Running simulation method and system for heat pump air conditioning unit

Abstract

The invention relates to the technical field of equipment operation simulation, in particular to an operation simulation method and system for heat pump air-conditioning units, and the method comprises the steps: obtaining a plurality of environment data and operation data of a plurality of heat pump air-conditioning units, and calculating the environment working coefficient of the heat pump air-conditioning units according to the numerical value distribution condition of each environment data; clustering the heat pump air conditioning units by combining all the environment working coefficients of all the heat pump air conditioning units; dividing an operation cycle, and analyzing the aging condition of the heat pump air conditioning unit by combining the operation duration of the heat pump air conditioning unit with different powers in any operation cycle, so as to obtain the aging index of the heat pump air conditioning unit; and performing operation simulation on the heat pump air conditioning unit by using analogue simulation software, and adjusting the operation response time in the simulation process in combination with the aging index of the heat pump air conditioning unit in the cluster. The method can better adapt to the influence of equipment aging on the control system, so that the operation simulation effect of the heat pump air conditioning unit is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of device operation simulation, in particular to an operation simulation method and system for a heat pump air conditioning unit. BACKGROUND

[0002] As a key device for modern building energy saving, the operation efficiency and control accuracy of the heat pump air conditioning unit directly affect the building energy consumption and indoor environmental comfort. Before actual installation and operation, the operation state of the heat pump air conditioning unit needs to be tested through simulation means, so as to simulate the dynamic response of the heat pump air conditioning unit under transient conditions such as start-up, shutdown, load mutation, defrosting process, etc., such as temperature change efficiency, pressure change stability and comfort of the target (control) area after adjustment, etc., to provide basis for optimizing control strategy and reducing impact.

[0003] However, in the actual operation process, due to the long-time operation of the heat pump air conditioning unit and the influence of environmental factors, the equipment is aged to different degrees. The use of fixed time constant T (system response speed) to realize the prediction and evaluation of the operation state of the equipment cannot consider the control mismatch phenomenon caused by the increase of the time constant due to the aging phenomenon of the equipment components during the operation of the equipment, thereby causing the problem defect that the heat pump air conditioning unit operation simulation model cannot achieve the expected effect when adjusting the temperature of the target area.

[0004] The operation simulation model of the heat pump air conditioning unit is often used to simulate and analyze the operation state of new equipment, and ignores the influence of equipment aging on equipment operation after long-term operation of the equipment. For example, the actual operation process is slow due to equipment aging, and there is a time difference between the operation simulation adjustment reaction, that is, the fixed time constant cannot predict the control mismatch caused by aging, thereby causing the heat pump air conditioning unit to fail to achieve the predetermined comfort or the target site temperature change efficiency is low when adjusting the temperature of the target site. SUMMARY

[0005] The present application provides an operation simulation method and system for a heat pump air conditioning unit to solve the existing problems.

[0006] The operation simulation method and system for a heat pump air conditioning unit of the present application adopt the following technical solutions: An embodiment of the present application provides an operation simulation method for a heat pump air conditioning unit, which comprises the following steps: Obtain a plurality of environment data and operation data of a plurality of heat pump air conditioning units, respectively, wherein the operation data includes operation time and power; The environment working coefficient of the heat pump air conditioning unit is calculated by using the numerical distribution of each environment data, and all the heat pump air conditioning units are clustered by combining all the environment working coefficients of all the heat pump air conditioning units, so as to obtain a plurality of clustering clusters. The running cycle of the heat pump air conditioning unit is divided, and the aging condition of the heat pump air conditioning unit is analyzed by combining the running time length of the heat pump air conditioning unit with different powers in any running cycle, so as to obtain the aging index of the heat pump air conditioning unit. The running simulation software is used to simulate the running of the heat pump air conditioning unit, and the running response time in the simulation process is adjusted by combining the aging index of the heat pump air conditioning unit in the clustering cluster.

[0007] Further, the method for calculating the environment working coefficient of the heat pump air conditioning unit by using the numerical distribution of each environment data comprises the following specific method: For any environment data, the numerical values of all data points in the environment data are counted and a histogram is formed, the data point corresponding to the maximum frequency in the histogram is taken as the main environment value, the range and the standard deviation of the environment data are obtained, and the environment working coefficient of the heat pump air conditioning unit under the environment data is obtained according to the main environment value, the range and the standard deviation, wherein the main environment value, the range and the standard deviation are positively correlated with the environment working coefficient.

[0008] Further, the method for clustering the heat pump air conditioning units by combining all the environment working coefficients of all the heat pump air conditioning units to obtain a plurality of clustering clusters comprises the following specific method: For any heat pump air conditioning unit, the environment working coefficients of the heat pump air conditioning unit under all the environment data are formed into an array as the environment array of the heat pump air conditioning unit, the Euclidean distance between the environment arrays of any heat pump air conditioning units is taken as the distance measurement method of the K-means algorithm, and the K-means algorithm is used to cluster all the heat pump air conditioning units to obtain a plurality of clustering clusters.

[0009] Further, the method for obtaining the aging index of the heat pump air conditioning unit by dividing the running cycle of the heat pump air conditioning unit, combining the running time length of the heat pump air conditioning unit with different powers in any running cycle, and analyzing the aging condition of the heat pump air conditioning unit comprises the following specific method: According to the power change difference of different heat pump air conditioning units in any running cycle and the running time length, the difference influence coefficient of the heat pump air conditioning unit is calculated. According to the working setting adjustment condition of different heat pump air conditioning units in any running cycle and the difference between the performance coefficients, the difference influence coefficient is adjusted to obtain the influence relationship parameter of the heat pump air conditioning unit, and the aging index of the heat pump air conditioning unit is obtained according to the influence relationship parameter and the performance coefficient and the total running time length of the heat pump air conditioning unit in the running cycle.

[0010] Further, the difference influence coefficient of the heat pump air conditioning unit is calculated according to the power change difference of different heat pump air conditioning units in any operation cycle and in combination with the operation time, and the specific method comprises: 1 quarter is taken as an operation cycle, and any heat pump air conditioning unit is recorded as a target heat pump air conditioning unit, the performance coefficient of the heat pump air conditioning unit in the operation cycle is obtained according to the power difference of the target heat pump air conditioning unit at the starting time and the final time in the operation cycle and the total operation time of the heat pump air conditioning unit in the operation cycle. The heat pump air conditioning unit with the maximum average power exceeding the rated power in the operation cycle is taken as a high-power unit, the high-power operation proportion coefficient is calculated according to the high-power operation condition of the high-power unit, and the difference influence coefficient of the target heat pump air conditioning unit is calculated in combination with the difference between the target heat pump air conditioning unit and the high-power unit in the performance coefficient.

[0011] Further, the specific method of the aging index of the heat pump air conditioning unit comprises: The high-frequency unit is obtained and the influence factor is calculated according to the working setting adjustment condition of different heat pump air conditioning units in any operation cycle, the influence relationship parameter of the heat pump air conditioning unit is obtained according to the influence factor, the performance coefficient difference between the heat pump air conditioning unit and the high-frequency unit, and the difference influence coefficient of the heat pump air conditioning unit, the influence factor is negatively correlated with the influence relationship parameter, and the performance coefficient difference and the difference influence coefficient are positively correlated with the influence relationship parameter. The performance attenuation coefficient of the heat pump air conditioning unit in the operation cycle is obtained in combination with the performance coefficient and the influence relationship parameter of the heat pump air conditioning unit in any operation cycle. The aging coefficient of the heat pump air conditioning unit is obtained in combination with the operation time of the heat pump air conditioning unit as a weight and the performance attenuation coefficient of the heat pump air conditioning unit.

[0012] Further, the specific method of obtaining the high-frequency unit and calculating the influence factor according to the working setting adjustment condition of different heat pump air conditioning units in any operation cycle comprises: The frequency of adjusting the working setting of any heat pump air conditioning unit is obtained, which is recorded as the adjustment frequency of the heat pump air conditioning unit, the heat pump air conditioning unit with the largest adjustment frequency value greater than the average adjustment frequency of all heat pump air conditioning units is taken as the high-frequency unit, the heat pump air conditioning unit running at the rated power is taken as the reference unit, and the influence factor is calculated according to the adjustment frequency and the operation time of the high-frequency unit relative to the reference unit.

[0013] Further, the running time length of the heat pump air conditioning unit is taken as the weight, and the performance attenuation coefficient of the heat pump air conditioning unit is combined to obtain the aging coefficient of the heat pump air conditioning unit, including the specific method of: The specific calculation method of the aging index of the heat pump air conditioning unit is: ; wherein, represents the aging index of the heat pump air conditioning unit; represents the number of running cycles, represents the total running time length of the heat pump air conditioning unit in the th running cycle; represents the performance attenuation coefficient of the heat pump air conditioning unit in the th running cycle.

[0014] Further, the heat pump air conditioning unit is simulated by using simulation software, and the running response time in the simulation process is adjusted in combination with the aging index of the heat pump air conditioning unit in the cluster, including the specific method of: 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 normal distribution fitting is performed, and 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; A running response time constant is preset, and the actual aging index of the target heat pump air conditioning unit is used to correct the preset running response time constant, and the corrected running response time constant is input into the running simulation model of the heat pump air conditioning unit, so as to improve the simulation authenticity of the heat pump air conditioning unit in the running simulation process.

[0015] A running simulation system for a heat pump air conditioning unit, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of any one of the running simulation methods for the heat pump air conditioning unit.

[0016] The beneficial effects of the technical solutions of the present application are: 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 reaction failures caused by equipment aging; by clustering the operation data of different equipment, the equipment aging under different environments and operation conditions can be adapted, personalized simulation models are provided, and the adaptability and flexibility of the system are enhanced; by accurately predicting the control mismatch phenomenon that may occur during the aging process of the equipment, corresponding adjustments can be made during the system design and control strategy development stage, and energy waste or indoor environment discomfort caused by control mismatch can be avoided; accurate simulation can not only improve the stability and efficiency of equipment operation, but also help to reduce the negative impact of equipment aging on energy efficiency, achieve energy saving optimization, effectively combine the aging characteristics of the heat pump air conditioning unit, improve the traditional simulation method, and better adapt to the influence of equipment aging on the control system, thereby improving the overall operation efficiency and comfort control precision of the system. BRIEF DESCRIPTION OF DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings needed to be used in the embodiments or the prior art description will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0018] Figure 1 A step flow chart of a running simulation method for a heat pump air conditioning unit according to the present application; Figure 2 A structure block diagram of a running simulation system for a heat pump air conditioning unit according to the present application. DETAILED DESCRIPTION

[0019] In order to further illustrate the technical means and effects adopted by the present application to achieve the predetermined invention purpose, the specific implementation, structure, features and effects of a running simulation method and system for a heat pump air conditioning unit according to the present application are described in detail as follows by combining with the drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. In addition, the specific features, structures or characteristics in one or more embodiments can be combined in any suitable form.

[0020] 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 the present application belongs.

[0021] The specific scheme of a running simulation method and system for a heat pump air conditioning unit provided by the present application is specifically described below in combination with the drawings.

[0022] Referring to Figure 1 which shows a step flow chart of a running simulation method for a heat pump air conditioning unit provided by an embodiment of the present application, the method comprises the following steps: Step S001: Obtain several environment data and running data of several heat pump air conditioning units respectively.

[0023] It should be noted that in the actual application scenario of the heat pump air conditioning unit, due to the difference in environment, the corrosion and interference received by the equipment in different regions are different, thereby causing the equipment as a whole to have running abnormalities compared with the ideal environment. Therefore, in order to avoid the use of the same detection data in different environments leading to regional deviation of the running simulation, thereby causing the running simulation result to be not universal, it is necessary to collect environment-related data such as air temperature and humidity, water quality, etc. In addition to environmental interference, the running simulation mainly relies on the equipment basic parameters as the theoretical basis for running, thereby realizing the effective construction of the running simulation of the heat pump air conditioning unit. Therefore, it is necessary to monitor the actual running data of each parameter of the equipment in the actual running process, and record the data according to the sequence of monitoring time to obtain the corresponding time series data.

[0024] Specifically, in order to realize the running simulation method for the heat pump air conditioning unit proposed in this embodiment, it is necessary to first collect the environment data and running data of the heat pump air conditioning unit, and the specific process is as follows: Firstly, the temperature and humidity of the environment in which the heat pump air conditioning unit runs are obtained by a temperature and humidity sensor, thereby obtaining temperature data and humidity data, which are collectively referred to as environment data.

[0025] Then, the running data of the heat pump air conditioning unit is obtained.

[0026] At this point, the environment data and running data are obtained by the above method.

[0027] Step S002: Calculate the environment working coefficient of the heat pump air conditioning unit by using the numerical distribution of each environment data, and cluster the heat pump air conditioning units in combination with all the environment working coefficients of all the heat pump air conditioning units to obtain several clustering clusters.

[0028] It should be noted that in the actual running process of the heat pump air conditioning unit, the equipment will be disturbed by environmental factors, thereby causing the equipment to have corrosion phenomenon. The heat pump air conditioning unit parts produced by the enterprise are supplied by a unified enterprise, and are assembled by industrialized production. The degree of environmental corrosion of the unit has similarity. Therefore, when the monitored unit is monitored and data is obtained, the equipment running abnormalities caused by the corrosion interference of the equipment have similarity. Therefore, the difference in the environment detection data of the monitored equipment can be used to effectively classify the units.

[0029] Specifically, first, the environment working coefficient of the heat pump air conditioning unit is calculated by using the numerical distribution of each environment data.

[0030] As a preferred embodiment, the method for obtaining the environment working coefficient of the heat pump air conditioning unit is as follows: for any environment data, the numerical values of all data points in the environment data are counted and a histogram is formed, the data point corresponding to the maximum frequency in the histogram is taken as the main environment value, the range and the standard deviation of the environment data are obtained, and the environment working coefficient of the heat pump air conditioning unit under the environment data is obtained according to the main environment value, the range and the standard deviation, wherein the main environment value, the range and the standard deviation are positively correlated with the environment working coefficient.

[0031] As an optional embodiment, for any environment data, the specific calculation method of the environment working coefficient of the heat pump air conditioning unit under the environment data is as follows: , wherein, represents the environment working coefficient of the heat pump air conditioning unit under the environment data; represents the main environment value of the environment data; represents the range of the environment data; represents the standard deviation of the environment data; represents a linear normalization function.

[0032] It should be noted that, since the environment temperature and humidity of the heat pump air conditioning unit are always in a dynamic state during operation, using the mean value or a value at a certain moment may lead to incomplete coverage of the characteristics and thus reduce the accuracy of the environment division, therefore, in the embodiment of the present application, the actual monitoring data values in the continuous monitoring process are processed based on the normal distribution to obtain the density of each actual monitoring value in the historical detection, and meanwhile, the sharp change of the environment temperature is also an important parameter affecting the influence of the environment on the operation state of the unit, so as to obtain the environment working coefficient of the unit. In addition, the standard deviation of the environment data reflects the dispersion degree, and the greater the dispersion degree, the more obvious the change of the corresponding environment factor in the working environment of the heat pump air conditioning unit.

[0033] Then, all the environment working coefficients of all the heat pump air conditioning units are combined to cluster the heat pump air conditioning units, and a plurality of clustering clusters are obtained.

[0034] As an optional embodiment, the all-environment working coefficients of all heat pump air conditioning units are combined to cluster the heat pump air conditioning units to obtain a plurality of clustering clusters, and the specific method comprises: for any heat pump air conditioning unit, an array of the environment working coefficients of the heat pump air conditioning unit under all environment data is formed as an environment array of the heat pump air conditioning unit, the Euclidean distance between the environment arrays of any heat pump air conditioning units is obtained as a distance measurement method of the K-means algorithm, and the K-means algorithm is used to cluster all heat pump air conditioning units to obtain a plurality of clustering clusters.

[0035] It should be noted that the K-means algorithm is an existing clustering algorithm, and therefore is not specifically described in the embodiment of the present application. In the embodiment of the present application, the heat pump air conditioning units are clustered to obtain a plurality of clustering clusters, wherein the working environments of the heat pump air conditioning units in each clustering cluster are similar, and the aging conditions caused by the environment are more similar.

[0036] At this point, the clustering clusters formed by a plurality of heat pump air conditioning units are obtained by the above method.

[0037] Step S003: dividing the operation period of the heat pump air conditioning unit, combining the operation time length of the heat pump air conditioning unit with different power in any operation period, and analyzing the aging condition of the heat pump air conditioning unit to obtain the aging index of the heat pump air conditioning unit.

[0038] It should be noted that the heat pump air conditioning units in the same clustering cluster often have high stability during operation, and the difference in environmental change trend is small in the short term. Therefore, by extending the time interval of the monitoring and comparison moment, the operation time of a single quarter is taken as the operation period, and the performance parameter changes of the equipment during operation are analyzed based on the operation time and the adjustment frequency of each heat pump air conditioning unit in the operation period.

[0039] Specifically, in step S301, the difference influence coefficient of the heat pump air conditioning unit is calculated according to the power change difference of different heat pump air conditioning units in any operation period and in combination with the operation time length.

[0040] As a preferred embodiment, the method for obtaining the difference influence coefficient of the unit is: First, one quarter is taken as an operation period, any heat pump air conditioning unit is recorded as a target heat pump air conditioning unit, the performance coefficient of the heat pump air conditioning unit in the operation period is obtained according to the power difference of the target heat pump air conditioning unit at the initial moment and the final moment in any operation period and the total operation time length of the heat pump air conditioning unit in the operation period.

[0041] It should be noted that for the working state of the unit in each working period, the unit operating parameter at a single moment is difficult to express the overall performance of the unit, and therefore the embodiment of the present application analyzes the performance change process based on the change of the operating data of the air conditioning heat pump unit before and after any operating period.

[0042] As an optional embodiment, the specific calculation method of the coefficient of performance of the heat pump air conditioning unit in any operating period is: ; in the formula, indicates the coefficient of performance of the heat pump air conditioning unit in the operating period; indicates the operating data value of the heat pump air conditioning unit at the starting moment in the operating period; indicates the operating data value of the heat pump air conditioning unit at the final moment in the operating period, indicates the total operating time length of the heat pump air conditioning unit in the operating period; indicates a linear normalization function.

[0043] It should be noted that, indicates the ratio of the difference between the monitoring data values at the start and end of any operating period to the total operating time, which is used to describe the running attenuation of the heat pump air conditioning unit in the operating period. The larger the value, the more serious the aging condition in the running process.

[0044] Then, the heat pump air conditioning unit with the maximum average power exceeding the rated power in the operating period is taken as a high-power unit, and a high-power operation proportion coefficient is calculated according to the high-power operation condition of the high-power unit; and a difference influence coefficient of the target heat pump air conditioning unit is calculated in combination with the difference in the coefficient of performance between the target heat pump air conditioning unit and the high-power unit.

[0045] It should be noted that due to the difference in different working environments and actual operations, the performance required by the heat pump air conditioning unit is quite different, for example, the working environment of some heat pump air conditioning units requires the equipment to provide a higher heating (or lower cooling) environment to meet the actual regional comfort demand, and the heat pump air conditioning unit needs to maintain a higher power to meet the working demand. In the long-term high-power working condition environment, the aging efficiency of the equipment is improved, and the equipment has higher performance difference in a single period.

[0046] As an optional embodiment, the specific calculation method of the difference influence coefficient is: ; in the formula, indicates the difference influence coefficient of the heat pump air conditioning unit; indicates the coefficient of performance of the high-power unit in the operating period; indicates the coefficient of performance of the heat pump air conditioning unit in the operating period; represents the high-power operation proportionality coefficient.

[0047] It should be noted that, is the ratio of the difference between the performance coefficients of the heat pump air conditioning unit and the high-power unit and the high-power operation proportionality coefficient, and is used to represent the influence of high power on the working performance of the heat pump air conditioning unit.

[0048] As an optional embodiment, the specific calculation method of the high-power operation proportionality coefficient is: ; wherein, represents the high-power operation proportionality coefficient, is the total operation time of the high-power unit when operating at high power; is the maximum power of the high-power unit, represents the rated power of the heat pump air conditioning unit; represents the total operation time of the high-power unit in the operation cycle.

[0049] It should be noted that, is the product of the maximum power of the high-power unit and the total operation time when operating at high power, and the ratio between the product of the rated power and the total operation time of the high-power unit in the operation cycle, which is used to reflect the proportion of the high-power unit operating at high power in the entire operation cycle.

[0050] Step S302, according to the working setting adjustment of different heat pump air conditioning units in any operation cycle, and combining the difference between the performance coefficients, the difference influence coefficient is adjusted, and the influence relationship parameter of the heat pump air conditioning unit is obtained; according to the influence relationship parameter and combining the performance coefficient and the total operation time of the heat pump air conditioning unit in the operation cycle, the aging index of the heat pump air conditioning unit is obtained.

[0051] First, according to the working setting adjustment of different heat pump air conditioning units in any operation cycle, the high-frequency unit is obtained and the influence factor is calculated, according to the influence factor, the performance coefficient difference between the heat pump air conditioning unit and the high-frequency unit, and the difference influence coefficient of the heat pump air conditioning unit, the influence relationship parameter of the heat pump air conditioning unit in the operation cycle is obtained, the influence factor and the influence relationship parameter are negatively correlated, and the performance coefficient difference and the difference influence coefficient are positively correlated with the influence relationship parameter.

[0052] It should be noted that the operation of the heat pump air conditioning unit is long-term and high-frequency, especially in summer and winter. In order to ensure the comfort of indoor or working area temperature and adjustment parameters, the air conditioner needs to be adjusted multiple times to improve the temperature comfort of the target area, thereby increasing the use frequency of the heat pump air conditioning unit and the single use time. Therefore, based on the above step operation, the high-power operation of the unit performance influence factor is obtained, and the influence of the unit adjustment time and the unit start-stop operation state on the unit performance difference in a single period is obtained.

[0053] As an optional embodiment, the specific calculation method of the influence relationship parameter of the heat pump air conditioning unit in any operation period is: ; wherein, represents the influence relationship parameter of the heat pump air conditioning unit in the operation period; represents the performance coefficient of the high-frequency unit in the operation period; represents the performance coefficient of the heat pump air conditioning unit in the operation period; represents the influence factor; represents the difference influence coefficient of the heat pump air conditioning unit.

[0054] It should be noted that, represents the ratio of the difference value of the performance difference of the unit in the normal mode to the performance difference in the high-frequency adjustment state and the ratio of the performance difference in the high-frequency adjustment state, and represents the influence coefficient of the high-frequency adjustment state on the unit performance. The influence coefficient of the high-frequency adjustment state on the unit performance under the high-power influence, when the unit is operated at high frequency, the unit system needs to be full-load to meet the demand in order to respond to the operation more timely, so the unit will generate high-power operation when the unit is frequently started and stopped.

[0055] As a preferred embodiment, the specific method for obtaining the high-frequency unit and calculating the influence factor according to the working setting adjustment of different heat pump air conditioning units in any operation period includes: obtaining the adjustment frequency of the working setting of any heat pump air conditioning unit, denoted as the adjustment frequency of the heat pump air conditioning unit, when the adjustment frequency is greater than the average adjustment frequency of all heat pump air conditioning units and the value of the adjustment frequency is the largest, the corresponding heat pump air conditioning unit is taken as the high-frequency unit, and the heat pump air conditioning unit running at rated power is taken as the reference unit. According to the adjustment frequency and running time of the high-frequency unit relative to the reference unit, the influence factor is calculated.

[0056] As an optional embodiment, the specific calculation method of the influence factor is: ; wherein, represents the influence factor; represents the adjustment frequency of the high-frequency unit; represents the total running time of the high-frequency unit; represents the average running time of the reference unit; represents the average total running time of the reference unit; represents the absolute value function; represents the exponential function with a natural constant as the base.

[0057] It should be noted that, , The ratio of the adjustment frequency of the high-frequency unit to the standard state, and the ratio of the single start-stop running time, wherein, since the higher the adjustment frequency, the shorter the single start-stop unit running time, in order to ensure positive correlation of the data, the single start-stop running time ratio is inversely proportional to the normalized processing.

[0058] Then, combined with the performance coefficient and the influence relationship parameter of the heat pump air conditioning unit in any running cycle, the performance attenuation coefficient of the heat pump air conditioning unit in the running cycle is obtained.

[0059] As an optional embodiment, the specific calculation method of the performance attenuation coefficient of the heat pump air conditioning unit in any running cycle is: ; wherein, represents the performance attenuation coefficient of the heat pump air conditioning unit in the running cycle; represents the performance coefficient of the heat pump air conditioning unit in the running cycle; represents the influence relationship parameter of the heat pump air conditioning unit.

[0060] It should be noted that, by combining the actual use operation abnormal scene with the standard use scene, the influence coefficient is obtained, and then the performance attenuation coefficient of the unit caused by the aging of the unit in the actual use process is obtained.

[0061] Finally, the running time of the heat pump air conditioning unit is taken as the weight, combined with the performance attenuation coefficient of the heat pump air conditioning unit, the aging coefficient of the heat pump air conditioning unit is obtained.

[0062] It should be noted that, since the heat pump air conditioning unit is in a continuous running state, the aging performance attenuation is a cumulative process, therefore, in the embodiment of the present application, the performance attenuation coefficient of the heat pump air conditioning unit is accumulated to obtain the aging index of the heat pump air conditioning unit, and the running time of the heat pump air conditioning unit is weighted and averaged.

[0063] As an optional embodiment, the specific calculation method of the aging index of the heat pump air conditioning unit is: ; wherein, represents the aging index of the heat pump air conditioning unit; represents the number of operation cycles, represents the total operation time length of the heat pump air conditioning unit in the th operation cycle; represents the performance attenuation coefficient of the heat pump air conditioning unit in the th operation cycle.

[0064] So far, the aging index of the heat pump air conditioning unit is obtained by the above method.

[0065] Step S004: running simulation is performed on the heat pump air conditioning unit by using simulation software, and the running response time in the simulation process is adjusted in combination with the aging index of the heat pump air conditioning unit in the cluster.

[0066] Specifically, first, the aging indexes of all heat pump air conditioning units in the cluster where the target heat pump air conditioning unit is located are obtained, and normal distribution fitting is performed, and 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.

[0067] Then, a preset running response time constant is corrected by using the actual aging index of the target heat pump air conditioning unit, and the corrected running response time constant is input into the running simulation model of the heat pump air conditioning unit, so as to improve the simulation authenticity of the heat pump air conditioning unit in the running simulation process.

[0068] As an optional embodiment, the specific calculation method of the corrected running response time constant is as follows: , wherein represents the corrected running response time constant; represents the preset running response time constant; represents the actual aging index of the target heat pump air conditioning unit.

[0069] It should be noted that in the embodiment of the present application, the running simulation parameter is corrected based on the existing heat pump air conditioning unit running simulation model and the aging of the equipment components in the actual running process of the air conditioning unit, so as to improve the equipment running authenticity under the equipment aging in the running simulation, and realize the whole life cycle running simulation of the running heat pump air conditioning unit.

[0070] Through the above steps, the running simulation of the heat pump air conditioning unit is completed.

[0071] Please refer to Figure 2Fig. 1 is a structural block diagram of a heat pump air conditioning unit operation simulation system according to an embodiment of the present application, which shows a structural block diagram of a heat pump air conditioning unit operation simulation system provided by an embodiment of the present application, the system comprising a memory 201, a processor 202, and a computer program 2011 stored in the memory 201 and executable on the processor 202, wherein the processor 202 implements steps S001 to S004 of a heat pump air conditioning unit operation simulation method when executing the computer program 2011.

[0072] The memory can be a volatile memory or a non-volatile memory, or can include both volatile and non-volatile memories, wherein the non-volatile memory can be a Read-Only Memory (ROM), a Programmable ROM (PROM), an Erasable PROM (EPROM), an Electrically EPROM (EEPROM), or a flash memory. The volatile memory can be a Random Access Memory (RAM) used as an external cache. By way of example but not limitation, many forms of RAM can be used. For example, Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDR SDRAM), Enhanced SDRAM (ESDRAM), Sync Link DRAM (SLDRAM), and Direct Rambus RAM (DRRAM).

[0073] The processor can be a central processing unit (CPU), and can also be other general-purpose processors, a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field-programmable gate array (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. The general-purpose processor can be a microprocessor or any conventional processor, or the like. It should be noted that the processor can be a processor supporting an advanced RISC machine (ARM) architecture.

[0074] It should be noted that the model used in the embodiment only represents a negative correlation relationship and restricts the result of the model output to be in the interval , and in actual implementation, other models having the same purpose can be used, and the embodiment is only described by taking the model as an example, and the model is not specifically limited, wherein represents input of the model.

[0075] The above merely describes the preferred embodiments of the present application and is not used to limit the present application, and any modification, equivalent replacement, improvement, or the like within the principles of the present application should be included in the protection scope of the present application.​

Claims

1. An operation simulation method for a heat pump air conditioning unit, characterized in that: The method comprises the following steps: Acquire a plurality of environmental data and operating data of a plurality of heat pump air-conditioning units respectively, wherein the operating data includes operating time and power; The environmental working coefficient of the heat pump air-conditioning unit is calculated by using the numerical distribution of each environmental data. The heat pump air-conditioning unit is clustered by combining all the environmental working coefficients of all the heat pump air-conditioning units to obtain several clusters. 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 the heat pump air-conditioning units with different powers 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 is simulated using simulation software, and the operation response time during the simulation process is adjusted in combination with the aging index of the heat pump air-conditioning unit in the cluster.

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

3. The operation simulation method for a heat pump air conditioning unit according to claim 1, characterized in that: The clustering of the heat pump air conditioning units by combining all the environmental operating coefficients of all the heat pump air conditioning units to obtain a number of clusters includes the following specific methods: 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 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, and all heat pump air-conditioning units are clustered using the K-means algorithm to obtain several clusters.

4. The operation simulation method for a heat pump air conditioning unit according to claim 1, characterized in that: The method of dividing the operation cycle of the heat pump air-conditioning unit and analyzing the aging of the heat pump air-conditioning unit in combination with the operation time of the heat pump air-conditioning units with different powers in any operation cycle, thereby obtaining the aging index of the heat pump air-conditioning unit, includes the following specific methods: According to the power variation difference of different heat pump air-conditioning units in any operation cycle and combined with the operation time, the difference impact coefficient of the heat pump air-conditioning units is calculated; According to the working setting adjustment of different heat pump air-conditioning units in any operating cycle and the difference between the performance coefficients, the difference influence coefficient is adjusted to obtain the influence relationship parameters of the heat pump air-conditioning units; The aging index of the heat pump air-conditioning unit is obtained based on the influencing relationship parameters and combined with the performance coefficient and total operating time of the heat pump air-conditioning unit during the operating cycle.

5. The operation simulation method for a heat pump air conditioning unit according to claim 4, characterized in that: The specific method for calculating the difference influence coefficient of the heat pump air conditioning unit based on the power change difference of different heat pump air conditioning units in any operation cycle and combined with the operation time is as follows: Taking one quarter as an operating cycle, and recording any heat pump air-conditioning unit as a target heat pump air-conditioning unit, the performance coefficient of the heat pump air-conditioning unit in any operating cycle is obtained based on the power difference between the starting time and the final time of the target heat pump air-conditioning unit in any operating cycle, as well as the total operating time of the heat pump air-conditioning unit in the operating cycle; The heat pump air-conditioning unit whose average power exceeds the rated power the most during the operation cycle is regarded as a high-power unit. The high-power operation proportion coefficient is calculated according to the high-power operation situation of the high-power unit. The difference in performance coefficient between the target heat pump air-conditioning unit and the high-power unit is combined to calculate the difference impact coefficient of the target heat pump air-conditioning unit.

6. The operation simulation method for a heat pump air conditioning unit according to claim 4, characterized in that: The specific method of the aging index of the heat pump air conditioning unit is: According to the working setting adjustment of different heat pump air-conditioning units in any operating cycle, the high-frequency unit is obtained and the influence factor is calculated. According to the influence factor, the performance coefficient difference between the heat pump air-conditioning unit and the high-frequency unit, and the differential influence coefficient of the heat pump air-conditioning unit, the influence relationship parameter of the heat pump air-conditioning unit is obtained, wherein the influence factor is negatively correlated with the influence relationship parameter, and the performance coefficient difference and the differential influence coefficient are both positively correlated with the influence relationship parameter; Combining the performance coefficient and influencing relationship parameters of the heat pump air-conditioning unit in any operation cycle, obtaining the performance attenuation coefficient of the heat pump air-conditioning unit in the operation cycle; The operating time of the heat pump air-conditioning unit is used as the weight and combined with the performance attenuation coefficient of the heat pump air-conditioning unit to obtain the aging coefficient of the heat pump air-conditioning unit.

7. The operation simulation method for a heat pump air conditioning unit according to claim 6, characterized in that: The method of obtaining high-frequency units and calculating impact factors based on the working setting adjustment of different heat pump air-conditioning units in any operating cycle includes the following specific methods: Obtain the frequency of adjusting the working settings of any heat pump air-conditioning unit and record it as the adjustment frequency of the heat pump air-conditioning unit. When the adjustment frequency is greater than the average adjustment frequency of all heat pump air-conditioning units and the value of the adjustment frequency is the largest, the corresponding heat pump air-conditioning unit is regarded as a high-frequency unit. The heat pump air-conditioning unit operating at rated power is regarded as a reference unit. The impact factor is calculated based on the adjustment frequency and operating time of the high-frequency unit relative to the reference unit.

8. The operation simulation method for a heat pump air conditioning unit according to claim 6, characterized in that: The method of using the operating time of the heat pump air-conditioning unit as a weight and combining it with the performance attenuation coefficient of the heat pump air-conditioning unit to obtain the aging coefficient of the heat pump air-conditioning unit includes the following specific methods: The specific calculation method of the aging index of the heat pump air-conditioning unit is: ;in, Indicates the aging index of the heat pump air conditioning unit; Indicates the number of operating cycles, Indicates that the heat pump air conditioning unit is The total running time of the running cycle; Indicates that the heat pump air conditioning unit is The performance degradation coefficient within an operating cycle.

9. The operation simulation method for a heat pump air conditioning unit according to claim 5, characterized in that: The method of using simulation software to simulate the operation of the heat pump air conditioning unit and adjusting the operation response time during the simulation process in combination with the aging index of the heat pump air conditioning unit in the cluster includes the following specific methods: Obtain the aging index of all heat pump air-conditioning units in the cluster where the target heat pump air-conditioning unit is located, perform normal distribution fitting, and use the aging index corresponding to the peak point in the normal distribution fitting result as the actual aging index of the target heat pump air-conditioning unit; The operation response time constant is preset, and the preset operation response time constant is corrected using the actual aging index of the target heat pump air-conditioning unit. The corrected operation response time constant is input into the operation simulation model of the heat pump air-conditioning unit to improve the simulation authenticity of the heat pump air-conditioning unit during the operation simulation process.

10. An operation simulation system for a heat pump air conditioning unit, 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, the steps of the operation simulation method for a heat pump air-conditioning unit according to any one of claims 1 to 9 are implemented.

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