidity difference, and the second average humidity difference, including: the processor determines the current cooling capacity correction ratio according to the first average temperature difference, the second average temperature difference, the first average humidity difference, and the second average humidity difference; the processor calculates the product of the historical cooling capacity and the current cooling capacity correction ratio to obtain the current corrected cooling capacity. In this way, the embodiments of the present disclosure can determine the current cooling capacity correction ratio according to the first average temperature difference, the second average temperature difference, the first average humidity difference, and the second average humidity difference, and by multiplying the historical cooling capacity at the previous moment by the current cooling capacity correction ratio, the appropriate current corrected cooling capacity can be determined, which is conducive to more accurately predicting the indoor load situation at this time.

[0064] Optionally, the processor determines the current cooling capacity correction ratio according to the first average temperature difference, the second average temperature difference, the first average humidity difference, and the second average humidity difference, including: the processor calculates to obtain the current cooling capacity correction ratio where a + b = 1, c + d = 1, e + f = 1, a is the weight of the ambient temperature on the current cooling capacity correction ratio, b is the weight of the ambient humidity on the current cooling capacity correction ratio, and c and d respectively represent the first average temperature difference ΔTavg t and the second average temperature difference ΔΔTavg t in the proportion of the ambient temperature weight, and e and f respectively represent the first average humidity difference ΔHavg t and the second average humidity difference ΔΔHavg t in the proportion of the ambient humidity weight; max(ΔTavg t ) is the first average temperature difference threshold, max(ΔΔTavg t ) is the second average temperature difference threshold, max(ΔHavg t ) is the first average humidity difference threshold, and max(ΔΔHavg t ) is the second average humidity difference threshold.

[0065] In this way, the embodiments of the present disclosure can allocate appropriate weight coefficients to the ambient temperature and ambient humidity, and respectively set appropriate proportion coefficients for the first average temperature difference, the second average temperature difference, the first average humidity difference, and the second average humidity difference, so as to comprehensively consider the numerical values and change trends of the indoor temperature and humidity, and determine a more appropriate current cooling capacity correction ratio, which is beneficial to more accurately predicting the indoor load situation at this time.

[0066] Optionally, the input parameter thresholds and weight proportions of the current cooling capacity correction ratio can be as shown in Table 1 below:

[0067] Table 1

[0068]

[0069] Optionally, as shown in Figure 4 , the processor optimizes the average energy efficiency ratio using a heuristic algorithm according to the current required cooling capacity, and obtains the predicted load rates corresponding to each compressor, including:

[0070] S401, the processor obtains the capacity and energy efficiency ratio curves corresponding to each compressor.

[0071] S402, the processor determines the objective function of the average energy efficiency ratio according to the capacity and energy efficiency ratio curves corresponding to each compressor.

[0072] S403, the processor determines the boundary conditions of the objective function according to the current required cooling capacity.

[0073] S404, the processor determines the optimal average energy efficiency ratio using a heuristic algorithm according to the objective function and the boundary conditions, and obtains the target load rates corresponding to each compressor under the optimal average energy efficiency ratio.

[0074] In this way, the embodiments of the present disclosure obtain the capacity and energy efficiency ratio curves corresponding to each compressor, then generate an objective function with the optimal overall average energy efficiency ratio, and set boundary conditions with the current required cooling capacity, so that the problem of optimizing the outdoor unit load combination can be abstracted into a mathematical problem. By using a heuristic algorithm, the embodiments of the present disclosure can optimize the average energy efficiency ratio of the outdoor unit to find the optimal result of the outdoor unit load rate combination when the overall average energy efficiency ratio is optimal. Further, by adjusting the respective operating frequencies in combination with the target load rates corresponding to each compressor, the embodiments of the present disclosure can ensure that the outdoor unit operates in the high-efficiency range, which is beneficial to fully exploring the energy-saving potential of the system and improving the energy-saving effect of the system.

[0075] Specifically, the outdoor unit can be divided into multiple independent compressors, and the capacity of each compressor is represented by C j , and the load rate is represented by X j . Then, the capacity and load distribution of the outdoor unit are as follows:

[0076] C = [C 1 , C 2 … C j , … C N

[0077] X = [X 1 , X 2 … X j , … X N

[0078] In the formula, j = 1, 2, 3,..., N, j represents the compressor number, and N represents the number of compressors.

[0079] At the same time, for each compressor, there is a corresponding energy efficiency ratio performance curve. Since the energy efficiency ratio COP j of each compressor is related to its corresponding load rate X j , evaporation temperature ET, and condensation temperature CT, its energy efficiency ratio curve can be expressed as a mathematical expression:

[0080] COP j = f(X j , ET, CT)

[0081] For a given evaporation temperature ET and condensation temperature CT, the energy efficiency ratio COP j of each compressor can be fitted with a cubic polynomial of the load rate X j , and the result can be expressed as:

[0082] COP j = k 3 X j 3 + k2 X j 2 +k 1 X j +k 0

[0083] For the current required cooling capacity Q t , it needs to be allocated to each compressor. The cooling capacity of each compressor is represented by Q j , and the total cooling capacity Q of the outdoor unit can be obtained as follows:

[0084]

[0085] Based on this, the average energy efficiency ratio COPavg of the outdoor unit can be obtained, and its expression is:

[0086]

[0087] In the formula, w j represents the power of each compressor.

[0088] Thus, the embodiment of the present disclosure can decompose the problem of optimizing the outdoor unit load combination into maximizing the average energy efficiency ratio COPavg of the outdoor unit under the condition that the total cooling capacity Q is greater than or equal to the current required cooling capacity Q t .

[0089] At this time, the objective function of this optimization problem is:

[0090]

[0091] In the formula, ξ is a very small number to prevent the denominator of the objective function from being 0 in the algorithm. Optionally, ξ = 0.01%.

[0092] The corresponding boundary conditions are:

[0093]

[0094] Optionally, after the processor determines the objective function of the average energy efficiency ratio according to the capacity and energy efficiency ratio curves corresponding to each compressor, it further includes: the processor sets a penalty function for the objective function. In this way, the embodiment of the present disclosure can introduce a penalty function to make the total cooling capacity Q as close as possible to the current required cooling capacity Q t , thereby facilitating the improvement of the system energy-saving effect.

[0095] Specifically, the penalty function can be set as:

[0096]

[0097] In the formula, e 0 is the threshold value of the cooling capacity difference. Optionally, e0 = 0.4 kW.

[0098] Optionally, the heuristic algorithms used in the embodiments of the present disclosure include simulated annealing algorithms, genetic algorithms, particle swarm algorithms, etc., and no specific limitations are imposed thereon. Thus, the embodiments of the present disclosure can utilize appropriate heuristic algorithms to optimize the average energy efficiency ratio of the outdoor unit, so as to find an optimization result of the outdoor unit load rate combination corresponding to an optimal average energy efficiency ratio, and have good calculation efficiency and flexibility.

[0099] Optionally, in combination with Figure 5 as shown, the processor adjusts the operating frequencies of the respective compressors according to the target load rates corresponding to the respective compressors, including:

[0100] S501, the processor obtains the maximum operating frequencies corresponding to the respective compressors.

[0101] S502, the processor calculates the product of the target load rate corresponding to each compressor and the maximum operating frequency to obtain the target operating frequency corresponding to each compressor.

[0102] S503, the processor controls each compressor to operate at the corresponding target operating frequency.

[0103] In this way, the embodiments of the present disclosure determine the respective target operating frequencies according to the maximum operating frequencies and target load rates corresponding to the respective compressors, and then issue control instructions to make them operate at the target operating frequencies, so as to ensure that the outdoor unit operates in the high-efficiency range, which is beneficial to fully exploring the energy-saving potential of the system and improving the energy-saving effect of the system.

[0104] Specifically, in one embodiment, the multi-connected air-conditioning system operates in the refrigeration condition, the number of compressors of the outdoor unit is 4, and the capacities C j of the compressors are 25 kW, 20 kW, 15 kW, and 15 kW respectively. Among them, the evaporation temperature ET = 0 °C, the condensation temperature CT = 50 °C, and the polynomial coefficients of the COP j of each compressor are obtained by polynomial fitting. The specific data in the refrigeration condition is shown in Table 2 below:

[0105] Table 2

[0106]

[0107] In practical applications, taking the genetic algorithm as an example for illustration, the population size pop_size is set to 500, the maximum number of generations G is 100, the crossover rate c 0 is 0.8, the mutation rate m is 0.1, and the upper and lower limits of the load rate X j are both [0, 1]. The genetic algorithm is used to optimize the load rate combination under the required cooling capacity Q tUnder the conditions of 10kW, 20kW, 30kW, 40kW, 50kW, 60kW, and 70kW respectively, multiple groups of optimized results of the outdoor unit load rate combination are obtained. The specific data is shown in Table 3 below:

[0108] Table 3

[0109]

[0110] After obtaining the load rate X of each compressor j Based on the maximum operating frequency RPS of each compressor max Then, the operating frequency f of each compressor j is expressed by the following formula:

[0111] f j = X j * RPS max

[0112] Among them, the maximum operating frequency RPS corresponding to Compressors 1-4 max is shown in Table 4 below:

[0113] Table 4

[0114]

[0115] According to the maximum operating frequency and target load rate corresponding to each compressor above, the optimized results of the operating frequency of each compressor under different required cooling capacities Q t are shown in Table 5 below:

[0116] Table 5

[0117]

[0118] After obtaining the optimized results of the operating frequency of each compressor, the control instructions are sent to each compressor, and each compressor will adjust according to the sent target operating frequency. The total cooling capacity of the outdoor unit is distributed to each indoor unit. Under the action of the cooling capacity of each indoor unit and the indoor load, the indoor environmental temperature and humidity will change. At the next moment, continue to calculate the new required cooling capacity based on the indoor temperature data and indoor humidity data, and then repeat the heuristic algorithm optimization process to ensure that the system always has good energy efficiency.

[0119] Combined with Figure 6As shown in the figure, an embodiment of the present disclosure provides a control device for a multi-connected air conditioner system, including a processor 601 and a memory 602. Optionally, the control device may further include a communication interface 603 and a bus 604. Among them, the processor 601, the communication interface 603, and the memory 602 can complete communication with each other through the bus 604. The communication interface 603 can be used for information transmission. The processor 601 can call the logical instructions in the memory 602 to execute the control method for the multi-connected air conditioner system in the above embodiment.

[0120] In addition, when the logical instructions in the above-mentioned memory 602 are implemented in the form of software functional units and sold or used as an independent product, they can be stored in a computer-readable storage medium.

[0121] The memory 602, as a computer-readable storage medium, can be used to store software programs and computer-executable programs, such as the program instructions / modules corresponding to the method in the embodiment of the present disclosure. The processor 601 executes functional applications and data processing by running the program instructions / modules stored in the memory 602, that is, implements the control method for the multi-connected air conditioner system in the above embodiment.

[0122] The memory 602 may include a program storage area and a data storage area. Among them, the program storage area can store an operating system and application programs required for at least one function; the data storage area can store data created according to the use of the terminal device. In addition, the memory 602 may include a high-speed random access memory and may also include a non-volatile memory.

[0123] An embodiment of the present disclosure provides a multi-connected air conditioner system, including: an outdoor unit, a plurality of indoor units, and the above-mentioned control device for the multi-connected air conditioner system. The outdoor unit includes a plurality of compressors. The control device for the multi-connected air conditioner system is installed on the outdoor unit and is electrically connected to the outdoor unit and a plurality of indoor units respectively. The installation relationship described here is not limited to being placed inside the outdoor unit, but also includes installation connections with other components of the multi-connected air conditioner system, including but not limited to physical connections, electrical connections, or signal transmission connections, etc. Those skilled in the art can understand that the control device for the multi-connected air conditioner system can be adapted to a feasible system, and thus implement other feasible embodiments.

[0124] An embodiment of the present disclosure provides a computer-readable storage medium storing computer-executable instructions, and the computer-executable instructions are set to execute the above-mentioned control method for the multi-connected air conditioner system.

[0125] The technical solution of the embodiments of the present disclosure can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes one or more instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method described in the embodiments of the present disclosure. The aforementioned storage medium may be a non-transitory storage medium, such as: a USB flash drive, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a magnetic disk, or an optical disc, etc., which are various media that can store program codes.

[0126] The above description and the drawings fully illustrate the embodiments of the present disclosure, enabling those skilled in the art to practice them. Other embodiments may include structural, logical, electrical, process, and other changes. Embodiments merely represent possible variations. Unless explicitly required, individual components and functions are optional, and the order of operations may vary. Parts and features of some embodiments may be included in or substituted for parts and features of other embodiments. Moreover, the terms used in this application are only for describing the embodiments and are not used to limit the claims. As used in the description of the embodiments and the claims, unless the context clearly indicates otherwise, the singular forms "a", "an", and "the" are intended to also include the plural forms. Similarly, as used in this application, the term "and / or" refers to any and all possible combinations including one or more of the associated listed items. Additionally, when used in this application, the term "comprise" and its variants "comprises" and / or "comprising", etc. refer to the presence of the stated features, wholes, steps, operations, elements, and / or components, but do not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components, and / or groups of these. Without further limitation, an element defined by the statement "comprising one..." does not exclude the presence of another identical element in the process, method, or device including the element. In this document, each embodiment may focus on the differences from other embodiments, and the same or similar parts among the embodiments may be referred to each other. For the methods, products, etc. disclosed in the embodiments, if they correspond to the method part disclosed in the embodiments, the relevant parts may refer to the description of the method part.

[0127] Those skilled in the art can realize that the units and algorithm steps of each example described in combination with the embodiments disclosed herein can be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are executed in a hardware or software manner may depend on the specific application and design constraints of the technical solution. The skilled person can use different methods for each specific application to implement the described functions, but such implementation should not be considered to exceed the scope of the embodiments of the present disclosure. The skilled person can clearly understand that for the convenience and conciseness of description, the specific working processes of the systems, devices, and units described above can refer to the corresponding processes in the foregoing method embodiments and will not be elaborated herein.

[0128] In the embodiments disclosed herein, the disclosed methods, products (including but not limited to devices, equipment, etc.) can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of the units can be merely a logical function division, and there can be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Additionally, the displayed or discussed couplings or direct couplings or communication connections to each other can be through some interfaces, and the indirect couplings or communication connections of the devices or units can be in electrical, mechanical, or other forms. The units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they can be located in one place or distributed to multiple network units. Some or all of the units can be selected according to actual needs to implement this embodiment. Additionally, in the embodiments of the present disclosure, the functional units can be integrated in a processing unit, or each unit can exist physically separately, or two or more units can be integrated in one unit.

[0129] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to embodiments of the present disclosure. In this regard, each block in the flowchart or block diagram may represent a module, a segment of a program, or a portion of code that contains one or more executable instructions for implementing a specified logical function. In some alternative implementations, the functions noted in the blocks may occur in a different order than noted in the accompanying drawings. For example, two consecutive blocks may in fact be executed substantially in parallel, or they may sometimes be executed in the reverse order, depending on the functions involved. In the descriptions corresponding to the flowcharts and block diagrams in the accompanying drawings, the operations or steps corresponding to different blocks may also occur in a different order than disclosed in the description, and sometimes there is no specific order between different operations or steps. For example, two consecutive operations or steps may in fact be executed substantially in parallel, or they may sometimes be executed in the reverse order, depending on the functions involved. Each block in the block diagram and / or flowchart, and combinations of blocks in the block diagram and / or flowchart, can be implemented by a dedicated hardware-based system that performs the specified functions or actions, or can be implemented by a combination of dedicated hardware and computer instructions.

Claims

1. A control method for a multi-connected air-conditioning system, characterized in that, it includes: Obtaining indoor environmental parameters; Obtaining the current required cooling capacity according to the indoor environmental parameters; Optimizing the average energy efficiency ratio by using a heuristic algorithm according to the current required cooling capacity, and obtaining the target load ratio corresponding to each compressor; Adjusting the operating frequency of each compressor according to the target load ratio corresponding to each compressor.

2. The method according to claim 1, characterized in that, Optimizing the average energy efficiency ratio by using a heuristic algorithm according to the current required cooling capacity, and obtaining the predicted load ratio corresponding to each compressor, including: Obtaining the capacity and energy efficiency ratio curve corresponding to each compressor; Determining the objective function of the average energy efficiency ratio according to the capacity and energy efficiency ratio curve corresponding to each compressor; Determining the boundary conditions of the objective function according to the current required cooling capacity; Determining the optimal average energy efficiency ratio by using a heuristic algorithm according to the objective function and the boundary conditions, and obtaining the target load ratio corresponding to each compressor under the optimal average energy efficiency ratio.

3. The method according to claim 2, characterized in that, After determining the objective function of the average energy efficiency ratio according to the capacity and energy efficiency ratio curve corresponding to each compressor, it further includes: Setting a penalty function for the objective function.

4. The method according to claim 1, characterized in that, Adjusting the operating frequency of each compressor according to the target load ratio corresponding to each compressor, including: Obtaining the maximum operating frequency corresponding to each compressor; Calculating the product of the target load ratio and the maximum operating frequency corresponding to each compressor, and obtaining the target operating frequency corresponding to each compressor; Controlling each compressor to operate at the corresponding target operating frequency.

5. The method according to any one of claims 1 to 4, characterized in that, Obtaining the current required cooling capacity according to the indoor environmental parameters, including: Obtaining the historical cooling capacity; Determining the current corrected cooling capacity according to the indoor temperature data and the indoor humidity data; Calculating the sum value of the historical cooling capacity and the current corrected cooling capacity, and obtaining the current required cooling capacity.

6. The method according to claim 5, characterized in that, Determining the current corrected cooling capacity according to the indoor temperature data and the indoor humidity data, including: Obtaining the first average temperature difference between the current environmental temperature and the set environmental temperature according to the current environmental temperature, the set environmental temperature and the horsepower corresponding to each indoor unit; Obtaining the second average temperature difference between the current environmental temperature and the historical environmental temperature according to the current environmental temperature, the historical environmental temperature and the horsepower corresponding to each indoor unit; Obtaining the first average humidity difference between the current environmental humidity and the set environmental humidity according to the current environmental humidity, the set environmental humidity and the horsepower corresponding to each indoor unit; Obtaining the second average humidity difference between the current environmental humidity and the historical environmental humidity according to the current environmental humidity, the historical environmental humidity and the horsepower corresponding to each indoor unit; Obtaining the current corrected cooling capacity according to the first average temperature difference, the second average temperature difference, the first average humidity difference and the second average humidity difference.

7. The method according to claim 6, characterized in that, Obtain the current corrected cooling capacity according to the first average temperature difference, the second average temperature difference, the first average humidity difference, and the second average humidity difference, including: Determine the current cooling capacity correction ratio according to the first average temperature difference, the second average temperature difference, the first average humidity difference, and the second average humidity difference; Calculate the product of the historical cooling capacity and the current cooling capacity correction ratio to obtain the current corrected cooling capacity.

8. A control device for a multi-connected air conditioner system, comprising a processor and a memory storing program instructions, characterized in that, the processor is configured to execute the control method for a multi-connected air conditioner system according to any one of claims 1 to 7 when running the program instructions.

9. A multi-connected air conditioner system, characterized in that, comprising: an outdoor unit including a plurality of compressors; a plurality of indoor units; the control device for a multi-connected air conditioner system according to claim 8, which is electrically connected to the outdoor unit and the plurality of indoor units respectively.

10. A computer-readable storage medium storing program instructions, characterized in that, the program instructions, when running, are used to cause a computer to execute the control method for a multi-connected air conditioner system according to any one of claims 1 to 7.

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