A method and system for operation simulation of a heat pump air conditioning unit

Abstract

This invention relates to the field of equipment operation simulation technology, specifically to a method and system for simulating the operation of heat pump air conditioning units. The method includes: acquiring several environmental and operational data points for several heat pump air conditioning units; calculating the environmental operating coefficient of each heat pump air conditioning unit based on the numerical distribution of each environmental data point; clustering the heat pump air conditioning units based on the combined environmental operating coefficients of all units; dividing the operating cycle; analyzing the aging of the heat pump air conditioning units based on the operating time of units with different power levels within any given operating cycle, thereby obtaining the aging index of the heat pump air conditioning units; performing operational simulation on the heat pump air conditioning units using simulation software; and adjusting the operational response time during the simulation process based on the aging index of the heat pump air conditioning units in the cluster. This invention can better adapt to the impact of equipment aging on the control system, thereby improving the simulation effect of heat pump air conditioning units.

Description

Technical Field

[0001] This invention relates to the field of equipment operation simulation technology, specifically to an operation simulation method and system for heat pump air conditioning units. Background Technology

[0002] As a key component of modern building energy conservation, the operating efficiency and control precision of heat pump air conditioning units directly impact building energy consumption and indoor environmental comfort. Before actual installation and operation, it is necessary to conduct simulation experiments on the operating status of the heat pump air conditioning unit to simulate its dynamic response under transient conditions such as start-up, shutdown, sudden load changes, and defrosting processes. This includes aspects such as temperature change efficiency, pressure change stability, and the comfort level of the target (controlled) area after adjustment, providing a basis for optimizing control strategies and reducing impact.

[0003] In actual operation, due to the long-term operation of heat pump air conditioning units and the influence of environmental factors, the equipment undergoes aging to varying degrees. Using a fixed time constant T (the system's response speed) to predict and evaluate the equipment's operating status makes it difficult to account for the control mismatch caused by the aging phenomenon resulting from corrosion of equipment components during operation, which leads to an increase in the time constant. This results in the heat pump air conditioning unit's operating simulation model failing to achieve the expected results when adjusting the temperature of the target area.

[0004] The operation simulation model of heat pump air conditioning unit is often used to simulate and analyze the operation of new equipment, while ignoring the impact of equipment aging on the operation after long-term operation. For example, equipment aging can lead to a slower adjustment response in actual operation, resulting in a time difference between the actual operation and the adjustment response in the operation simulation. In other words, the fixed time constant cannot predict the control mismatch caused by aging, which can lead to the heat pump air conditioning unit failing to achieve the predetermined comfort level or having low efficiency in temperature change of the target location when adjusting the temperature. Summary of the Invention

[0005] This invention provides an operation simulation method and system for heat pump air conditioning units to solve existing problems.

[0006] The present invention provides an operation simulation method and system for heat pump air conditioning units, which adopts the following technical solution:

[0007] One embodiment of the present invention provides an operation simulation method for heat pump air conditioning units, the method comprising the following steps:

[0008] Several environmental and operational data of several heat pump air conditioning units are acquired respectively, including operating time and power;

[0009] By utilizing the numerical distribution of each environmental data point, the environmental operating coefficient of the heat pump air conditioning unit is calculated. The heat pump air conditioning units are then clustered based on the environmental operating coefficients of all heat pump air conditioning units, resulting in several clusters.

[0010] The operating cycle of the heat pump air conditioning unit is divided, and the aging of the heat pump air conditioning unit is analyzed by combining the operating time of heat pump air conditioning units with different power in any operating cycle, so as to obtain the aging index of the heat pump air conditioning unit.

[0011] The operation of the heat pump air conditioning unit was simulated using simulation software, and the operation response time during the simulation process was adjusted based on the aging index of the heat pump air conditioning unit in the cluster.

[0012] Furthermore, the specific method for calculating the environmental operating coefficient of the heat pump air conditioning unit using the numerical distribution of each environmental data point includes:

[0013] For any environmental data, the values ​​of all data points in the environmental data are statistically analyzed and a histogram is formed. The data point with the highest frequency in the histogram is taken as the principal environmental value. The range and standard deviation of the environmental data are obtained. Based on the principal environmental value, range, and standard deviation, the environmental operating coefficient of the heat pump air conditioning unit under the environmental data is obtained. The principal environmental value, range, and standard deviation are all positively correlated with the environmental operating coefficient.

[0014] Furthermore, the method of clustering the heat pump air conditioning units by combining all environmental operating coefficients of all heat pump air conditioning units to obtain several clusters includes:

[0015] For any heat pump air conditioning unit, the environmental operating coefficients of the heat pump air conditioning unit under all environmental data are formed into an array, which is used as the environmental array of the heat pump air conditioning unit. The Euclidean distance between the environmental arrays of any heat pump air conditioning unit is obtained as the distance metric of the K-means algorithm. The K-means algorithm is then used to cluster all heat pump air conditioning units to obtain several clusters.

[0016] Furthermore, the specific methods for dividing the operating cycle of the heat pump air conditioning unit, combining the operating time of heat pump air conditioning units with different power levels within any operating cycle, and analyzing the aging status of the heat pump air conditioning unit to obtain the aging index of the heat pump air conditioning unit are as follows:

[0017] Based on the power variation differences of different heat pump air conditioning units within any operating cycle, and combined with the operating time, the difference influence coefficient of heat pump air conditioning units is calculated.

[0018] Based on the adjustment of the operating settings of different heat pump air conditioning units within any operating cycle, and combined with the differences between performance coefficients, the difference influence coefficient is adjusted to obtain the influence relationship parameters of the heat pump air conditioning units; based on the influence relationship parameters and combined with the performance coefficients and total operating time of the heat pump air conditioning units within the operating cycle, the aging index of the heat pump air conditioning units is obtained.

[0019] Furthermore, the specific method for calculating the difference in the power variation of different heat pump air conditioning units within any operating cycle, combined with the operating time, includes:

[0020] One quarter is taken as an operating cycle. Any heat pump air conditioning unit is designated as the target heat pump air conditioning unit. Based on the power difference between the start and end times of the target heat pump air conditioning unit in any operating cycle, and the total operating time of the heat pump air conditioning unit in the operating cycle, the performance coefficient of the heat pump air conditioning unit in the operating cycle is obtained.

[0021] The heat pump air conditioning unit with the highest average power exceeding the rated power during the operating cycle is designated as a high-power unit. Based on the high-power operation of the high-power unit, the high-power operation ratio coefficient is calculated. In addition, the difference influence coefficient of the target heat pump air conditioning unit is calculated by combining the difference in performance coefficient between the target heat pump air conditioning unit and the high-power unit.

[0022] Furthermore, the specific method for determining the aging index of the heat pump air conditioning unit is as follows:

[0023] Based on the adjustment of the operating settings of different heat pump air conditioning units within any operating cycle, the high-frequency units are obtained and the influence factor is calculated. Based on the influence factor, the performance coefficient difference between the heat pump air conditioning units and the high-frequency units, and the difference influence coefficient of the heat pump air conditioning units, the influence relationship parameters of the heat pump air conditioning units are obtained. The influence factor and the influence relationship parameters are negatively correlated, and the performance coefficient difference and the difference influence coefficient are positively correlated with the influence relationship parameters.

[0024] By combining the performance coefficient and influence parameters of the heat pump air conditioning unit in any operating cycle, the performance degradation coefficient of the heat pump air conditioning unit in the operating cycle is obtained.

[0025] The aging coefficient of the heat pump air conditioning unit is obtained by using the operating time of the heat pump air conditioning unit as a weight and combining it with the performance degradation coefficient of the heat pump air conditioning unit.

[0026] Furthermore, the specific method for obtaining high-frequency units and calculating influencing factors based on the adjustment of operating settings of different heat pump air conditioning units within any operating cycle includes:

[0027] The frequency at which the operating settings of any heat pump air conditioning unit are adjusted is recorded as the adjustment frequency of the heat pump air conditioning unit. The heat pump air conditioning unit with the adjustment frequency greater than the average adjustment frequency of all heat pump air conditioning units and the largest value of the adjustment frequency is regarded as the high-frequency unit. The heat pump air conditioning unit operating at rated power is regarded as the reference unit. The influence factor is calculated based on the adjustment frequency and running time of the high-frequency unit relative to the reference unit.

[0028] Furthermore, the specific method for obtaining the aging coefficient of the heat pump air conditioning unit by using the operating time of the heat pump air conditioning unit as a weight and combining it with the performance degradation coefficient of the heat pump air conditioning unit includes:

[0029] The specific calculation method for the aging index of the heat pump air conditioning unit is as follows: ;in, This indicates the aging index of the heat pump air conditioning unit; Indicates the number of running cycles. This indicates that the heat pump air conditioning unit is in the first The total runtime of each running cycle; This indicates that the heat pump air conditioning unit is in the first Performance degradation coefficient over a single operating cycle.

[0030] Furthermore, the specific method for using simulation software to simulate the operation of the heat pump air conditioning unit and adjusting the operating response time during the simulation process based on the aging index of the heat pump air conditioning unit in the cluster is as follows:

[0031] The aging index of all heat pump air conditioning units in the cluster where the target heat pump air conditioning unit is located is obtained and a normal distribution is fitted. The aging index corresponding to the peak point in the normal distribution fitting result is taken as the actual aging index of the target heat pump air conditioning unit.

[0032] The operating response time constant is preset, and the preset operating response time constant is corrected by using the actual aging index of the target heat pump air conditioning unit. The corrected operating response time constant is then input into the operating simulation model of the heat pump air conditioning unit to improve the simulation realism of the heat pump air conditioning unit during the operating simulation process.

[0033] An operation simulation system for heat pump air conditioning units includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the steps of any one of the operation simulation methods for heat pump air conditioning units.

[0034] The beneficial effects of the technical solution of this invention are as follows: By calculating the aging index, the aging degree of the equipment can be reflected in real time, thereby providing a scientific basis for optimizing the control strategy and avoiding adjustment response errors caused by equipment aging; by clustering and analyzing the operating data of different equipment, it can adapt to the aging of equipment under different environments and operating conditions, providing personalized simulation models and enhancing the adaptability and flexibility of the system; by accurately predicting the control mismatch phenomenon that may occur during the aging process of the equipment, corresponding adjustments can be made in the system design and control strategy formulation stages to avoid energy waste or indoor environmental discomfort caused by control mismatch; accurate simulation can not only improve the stability and efficiency of equipment operation, but also help reduce the negative impact of equipment aging on energy efficiency, achieve energy-saving optimization, effectively combine the aging characteristics of heat pump air conditioning units, improve the traditional simulation method, and better adapt to the impact of equipment aging on the control system, thereby improving the overall operating efficiency and comfort control accuracy of the system. Attached Figure Description

[0035] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0036] Figure 1 This is a flowchart illustrating the steps of an operation simulation method for heat pump air conditioning units according to the present invention.

[0037] Figure 2 This is a structural block diagram of an operation simulation system for heat pump air conditioning units according to the present invention. Detailed Implementation

[0038] To further illustrate the technical means and effects adopted by the present invention to achieve its intended purpose, the following, in conjunction with the accompanying drawings and preferred embodiments, details the specific implementation, structure, features, and effects of a simulation method and system for operation of heat pump air conditioning units proposed according to the present invention. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. Furthermore, specific features, structures, or characteristics in one or more embodiments can be combined in any suitable form.

[0039] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains.

[0040] The following description, in conjunction with the accompanying drawings, details a specific scheme for an operation simulation method and system for heat pump air conditioning units provided by the present invention.

[0041] Please see Figure 1 The diagram illustrates a flowchart of an operational simulation method for a heat pump air conditioning unit according to an embodiment of the present invention. The method includes the following steps:

[0042] Step S001: Obtain several environmental and operational data for several heat pump air conditioning units respectively.

[0043] It should be noted that in actual application scenarios, the corrosion and interference experienced by heat pump air conditioning units vary across different areas due to environmental differences, leading to operational anomalies compared to ideal conditions. Therefore, to avoid regional biases in operational simulations caused by using the same set of test data in different environments, resulting in simulation results that lack universality, it is necessary to collect environmental data such as air temperature and humidity, and water quality in the equipment's operating environment. Besides environmental interference, operational simulations primarily rely on the equipment's basic parameters as the theoretical basis for operation, thereby effectively constructing simulations of the heat pump air conditioning unit's operation. Therefore, it is necessary to monitor the actual operating data of each parameter during actual operation and record the data according to the monitoring time sequence to obtain the corresponding time-series data.

[0044] Specifically, in order to implement the operation simulation method for heat pump air conditioning units proposed in this embodiment, it is first necessary to collect environmental data and operational data of the heat pump air conditioning units. The specific process is as follows:

[0045] First, the temperature and humidity of the environment in which the heat pump air conditioning unit operates are obtained through temperature and humidity sensors, and the resulting temperature and humidity data are collectively referred to as environmental data.

[0046] Then, obtain the operating data of the heat pump air conditioning unit.

[0047] Thus, environmental and operational data have been obtained through the methods described above.

[0048] Step S002: Calculate the environmental operating coefficient of the heat pump air conditioning unit by utilizing the numerical distribution of each environmental data, and cluster the heat pump air conditioning units by combining all environmental operating coefficients of all heat pump air conditioning units to obtain several clusters.

[0049] It should be noted that heat pump air conditioning units are subject to environmental interference during actual operation, which can lead to corrosion. Since the components of the heat pump air conditioning units produced by the company are supplied by a unified enterprise and assembled in an industrialized manner, the degree of environmental corrosion on the units is similar. Therefore, when monitoring and acquiring data from the monitored units, the abnormal operation caused by equipment interference due to corrosion is similar. Thus, the differences in the monitoring data based on the environment in which the monitoring equipment is located can be used to effectively classify the units.

[0050] Specifically, firstly, the environmental operating coefficient of the heat pump air conditioning unit is calculated by utilizing the numerical distribution of each environmental data point.

[0051] As a preferred embodiment, the method for obtaining the environmental operating coefficient of the heat pump air conditioning unit is as follows: for any environmental data, the values ​​of all data points in the environmental data are statistically analyzed and a histogram is formed. The data point corresponding to the highest frequency in the histogram is taken as the principal environmental value. The range and standard deviation of the environmental data are obtained. Based on the principal environmental value, range, and standard deviation, the environmental operating coefficient of the heat pump air conditioning unit under the environmental data is obtained, wherein the principal environmental value, range, and standard deviation are all positively correlated with the environmental operating coefficient.

[0052] As an optional embodiment, for any environmental data, the specific calculation method for the environmental operating coefficient of the heat pump air conditioning unit under the environmental data is as follows:

[0053] In the formula, This indicates the environmental operating coefficient of the heat pump air conditioning unit under the stated environmental data; This represents the main environmental value of the environmental data; This indicates the range of the environmental data; This represents the standard deviation of the environmental data; This represents the linear normalization function.

[0054] It should be noted that since the ambient temperature and humidity of a heat pump air conditioning unit are constantly changing during operation, using the mean or a value at a specific moment may lead to incomplete feature coverage and reduce the accuracy of environmental segmentation. Therefore, in this embodiment of the invention, the actual monitoring data values ​​are processed according to a normal distribution during continuous monitoring to obtain the density of each actual monitoring value in historical monitoring. Simultaneously, drastic changes in ambient temperature are also an important parameter affecting the impact of the environment on the unit's operating status, thus obtaining the unit's environmental operating coefficient. Furthermore, the standard deviation of the environmental data reflects its dispersion; the greater the dispersion, the more significant the changes in the corresponding environmental factors in the working environment of the heat pump air conditioning unit.

[0055] Then, by combining all environmental operating coefficients of all heat pump air conditioning units, the heat pump air conditioning units are clustered to obtain several clusters.

[0056] As an optional embodiment, the method of clustering heat pump air conditioning units by combining all environmental operating coefficients of all heat pump air conditioning units to obtain several clusters includes: for any heat pump air conditioning unit, forming an array of environmental operating coefficients of the heat pump air conditioning unit under all environmental data, as the environmental array of the heat pump air conditioning unit, obtaining the Euclidean distance between the environmental arrays of any heat pump air conditioning unit as the distance metric of the K-means algorithm, and using the K-means algorithm to cluster all heat pump air conditioning units to obtain several clusters.

[0057] It should be noted that the K-means algorithm is an existing clustering algorithm, so it will not be described in detail in this embodiment of the invention. In this embodiment of the invention, the heat pump air conditioning units are clustered to obtain several clusters. The heat pump air conditioning units in each cluster have similar working environments, so the aging caused by environmental influences will be more similar.

[0058] Thus, a cluster consisting of several heat pump air conditioning units is obtained through the above method.

[0059] Step S003: Divide the operating cycle of the heat pump air conditioning unit, and analyze the aging of the heat pump air conditioning unit by combining the operating time of heat pump air conditioning units with different power in any operating cycle, so as to obtain the aging index of the heat pump air conditioning unit.

[0060] It should be noted that heat pump air conditioning units within the same cluster often exhibit high stability during operation, with relatively small differences in environmental change trends in the short term. Therefore, by extending the monitoring and comparison time interval and using the operating time of a single quarter as the operating cycle, the performance parameter changes of the equipment during operation can be analyzed based on the operating time and adjustment frequency of each heat pump air conditioning unit within the operating cycle.

[0061] Specifically, in step S301, the difference in power variation of different heat pump air conditioning units within any operating cycle is calculated based on the operating time, and the difference in influence coefficient of the heat pump air conditioning units is calculated.

[0062] As a preferred embodiment, the method for obtaining the differential influence coefficient of the unit is as follows:

[0063] First, a quarter is taken as an operating cycle, and any heat pump air conditioning unit is designated as the target heat pump air conditioning unit. Based on the power difference between the start and end times of the target heat pump air conditioning unit in any operating cycle, and the total operating time of the heat pump air conditioning unit in the operating cycle, the performance coefficient of the heat pump air conditioning unit in the operating cycle is obtained.

[0064] It should be noted that, for the unit's operating status within each working cycle, the unit's operating parameters at a single moment are insufficient to express the unit's overall performance. Therefore, this embodiment of the invention analyzes the performance change process of the air conditioning heat pump unit based on the changes in operating data before and after any operating cycle.

[0065] As an optional embodiment, the specific method for calculating the coefficient of performance of the heat pump air conditioning unit in any operating cycle is as follows:

[0066] In the formula, This indicates the coefficient of performance (COP) of the heat pump air conditioning unit during its operating cycle. This represents the operating data value of the heat pump air conditioning unit at the start of its operating cycle; This represents the operating data value of the heat pump air conditioning unit at the final moment of its operating cycle. This indicates the total operating time of the heat pump air conditioning unit within its operating cycle; This represents the linear normalization function.

[0067] It should be noted that, This represents the ratio of the difference between the starting and ending monitoring data values ​​within any operating cycle to the total operating time. It is used to describe the operational degradation of the heat pump air conditioning unit within that operating cycle. The larger the value, the more severe the aging during operation.

[0068] Then, the heat pump air conditioning unit with the highest average power exceeding the rated power during the operating cycle is regarded as a high-power unit. Based on the high-power operation of the high-power unit, the high-power operation ratio coefficient is calculated. In addition, the difference influence coefficient of the target heat pump air conditioning unit is calculated by combining the difference in performance coefficient between the target heat pump air conditioning unit and the high-power unit.

[0069] It should be noted that due to differences in different working environments and actual operations, the performance required by heat pump air conditioning units varies greatly. For example, some heat pump air conditioning units require the equipment to provide a higher heating (or lower cooling) environment to meet the actual regional comfort requirements. In this case, the heat pump air conditioning unit needs to maintain a high power continuously to meet the working requirements. In long-term high-power operating environments, the aging efficiency of the equipment increases, which in turn leads to greater performance differences in the equipment within a single cycle.

[0070] As an optional embodiment, the specific calculation method for the difference influence coefficient is as follows:

[0071] In the formula, This represents the differential influence coefficient of the heat pump air conditioning unit; This represents the performance coefficient of a high-power unit during its operating cycle; This indicates the coefficient of performance (COP) of the heat pump air conditioning unit during its operating cycle. This indicates the proportional coefficient for high-power operation.

[0072] It should be noted that, This is the ratio of the difference in the coefficient of performance between heat pump air conditioning units and high-power units to the high-power operation ratio coefficient, used to represent the impact of high power on the operating performance of heat pump air conditioning units.

[0073] As an optional embodiment, the specific calculation method for the high-power operation ratio coefficient is as follows:

[0074] ;in, This represents the proportional gain for high-power operation. This refers to the total operating time of the high-power unit during high-power operation; This represents the maximum power of the high-power unit. This indicates the rated power of the heat pump air conditioning unit; This indicates the total operating time of a high-power unit within its operating cycle.

[0075] It should be noted that, It is the ratio between the product of the maximum power of the high-power unit and its total operating time at high power, and the product of the rated power and the total operating time of the high-power unit within the operating cycle. It is used to reflect the proportion of the high-power unit operating at high power throughout the entire operating cycle.

[0076] Step S302: Based on the adjustment of the working settings of different heat pump air conditioning units in any operating cycle, and combined with the differences between performance coefficients, adjust the difference influence coefficient to obtain the influence relationship parameters of the heat pump air conditioning units; based on the influence relationship parameters and combined with the performance coefficients and total operating time of the heat pump air conditioning units in the operating cycle, obtain the aging index of the heat pump air conditioning units.

[0077] First, based on the adjustment of the operating settings of different heat pump air conditioning units within any operating cycle, the high-frequency units are obtained and the influence factor is calculated. Based on the influence factor, the performance coefficient difference between the heat pump air conditioning units and the high-frequency units, and the difference influence coefficient of the heat pump air conditioning units, the influence relationship parameters of the heat pump air conditioning units within the operating cycle are obtained. The influence factor is negatively correlated with the influence relationship parameters, and the performance coefficient difference and the difference influence coefficient are both positively correlated with the influence relationship parameters.

[0078] It should be noted that heat pump air conditioning units operate long-term and frequently, especially during summer and winter. To ensure the comfort of indoor or work area temperature and control parameters, the air conditioning needs to be adjusted multiple times to improve the temperature and other comfort aspects of the target area. This results in a high frequency of use for the heat pump air conditioning unit, with each use lasting for a relatively short period. Therefore, based on the above steps, parameters are needed to obtain the impact factors of high-power operation on unit performance, including the timing of unit adjustments within a single cycle and the duration of each start-up and shutdown adjustment, on the differences in unit performance.

[0079] As an optional embodiment, the specific calculation method for the influence relationship parameters of the heat pump air conditioning unit within any operating cycle is as follows:

[0080] In the formula, Parameters indicating the influence relationship of the heat pump air conditioning unit during the operating cycle; This represents the performance coefficient of a high-frequency generator unit during its operating cycle; This indicates the coefficient of performance (COP) of the heat pump air conditioning unit during its operating cycle. Indicates the impact factor; This represents the difference in influence coefficient of the heat pump air conditioning unit.

[0081] It should be noted that, This represents the ratio of the difference in performance between the unit under normal operating conditions and under high-frequency regulation conditions to the proportional coefficient under high-frequency regulation conditions, and represents the influence coefficient of high-frequency regulation conditions on the unit's performance. The factor is the influence coefficient of the high-frequency adjustment state on the unit performance under high power influence. When the unit performs high-frequency start-up and shutdown operations, the unit system needs to supply energy at full load to meet the demand in order to respond to the operation more promptly. Therefore, the unit will generate high power operation when the start-up and shutdown operations are frequent.

[0082] As a preferred embodiment, the specific method for obtaining high-frequency units and calculating influence factors based on the adjustment of operating settings of different heat pump air conditioning units within any operating cycle includes: obtaining the frequency of adjustments to the operating settings of any heat pump air conditioning unit, denoted as the adjustment frequency of the heat pump air conditioning unit; identifying the heat pump air conditioning unit whose adjustment frequency is greater than the average adjustment frequency of all heat pump air conditioning units and whose adjustment frequency value is the largest as the high-frequency unit; using the heat pump air conditioning unit operating at rated power as the reference unit; and calculating the influence factor based on the adjustment frequency and operating time of the high-frequency unit relative to the reference unit.

[0083] As an optional embodiment, the specific calculation method for the influence factor is as follows:

[0084] ;in, Indicates the impact factor; Indicates the adjustment frequency of high-frequency generating units; This indicates the total operating time of the high-frequency generating unit; This indicates the average operating time of the reference unit; This indicates the average total operating time of the reference unit; Represents the absolute value function; This represents an exponential function with the natural constant as its base.

[0085] It should be noted that, , These are the ratios of the unit's adjustment frequency and the single start-stop runtime under standard conditions, respectively. Since the unit's runtime per start-stop is shorter when the adjustment frequency is higher, the ratio of the single start-stop runtime is inversely normalized to ensure that the data are positively correlated.

[0086] Then, by combining the performance coefficient and influence parameters of the heat pump air conditioning unit in any operating cycle, the performance degradation coefficient of the heat pump air conditioning unit in the operating cycle is obtained.

[0087] As an optional embodiment, the specific calculation method for the performance degradation coefficient of the heat pump air conditioning unit within any operating cycle is as follows:

[0088] ;in, This indicates the performance degradation coefficient of the heat pump air conditioning unit during the operating cycle; This indicates the coefficient of performance of the heat pump air conditioning unit during the stated operating cycle; Parameters indicating the influence relationship of heat pump air conditioning units.

[0089] It should be noted that the performance degradation coefficient caused by unit aging during actual use is obtained by combining the impact coefficient under standard usage scenarios with abnormal usage scenarios.

[0090] Finally, the operating time of the heat pump air conditioning unit is used as a weight, and combined with the performance degradation coefficient of the heat pump air conditioning unit, the aging coefficient of the heat pump air conditioning unit is obtained.

[0091] It should be noted that, since the heat pump air conditioning unit is in a continuous operating state, the aging performance degradation is a cumulative process. Therefore, in this embodiment of the invention, the aging index of the heat pump air conditioning unit is obtained by accumulating the performance degradation coefficient of the heat pump air conditioning unit and then weighted and averaged in combination with the operating time of the heat pump air conditioning unit.

[0092] As an optional embodiment, the specific method for calculating the aging index of the heat pump air conditioning unit is as follows:

[0093] ;in, This indicates the aging index of the heat pump air conditioning unit; Indicates the number of running cycles. This indicates that the heat pump air conditioning unit is in the first The total runtime of each running cycle; This indicates that the heat pump air conditioning unit is in the first Performance degradation coefficient over a single operating cycle.

[0094] Thus, the aging index of the heat pump air conditioning unit is obtained through the above method.

[0095] Step S004: Use simulation software to simulate the operation of the heat pump air conditioning unit, and adjust the operation response time during the simulation process based on the aging index of the heat pump air conditioning unit in the cluster.

[0096] Specifically, firstly, the aging index of all heat pump air conditioning units in the cluster where the target heat pump air conditioning unit is located is obtained, and a normal distribution is fitted. The aging index corresponding to the peak point in the normal distribution fitting result is taken as the actual aging index of the target heat pump air conditioning unit.

[0097] Then, the operating response time constant is preset, and the preset operating response time constant is corrected by using the actual aging index of the target heat pump air conditioning unit. The corrected operating response time constant is then input into the operating simulation model of the heat pump air conditioning unit to improve the simulation realism of the heat pump air conditioning unit during the operating simulation process.

[0098] As an optional embodiment, the specific calculation method for the corrected runtime response constant is as follows: ,in This represents the corrected runtime response time constant; This represents the preset runtime response time constant; This indicates the actual aging index of the target heat pump air conditioning unit.

[0099] It should be noted that in the embodiments of the present invention, the existing heat pump air conditioning unit operation simulation model is combined with the overall deviation of equipment operation caused by the aging of equipment components during the actual operation of the air conditioning unit to correct the operation simulation parameters, thereby improving the realism of equipment operation under equipment aging in the operation simulation and realizing the full life cycle operation simulation of the heat pump air conditioning unit.

[0100] By following the steps above, the operation simulation of the heat pump air conditioning unit is completed.

[0101] Please see Figure 2The diagram illustrates a structural block diagram of an operation simulation system for heat pump air conditioning units according to an embodiment of the present invention. The system includes a memory 201, a processor 202, and a computer program 2011 stored in the memory 201 and executable on the processor 202. When the processor 202 executes the computer program 2011, it implements steps S001 to S004 of an operation simulation method for heat pump air conditioning units.

[0102] The memory can be volatile or non-volatile, or may include both. The non-volatile memory can be read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), or flash memory. The volatile memory can be random access memory (RAM), which serves as an external cache. Many forms of RAM are available by way of example, but not limitation. Examples include Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced Synchronous DRAM (ESDRAM), Sync Link DRAM (SLDRAM), and Direct Rambus RAM (DRRAM).

[0103] The aforementioned processor can be a Central Processing Unit (CPU), or other general-purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field-Programmable Gate Arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. General-purpose processors can be microprocessors or any conventional processor. It is worth noting that the processor can be a processor supporting Advanced Reduced Instruction Set Machines (ARM) architecture.

[0104] It should be noted that the embodiments used in this example The model is only used to represent negative correlations and the results of the constraint model output are in Within this range, in specific implementations, other models with the same purpose can be substituted; this embodiment is merely an example. The description will be based on a model, without making specific limitations on it. This refers to the input of the model.

[0105] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A simulation method for the operation of a heat pump air conditioning unit, characterized in that, The method includes the following steps: Several environmental and operational data of several heat pump air conditioning units are acquired respectively, including operating time and power; By utilizing the numerical distribution of each environmental data point, the environmental operating coefficient of the heat pump air conditioning unit is calculated. The heat pump air conditioning units are then clustered based on the environmental operating coefficients of all heat pump air conditioning units, resulting in several clusters. The operating cycle of the heat pump air conditioning unit is divided, and the aging of the heat pump air conditioning unit is analyzed by combining the operating time of heat pump air conditioning units with different power in any operating cycle, so as to obtain the aging index of the heat pump air conditioning unit. The operation of the heat pump air conditioning unit was simulated using simulation software, and the operation response time during the simulation process was adjusted by combining the aging index of the heat pump air conditioning unit in the cluster. The method of dividing the operating cycle of the heat pump air conditioning unit, combining the operating time of heat pump air conditioning units with different power within any operating cycle, and analyzing the aging of the heat pump air conditioning unit to obtain the aging index of the heat pump air conditioning unit includes the following specific methods: Based on the power variation differences of different heat pump air conditioning units within any operating cycle, and combined with the operating time, the difference influence coefficient of heat pump air conditioning units is calculated. Based on the adjustment of the operating settings of different heat pump air conditioning units within any operating cycle, and combined with the differences between performance coefficients, the difference influence coefficient is adjusted to obtain the influence relationship parameters of the heat pump air conditioning units; based on the influence relationship parameters and combined with the performance coefficients and total operating time of the heat pump air conditioning units within the operating cycle, the aging index of the heat pump air conditioning units is obtained. The method for calculating the difference influence coefficient of heat pump air conditioning units based on the power variation differences of different heat pump air conditioning units within any operating cycle, combined with the operating time, includes the following specific methods: One quarter is taken as an operating cycle. Any heat pump air conditioning unit is designated as the target heat pump air conditioning unit. Based on the power difference between the start and end times of the target heat pump air conditioning unit in any operating cycle, and the total operating time of the heat pump air conditioning unit in the operating cycle, the performance coefficient of the heat pump air conditioning unit in the operating cycle is obtained. The heat pump air conditioning unit with the highest average power exceeding the rated power during the operating cycle is designated as a high-power unit. Based on the high-power operation of the high-power unit, the high-power operation ratio coefficient is calculated. In addition, the difference influence coefficient of the target heat pump air conditioning unit is calculated by combining the difference in performance coefficient between the target heat pump air conditioning unit and the high-power unit.

2. The operation simulation method for heat pump air conditioning units according to claim 1, characterized in that, The specific method for calculating the environmental operating coefficient of the heat pump air conditioning unit by utilizing the numerical distribution of each environmental data point includes: For any environmental data, the values ​​of all data points in the environmental data are statistically analyzed and a histogram is formed. The data point with the highest frequency in the histogram is taken as the principal environmental value. The range and standard deviation of the environmental data are obtained. Based on the principal environmental value, range, and standard deviation, the environmental operating coefficient of the heat pump air conditioning unit under the environmental data is obtained. The principal environmental value, range, and standard deviation are all positively correlated with the environmental operating coefficient.

3. The operation simulation method for heat pump air conditioning units according to claim 1, characterized in that, The method of clustering heat pump air conditioning units by combining all environmental operating coefficients of all heat pump air conditioning units to obtain several clusters includes the following: For any heat pump air conditioning unit, the environmental operating coefficients of the heat pump air conditioning unit under all environmental data are formed into an array, which is used as the environmental array of the heat pump air conditioning unit. The Euclidean distance between the environmental arrays of any heat pump air conditioning unit is obtained as the distance metric of the K-means algorithm. The K-means algorithm is then used to cluster all heat pump air conditioning units to obtain several clusters.

4. The operation simulation method for heat pump air conditioning units according to claim 1, characterized in that, The specific method for determining the aging index of the heat pump air conditioning unit is as follows: Based on the adjustment of the operating settings of different heat pump air conditioning units within any operating cycle, the high-frequency units are obtained and the influence factor is calculated. Based on the influence factor, the performance coefficient difference between the heat pump air conditioning units and the high-frequency units, and the difference influence coefficient of the heat pump air conditioning units, the influence relationship parameters of the heat pump air conditioning units are obtained. The influence factor and the influence relationship parameters are negatively correlated, and the performance coefficient difference and the difference influence coefficient are positively correlated with the influence relationship parameters. By combining the performance coefficient and influence parameters of the heat pump air conditioning unit in any operating cycle, the performance degradation coefficient of the heat pump air conditioning unit in the operating cycle is obtained. The aging coefficient of the heat pump air conditioning unit is obtained by using the operating time of the heat pump air conditioning unit as a weight and combining it with the performance degradation coefficient of the heat pump air conditioning unit.

5. The operation simulation method for heat pump air conditioning units according to claim 4, characterized in that, The specific method for obtaining high-frequency units and calculating influencing factors based on the adjustment of operating settings of different heat pump air conditioning units within any operating cycle includes: The frequency at which the operating settings of any heat pump air conditioning unit are adjusted is recorded as the adjustment frequency of the heat pump air conditioning unit. The heat pump air conditioning unit with the adjustment frequency greater than the average adjustment frequency of all heat pump air conditioning units and the largest value of the adjustment frequency is regarded as the high-frequency unit. The heat pump air conditioning unit operating at rated power is regarded as the reference unit. The influence factor is calculated based on the adjustment frequency and running time of the high-frequency unit relative to the reference unit.

6. The operation simulation method for heat pump air conditioning units according to claim 4, characterized in that, The method for obtaining the aging coefficient of a heat pump air conditioning unit by using its operating time as a weight and combining it with the performance degradation coefficient of the heat pump air conditioning unit includes the following specific methods: The specific calculation method for the aging index of the heat pump air conditioning unit is as follows: ;in, This indicates the aging index of the heat pump air conditioning unit; Indicates the number of running cycles. This indicates that the heat pump air conditioning unit is in the first The total runtime of each running cycle; This indicates that the heat pump air conditioning unit is in the first Performance degradation coefficient over a single operating cycle.

7. The operation simulation method for heat pump air conditioning units according to claim 1, characterized in that, The method of using simulation software to simulate the operation of heat pump air conditioning units and adjusting the operating response time during the simulation process based on the aging index of heat pump air conditioning units in clusters includes the following specific methods: The aging index of all heat pump air conditioning units in the cluster where the target heat pump air conditioning unit is located is obtained and a normal distribution is fitted. The aging index corresponding to the peak point in the normal distribution fitting result is taken as the actual aging index of the target heat pump air conditioning unit. The operating response time constant is preset, and the preset operating response time constant is corrected by using the actual aging index of the target heat pump air conditioning unit. The corrected operating response time constant is then input into the operating simulation model of the heat pump air conditioning unit to improve the simulation realism of the heat pump air conditioning unit during the operating simulation process.

8. An operation simulation system for heat pump air conditioning units, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the operation simulation method for heat pump air conditioning units as described in any one of claims 1 to 7.

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