A method and system for evaluating the cycle performance of an air conditioner box damper under high and low temperature environments

Abstract

The application relates to the technical field of air conditioner performance detection, and discloses a high-low temperature environment air conditioner box damper cycle performance evaluation method and system, wherein the method comprises the following steps: collecting initial performance benchmark parameters and normal temperature difference historical data of an air conditioner box damper in a normal temperature standard environment, constructing an AR time sequence model, and calculating residual benchmark parameters; constructing a residual EWMA control chart, determining an EWMA statistical quantity calculation formula and a control limit; performing air conditioner box damper cycle testing under high-low temperature test conditions, calculating an EWMA statistical quantity, and recording abnormal parameters; matching an expert rule library according to the abnormal parameters; calculating a performance attenuation rate according to the initial performance benchmark parameters and the damper performance parameters after cycle testing, setting a performance evaluation grade, and generating an air conditioner box damper cycle performance evaluation report. Through adaptation to high-low temperature conditions, elimination of dynamic interference by means of the AR model and the EWMA control chart, capture of damper micro-decay, and determination of fault sources by means of expert rules, a closed-loop evaluation is formed, and the evaluation accuracy and operation and maintenance efficiency are improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of air conditioning equipment performance detection, and in particular relates to a method and system for evaluating the cycling performance of an air conditioning box damper in high and low temperature environments. BACKGROUND

[0002] As the core executive component of a variable air volume air conditioning system, the cycling performance of an air conditioning box damper (including action consistency, sealing performance, drive torque stability, etc.) directly determines the temperature and humidity control accuracy and energy consumption level of the system. However, the existing methods for evaluating the cycling performance of an air conditioning box damper have significant technical defects, making it difficult to meet the actual application requirements: firstly, there is a lack of adaptability to extreme environments. The existing methods are mostly based on normal temperature stable working conditions for evaluation, without considering the influence of extreme working conditions such as damper component freezing in low temperature and sealing element aging in high temperature on the cycling performance, resulting in evaluation results that are inconsistent with actual application scenarios and unable to reflect the real performance of the damper in harsh environments; secondly, the problem of misjudgment of dynamic interference is prominent. Traditional evaluation relies on offline static testing, which cannot eliminate the interference caused by dynamic factors (such as load mutation and start-up transient process) in the operation of the air conditioning system and data autocorrelation, and is prone to misjudgment of normal parameter fluctuations as performance degradation, reducing the evaluation accuracy; thirdly, the fault root location capability is insufficient. The existing methods can only detect the phenomenon of "performance not meeting standards", but cannot distinguish whether the fault is caused by damper mechanical wear, sensor failure or parameter setting deviation, resulting in the need to check one by one during maintenance, which is inefficient; fourthly, the early warning capability is lacking. The existing methods rely on periodic shutdown detection, which cannot capture small performance degradation of the damper (such as initial aging of the sealing element) in real time, and is prone to miss the best maintenance opportunity, increasing the cost of later maintenance and the risk of system downtime.

[0003] Therefore, there is an urgent need for an air conditioning box damper cycling performance evaluation method that can adapt to high and low temperature extreme environments, effectively eliminate dynamic interference, accurately locate faults and provide early warning, in order to fill the gap in existing technology and meet the efficient operation and maintenance needs of air conditioning systems. SUMMARY

[0004] The present application provides a method and system for evaluating the cycling performance of an air conditioning box damper in high and low temperature environments, which adapts to high and low temperature working conditions, eliminates dynamic interference with AR(1) model and EWMA control chart, captures small performance degradation of the damper, and locates the fault source with expert rules, forming a closed-loop evaluation, improving the evaluation accuracy and operation and maintenance efficiency, and being suitable for damper factory detection and in-service maintenance.

[0005] The present application provides a method for evaluating the cycling performance of an air conditioning box damper in high and low temperature environments, comprising:

[0006] S1, configure high and low temperature test working conditions, and collect initial performance benchmark parameters of the air conditioning box damper in a normal temperature standard environment; wherein the initial performance benchmark parameters include an initial air leakage rate , initial action angle deviation , initial driving torque , initial temperature difference expectation ;

[0007] S2, collect normal-temperature temperature difference historical data under the normal-temperature standard environment, and construct an AR(1) time series model according to the normal-temperature temperature difference historical data, calculate temperature difference residual error and residual error reference parameter;

[0008] S3, construct a residual error EWMA control chart according to the residual error reference parameter, determine an EWMA statistical quantity calculation formula and a control limit, so as to form a judgment standard of performance abnormality of the air conditioner box damper; wherein, the control limit center line CL, the control upper limit UCL and the control lower limit LCL;

[0009] S4, execute the air conditioner box damper cycle test under the high-low temperature test working condition, collect the air conditioner box damper operation parameter in real time according to the EWMA control chart and calculate the EWMA statistical quantity, trigger the performance abnormality early warning and record the abnormal parameter;

[0010] S5, match the preset expert rule base according to the abnormal parameter, so as to diagnose the specific root cause of performance attenuation of the air conditioner box damper;

[0011] S6, calculate the performance attenuation rate according to the initial performance reference parameter and the damper performance parameter after the high-low temperature air conditioner box damper cycle test, set the performance evaluation level in combination with the number of abnormal early warnings, and generate an air conditioner box damper cycle performance evaluation report.

[0012] Further, the S1 specifically comprises: S101, configure a high-low temperature humidity chamber, and set a low temperature test working condition and a high temperature test working condition; wherein, the air speed in the high-low temperature humidity chamber is controlled to be 0.5 m / s±0.1 m / s, so as to simulate the actual air flow environment of the air conditioner room; the temperature of the low temperature test working condition is maintained at-10℃±0.5℃, and the relative humidity is maintained at 60%RH±5%RH; the temperature of the high temperature test working condition is maintained at 40℃±0.5℃, and the relative humidity is maintained at 85%RH±5%RH;

[0013] S102, place the air conditioner box damper in the set normal-temperature standard environment, execute the cycle action of opening for 30 s→keeping for 60 s→closing for 30 s for a first set number of times, and collect the initial leakage rate by using a temperature sensor, an air volume sensor, an air valve opening degree acquisition assembly and a static pressure sensor , initial action angle deviation , initial driving torque , initial temperature difference expectation .

[0014] Further, the S2 specifically comprises: S201, maintaining the air conditioning box damper at the normal temperature standard environment, performing the circulating action q times, and synchronously collecting the temperature difference of each cycle , i = 1, 2, …, q, to form a historical data set;

[0015] S202, according to the historical data set, adopting a least square method to fit an AR(1) autoregressive time series model to predict the temperature difference under high and low temperature conditions, and the formula is: ;

[0016] wherein, is the predicted value of the temperature difference after the i-th cycle, and the unit is ℃; is the measured value of the temperature difference after the i-1-th cycle, and the unit is ℃; is the initial temperature difference expectation, and the unit is ℃; is an autoregressive coefficient, and the value range is 0 < a < 1;

[0017] ;

[0018] wherein, is the temperature difference residual after the i-th cycle, and the unit is ℃; is the measured value of the temperature difference after the i-th cycle, and the unit is ℃; S204, dividing the historical data in the historical data set into m groups, each group containing n residual data, calculating the residual mean , the overall residual mean , and the residual standard deviation , and the calculation formula is: ;

[0019] wherein, is the arithmetic mean of the i-th group of residuals, and the unit is ℃; is the j-th residual data of the i-th group, and the unit is ℃; is the overall residual mean, and the unit is ℃; is the standard deviation of the overall residual, and the unit is ℃, which is calculated by the sample standard deviation formula.

[0020] Further, the S3 specifically comprises: S301, using an exponentially weighted moving average (EWMA) algorithm to weight and accumulate the temperature difference residual to amplify the small performance attenuation signal of the damper, wherein the EWMA statistic calculation formula is: wherein, is the EWMA statistic after the i-th cycle; is a weight factor; ​temperature difference residual after the i th cycle; EWMA statistic after the i-1 th cycle, initial value ; S302, set the center line CL, the control upper limit UCL and the control lower limit LCL of the EWMA control chart, and the formula is: ; ; ;

[0021] Wherein, CL is the center line of the EWMA control chart; UCL is the control upper limit of the EWMA control chart; LCL is the control lower limit of the EWMA control chart; L is the standard deviation multiple; i is the current cycle number;

[0022] S303, if LCL≤ ≤UCL, it is determined that the current cycle performance of the air conditioning box damper is normal; if >UCL or <LCL, performance abnormality early warning is triggered, and the cycle number, temperature difference , air volume , air valve opening at the time of abnormality occurrence are recorded.

[0023] Further, the S4 specifically comprises: S401, setting a cycle action flow as: the air conditioning box damper executes opening 30s→keeping 60s→closing 30s, and setting the single cycle time length and the cumulative execution cycle number;

[0024] S402, setting an environmental test sequence as: first executing a second set number of cycles under a low temperature test working condition, and then switching to a high temperature test working condition to execute a third set number of cycles, after each environmental switching, maintaining the high and low temperature humid heat chamber working condition stable for 30min, and then starting the cycle action;

[0025] S403, after completing 1 cycle, synchronously collecting the actual temperature , set temperature , actual air volume after the i th cycle , set air volume , air valve opening after the i th cycle , supply air static pressure after the i th cycle , set static pressure , and calculating , , , comparing with the control upper limit UCL and the control lower limit LCL in real time, and recording the abnormal parameters.

[0026] Further, the S5 specifically comprises: S501, based on the air conditioning box damper fault characteristics, setting a diagnosis threshold as: a temperature error threshold ,like If the temperature control is abnormal, then the airflow error threshold is considered to be malfunctioning. ,like If the airflow control is abnormal, then the static pressure error threshold is determined. ,like If the static pressure of the supply air is stable, then the extreme value of the damper opening is determined. , S502. Based on the abnormal parameters, construct expert rules to correspond to the air conditioning unit damper fault, specifically: if , , and If so, it is determined that the air conditioner unit's damper is mechanically worn or frozen, resulting in insufficient airflow.

[0027] like , , and If so, it is determined that the minimum airflow setting is too high, stemming from increased air leakage due to high-temperature aging of the seals; among them, Design the minimum airflow for the damper; if , , and If the abnormal parameters are found to be due to high-temperature drift of the flow sensor, it is determined that the misjudgment of the consistency of the air conditioning unit damper action is caused by this. S503: The abnormal parameters are matched one by one with the expert rules to output the specific root cause of the performance degradation and generate a fault diagnosis report.

[0028] Further, S6 specifically includes: S601, obtaining the damper performance parameters after the high and low temperature air conditioning unit damper cycle test to calculate the performance degradation rate; wherein, the damper performance parameters include the air leakage rate after cycle. Deviation in motion angle after cycle Driving torque after cycle The formula for calculating the performance degradation rate is: air leakage rate degradation rate. : Attenuation rate of motion angle deviation : Drive torque attenuation rate : S602. Based on the number of abnormal warnings and the attenuation rate, the damper circulation performance is divided into three levels: Qualified: Number of abnormal warnings ≤ 0, and , , ; Under maintenance: 1-3 abnormal warnings, and , , Unqualified: Number of abnormal warnings > 3, or , , If any one of the following conditions is met: S603, output evaluation level, performance degradation rate, root cause of failure, maintenance recommendations, a complete performance evaluation report of the air conditioning unit damper circulation under high and low temperature environments is generated.

[0029] This invention also provides a system for evaluating the air circulation performance of an air conditioning unit damper under high and low temperature environments, comprising:

[0030] The data acquisition module is used to configure high and low temperature test conditions and acquire the initial performance benchmark parameters of the air conditioning unit damper under normal temperature standard environment; wherein, the initial performance benchmark parameters include the initial air leakage rate. Initial motion angle deviation Initial driving torque Expected initial temperature difference ;

[0031] The calculation module is used to collect historical data of room temperature difference under the normal temperature standard environment, and to construct an AR(1) time series model based on the historical data of room temperature difference to calculate the temperature difference residual and residual reference parameters.

[0032] The determination module is used to construct a residual EWMA control chart based on the residual baseline parameters, determine the EWMA statistic calculation formula and control limits, so as to form a judgment standard for damper performance abnormality; wherein, the control limit center line CL, the upper control limit UCL and the lower control limit LCL;

[0033] The execution module is used to perform the air conditioning unit damper circulation test under the high and low temperature test conditions, collect the air conditioning unit damper operating parameters in real time according to the EWMA control chart and calculate the EWMA statistics, trigger performance abnormality warning and record abnormal parameters;

[0034] The diagnostic module is used to match the abnormal parameters with a preset expert rule base to diagnose the specific root cause of the performance degradation of the air conditioning unit damper.

[0035] The evaluation module is used to calculate the performance degradation rate based on the initial performance benchmark parameters and the damper performance parameters after the high and low temperature air conditioning unit damper circulation test, and to set the performance evaluation level in combination with the number of abnormal warnings, and generate an air conditioning unit damper circulation performance evaluation report.

[0036] The present invention also provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps of the above-described method.

[0037] The present invention also provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of the above-described method.

[0038] The beneficial effects of this invention are as follows:

[0039] This invention integrates extreme high and low temperature conditions into the evaluation process, overcoming the limitations of existing methods that are only based on normal temperature conditions. It can truly reflect the cyclic performance of dampers in harsh environments, making the evaluation results highly consistent with engineering application scenarios. With the synergistic effect of AR(1) time series model and residual EWMA control chart, the interference caused by dynamic factors and data autocorrelation in the operation of air conditioning system is effectively eliminated, avoiding the misjudgment of normal parameter fluctuations as performance degradation, and significantly improving the accuracy of performance evaluation. Through the EWMA control chart, the small performance degradation of dampers can be captured in real time. With the fault diagnosis mechanism based on expert rules, the root cause of performance degradation can be accurately located, greatly reducing the blind troubleshooting in the maintenance process, improving operation and maintenance efficiency. It is suitable for performance testing of dampers at the factory stage, and at the same time meets the long-term operation and maintenance evaluation needs of in-service dampers, providing strong support for the efficient and stable operation and energy consumption optimization of air conditioning systems. Attached Figure Description

[0040] Figure 1 This is a schematic diagram of a method flow according to an embodiment of the present invention.

[0041] Figure 2 This is a schematic diagram of the device structure according to an embodiment of the present invention.

[0042] Figure 3 This is a schematic diagram of the internal structure of a computer device according to an embodiment of the present invention.

[0043] The realization of the objective, functional features and advantages of the present invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0044] It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

[0045] like Figure 1 As shown, this invention provides a method for evaluating the damper circulation performance of an air conditioning unit under high and low temperature environments, comprising:

[0046] S1. Configure high and low temperature test conditions and collect the initial performance benchmark parameters of the air conditioning unit damper under normal temperature standard environment; wherein, the initial performance benchmark parameters include the initial air leakage rate. Initial motion angle deviation Initial driving torque Expected initial temperature difference The specific steps include the following:

[0047] S101. Configure a high and low temperature humidity chamber and set low temperature test conditions and high temperature test conditions; wherein, the wind speed inside the high and low temperature humidity chamber is controlled at 0.5m / s±0.1m / s to simulate the actual airflow environment of the air conditioning room.

[0048] ①Low temperature test conditions: Temperature maintained at -10℃±0.5℃, relative humidity maintained at 60%RH±5%RH;

[0049] ② High temperature test conditions: The temperature is maintained at 40℃±0.5℃ and the relative humidity is maintained at 85%RH±5%RH.

[0050] Establish the data acquisition and damper drive structure: Select three identical air conditioning unit dampers (including drive motors, damper blades, seals, and flow sensors), and discard any initially damaged parts. Connect the following testing equipment: a temperature sensor with an accuracy of ±0.1℃ (used to collect the actual temperature T and set temperature T of the air-conditioned area). set An airflow sensor with an accuracy of ±2% (used to collect the actual airflow F and the set airflow F). set A damper opening acquisition module with a resolution of 0.1% (used to acquire the damper opening control signal λ), and a static pressure sensor with an accuracy of ±1Pa (used to acquire the supply air static pressure P and the set static pressure P). set The data acquisition sampling frequency is set to 10s / time, and the data is stored in the industrial control computer.

[0051] S102. Place the air conditioning unit damper in a set standard ambient temperature environment (25℃±1℃, 50% RH±5% RH), and perform a cycle of opening for 30s → holding for 60s → closing for 30s for a first set number of times (e.g., 100 times). Use a temperature sensor, airflow sensor, damper opening acquisition component, and static pressure sensor to collect the initial air leakage rate. Initial motion angle deviation Initial driving torque Expected initial temperature difference .

[0052] ① Initial air leakage rate The pressure difference method is used to create a pressure difference of 50Pa±2Pa on both sides of the damper, measure the air leakage per unit time and calculate the air leakage rate.

[0053] ② Initial motion angle deviation Set the damper opening to 30%, 60%, and 90% respectively, and record the maximum deviation between the measured angle and the set value at each opening.

[0054] ③ Initial driving torque The minimum driving torque during the damper's operation is recorded by converting the current to torque of the drive motor.

[0055] ④ Expected initial temperature difference : Set T set =25℃, calculate the temperature difference θ=T−T during 100 cycles. set The arithmetic mean.

[0056] S2. Collect historical data on room temperature difference under the stated standard environment, and construct an AR(1) time series model based on the historical data on room temperature difference to calculate the temperature difference residual and residual baseline parameters. This includes the following specific steps:

[0057] S201. Maintain the air conditioning unit damper under the normal temperature standard environment, and perform the cycle action (open for 30s → hold for 60s → close for 30s) q times (e.g., 1000 times), simultaneously collecting the temperature difference of each cycle. , , i=1,2,…,q, forming a historical dataset;

[0058] S202. Based on the historical dataset, the least squares method is used to fit an AR(1) autoregressive time series model to predict the temperature difference under high and low temperature conditions. The formula is as follows: (1)

[0059] in, This is the predicted temperature difference after the i-th cycle, in °C. This is the measured temperature difference after the (i-1)th cycle, in °C. This represents the expected initial temperature difference, in °C. These are autoregressive coefficients, with values ​​ranging from 0 to 1. <1, obtained by fitting historical data using the least squares method, is used to characterize the autocorrelation of temperature difference.

[0060] S203. Based on the deviation between the predicted and measured values ​​of the AR(1) model, calculate the temperature difference residual to eliminate the interference of system dynamics (such as high and low temperature transients) and data autocorrelation. The residual calculation formula is as follows: (2)

[0061] in, The temperature difference residual after the i-th cycle is expressed in °C. The measured temperature difference after the i-th cycle is expressed in °C.

[0062] S204. Divide the historical data in the historical dataset into m=20 groups, each group containing n=50 residual data points, and calculate the mean of the residuals. Compared with the overall residual mean residual standard deviation The calculation formula is: (3) (4)

[0063] in, Let be the arithmetic mean of the residuals of the i-th group, in °C; This represents the j-th residual data in the i-th group, in °C. The mean of the overall residuals, in °C, serves as the baseline for the centerline of subsequent EWMA control charts. The standard deviation of the overall residuals, in °C, is calculated using the sample standard deviation formula and is used to determine the EWMA control limits.

[0064] S3. Construct a residual EWMA control chart based on the residual baseline parameters, determine the EWMA statistic calculation formula and control limits, and form a criterion for judging abnormal damper performance; wherein, the control limit center line CL, the upper control limit UCL, and the lower control limit LCL are defined. This includes the following specific steps: S301. Use the Exponential Weighted Moving Average (EWMA) algorithm to weight and accumulate the temperature difference residuals to amplify the small performance degradation signal of the damper, wherein the EWMA statistic calculation formula is: (5)

[0065] in, This is the EWMA statistic after the i-th iteration; The weighting factor is set to 0.1, balancing the sensitivity to performance degradation signals with anti-interference capabilities. The temperature difference residual after the i-th cycle is defined in the same way as in formula (2); The EWMA statistic after the (i-1)th iteration, with initial values... ;

[0066] S302. Set the center line CL, upper control limit UCL, and lower control limit LCL of the EWMA control chart. The formula is as follows: (6) (7) (8)

[0067] Where CL is the center line of the EWMA control chart; UCL is the upper control limit of the EWMA control chart; LCL is the lower control limit of the EWMA control chart; L is the standard deviation factor, with a value of 3, satisfying the 99.73% statistical confidence interval; i is the current loop number, which is dynamically updated as the test progresses.

[0068] S303, If LCL≤ If the value is ≤UCL, then the current circulation performance of the air conditioning unit damper is determined to be normal; if >UCL or <LCL, trigger a performance anomaly warning and record the loop count and temperature difference when the anomaly occurs. Air volume Air valve opening Parameters such as... S4. Under the high and low temperature test conditions, perform the air conditioning unit damper circulation test, collect the air conditioning unit damper operating parameters in real time according to the EWMA control chart, calculate the EWMA statistics, trigger performance anomaly warnings, and record abnormal parameters. This includes the following specific steps:

[0069] S401. Set the cycle operation process as follows: the air conditioning unit damper opens for 30 seconds (opening degree from 0% to 100%), maintains for 60 seconds (stable air supply), and closes for 30 seconds (opening degree from 100% to 0%), and sets the duration of a single cycle (e.g., 120 seconds) and the cumulative number of cycles (e.g., 10,000 times).

[0070] S402. Set the environmental test sequence as follows: First, perform the second set number of cycles (e.g., 5000 times) under the low temperature test condition (-10℃±0.5℃, 60% RH±5% RH), then switch to the high temperature test condition (40℃±0.5℃, 85% RH±5% RH) and perform the third set number of cycles (e.g., 5000 times). After each environmental switch, maintain the high and low temperature humidity chamber conditions stable for 30 minutes before starting the cycle.

[0071] S403. After each cycle is completed, the actual temperature of the air-conditioned area is synchronously collected after the i-th cycle. Set temperature (Maintaining a constant temperature of 25℃), actual air volume after the i-th cycle. Set air volume After the i-th cycle, the opening degree of the air valve Static pressure of the supply air after the i-th cycle Set static pressure And calculate according to formula (1) Formula (2) is used for calculation. Formula (5) is used for calculation. Real-time comparison Record abnormal parameters by controlling the upper limit UCL / lower limit LCL.

[0072] S5. Match the abnormal parameters to a preset expert rule base to diagnose the specific root cause of the performance degradation of the air conditioning unit damper. This includes the following specific steps:

[0073] S501. Based on the fault characteristics of the air conditioning unit damper, the diagnostic threshold is set as follows: ① Temperature error threshold ,like If the temperature control is abnormal, then it is determined that the air volume error threshold is abnormal; ,like If the air volume control is abnormal, then it is determined that the static pressure error threshold is abnormal; ,like If the static pressure of the supply air is stable, then the extreme value of the damper opening is set. (Slightly smaller opening control signal) (Excessive opening control signal); Rated air volume parameters: (Minimum airflow for damper design) (Maximum airflow for damper design) can be obtained from the damper product manual.

[0074] S502. Based on the abnormal parameters, construct expert rules to correspond to the air conditioning unit damper fault, specifically as follows:

[0075] ① Diagnosis of mechanical faults in air valves: If , , and If the air conditioner unit damper is mechanically worn or frozen, resulting in insufficient airflow; ② Minimum airflow setting deviation diagnosis: If , , and If so, it is determined that the minimum airflow setting is too high, stemming from increased air leakage due to high-temperature aging of the seals; among them, ③ Design minimum airflow for damper; ③ Flow sensor fault diagnosis: If , , and If the flow sensor is overheated and drifts, it is determined that this is causing a misjudgment of the consistency of the air conditioning unit's damper action.

[0076] S503. Match the abnormal parameters with the expert rules one by one, output the specific root cause of performance degradation (such as aging of the damper seal, sensor failure, mechanical freezing, etc.), and generate a fault diagnosis report.

[0077] S6. Based on the initial performance baseline parameters and the damper performance parameters after the high and low temperature air conditioning unit damper circulation test, calculate the performance degradation rate, and set the performance evaluation level in conjunction with the number of abnormal warnings, generating an air conditioning unit damper circulation performance evaluation report. This includes the following specific steps:

[0078] S601. Obtain the damper performance parameters after the high and low temperature air conditioning unit damper circulation test to calculate the performance degradation rate; wherein, the damper performance parameters include the air leakage rate after circulation. Deviation in motion angle after cycle Driving torque after cycle The formula for calculating the performance degradation rate is: air leakage rate degradation rate. : Attenuation rate of motion angle deviation : Drive torque attenuation rate : S602. Based on the number of abnormal warnings and the attenuation rate, the damper circulation performance is divided into three levels: ① Qualified: The number of abnormal warnings ≤ 0, and , , ② Under maintenance: 1-3 abnormal warnings issued, and , , ③ Unqualified: Number of abnormal warnings > 3, or , , If any of the following conditions are met: S603, output evaluation level, performance degradation rate, root cause of failure, maintenance recommendations (such as replacing seals, calibrating sensors, replacing dampers), a complete evaluation report on the air conditioning unit damper circulation performance under high and low temperature environments is generated.

[0079] like Figure 2 As shown, the present invention also provides a system for evaluating the air circulation performance of an air conditioning unit damper under high and low temperature environments, comprising:

[0080] Acquisition module 1 is used to configure high and low temperature test conditions and acquire the initial performance benchmark parameters of the air conditioning unit damper under normal temperature standard environment; wherein, the initial performance benchmark parameters include the initial air leakage rate. Initial motion angle deviation Initial driving torque Expected initial temperature difference ;Calculation module 2 is used to collect historical data of room temperature difference under the normal temperature standard environment, and construct an AR(1) time series model based on the historical data of room temperature difference to calculate the temperature difference residual and residual reference parameters.

[0081] Module 3 is used to construct a residual EWMA control chart based on the residual baseline parameters, determine the EWMA statistic calculation formula and control limits, and form a judgment standard for damper performance abnormality; wherein, the control limit center line CL, the upper control limit UCL and the lower control limit LCL;

[0082] Execution module 4 is used to perform the air conditioning unit damper circulation test under the high and low temperature test conditions, collect the air conditioning unit damper operating parameters in real time according to the EWMA control chart and calculate the EWMA statistics, trigger performance abnormality warning and record abnormal parameters;

[0083] Diagnostic module 5 is used to match the abnormal parameters with a preset expert rule base to diagnose the specific root cause of the performance degradation of the air conditioning unit damper.

[0084] Evaluation module 6 is used to calculate the performance degradation rate based on the initial performance benchmark parameters and the damper performance parameters after the high and low temperature air conditioning unit damper circulation test, and to set the performance evaluation level in combination with the number of abnormal warnings, and generate an air conditioning unit damper circulation performance evaluation report.

[0085] In one embodiment, the acquisition module 1 specifically includes:

[0086] The configuration unit is used to configure the high and low temperature humidity chamber and set the low temperature test conditions and high temperature test conditions. The air velocity inside the high and low temperature humidity chamber is controlled at 0.5 m / s ± 0.1 m / s to simulate the actual airflow environment of an air conditioning room. The temperature in the low temperature test condition is maintained at -10℃ ± 0.5℃, and the relative humidity is maintained at 60%RH ± 5%RH. The temperature in the high temperature test condition is maintained at 40℃ ± 0.5℃, and the relative humidity is maintained at 85%RH ± 5%RH.

[0087] The data acquisition unit is used to place the air conditioning unit damper under a set ambient temperature standard environment and perform a first set number of cycles of opening for 30 seconds → holding for 60 seconds → closing for 30 seconds. It uses a temperature sensor, an airflow sensor, a damper opening acquisition component, and a static pressure sensor to acquire the initial air leakage rate. Initial motion angle deviation Initial driving torque Expected initial temperature difference .

[0088] In one embodiment, the computing module 2 specifically includes:

[0089] The execution unit is used to maintain the air conditioning unit damper under the normal temperature standard environment, perform the cycle action q times, and synchronously collect the temperature difference of each cycle. , i=1,2,…,q, forming a historical dataset;

[0090] The fitting unit is used to fit an AR(1) autoregressive time series model using the least squares method based on the historical dataset to predict the temperature difference under high and low temperature conditions. The formula is as follows: in, This is the predicted temperature difference after the i-th cycle, in °C. This is the measured temperature difference after the (i-1)th cycle, in °C. This represents the expected initial temperature difference, in °C. These are autoregressive coefficients, with values ​​ranging from 0 to 1. <1; Temperature residual calculation unit, used to calculate temperature difference residual based on the deviation between the predicted value and the measured value of AR(1) model, the calculation formula is: ;

[0091] in, The temperature difference residual after the i-th cycle is expressed in °C. The measured temperature difference after the i-th cycle is expressed in °C; the partitioning unit is used to divide the historical data in the historical dataset into m groups, each group containing n residual data points, and to calculate the mean of the residuals. Compared with the overall residual mean residual standard deviation The calculation formula is: ; ;

[0092] in, Let be the arithmetic mean of the residuals of the i-th group, in °C; This represents the j-th residual data in the i-th group, in °C. The value represents the overall residual mean, in °C. The standard deviation of the overall residuals is expressed in °C and is calculated using the sample standard deviation formula.

[0093] In one embodiment, determining module 3 specifically includes:

[0094] The accumulation unit is used to accumulate the temperature difference residuals using the Exponentially Weighted Moving Average (EWMA) algorithm to amplify the small performance degradation signal of the damper. The EWMA statistic is calculated using the following formula:

[0095] in, This is the EWMA statistic after the i-th iteration; As a weighting factor; The temperature difference residual after the i-th cycle; The EWMA statistic after the (i-1)th iteration, with initial values... ;

[0096] The setting unit is used to set the centerline CL, upper control limit UCL, and lower control limit LCL of the EWMA control chart. The formula is as follows: ; ; ;

[0097] Where CL is the center line of the EWMA control chart; UCL is the upper control limit of the EWMA control chart; LCL is the lower control limit of the EWMA control chart; L is the standard deviation factor; and i is the current loop number.

[0098] S303, If LCL≤ If the value is ≤UCL, then the current circulation performance of the air conditioning unit damper is determined to be normal; if >UCL or <LCL, trigger a performance anomaly warning and record the loop count and temperature difference when the anomaly occurs. Air volume Air valve opening .

[0099] In one embodiment, execution module 4 specifically includes:

[0100] The process setting unit is used to set the cyclic action process as follows: the air conditioning unit damper is opened for 30 seconds → held for 60 seconds → closed for 30 seconds, and the duration of a single cycle and the cumulative number of cycles are set.

[0101] The environment setting unit is used to set the environmental test sequence as follows: first, execute the second set number of cycles under low temperature test conditions, then switch to high temperature test conditions and execute the third set number of cycles. After each environmental switch, maintain the high and low temperature humidity chamber conditions stable for 30 minutes before starting the cycle. The post-cycle acquisition unit is used to synchronously acquire the actual temperature of the air-conditioned area after each cycle. Set temperature Actual air volume after the i-th cycle Set air volume After the i-th cycle, the opening degree of the air valve Static pressure of the supply air after the i-th cycle Set static pressure and calculate , , Real-time comparison Record abnormal parameters by setting the upper control limit (UCL) and lower control limit (LCL).

[0102] In one embodiment, diagnostic module 5 specifically includes:

[0103] The diagnostic threshold setting unit is used to set a diagnostic threshold as a temperature error threshold based on the fault characteristics of the air conditioning unit damper. ,like If the temperature control is abnormal, then the airflow error threshold is considered to be malfunctioning. ,like If the airflow control is abnormal, then the static pressure error threshold is determined. ,like If the static pressure of the supply air is stable, then the extreme value of the damper opening is determined. , The expert rule construction unit is used to construct expert rules corresponding to the air conditioning unit damper fault based on the abnormal parameters, specifically: if , , and If so, it is determined that the air conditioner unit's damper is mechanically worn or frozen, resulting in insufficient airflow.

[0104] like , , and If so, it is determined that the minimum airflow setting is too high, stemming from increased air leakage due to high-temperature aging of the seals; among them, Design the minimum airflow for the damper; if , , and If the abnormal parameters are found to be due to high-temperature drift of the flow sensor, it is determined that this is causing a misjudgment of the consistency of the air conditioning unit's damper action. The report generation unit is used to match the abnormal parameters with expert rules one by one, output the specific root cause of the performance degradation, and generate a fault diagnosis report.

[0105] In one embodiment, evaluation module 6 specifically includes:

[0106] The attenuation rate calculation unit is used to obtain the damper performance parameters after the high and low temperature air conditioning unit damper circulation test to calculate the performance attenuation rate; wherein, the damper performance parameters include the air leakage rate after circulation. Deviation in motion angle after cycle Driving torque after cycle The formula for calculating the performance degradation rate is: air leakage rate degradation rate. : Attenuation rate of motion angle deviation : Drive torque attenuation rate : The performance classification unit is used to classify the damper circulation performance into three levels based on the number of abnormal warnings and the attenuation rate: Qualified: Number of abnormal warnings ≤ 0, and , , ; Under maintenance: 1-3 abnormal warnings, and , , Unqualified: Number of abnormal warnings > 3, or , , If any of the conditions are met; the output unit is used to output the evaluation level, performance degradation rate, root cause of failure, and maintenance recommendations, forming a complete evaluation report on the air conditioning unit damper circulation performance under high and low temperature environments.

[0107] Each of the above modules and units is used to perform the respective steps in the above method for evaluating the air conditioning unit damper circulation performance under high and low temperature conditions. The specific implementation method is as described in the above method embodiment, and will not be repeated here.

[0108] like Figure 3 As shown, the present invention also provides a computer device, which may be a server, and its internal structure may be as follows: Figure 3As shown, the computer device includes a processor, memory, network interface, and database connected via a system bus. The processor provides computational and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system, computer programs, and database. The internal memory provides the environment for the operation of the operating system and computer programs in the non-volatile storage media. The database stores all data required for the process of evaluating the damper circulation performance of an air conditioning unit under high and low temperature environments. The network interface is used for communication with external terminals via a network connection. When the processor executes the computer program, it implements the method for evaluating the damper circulation performance of an air conditioning unit under high and low temperature environments.

[0109] Those skilled in the art will understand that Figure 3 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer equipment on which the present application is applied.

[0110] An embodiment of this application also provides a computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements any of the above-described methods for evaluating the air conditioning unit damper circulation performance under high and low temperature environments.

[0111] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments of the above methods. Any references to memory, storage, databases, or other media used in this application and in the embodiments can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual-speed SDRAM (SSRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), RAMbus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0112] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, apparatus, article, or method that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, apparatus, article, or method. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, apparatus, article, or method that includes that element.

[0113] The above description is merely a preferred embodiment of the present invention and does not limit the patent scope of the present invention. Any equivalent structural or procedural transformations made based on the content of the present invention's specification and drawings, or direct or indirect applications in other related technical fields, are similarly included within the patent protection scope of the present invention.

Claims

1. A method for evaluating the air circulation performance of an air conditioning unit damper under high and low temperature environments, characterized in that, include: S1. Configure high and low temperature test conditions and collect the initial performance benchmark parameters of the air conditioning unit damper under normal temperature standard environment; wherein, the initial performance benchmark parameters include the initial air leakage rate. Initial motion angle deviation Initial driving torque Expected initial temperature difference Specifically, it includes: S101. Configure a high and low temperature humidity chamber and set low temperature test conditions and high temperature test conditions; wherein, the wind speed inside the high and low temperature humidity chamber is controlled at 0.5m / s±0.1m / s to simulate the actual airflow environment of an air conditioning room; the temperature of the low temperature test condition is maintained at -10℃±0.5℃ and the relative humidity is maintained at 60%RH±5%RH; the temperature of the high temperature test condition is maintained at 40℃±0.5℃ and the relative humidity is maintained at 85%RH±5%RH. S102. Place the air conditioning unit damper under a set standard ambient temperature environment and perform a first set number of cycles of opening for 30 seconds → holding for 60 seconds → closing for 30 seconds. Use a temperature sensor, airflow sensor, damper opening acquisition component, and static pressure sensor to collect the initial air leakage rate. Initial motion angle deviation Initial driving torque Expected initial temperature difference ; S2. Collect historical data of room temperature difference under the normal temperature standard environment, and construct an AR(1) time series model based on the historical data of room temperature difference to calculate the temperature difference residual and residual reference parameters. S3. Construct a residual EWMA control chart based on the residual baseline parameters, determine the EWMA statistic calculation formula and control limits, and form a judgment standard for damper performance abnormality; wherein, the control limit center line CL, the upper control limit UCL, and the lower control limit LCL; S4. Under the high and low temperature test conditions, perform the air conditioning unit damper circulation test, collect the air conditioning unit damper operating parameters in real time according to the EWMA control chart, calculate the EWMA statistics, trigger a performance anomaly warning, and record the abnormal parameters; specifically including: S401. Set the cycle operation process as follows: the air conditioning unit damper opens for 30 seconds → holds for 60 seconds → closes for 30 seconds, and set the duration of a single cycle and the cumulative number of cycles. S402. Set the environmental test sequence as follows: first, execute the second set number of cycles under low temperature test conditions, then switch to high temperature test conditions and execute the third set number of cycles. After each environmental switch, maintain the high and low temperature humidity chamber conditions stable for 30 minutes before starting the cycle. S403. After each cycle is completed, the actual temperature of the air-conditioned area is synchronously collected after the i-th cycle. Set temperature Actual air volume after the i-th cycle Set air volume After the i-th cycle, the opening degree of the air valve Static pressure of the supply air after the i-th cycle Set static pressure and calculate , , Real-time comparison Record abnormal parameters by setting the upper control limit (UCL) and lower control limit (LCL); S5. Match the abnormal parameters with a preset expert rule base to diagnose the specific root cause of the performance degradation of the air conditioning unit damper; S6. Based on the initial performance benchmark parameters and the damper performance parameters after the high and low temperature air conditioning unit damper circulation test, calculate the performance degradation rate, and set the performance evaluation level in combination with the number of abnormal warnings, and generate an air conditioning unit damper circulation performance evaluation report.

2. The method for evaluating the air circulation performance of an air conditioning unit under high and low temperature environments according to claim 1, characterized in that, S2 specifically includes: S201. Maintain the air conditioning unit damper under the normal temperature standard environment, perform the cycle action q times, and synchronously collect the temperature difference of each cycle. , i=1,2,…,q, forming a historical dataset; S202. Based on the historical dataset, the least squares method is used to fit an AR(1) autoregressive time series model to predict the temperature difference under high and low temperature conditions. The formula is as follows: in, This is the predicted temperature difference after the i-th cycle, in °C. This is the measured temperature difference after the (i-1)th cycle, in °C. The initial temperature difference is the expected value, in °C. These are autoregressive coefficients, with values ​​ranging from 0 to 1. <1; S203. Based on the deviation between the predicted and measured values ​​of the AR(1) model, calculate the temperature difference residual. The calculation formula is as follows: in, The temperature difference residual after the i-th cycle is expressed in °C. S204. The measured temperature difference after the i-th cycle, in °C; S205. Divide the historical data in the historical dataset into m groups, each group containing n residual data, and calculate the mean of the residuals. Compared with the overall residual mean residual standard deviation The calculation formula is: in, Let be the arithmetic mean of the residuals of the i-th group, in °C; This represents the j-th residual data in the i-th group, in °C. The value represents the overall residual mean, in °C. The standard deviation of the overall residuals is expressed in °C and is calculated using the sample standard deviation formula.

3. The method for evaluating the air circulation performance of an air conditioning unit under high and low temperature environments according to claim 2, characterized in that, S3 specifically includes: S301. The exponentially weighted moving average (EWMA) algorithm is used to weight and accumulate the temperature difference residuals to amplify the small performance degradation signal of the damper. The EWMA statistic is calculated as follows: in, This is the EWMA statistic after the i-th iteration; As a weighting factor; The temperature difference residual after the i-th cycle; The EWMA statistic after the (i-1)th iteration, with initial values... S302. Set the center line CL, upper control limit UCL, and lower control limit LCL of the EWMA control chart. The formula is as follows: Where CL is the center line of the EWMA control chart; UCL is the upper control limit of the EWMA control chart; LCL is the lower control limit of the EWMA control chart; L is the standard deviation factor; and i is the current loop number. S303, If LCL≤ If the value is ≤UCL, then the current circulation performance of the air conditioning unit damper is determined to be normal; if >UCL or <LCL, trigger a performance anomaly warning and record the loop count and temperature difference when the anomaly occurs. Air volume Air valve opening .

4. The method for evaluating the air circulation performance of an air conditioning unit under high and low temperature environments according to claim 3, characterized in that, S5 specifically includes: S501. Based on the fault characteristics of the air conditioning unit damper, the diagnostic threshold is set as: temperature error threshold. ,like If the temperature control is abnormal, then the airflow error threshold is considered to be malfunctioning. ,like If the airflow control is abnormal, then the static pressure error threshold is determined. ,like If the static pressure of the supply air is stable, then the extreme value of the damper opening is determined. , ; S502. Based on the abnormal parameters, construct expert rules to correspond to the air conditioning unit damper fault, specifically: if , , and If so, it is determined that the air conditioner unit's damper is mechanically worn or frozen, resulting in insufficient airflow. like , , and If so, it is determined that the minimum airflow setting is too high, stemming from increased air leakage due to high-temperature aging of the seals; among them, Design the minimum airflow for the damper; if , , and If this occurs, it is determined that the flow sensor is drifting due to high temperature, leading to a misjudgment of the consistency of the air conditioning unit's damper action. S503. Match the abnormal parameters with the expert rules one by one, output the specific root cause of performance degradation, and generate a fault diagnosis report.

5. The method for evaluating the air circulation performance of an air conditioning unit under high and low temperature environments according to claim 4, characterized in that, S6 specifically includes: S601, obtaining the damper performance parameters after the high and low temperature air conditioning unit damper cycle test to calculate the performance degradation rate; wherein, the damper performance parameters include the air leakage rate after cycle. Deviation in motion angle after cycle Driving torque after cycle The formula for calculating the performance degradation rate is: air leakage rate degradation rate. : Attenuation rate of motion angle deviation : Drive torque attenuation rate : S602. Based on the number of abnormal warnings and the attenuation rate, the damper circulation performance is divided into three levels: Qualified: Number of abnormal warnings ≤ 0, and , , ; Under maintenance: 1-3 abnormal warnings, and , , Unqualified: Number of abnormal warnings > 3, or , , If any one of the following conditions is met: S603, output evaluation level, performance degradation rate, root cause of failure, maintenance recommendations, a complete performance evaluation report of the air conditioning unit damper circulation under high and low temperature environments is generated.

6. A system for evaluating the air circulation performance of an air conditioning unit under high and low temperature environments, characterized in that, The method for evaluating the air circulation performance of an air conditioning unit damper under high and low temperature environments according to any one of claims 1-5, the system comprising: The data acquisition module is used to configure high and low temperature test conditions and acquire the initial performance benchmark parameters of the air conditioning unit damper under normal temperature standard environment; wherein, the initial performance benchmark parameters include the initial air leakage rate. Initial motion angle deviation Initial driving torque Expected initial temperature difference The calculation module is used to collect historical data of room temperature difference under the normal temperature standard environment, and to construct an AR(1) time series model based on the historical data of room temperature difference to calculate the temperature difference residual and residual reference parameters. The determination module is used to construct a residual EWMA control chart based on the residual baseline parameters, determine the EWMA statistic calculation formula and control limits, so as to form a judgment standard for damper performance abnormality; wherein, the control limit center line CL, the upper control limit UCL and the lower control limit LCL; The execution module is used to perform the air conditioning unit damper circulation test under the high and low temperature test conditions, collect the air conditioning unit damper operating parameters in real time according to the EWMA control chart and calculate the EWMA statistics, trigger performance abnormality warning and record abnormal parameters; The diagnostic module is used to match the abnormal parameters with a preset expert rule base to diagnose the specific root cause of the performance degradation of the air conditioning unit damper. The evaluation module is used to calculate the performance degradation rate based on the initial performance benchmark parameters and the damper performance parameters after the high and low temperature air conditioning unit damper circulation test, and to set the performance evaluation level in combination with the number of abnormal warnings, and generate an air conditioning unit damper circulation performance evaluation report.

7. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 5.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 5.

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