Air conditioner calibration verification method and device, storage medium and chip

Abstract

The invention relates to the technical field of air conditioners, in particular to an air conditioner calibration verification method and device, a storage medium and a chip, simulation operation parameters of different simulation external conditions are verified through simulation steady-state temperature, and a transient temperature prediction model can be generalized to different working conditions. The air conditioner calibration verification method comprises the steps that simulation operation parameters of a simulation air conditioner under different target simulation external conditions are determined; the simulation operation parameters are input into a transient temperature prediction model, a plurality of simulation prediction transient temperatures output by the transient temperature prediction model according to the simulation operation parameters in a target time period are obtained, and the transient temperature prediction model is constructed based on a solid heat conduction rule; according to the plurality of simulation prediction transient temperatures, obtaining simulation prediction steady-state temperatures of the simulation key points; and according to the simulation prediction steady-state temperature, the simulation operation parameters of the simulation air conditioner are verified.

Description

Technical Field

[0001] The present disclosure relates to the technical field of air conditioners, and in particular to an air conditioner calibration and verification method, device, storage medium and chip. Background Art

[0002] In the related art, during the air conditioner calibration process, the calibration engineer mainly uses the data corresponding to several extreme external conditions and a small amount of conventional external conditions as the manual calibration conditions to perform air conditioner calibration. In this case, the universality of the data obtained is low, and the data acquisition process is easily interfered by external factors, resulting in poor data quality. Summary of the invention

[0003] In order to overcome the problems existing in the related art, the present disclosure provides an air conditioner calibration verification method, device, storage medium and chip.

[0004] According to a first aspect of an embodiment of the present disclosure, there is provided an air conditioner calibration verification method, comprising:

[0005] Determine the simulation operation parameters of the simulated air conditioner under different target simulation external conditions;

[0006] Inputting the simulation operation parameters into a transient temperature prediction model respectively, obtaining a plurality of simulation predicted transient temperatures output by the transient temperature prediction model according to the simulation operation parameters within a target time period, wherein the transient temperature prediction model is constructed based on the solid thermal conductivity law;

[0007] Obtaining a simulation predicted steady-state temperature of a simulation key point according to a plurality of the simulation predicted transient temperatures;

[0008] The simulated operating parameters of the simulated air conditioner are verified according to the simulated predicted steady-state temperature.

[0009] Optionally, the simulation operation parameters include a simulated wind temperature and a simulated wind volume, and determining the simulation operation parameters of the simulated air conditioner under different target simulated external conditions includes:

[0010] Taking any simulated air outlet of the simulated air conditioner as a target simulated air outlet;

[0011] Determine the simulated wind temperature and simulated wind volume of the target simulated air outlet;

[0012] The simulated wind temperature and simulated wind volume of all the simulated air outlets on the simulated air conditioner are obtained according to the simulated wind temperature, the simulated wind volume, and preset constraint values ​​of the target simulated air outlet and other simulated air outlets on the simulated air conditioner.

[0013] Optionally, the simulated air conditioner is provided on a simulated vehicle, and the step of determining the simulated wind temperature and simulated wind volume of the target simulated air outlet includes:

[0014] According to the preset mode air volume distribution table, query and obtain the simulated air volume of the target simulated air outlet of the simulated air conditioner in the current mode;

[0015] Determining a simulated external ambient temperature of the simulated vehicle, a simulated vehicle speed of the simulated vehicle, a simulated cross-sectional area of ​​the target simulated air outlet, and a simulated air outlet duct length;

[0016] The simulated air temperature of the target simulated air outlet is obtained according to the simulated air volume, the simulated cross-sectional area, the simulated air outlet duct length, the simulated external ambient temperature and the simulated vehicle speed.

[0017] Optionally, the simulated air conditioner is arranged on the simulated vehicle, and the simulated external conditions include sunlight, the external temperature of the simulated vehicle and the simulated speed of the simulated vehicle.

[0018] The target simulation external conditions are determined in the following manner:

[0019] According to the multivariate verification requirement, at least two of the sunlight, the outside temperature and the simulated vehicle speed are adjusted by grid sampling to obtain the target simulated outside condition;

[0020] or,

[0021] According to the single variable verification requirement, one of the sunlight, the outside temperature and the simulated vehicle speed is adjusted through grid sampling to obtain the simulated outside condition.

[0022] Optionally, verifying the calibration parameters of the simulated air conditioner according to the simulated predicted steady-state temperature includes:

[0023] Determining the temperature difference between the simulation predicted steady-state temperature and the simulation target steady-state temperature;

[0024] If the temperature difference is less than the temperature difference threshold, it is determined that the calibration parameters of the simulated air conditioner are qualified under the target simulated external conditions.

[0025] Optionally, the air conditioner calibration verification method further includes:

[0026] If the temperature difference is greater than or equal to the temperature difference threshold, the simulation operation parameters are optimized by a gradient descent algorithm to obtain optimized simulation operation parameters, and the optimized simulation operation parameters are input into the transient temperature prediction model as new simulation operation parameters until the obtained temperature difference is less than the temperature difference threshold.

[0027] According to a second aspect of an embodiment of the present disclosure, there is provided an air conditioner calibration verification device, comprising:

[0028] A determination module is configured to determine simulation operation parameters of the simulated air conditioner under different target simulation external conditions;

[0029] A prediction module is configured to input the simulation operation parameters into a transient temperature prediction model respectively, and obtain a plurality of simulation predicted transient temperatures output by the transient temperature prediction model according to the simulation operation parameters within a target time period, wherein the transient temperature prediction model is constructed based on the solid thermal conductivity law;

[0030] A control module is configured to obtain a simulation predicted steady-state temperature of the simulation key point according to a plurality of the simulation predicted transient temperatures;

[0031] The verification module is configured to verify the simulation operation parameters of the simulated air conditioner according to the simulated predicted steady-state temperature.

[0032] According to a third aspect of an embodiment of the present disclosure, another air conditioner calibration verification device is provided, comprising:

[0033] a first processor;

[0034] a first memory for storing first processor executable instructions;

[0035] Wherein, the first processor is configured as follows:

[0036] Determine the simulation operation parameters of the simulated air conditioner under different target simulation external conditions;

[0037] Inputting the simulation operation parameters into a transient temperature prediction model respectively, obtaining a plurality of simulation predicted transient temperatures output by the transient temperature prediction model according to the simulation operation parameters within a target time period, wherein the transient temperature prediction model is constructed based on the solid thermal conductivity law;

[0038] Obtaining the simulation predicted steady-state temperature of the simulation key point according to the plurality of simulation predicted transient temperatures;

[0039] The simulated operating parameters of the simulated air conditioner are verified based on the simulated predicted steady-state temperature.

[0040] According to a fourth aspect of an embodiment of the present disclosure, a computer-readable storage medium is provided, on which computer program instructions are stored. When the program instructions are executed by a processor, the steps of the air conditioner calibration verification method provided in the first aspect of the present disclosure are implemented.

[0041] According to a fifth aspect of an embodiment of the present disclosure, a chip is provided, comprising a second processor and an interface; the second processor is used to read instructions to execute the air conditioner calibration and verification method described in the first aspect.

[0042] The technical solution provided by the embodiments of the present disclosure may include the following beneficial effects: the present disclosure determines the corresponding simulation operation parameters for different simulation external conditions based on the simulation method, and the transient temperature prediction model outputs multiple simulation predicted transient temperatures according to the simulation operation parameters within the target time period, and the simulation air conditioning calibration is verified according to the simulation steady-state temperature obtained from the multiple predicted transient temperatures. The acquisition of simulation operation parameters is not interfered by external factors, which improves the data quality and universality of the data. The simulation operation parameters of different simulation external conditions are verified by the simulation steady-state temperature, so that the transient temperature prediction model can be generalized to different working conditions.

[0043] It is to be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and, together with the description, serve to explain the principles of the present disclosure.

[0045] Figure 1 The present invention is a flowchart of an air conditioner calibration verification method according to an exemplary embodiment.

[0046] Figure 2 is a schematic diagram showing key points of simulation according to an exemplary embodiment.

[0047] Figure 3 is a flowchart of step S11 according to an exemplary embodiment.

[0048] Figure 4 is a flowchart of step S22 according to an exemplary embodiment.

[0049] Figure 5 The figure is a schematic diagram showing simulation operation parameters and simulation predicted steady-state temperature according to an exemplary embodiment.

[0050] Figure 6 is another schematic diagram showing simulation operating parameters and simulation predicted steady-state temperature according to an exemplary embodiment.

[0051] Figure 7 is a schematic diagram showing simulated operating parameters of a simulated air conditioner according to an exemplary embodiment.

[0052] Figure 8 is another flow chart of an air conditioner calibration verification method according to an exemplary embodiment. Fig. 9 The present invention is a block diagram of an air conditioner calibration and verification device according to an exemplary embodiment.

[0053] Fig.10is another block diagram of an air conditioner calibration and verification device according to an exemplary embodiment. DETAILED DESCRIPTION

[0054] Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present disclosure. Instead, they are merely examples of devices and methods consistent with some aspects of the present disclosure as detailed in the appended claims.

[0055] It should be noted that all actions of obtaining parameters in the present disclosure are performed in compliance with the corresponding data protection laws and policies of the country where the device is located and with the authorization given by the corresponding device owner.

[0056] Figure 1 is a flow chart of an air conditioner calibration verification method according to an exemplary embodiment. The air conditioner calibration verification method can verify air conditioners of different models in different places, such as Figure 1 As shown, taking the air conditioner calibration verification method for a terminal device as an example, the terminal device includes a computer, a tablet device, a switch, a file server, and a database server, etc., the air conditioner calibration verification method includes the following steps:

[0057] In step S11, simulation operation parameters of the simulated air conditioner under different target simulated external conditions are determined.

[0058] Among them, the values ​​of the simulation operation parameters of the simulated air conditioner under different target simulation external conditions are different.

[0059] In step S12, the simulation operation parameters are respectively input into the transient temperature prediction model to obtain multiple simulated predicted transient temperatures output by the transient temperature prediction model according to the simulation operation parameters within the target time period. The transient temperature prediction model is constructed based on the solid thermal conductivity law.

[0060] Among them, the target time period can be preset according to the time required for the temperature in the car to reach a steady state after starting the air conditioner. When the temperature difference between the simulated predicted transient temperature output by the transient temperature prediction model according to the simulation operation parameters and the target transient temperature is less than the target temperature difference, it is determined that the temperature in the car has reached a steady state. In the embodiment of the present disclosure, the target temperature difference is taken as 1e-3.

[0061] For example, the simulation operation parameters are respectively input into the transient temperature prediction model. The transient temperature prediction model gradually predicts the simulation predicted transient temperature at the next moment according to the current simulation operation parameters. For the simulation predicted transient temperature at each moment, it is judged whether the temperature difference between the simulation predicted transient temperature at that moment and the target transient temperature is less than 1e-3 to determine whether the temperature inside the vehicle has reached a steady state.

[0062] Among them, the transient temperature prediction model includes the average temperature prediction model in the vehicle and the target position temperature prediction model;

[0063] The in-car average temperature prediction model is used to predict the in-car average temperature based on the input current operating parameters. Its construction process includes: taking the total energy of the gas in the car as the independent variable and the in-car average temperature as the dependent variable, the in-car average temperature prediction model is constructed, specifically T 车内平均 =ΔQ 车 / λ1=(ΔQ 空调 +ΔQ 内环境 +ΔQ 人体 +ΔQ 外环境 ) / λ1,T 车内平均 Characterizes the average temperature inside the simulated vehicle, ΔQ 车 represents the total energy of the gas in the simulated vehicle, λ1 represents the first weight parameter, ΔQ 空调 Characterizes the heat output of the simulated air conditioner, ΔQ 内环境 Characterize the interior ambient thermal energy of the simulated vehicle, ΔQ 人体 Characterize human body heat energy, ΔQ, inside a simulated vehicle 外环境 Characterize the external thermal environment of a simulated vehicle.

[0064] The target position temperature prediction model is used to output the predicted transient temperature of the target position according to the input predicted average temperature in the vehicle. The target position temperature prediction model includes the direct blowing key point temperature function and the non-direct blowing key point temperature function, wherein the direct blowing key point function includes: ΔQ 直吹关键点 =T 风温1 -ΔQ 损失1 ΔQ 直吹关键点 Characterize the key point temperature of direct blowing, T 风温1 Characterizes the air temperature of the simulated air outlet corresponding to the direct blowing key point, ΔQ 损失1 Characterizes the loss temperature from the simulated air outlet to the direct blowing key point; the non-direct blowing key point functions include: ΔQ 损失2 =(T 风温2 -T 车内平均 ) / 2;Q 损失2 Characterize the loss temperature from the simulated air outlet to the non-direct blowing key point, T 风温2 Characterizes the air temperature at the simulated outlet corresponding to the non-direct blowing key point, T 车内平均 Characterizes the average interior temperature of a simulated vehicle.

[0065] In step S13, the simulation predicted steady-state temperature of the simulation key point is obtained according to the multiple simulation predicted transient temperatures.

[0066] Among them, the simulation key points can be determined according to the sensor position in the simulation scene. The simulation key points can be the simulation key points on the head, hands, feet and legs of the people in the car, such as the forehead, knees, instep, wrists, etc.

[0067] For example, take the key points of the head of the person in the car as an example, see Figure 2 In the finite element model of the simulated occupant and the simulated vehicle, the key points of the simulated head of the simulated occupant are determined according to the positions of the simulated sensors. During the simulation process, the temperature of the key points of the simulated head is calculated to be equivalent to the temperature collected by the sensor set near the head of the occupant in the real scene.

[0068] For example, an average value of multiple simulation-predicted transient temperatures is calculated, and the average value is used as the simulation-predicted steady-state temperature of the simulation key point.

[0069] In step S14, the simulated operating parameters of the simulated air conditioner are verified according to the simulated predicted steady-state temperature.

[0070] Among them, the simulation operation parameters of the simulated air conditioner under different target external conditions are verified according to the simulated predicted steady-state temperature, thereby improving the generalization of the transient temperature prediction model.

[0071] The present invention determines the simulation operation parameters of the simulated air conditioner under different target simulation external conditions. The acquisition of the simulation operation parameters is not interfered by external factors, which improves the data in the verification process and the universality of the data. The simulation operation parameters are input into the transient temperature prediction model to obtain multiple simulation predicted transient temperatures output by the transient temperature prediction model in the target time period, and the simulation predicted steady-state temperature is obtained according to the multiple simulation predicted transient temperatures. The simulation operation parameters of the simulated air conditioner are verified according to the simulation predicted steady-state temperature. By verifying the simulation operation parameters under the simulation external conditions by corresponding to the simulation operation parameters of different simulation external conditions, the transient temperature prediction model can be generalized to different working conditions, which improves the accuracy and reliability of the verification results.

[0072] In order to facilitate those skilled in the art to better understand the air conditioner calibration and verification method provided by the present disclosure, the relevant steps of the air conditioner calibration and verification method are described in detail below with examples.

[0073] In a possible embodiment, the simulation operation parameters include the simulated wind temperature and the simulated wind volume, see Figure 3 In step S11, determining the simulation operation parameters of the simulated air conditioner under different target simulation external conditions may include the following steps:

[0074] In step S21, any simulated air outlet of the simulated air conditioner is used as a target simulated air outlet.

[0075] Among them, there is a constraint relationship between the air volume and air temperature of different air outlets in different modes during the actual operation of the air conditioner. Therefore, in the simulation interface, any simulated air outlet of the simulated air conditioner is used as the target simulated air outlet, and the simulated air temperature and simulated air volume of the target simulated air outlet are used as the benchmark values ​​to determine the simulated air temperature and simulated air volume of other simulated air outlets of the simulated air conditioner.

[0076] In step S22, the simulated wind temperature and simulated wind volume of the target simulated air outlet are determined.

[0077] In step S23, the simulated air temperature and simulated air volume of all simulated air outlets on the simulated air conditioner are obtained according to the simulated air temperature, the simulated air volume, and preset constraint values ​​of the target simulated air outlet and other simulated air outlets on the simulated air conditioner.

[0078] Among them, the preset constraint value can be preset according to the relationship between the simulated wind temperature and the simulated wind volume of each simulated air outlet in different modes of the simulated air conditioner. The preset constraint values ​​of the simulated wind temperature and simulated air volume of the same simulated air outlet can be the same or different.

[0079] The simulated air temperature of all simulated air outlets on the simulated air conditioner is obtained according to the simulated air temperature and the preset constraint value between the target simulated air outlet and other simulated air outlets on the simulated air conditioner. The simulated air volume of all simulated air outlets on the simulated air conditioner is obtained according to the simulated air volume and the preset constraint value between the target simulated air outlet and other simulated air outlets on the simulated air conditioner.

[0080] For example, in the simulated air conditioner including three simulated air outlets, the preset constraint value between the target simulated air outlet and the first simulated air outlet is 1:2, and the preset constraint value between the target simulated air outlet and the second simulated air outlet is 1:1.5, that is, the simulated air temperature of the first simulated air outlet is twice the simulated air temperature of the target simulated air outlet, the simulated air volume of the first simulated air outlet is twice the simulated air volume of the target simulated air outlet, the simulated air temperature of the second simulated air outlet is 1.5 times the simulated air temperature of the target simulated air outlet, and the simulated air volume of the second simulated air outlet is 1.5 times the simulated air volume of the target simulated air outlet. For example, when the simulated air temperature of the target simulated air outlet is 10°C and the simulated air volume is 50 cmm, the simulated air temperature of the first simulated air outlet is 20°C and the simulated air volume is 100 cmm, and the simulated air temperature of the second simulated air outlet is 15°C and the simulated air volume is 75 cmm.

[0081] The present invention uses the simulated wind temperature and simulated air volume of any simulated air outlet in the simulated air conditioner as calibration values, and obtains the simulated wind temperature and simulated air volume of all simulated air outlets on the simulated air conditioner based on the simulated wind temperature, simulated air volume and preset constraint values ​​of the simulated air outlet and other simulated air outlets on the simulated air conditioner, thereby ensuring the data quality of the simulated wind temperature and simulated air volume.

[0082] In a possible embodiment, the simulated air conditioner is arranged on the simulated vehicle. Figure 4 In step S22, determining the simulated wind temperature and simulated wind volume of the target simulated air outlet may include the following steps:

[0083] In step S31, according to the preset mode air volume distribution table, the simulated air volume of the target simulated air outlet of the simulated air conditioner in the current mode is queried and obtained.

[0084] The preset mode air volume distribution table may be preset according to the correspondence between different modes of the simulated air conditioner and the simulated air volume, that is, the air volume distribution ratio of the simulated air conditioner for each mode.

[0085] In step S32, the simulated external environment temperature of the simulated vehicle, the simulated vehicle speed of the simulated vehicle, the simulated cross-sectional area of ​​the target simulated air outlet, and the simulated air outlet duct length are determined.

[0086] In step S33, the simulated air temperature of the target simulated air outlet is obtained according to the simulated air volume, the simulated cross-sectional area, the simulated air outlet duct length, the simulated external ambient temperature and the simulated vehicle speed.

[0087] Among them, for the simulated wind temperature, there is heat loss between the indoor unit of the simulated air conditioner and the simulated air outlet, which makes the simulated wind temperature at the indoor unit of the simulated air conditioner different from the simulated wind temperature at the simulated air outlet, so the wind temperature loss needs to be considered.

[0088] The simulated air volume and the simulated cross-sectional area are substituted into the first heat dissipation formula to obtain the simulated wind speed. The first heat dissipation formula is: V 风 =VOL / S 管道 , V 风 Characterizes the simulated wind speed, VOL characterizes the simulated wind volume, S 管道 Characterize the simulated cross-sectional area.

[0089] Substitute the simulated wind speed and the simulated air outlet duct length into the second heat dissipation formula to obtain the loss time. The second heat dissipation formula is: L represents the length of the simulated air outlet duct, T 风 Characterizes the duration of loss.

[0090] Substitute the loss time, simulated external ambient temperature and simulated vehicle speed into the third heat dissipation formula to obtain the simulated wind temperature. The third heat dissipation formula is dT 风={λ2+λ3·[sigmoid(λ4·V 车 )-0.5]·(T 风温 -T 外界 )·dt, λ2 represents the second weight parameter, λ3 represents the third weight parameter, sigmoid() represents the activation function, which is used to map the variable to between 0 and 1, λ4 represents the fourth weight parameter, V 车 Characterize the simulated vehicle speed, T 风温 Characterize the simulated wind temperature, T 外界 Characterizes the simulated external environment temperature.

[0091] The present invention calculates the simulated wind temperature of a target placed at an air outlet based on the heat dissipation law of physics, thereby improving the quality of data.

[0092] In a possible embodiment, the simulated air conditioner is set on the simulated vehicle, and the simulated external conditions include sunlight, the external temperature of the simulated vehicle, and the simulated speed of the simulated vehicle. The target simulated external conditions can be determined by:

[0093] According to the multivariate verification requirements, at least two of the sunlight, the outside temperature, and the simulated vehicle speed are adjusted through grid sampling to obtain the target simulated outside conditions.

[0094] Among them, sunlight, outside temperature and simulated vehicle speed respectively correspond to different preset value intervals, and the preset value intervals can be preset according to possible external conditions in real scenes.

[0095] For example, the preset value intervals corresponding to at least two of the sunlight, the outside temperature and the simulated vehicle speed are sampled by grid sampling, so as to adjust the simulated outside conditions, and the obtained target simulated outside conditions are simulated in accordance with the prediction of the transient temperature prediction model. Figure 5 As shown, the diversity of the data of the simulated external conditions is ensured, thereby improving the generalization of the transient temperature prediction model.

[0096] For example, when the preset value interval corresponding to sunlight is [0 light intensity, 1000 light intensity], the preset value interval corresponding to the outside temperature is [-20℃, 40℃], and the preset value interval corresponding to the simulated vehicle speed is [0m / s, 140m / s], [-20℃, 40℃] and [0m / s, 140m / s] are sampled through grid sampling, thereby changing the simulated external conditions in real time and obtaining the target simulated external conditions.

[0097] or,

[0098] According to the single variable verification requirements, one of the sunlight, outside temperature and simulated vehicle speed is adjusted through grid sampling to obtain the simulated external conditions.

[0099] For example, the preset value interval corresponding to one of sunlight, outside temperature and simulated vehicle speed is sampled by grid sampling, so as to adjust the simulated outside conditions, and the obtained target simulated outside conditions are simulated in accordance with the prediction of the transient temperature prediction model. Figure 6 As shown, the diversity of the data of the simulated external conditions is ensured, thereby improving the generalization of the transient temperature prediction model.

[0100] For example, when the preset value interval corresponding to sunlight is [0 light intensity, 1000 light intensity], the preset value interval corresponding to the outside temperature is [-20℃, 40℃], and the preset value interval corresponding to the simulated vehicle speed is [0m / s, 140m / s], [-20℃, 40℃] is sampled through grid sampling, thereby changing the simulated external conditions in real time to obtain the target simulated external conditions.

[0101] For example, see Figure 7 After determining the simulated wind temperature and simulated wind volume of the target air outlet, the java macro program of the software is automatically set so that the java macro program can obtain the simulated wind temperature and simulated wind volume of other simulated air outlets of the simulated air conditioner according to the simulated wind temperature and simulated wind volume of the target air outlet.

[0102] The present invention changes the simulated external conditions in real time by means of multi-variable combination or single variable change, thereby ensuring the diversity of data of the simulated external conditions and improving the generalization of the transient temperature prediction model.

[0103] In a possible embodiment, in step S14, verifying the calibration parameters of the simulated air conditioner according to the simulated predicted steady-state temperature may include the following steps:

[0104] Determine the temperature difference between the simulation predicted steady-state temperature and the simulation target steady-state temperature.

[0105] If the temperature difference is less than the temperature difference threshold, it is determined that the calibration parameters of the simulated air conditioner are qualified under the target simulated external conditions.

[0106] The temperature difference threshold can be preset according to the calibration verification accuracy requirement. In this disclosure, the temperature difference threshold is set to 0.5°C.

[0107] The present disclosure verifies the simulation operating parameters of the simulated air conditioner according to the temperature difference between the simulation predicted steady-state temperature and the simulation target steady-state temperature, thereby ensuring the reliability of the verification result.

[0108] In a possible embodiment, the air conditioner calibration verification method may further include the following steps:

[0109] If the temperature difference is greater than or equal to the temperature difference threshold, the simulation operation parameters are optimized by the gradient descent algorithm to obtain the optimized simulation operation parameters, and the optimized simulation operation parameters are input into the transient temperature prediction model as new simulation operation parameters until the obtained temperature difference is less than the temperature difference threshold.

[0110] For example, when the temperature difference is greater than or equal to the temperature difference threshold, the gradient descent method is used to quickly search for the appropriate simulated wind temperature and simulated wind volume, and the search results are highly accurate and reliable. When the simulated wind temperature or simulated wind volume of the simulated air conditioner changes, the effect is obvious. For example, when cooling, other conditions remain unchanged, only the simulated wind volume is increased or the simulated wind temperature is reduced, the cooling effect of the simulated air conditioner will definitely be enhanced, and the steady-state temperature will definitely be reduced.

[0111] In the case where the verification result is unqualified, the present invention optimizes the simulated wind temperature and simulated wind volume through a gradient descent algorithm to quickly determine the appropriate simulated wind temperature and simulated wind volume.

[0112] For example, see Figure 8 The air conditioner calibration verification method provided by the present disclosure may include the following steps:

[0113] In step S81, the current mode of the simulated air conditioner is determined, and the preset mode air volume distribution table is queried according to the current mode to obtain the simulated air volume of the target simulated air outlet of the simulated air conditioner, and step S82 is executed.

[0114] In step S82, the simulated air volumes of all simulated air outlets of the simulated air conditioner are obtained according to preset constraint values ​​and simulated air volumes of the target simulated air outlet and other simulated air outlets on the simulated air conditioner, and step S85 is executed.

[0115] In step S83, the simulated wind temperature of the target simulated air outlet is obtained according to the simulated wind volume, the simulated cross-sectional area, the simulated air outlet duct length, the external ambient temperature and the vehicle speed, and step S84 is executed.

[0116] In step S84, the simulated air volumes of all simulated outlets of the simulated air conditioner are obtained according to preset constraint values ​​and simulated air temperatures of the target simulated air outlet and other simulated air outlets on the simulated air conditioner, and step S85 is executed.

[0117] In step S85, the simulated wind temperature and simulated wind volume of all simulated air outlets on the simulated air conditioner are initialized, and step S86 is executed.

[0118] In step S86, the initialized simulated wind temperature and simulated wind volume are input into the transient temperature prediction model to obtain a plurality of simulated predicted transient temperatures, and step S87 is executed.

[0119] In step S87, a simulation predicted steady-state temperature is obtained according to a plurality of simulation predicted transient temperatures, and a temperature difference between the simulation predicted steady-state temperature and the simulation target steady-state temperature is determined, and step S88 is executed.

[0120] In step S88, it is determined whether the temperature difference is less than the temperature difference threshold. If the temperature difference is less than the temperature difference threshold, step S89 is executed, and if the temperature difference is greater than or equal to the temperature difference threshold, steps S810 and S812 are executed.

[0121] In step S89, it is determined that the simulated air conditioner calibration is qualified under the target simulated external conditions.

[0122] In step S810, the simulated air volume is optimized by a gradient descent algorithm to obtain an optimized simulated air temperature, and step S811 is executed.

[0123] In step S811, the optimized simulated wind temperature is used as the new simulated wind temperature, and step S86 is executed.

[0124] In step S812, the simulated air volume is optimized by a gradient descent algorithm to obtain the optimized simulated air volume, and step S813 is executed.

[0125] The present invention can automatically generate simulation data when there is insufficient data on external conditions, and assist the transient temperature prediction model in optimizing the operating parameters of the air conditioner, so that the transient temperature prediction model can achieve the condition that MAE (Mean Absolute Error, which refers to the mean absolute error between the true value and the predicted value) is less than the threshold value 100% in the simulation data, and can achieve the condition that MAE is less than the threshold value 86% in the actual road test.

[0126] In step S813, the optimized simulated air volume is used as the new simulated air volume, and step S86 is executed.

[0127] Based on the same inventive concept, the present disclosure provides an air conditioner calibration verification device, see Fig. 9 The air conditioner calibration verification device 900 includes a determination module 901 , a prediction module 902 , a control module 903 and a verification module 904 .

[0128] The determination module 901 is configured to determine the simulation operation parameters of the simulated air conditioner under different target simulated external conditions.

[0129] The prediction module 902 is configured to input the simulation operation parameters into the transient temperature prediction model respectively, and obtain multiple simulation predicted transient temperatures output by the transient temperature prediction model according to the simulation operation parameters within the target time period. The transient temperature prediction model is constructed based on the solid thermal conductivity law.

[0130] The control module 903 is configured to obtain the simulation predicted steady-state temperature of the simulation key point according to the multiple simulation predicted transient temperatures.

[0131] The verification module 904 is configured to verify the simulated operating parameters of the simulated air conditioner according to the simulated predicted steady-state temperature.

[0132] The present invention determines the simulation operation parameters of the simulated air conditioner under different target simulation external conditions. The acquisition of the simulation operation parameters is not interfered by external factors, which improves the data in the verification process and the universality of the data. The simulation operation parameters are input into the transient temperature prediction model to obtain multiple simulation predicted transient temperatures output by the transient temperature prediction model in the target time period, and the simulation predicted steady-state temperature is obtained according to the multiple simulation predicted transient temperatures. The simulation operation parameters of the simulated air conditioner are verified according to the simulation predicted steady-state temperature. By verifying the simulation operation parameters under the simulation external conditions by corresponding to the simulation operation parameters of different simulation external conditions, the transient temperature prediction model can be generalized to different working conditions, which improves the accuracy and reliability of the verification results.

[0133] Further, the simulation operation parameters include the simulated wind temperature and the simulated wind volume, and the determination module 901 is configured to use any simulated air outlet of the simulated air conditioner as the target simulated air outlet;

[0134] Determine the simulated wind temperature and simulated wind volume of the target simulated air outlet;

[0135] According to the simulated air temperature, the simulated air volume, and preset constraint values ​​of the target simulated air outlet and other simulated air outlets on the simulated air conditioner, the simulated air temperature and the simulated air volume of all the simulated air outlets on the simulated air conditioner are obtained.

[0136] Furthermore, the simulated air conditioner is arranged on the simulated vehicle, and the determination module 901 is configured to query and obtain the simulated air volume of the target simulated air outlet of the simulated air conditioner in the current mode according to the preset mode air volume distribution table;

[0137] Determining a simulated external ambient temperature of the simulated vehicle, a simulated vehicle speed of the simulated vehicle, a simulated cross-sectional area of ​​the target simulated air outlet, and a simulated air outlet duct length;

[0138] The simulated air temperature of the target simulated air outlet is obtained according to the simulated air volume, the simulated cross-sectional area, the simulated air outlet duct length, the simulated external ambient temperature and the simulated vehicle speed.

[0139] Further, the simulated air conditioner is set on the simulated vehicle, the simulated external conditions include sunlight, the external temperature of the simulated vehicle and the simulated vehicle speed of the simulated vehicle, and the determination module 901 is configured to adjust at least two of the sunlight, the external temperature and the simulated vehicle speed through grid sampling according to the multivariate verification requirements to obtain the target simulated external conditions;

[0140] or,

[0141] According to the single variable verification requirements, one of the sunlight, outside temperature and simulated vehicle speed is adjusted through grid sampling to obtain the simulated external conditions.

[0142] Further, the verification module 904 is configured to determine the temperature difference between the simulation predicted steady-state temperature and the simulation target steady-state temperature;

[0143] If the temperature difference is less than the temperature difference threshold, it is determined that the calibration parameters of the simulated air conditioner are qualified under the target simulated external conditions.

[0144] Furthermore, the air conditioning calibration and verification device 900 also includes an optimization module, which is configured to optimize the simulation operation parameters through a gradient descent algorithm if the temperature difference is greater than or equal to the temperature difference threshold, obtain optimized simulation operation parameters, and input the optimized simulation operation parameters as new simulation operation parameters into the transient temperature prediction model until the obtained temperature difference is less than the temperature difference threshold.

[0145] Regarding the air conditioning calibration and verification device 900 in the above embodiment, the specific manner in which each module performs operations has been described in detail in the embodiment of the method, and will not be elaborated here.

[0146] The present disclosure also provides a computer-readable storage medium having computer program instructions stored thereon, and the program instructions, when executed by a processor, implement the steps of the air conditioner calibration verification method provided by the present disclosure.

[0147] Based on the same inventive concept, the present disclosure also provides another air conditioning calibration device, including:

[0148] a first processor;

[0149] a first memory for storing first processor executable instructions;

[0150] Wherein, the first processor is configured as follows:

[0151] Determine the simulation operation parameters of the simulated air conditioner under different target simulation external conditions;

[0152] The simulation operation parameters are respectively input into the transient temperature prediction model to obtain a plurality of simulation predicted transient temperatures output by the transient temperature prediction model according to the simulation operation parameters within the target time period, and the transient temperature prediction model is constructed based on the solid thermal conductivity law;

[0153] The simulation predicted steady-state temperature of the simulation key point is obtained according to a plurality of simulation predicted transient temperatures;

[0154] Based on the simulation predicted steady-state temperature, the simulation operating parameters of the simulated air conditioner are verified.

[0155] The present invention determines the simulation operation parameters of the simulated air conditioner under different target simulation external conditions. The acquisition of the simulation operation parameters is not interfered by external factors, which improves the data in the verification process and the universality of the data. The simulation operation parameters are input into the transient temperature prediction model to obtain multiple simulation predicted transient temperatures output by the transient temperature prediction model in the target time period, and the simulation predicted steady-state temperature is obtained according to the multiple simulation predicted transient temperatures. The simulation operation parameters of the simulated air conditioner are verified according to the simulation predicted steady-state temperature. By verifying the simulation operation parameters under the simulation external conditions by corresponding to the simulation operation parameters of different simulation external conditions, the transient temperature prediction model can be generalized to different working conditions, which improves the accuracy and reliability of the verification results.

[0156] Fig.10 1 is a block diagram of an air conditioner calibration verification device 1000 according to an exemplary embodiment. For example, the air conditioner calibration verification device 1000 may be a mobile phone, a computer, a tablet device, a personal digital assistant, etc.

[0157] Reference Fig.10 The air conditioner calibration and verification device 1000 may include one or more of the following components: a processing component 1002 , a first memory 1004 , a first power supply component 1006 , a multimedia component 1008 , an audio component 1010 , a first input / output interface 1012 , a sensor component 1014 , and a communication component 1016 .

[0158] The processing component 1002 generally controls the overall operation of the air conditioning calibration verification device 1000, such as operations associated with display, phone calls, data communications, camera operations, and recording operations. The processing component 1002 may include one or more first processors 1020 to execute instructions to complete all or part of the steps of the above-mentioned air conditioning calibration verification method. In addition, the processing component 1002 may include one or more modules to facilitate the interaction between the processing component 1002 and other components. For example, the processing component 1002 may include a multimedia module to facilitate the interaction between the multimedia component 1008 and the processing component 1002.

[0159] The first memory 1004 is configured to store various types of data to support the operation of the air conditioner calibration verification device 1000. Examples of such data include instructions for any application or method operating on the air conditioner calibration verification device 1000, simulation operation data, different target simulation external conditions, etc. The first memory 1004 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disk.

[0160] The first power supply component 1006 provides power to various components of the air conditioning calibration verification device 1000. The first power supply component 1006 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power to the air conditioning calibration verification device 1000.

[0161] The multimedia component 1008 includes a screen that provides an output interface between the air conditioning calibration verification device 1000 and the user. In some embodiments, the screen may include a liquid crystal display (LCD) and a touch panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive input signals from the user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the boundaries of the touch or slide action, but also detect the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia component 1008 includes a front camera and / or a rear camera. When the air conditioning calibration verification device 1000 is in an operating mode, such as a shooting mode or a video mode, the front camera and / or the rear camera may receive external multimedia data. Each front camera and rear camera may be a fixed optical lens system or have a focal length and optical zoom capability.

[0162] The audio component 1010 is configured to output and / or input audio signals. For example, the audio component 1010 includes a microphone (MIC), and when the air conditioning calibration verification device 1000 is in an operation mode, such as a call mode, a recording mode, and a speech recognition mode, the microphone is configured to receive an external audio signal. The received audio signal can be further stored in the first memory 1004 or sent via the communication component 1016. In some embodiments, the audio component 1010 also includes a speaker for outputting audio signals.

[0163] The first input / output interface 1012 provides an interface between the processing component 1002 and a peripheral interface module, which may be a keyboard, a click wheel, buttons, etc. These buttons may include but are not limited to: a home button, a volume button, a start button, and a lock button.

[0164] The sensor assembly 1014 includes one or more sensors for providing various aspects of status evaluation for the air conditioning calibration verification device 1000. For example, the sensor assembly 1014 can detect the open / closed state of the air conditioning calibration verification device 1000, the relative positioning of the components, such as the display and keypad of the air conditioning calibration verification device 1000, and the sensor assembly 1014 can also detect the position change of the air conditioning calibration verification device 1000 or a component of the air conditioning calibration verification device 1000, the presence or absence of contact between the user and the air conditioning calibration verification device 1000, the orientation or acceleration / deceleration of the air conditioning calibration verification device 1000, and the temperature change of the air conditioning calibration verification device 1000. The sensor assembly 1014 may include a proximity sensor configured to detect the presence of a nearby object without any physical contact. The sensor assembly 1014 may also include an optical sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 1014 may also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.

[0165] The communication component 1016 is configured to facilitate wired or wireless communication between the air conditioning calibration and verification device 1000 and other devices. The air conditioning calibration and verification device 1000 can access a wireless network based on a communication standard, such as WiFi, 2G or 3G, or a combination thereof. In an exemplary embodiment, the communication component 1016 receives a broadcast signal or broadcast-related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 1016 also includes a near field communication (NFC) module to facilitate short-range communication. For example, the NFC module can be implemented based on radio frequency identification (RFID) technology, infrared data association (IrDA) technology, ultra-wideband (UWB) technology, Bluetooth (BT) technology and other technologies.

[0166] In an exemplary embodiment, the air conditioner calibration and verification device 1000 can be implemented by one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors or other electronic components to execute the above-mentioned air conditioner calibration and verification method.

[0167] In an exemplary embodiment, a non-transitory computer-readable storage medium including instructions is also provided, such as a first memory 1004 including instructions, and the instructions can be executed by the first processor 1020 of the air conditioner calibration verification device 1000 to complete the air conditioner calibration verification method. For example, the non-transitory computer-readable storage medium can be a ROM, a random access memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, etc.

[0168] Based on the same inventive concept, the present disclosure also provides a chip, including a second processor and an interface; the second processor is used to read instructions to execute the above-mentioned air conditioner calibration verification method.

[0169] The present invention determines the simulation operation parameters of the simulated air conditioner under different target simulation external conditions. The acquisition of the simulation operation parameters is not interfered by external factors, which improves the data in the verification process and the universality of the data. The simulation operation parameters are input into the transient temperature prediction model to obtain multiple simulation predicted transient temperatures output by the transient temperature prediction model in the target time period, and the simulation predicted steady-state temperature is obtained according to the multiple simulation predicted transient temperatures. The simulation operation parameters of the simulated air conditioner are verified according to the simulation predicted steady-state temperature. By verifying the simulation operation parameters under the simulation external conditions by corresponding to the simulation operation parameters of different simulation external conditions, the transient temperature prediction model can be generalized to different working conditions, which improves the accuracy and reliability of the verification results.

[0170] The chip can be an IC (Integrated Circuit) or a collection of multiple ICs; the chip can include but is not limited to the following types: GPU (Graphics Processing Unit), CPU (Central Processing Unit), FPGA (Field Programmable Gate Array), DSP (Digital Signal Processor), ASIC (Application Specific Integrated Circuit), SOC (System on Chip, SoC), etc.

[0171] The above-mentioned integrated circuit or chip can be used to execute executable instructions (or codes) to implement the above-mentioned air conditioning calibration and verification method. The executable instructions can be stored in the integrated circuit or chip, or can be obtained from other devices or equipment. For example, the integrated circuit or chip includes a second processor, a second memory, and an interface for communicating with other devices. The executable instructions can be stored in the second memory, and when the executable instructions are executed by the processor, the above-mentioned air conditioning calibration and verification method is implemented; or, the integrated circuit or chip can receive the executable instructions through the interface and transmit them to the second processor for execution, so as to implement the above-mentioned air conditioning calibration and verification method.

[0172] In another exemplary embodiment, a computer program product is also provided. The computer program product includes a computer program that can be executed by a programmable device. The computer program has a code portion for executing the above-mentioned air conditioning calibration verification method when executed by the programmable device.

[0173] Those skilled in the art will readily appreciate other embodiments of the present disclosure after considering the specification and practicing the present disclosure. The present disclosure is intended to cover any variations, uses or adaptations of the present disclosure that follow the general principles of the present disclosure and include common knowledge or customary techniques in the art that are not disclosed in the present disclosure. The description and examples are to be considered as exemplary only, and the true scope and spirit of the present disclosure are indicated by the following claims.

[0174] It should be understood that the present disclosure is not limited to the exact structures that have been described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.

Claims

1. An air conditioning calibration verification method, characterized in that: include: Determine the simulation operation parameters of the simulated air conditioner under different target simulation external conditions; Inputting the simulation operation parameters into a transient temperature prediction model respectively, obtaining a plurality of simulation predicted transient temperatures output by the transient temperature prediction model according to the simulation operation parameters within a target time period, wherein the transient temperature prediction model is constructed based on the solid thermal conductivity law; Obtaining a simulation predicted steady-state temperature of a simulation key point according to a plurality of the simulation predicted transient temperatures; The simulated operating parameters of the simulated air conditioner are verified according to the simulated predicted steady-state temperature.

2. The air conditioning calibration verification method according to claim 1, characterized in that: The simulation operation parameters include the simulation wind temperature and the simulation wind volume, and the determination of the simulation operation parameters of the simulation air conditioner under different target simulation external conditions includes: Taking any simulated air outlet of the simulated air conditioner as a target simulated air outlet; Determine the simulated wind temperature and simulated wind volume of the target simulated air outlet; The simulated wind temperature and simulated wind volume of all the simulated air outlets on the simulated air conditioner are obtained according to the simulated wind temperature, the simulated wind volume, and preset constraint values ​​of the target simulated air outlet and other simulated air outlets on the simulated air conditioner.

3. The air conditioning calibration verification method according to claim 2, characterized in that: The simulated air conditioner is arranged on the simulated vehicle, and the step of determining the simulated wind temperature and simulated wind volume of the target simulated air outlet comprises: According to the preset mode air volume distribution table, query and obtain the simulated air volume of the target simulated air outlet of the simulated air conditioner in the current mode; Determining a simulated external ambient temperature of the simulated vehicle, a simulated vehicle speed of the simulated vehicle, a simulated cross-sectional area of ​​the target simulated air outlet, and a simulated air outlet duct length; The simulated air temperature of the target simulated air outlet is obtained according to the simulated air volume, the simulated cross-sectional area, the simulated air outlet duct length, the simulated external ambient temperature and the simulated vehicle speed.

4. The air conditioning calibration verification method according to claim 1 or 2, characterized in that: The simulated air conditioner is arranged on the simulated vehicle, and the simulated external conditions include sunlight, the external temperature of the simulated vehicle and the simulated speed of the simulated vehicle. The target simulation external conditions are determined in the following manner: According to the multivariate verification requirement, at least two of the sunlight, the outside temperature and the simulated vehicle speed are adjusted by grid sampling to obtain the target simulated outside condition; or, According to the single variable verification requirement, one of the sunlight, the outside temperature and the simulated vehicle speed is adjusted through grid sampling to obtain the simulated outside condition.

5. The air conditioning calibration verification method according to claim 1 or 2, characterized in that: The verifying of calibration parameters of the simulated air conditioner according to the simulated predicted steady-state temperature includes: Determining the temperature difference between the simulation predicted steady-state temperature and the simulation target steady-state temperature; If the temperature difference is less than the temperature difference threshold, it is determined that the calibration parameters of the simulated air conditioner are qualified under the target simulated external conditions.

6. The air conditioning calibration verification method according to claim 5, characterized in that: The air conditioner calibration verification method also includes: If the temperature difference is greater than or equal to the temperature difference threshold, the simulation operation parameters are optimized by a gradient descent algorithm to obtain optimized simulation operation parameters, and the optimized simulation operation parameters are input into the transient temperature prediction model as new simulation operation parameters until the obtained temperature difference is less than the temperature difference threshold.

7. An air conditioning calibration verification device, characterized in that: include: A determination module is configured to determine simulation operation parameters of the simulated air conditioner under different target simulation external conditions; A prediction module is configured to input the simulation operation parameters into a transient temperature prediction model respectively, and obtain a plurality of simulation predicted transient temperatures output by the transient temperature prediction model according to the simulation operation parameters within a target time period, wherein the transient temperature prediction model is constructed based on the solid thermal conductivity law; A control module is configured to obtain a simulation predicted steady-state temperature of the simulation key point according to a plurality of the simulation predicted transient temperatures; The verification module is configured to verify the simulation operation parameters of the simulated air conditioner according to the simulated predicted steady-state temperature.

8. An air conditioning calibration verification device, characterized in that: include: a first processor; a first memory for storing first processor executable instructions; Wherein, the first processor is configured as follows: Determine the simulation operation parameters of the simulated air conditioner under different target simulation external conditions; Inputting the simulation operation parameters into a transient temperature prediction model respectively, obtaining a plurality of simulation predicted transient temperatures output by the transient temperature prediction model according to the simulation operation parameters within a target time period, wherein the transient temperature prediction model is constructed based on the solid thermal conductivity law; Obtaining the simulation predicted steady-state temperature of the simulation key point according to the plurality of simulation predicted transient temperatures; The simulated operating parameters of the simulated air conditioner are verified based on the simulated predicted steady-state temperature.

9. A computer-readable storage medium having computer program instructions stored thereon, characterized in that: When the program instructions are executed by a processor, the steps of the method described in any one of claims 1 to 7 are implemented.

10. A chip, characterized in that: The method comprises a second processor and an interface; the second processor is used to read instructions to execute the method according to any one of claims 1 to 7.

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