Power control cabinet temperature control equipment commercial inspection system and method

Abstract

This invention discloses a commercial inspection system and method for temperature control equipment in power control cabinets, relating to the field of commercial inspection technology for temperature control equipment in cabinets. The system includes: a display and control device for sending detection commands to the temperature control equipment under test, including cooling and heating commands; a commercial inspection platform for collecting electrical parameters and multi-dimensional temperature data of the temperature control equipment after executing the detection commands; and an AI judgment module for determining whether the temperature control equipment passes the commercial inspection based on the electrical parameters and multi-dimensional temperature data. This invention, through the collaborative work of the commercial inspection platform, display and control device, and AI judgment module, achieves an automated commercial inspection process for temperature control equipment, eliminating the need for manual data collection and input, thus improving inspection efficiency. Furthermore, by using power correction, it achieves accurate commercial inspection in non-constant temperature environments, eliminating the need for a constant temperature chamber and effectively reducing inspection costs.

Description

Technical Field

[0001] This invention relates to the field of commercial inspection technology for cabinet temperature control, specifically to a commercial inspection system and method for temperature control equipment in power control cabinets. Background Technology

[0002] As a core component ensuring the stable operation of power control cabinets, temperature control equipment for power control cabinets must undergo rigorous commercial inspection (factory inspection) before leaving the factory to ensure that the equipment's performance meets standards and actual usage requirements. Currently, the commercial inspection of temperature control equipment for power control cabinets mainly relies on manual operation, which has the following drawbacks:

[0003] 1. Manual inspection is inefficient, greatly affected by the worker's skill level and technical expertise. The inspection process is cumbersome and cannot meet the needs of production line operations, thus restricting capacity improvement.

[0004] Second, routine commercial inspection requires placing temperature control equipment in a specific constant temperature room for testing. The initial construction cost and subsequent operation and maintenance cost of the constant temperature room are high, which significantly increases the commercial inspection cost for enterprises. Summary of the Invention

[0005] In view of the deficiencies in the existing technology, the technical problem to be solved by this application is: how to improve the efficiency of commodity inspection while reducing commodity inspection costs.

[0006] To achieve the above objectives, in a first aspect, embodiments of this application provide a commercial inspection system for temperature control equipment in a power control cabinet, the system comprising:

[0007] A display and control device, which is used to send a detection command to the temperature control device to be tested, the detection command including a cooling command and a heating command;

[0008] The commodity inspection platform is used to collect electrical parameters and multi-dimensional temperature data of the temperature control equipment under test after the execution of the test command;

[0009] The AI ​​judgment module determines whether the temperature control equipment under test is qualified based on electrical parameters and multi-dimensional temperature data.

[0010] In conjunction with the first aspect, in one embodiment, the electrical parameters include current, voltage, and power;

[0011] The multi-dimensional temperature data includes indoor return air temperature, indoor supply air temperature, outdoor return air temperature, and outdoor supply air temperature.

[0012] In conjunction with the first aspect, in one embodiment, the commodity inspection platform includes equipment fixtures, a power supply module, a communication interface module, and a multi-dimensional temperature sensing module;

[0013] The equipment clamp is used to hold and fix the temperature control equipment to be tested;

[0014] The communication interface module is used to establish communication with the temperature control device to be tested.

[0015] The power supply module is used to supply power to the temperature control device under test and to collect voltage, current and power parameters;

[0016] The multi-dimensional temperature sensing module is used to collect indoor return air temperature, indoor outlet air temperature, outdoor return air temperature, and outdoor outlet air temperature.

[0017] In conjunction with the first aspect, in one embodiment, the communication interface module includes an RS485 interface submodule and a network port submodule.

[0018] In conjunction with the first aspect, in one embodiment, the AI ​​determination module includes a data preprocessing unit, a prediction unit, and an AI determination unit;

[0019] The data preprocessing unit is used to preprocess the collected electrical parameters and multi-dimensional temperature data, and to establish linear regression equations for the corresponding electrical parameters and multi-dimensional temperature data based on the preprocessed data.

[0020] The prediction unit is used to predict the pass / fail status of the temperature control equipment to be tested based on the linear regression equation.

[0021] The AI ​​judgment unit is used to determine whether the temperature control equipment under test is qualified based on the preprocessed data.

[0022] Secondly, embodiments of this application provide a commercial inspection method for temperature control equipment in a power control cabinet, the method comprising the following steps:

[0023] S1. Preprocess the collected electrical parameters and multi-dimensional temperature data, and establish linear regression equations for the corresponding electrical parameters and multi-dimensional temperature data based on the preprocessed data.

[0024] S2. After the display and control device sends a cooling command to the temperature control equipment under test, it determines whether the trends of power, indoor air outlet temperature and outdoor air outlet temperature over time are all in a stable state based on the linear regression equation. If so, proceed to S3; otherwise, directly determine that the commercial inspection is unqualified.

[0025] S3. Determine if the current power is within the preset threshold range. If yes, proceed to S4; otherwise, directly determine that the commodity inspection is unqualified.

[0026] S4. Determine whether the temperature difference between the indoor return air temperature and the indoor supply air temperature exceeds the preset threshold. If yes, proceed to S5; otherwise, directly determine that the commodity inspection is unqualified.

[0027] S5. Determine whether the temperature difference between the outdoor return air temperature and the outdoor supply air temperature exceeds the preset threshold. If yes, proceed to S6; otherwise, directly determine that the commodity inspection is unqualified.

[0028] S6. When the temperature inside the temperature control device to be tested drops to 5℃, the temperature control device to be tested executes the heating command.

[0029] S7. Determine whether the trends of power, indoor air outlet temperature and outdoor air outlet temperature over time are all in a stable state based on the linear regression equation. If so, proceed to S8; otherwise, directly determine that the commodity inspection is unqualified.

[0030] S8. Determine whether the current power is within the preset threshold range. If yes, proceed to S9; otherwise, directly determine that the commodity inspection is unqualified.

[0031] S9. Determine whether the temperature difference between the indoor return air temperature and the indoor supply air temperature exceeds the preset threshold. If so, proceed to S10; otherwise, directly determine that the commodity inspection is unqualified.

[0032] S10. After the temperature inside the temperature control device to be tested equals the indoor return air temperature, cut off the power 10 seconds later to complete the commercial inspection.

[0033] In conjunction with the second aspect, in one embodiment, the preprocessing methods for the collected electrical parameters and multi-dimensional temperature data include:

[0034] Each set of electrical parameters and multi-dimensional temperature data collected every 100ms is considered a data set. After acquiring 10 sets of data consecutively, the entire data set containing the maximum and minimum values ​​is removed, and the average value of the remaining 8 sets of data is used as the preprocessed data.

[0035] In conjunction with the second aspect, in one embodiment, the logic for determining the stable state includes:

[0036] Calculate the slopes of the trends of power, indoor air outlet temperature, and outdoor air outlet temperature over time, respectively, and use them as the current regression slope;

[0037] Determine whether the current regression slope and the corresponding linear regression equation's regression slope are within a set threshold. If so, determine that it is in a stable state; otherwise, directly determine that the commodity inspection is unqualified.

[0038] In conjunction with the second aspect, in one embodiment, when the temperature control device under test executes a cooling command, the power is corrected, and the correction calculation formula is as follows:

[0039] P=P MC +P INFAN +P OUTFAN ;

[0040] In the formula, P is the total power, P INFAN P is the input power of the evaporator fan.OUTFAN P is the input power of the condenser fan. MC The formula for calculating the compressor input power is:

[0041] P MC =C1+C2×Te+C3×Tc+C4×f+C5×Te×Te+C6×Tc×Tc+C7×f×f+C8×Te×Tc+C9×Te×f+C1 0×Tc×f+C11×Te×Te×f+C12×Te×f×f+C13×Tc×Tc×f+C14×Tc×f×f+C15×Te×Tc×f;

[0042] In the formula, Te is the evaporation temperature, Tc is the condensation temperature, f is the compressor frequency, and C1, C2...C15 are all calibration coefficients.

[0043] Compared with the prior art, the advantages of this application are:

[0044] By working together with the commodity inspection platform, display and control device and AI judgment module, the commodity inspection process of temperature control equipment is automated, eliminating the need for manual intervention in data collection and entry, thus improving commodity inspection efficiency. Furthermore, through power correction, accurate commodity inspection can be achieved in non-constant temperature environments, eliminating the need for a constant temperature room and effectively reducing commodity inspection costs. Attached Figure Description

[0045] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0046] Figure 1 This is a schematic diagram of the method flow in the embodiments of this application. Detailed Implementation

[0047] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0048] The flowchart shown in the attached diagram is for illustrative purposes only and does not necessarily include all content and operations / steps, nor does it necessarily have to be performed in the order described. For example, some operations / steps can be broken down, combined, or partially merged, so the actual execution order may change depending on the actual situation.

[0049] To make the objectives, technical solutions, and advantages of this application clearer, the embodiments of this application will be described in further detail below with reference to the accompanying drawings.

[0050] In a first aspect, embodiments of this application provide a commercial inspection system for temperature control equipment in a power control cabinet, the system comprising:

[0051] The display and control device is used to send detection commands (such as cooling commands and heating commands) to the temperature control equipment to be tested.

[0052] The commodity inspection platform is used to collect electrical parameters (current, voltage, power) and multi-dimensional temperature data (indoor return air temperature, indoor outlet air temperature, outdoor return air temperature, and outdoor outlet air temperature) of the temperature control equipment to be tested after the test command is executed.

[0053] The AI ​​judgment module determines whether the temperature control equipment under test is qualified based on electrical parameters and multi-dimensional temperature data.

[0054] In one embodiment, the above-mentioned commodity inspection platform includes equipment fixtures, a power supply module, a communication interface module, and a multi-dimensional temperature sensing module;

[0055] Equipment clamps are used to hold and fix the temperature control equipment to be tested;

[0056] The communication interface module is used to establish communication with the temperature control device under test;

[0057] The power supply module is used to supply power to the temperature control device under test and to collect voltage, current, and power parameters;

[0058] The multi-dimensional temperature sensing module is used to collect indoor return air temperature (temperature at the indoor side return air), indoor outlet air temperature (temperature at the indoor side outlet air), outdoor return air temperature (temperature at the outdoor side return air), and outdoor outlet air temperature (temperature at the outdoor side outlet air).

[0059] Furthermore, the aforementioned communication interface module includes an RS485 interface submodule and a network port submodule. When the temperature control device under test supports RS485 communication, the RS485 interface of the temperature control device under test establishes communication with the commercial inspection platform through the RS485 interface submodule; similarly, when the temperature control device under test supports network port communication, the network port interface of the temperature control device under test establishes communication with the commercial inspection platform through the network port submodule.

[0060] This combination of RS485 interface submodule and network port submodule allows for compatibility with temperature control devices of different interface types, eliminating the need for dedicated testing devices for different interface devices and further reducing testing costs.

[0061] In one embodiment, the AI ​​determination module includes a data preprocessing unit, a prediction unit, and an AI determination unit.

[0062] The data preprocessing unit is used to preprocess the collected electrical parameters and multi-dimensional temperature data, and to establish linear regression equations for the corresponding electrical parameters and multi-dimensional temperature data based on the preprocessed data.

[0063] The prediction unit is used to predict the pass / fail status of the temperature control equipment under test based on the linear regression equation;

[0064] The AI ​​judgment unit is used to determine whether the temperature control equipment under test is qualified based on the pre-processed data.

[0065] Furthermore, the process of establishing the linear regression equations for the corresponding electrical parameters and multi-dimensional temperature data includes:

[0066] Each 100ms / time of electrical parameter and multi-dimensional temperature data is recorded as a set of data. After obtaining 10 sets of data in a row, the entire set of data containing the maximum and minimum values ​​is removed, and the average value of the remaining 8 sets of data is used as the preprocessed data (electrical parameter and multi-dimensional temperature data).

[0067] The moving average method (with a window value of 6) was used to process the electrical parameters and multi-dimensional temperature data respectively, and the processed moving average value was obtained.

[0068] Using the moving average as the dependent variable and the time index as the independent variable, a linear regression equation is fitted to obtain the linear regression equation for the corresponding electrical parameters and multi-dimensional temperature data.

[0069] This eliminates the impact of data fluctuations, accurately determines parameter stability, and avoids wasting detection resources.

[0070] Furthermore, for the above linear regression equation, the regression slope is used to determine the trend of change, and the coefficient of determination is used to determine the reliability of the trend. A regression slope > 0 indicates an upward trend; a regression slope < 0 indicates a downward trend. The closer the coefficient of determination is to 1, the higher the reliability of the trend; conversely, the closer it is to 1, the lower the reliability.

[0071] Secondly, embodiments of this application provide a method for inspecting temperature control equipment in a power control cabinet, used to implement the method provided in the first aspect. (Refer to...) Figure 1 The method includes the following steps:

[0072] S1. Preprocess the collected electrical parameters and multi-dimensional temperature data, and establish linear regression equations for the corresponding electrical parameters and multi-dimensional temperature data based on the preprocessed data.

[0073] S2. After the display and control device sends a cooling command to the temperature control equipment under test, it determines whether the trends of power, indoor air outlet temperature and outdoor air outlet temperature over time are all in a stable state based on the linear regression equation. If so, proceed to S3; otherwise, directly determine that the commercial inspection is unqualified.

[0074] S3. Determine if the current power is within the preset threshold range. If yes, proceed to S4; otherwise, directly determine that the commodity inspection is unqualified.

[0075] S4. Determine whether the temperature difference between the indoor return air temperature and the indoor supply air temperature (i.e., indoor return air temperature - indoor supply air temperature) exceeds the preset threshold (3℃). If yes, proceed to S5; otherwise, directly determine that the commodity inspection is unqualified.

[0076] S5. Determine whether the temperature difference between the outdoor return air temperature and the outdoor supply air temperature (i.e., outdoor supply air temperature - outdoor return air temperature) exceeds the preset threshold (3℃). If yes, proceed to S6; otherwise, directly determine that the commodity inspection is unqualified.

[0077] S6. When the temperature inside the temperature control device to be tested drops to 5℃, the temperature control device to be tested executes the heating command.

[0078] S7. Determine whether the trends of power, indoor air outlet temperature and outdoor air outlet temperature over time are all in a stable state based on the linear regression equation. If so, proceed to S8; otherwise, directly determine that the commodity inspection is unqualified.

[0079] S8. Determine whether the current power is within the preset threshold (5% of the rated power). If yes, proceed to S9; otherwise, directly determine that the commodity inspection is unqualified.

[0080] S9. Determine whether the temperature difference between the indoor return air temperature and the indoor supply air temperature (i.e., indoor return air temperature - indoor supply air temperature) exceeds the preset threshold (3℃). If yes, proceed to S10; otherwise, directly determine that the commodity inspection is unqualified.

[0081] S10. After the temperature inside the temperature control device to be tested equals the indoor return air temperature, cut off the power 10 seconds later to complete the commercial inspection.

[0082] Furthermore, rectification orders were issued for the temperature control equipment that failed the commodity inspection.

[0083] Furthermore, when the temperature control device under test executes the cooling command, the power is corrected. The correction formula is as follows:

[0084] P=P MC +PINFAN +P OUTFAN ;

[0085] In the formula, P is the total power, P INFAN P is the input power of the evaporator fan. OUTFAN P is the input power of the condenser fan. MC The formula for calculating the compressor input power is:

[0086] P MC =C1+C2×Te+C3×Tc+C4×f+C5×Te×Te+C6×Tc×Tc+C7×f×f+C8×Te×Tc+C9×Te×f+C1 0×Tc×f+C11×Te×Te×f+C12×Te×f×f+C13×Tc×Tc×f+C14×Tc×f×f+C15×Te×Tc×f;

[0087] In the formula, Te is the evaporation temperature, Tc is the condensation temperature, f is the compressor frequency, and C1, C2...C15 are all calibration coefficients.

[0088] In one embodiment, the judgment logic for the above-mentioned stable state (i.e., qualified prediction) includes:

[0089] Calculate the slopes of the trends of power, indoor air outlet temperature, and outdoor air outlet temperature over time, respectively, and use them as the current regression slope;

[0090] Determine whether the current regression slope and the corresponding linear regression equation's regression slope are within a set threshold (e.g., the absolute difference between the current regression slope and the regression slope is ≤0.5). If so, determine that it is in a stable state; otherwise, directly determine that the commodity inspection is unqualified.

[0091] This enables the early identification of defective products, improving testing efficiency while saving testing resources.

[0092] When using this application for commercial inspection testing of temperature control equipment, the commercial inspection platform is set to 8 units, and the actual average commercial inspection output speed is 11.25s / unit. Compared with the current average manual commercial inspection output speed of 144s / unit, the time saving ratio is about 92.2%, the efficiency is improved by about 1180%, and the manual input for single-unit testing is reduced by more than 80%.

[0093] It should be noted that the sequence numbers of the embodiments in this application are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0094] The terms "comprising" and "having," and any variations thereof, in the specification, claims, and accompanying drawings of this application are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or apparatus that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to such process, method, product, or apparatus. The terms "first," "second," and "third," etc., are used to distinguish different objects, etc., and do not indicate a sequence, nor do they limit "first," "second," and "third" to different types.

[0095] In the description of the embodiments of this application, terms such as "exemplary," "for example," or "for instance" are used to indicate examples, illustrations, or explanations. Any embodiment or design described as "exemplary," "for example," or "for instance" in the embodiments of this application should not be construed as being more preferred or advantageous than other embodiments or designs. Specifically, the use of terms such as "exemplary," "for example," or "for instance" is intended to present the relevant concepts in a concrete manner.

[0096] In the description of the embodiments of this application, unless otherwise stated, " / " means "or". For example, A / B can mean A or B. The "and / or" in the text is merely a description of the relationship between related objects, indicating that there can be three relationships. For example, A and / or B can mean: A exists alone, A and B exist simultaneously, and B exists alone. In addition, in the description of the embodiments of this application, "multiple" means two or more.

[0097] In some processes described in the embodiments of this application, multiple operations or steps are included in a specific order. However, it should be understood that these operations or steps may not be executed in the order they appear in the embodiments of this application, or they may be executed in parallel. The sequence number of the operation is only used to distinguish different operations, and the sequence number itself does not represent any execution order. In addition, these processes may include more or fewer operations, and these operations or steps may be executed sequentially or in parallel, and these operations or steps may be combined.

[0098] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) as described above, and includes several instructions to cause a terminal device to execute the methods described in the various embodiments of this application.

[0099] The above are merely specific embodiments of this application, but the protection scope of this application is not limited thereto. Any person skilled in the art can easily conceive of various equivalent modifications or substitutions within the technical scope disclosed in this application, and these modifications or substitutions should all be covered within the protection scope of this application. Therefore, the protection scope of this application should be determined by the scope of the claims.

Claims

1. A commercial inspection system for temperature control equipment in a power control cabinet, characterized in that, The system includes: A display and control device, which is used to send a detection command to the temperature control device to be tested, the detection command including a cooling command and a heating command; The commodity inspection platform is used to collect electrical parameters and multi-dimensional temperature data of the temperature control equipment under test after the execution of the test command; The AI ​​judgment module determines whether the temperature control equipment under test is qualified based on electrical parameters and multi-dimensional temperature data.

2. The inspection system for temperature control equipment in a power control cabinet according to claim 1, characterized in that, The electrical parameters include current, voltage, and power; The multi-dimensional temperature data includes indoor return air temperature, indoor supply air temperature, outdoor return air temperature, and outdoor supply air temperature.

3. The inspection system for temperature control equipment in a power control cabinet according to claim 1, characterized in that, The commodity inspection platform includes equipment fixtures, a power supply module, a communication interface module, and a multi-dimensional temperature sensing module; The equipment clamp is used to hold and fix the temperature control equipment to be tested; The communication interface module is used to establish communication with the temperature control device to be tested. The power supply module is used to supply power to the temperature control device under test and to collect voltage, current and power parameters; The multi-dimensional temperature sensing module is used to collect indoor return air temperature, indoor outlet air temperature, outdoor return air temperature, and outdoor outlet air temperature.

4. The inspection system for temperature control equipment in a power control cabinet according to claim 3, characterized in that, The communication interface module includes an RS485 interface submodule and a network port submodule.

5. The inspection system for temperature control equipment in a power control cabinet according to claim 1, characterized in that, The AI ​​judgment module includes a data preprocessing unit, a prediction unit, and an AI judgment unit. The data preprocessing unit is used to preprocess the collected electrical parameters and multi-dimensional temperature data, and to establish linear regression equations for the corresponding electrical parameters and multi-dimensional temperature data based on the preprocessed data. The prediction unit is used to predict the pass / fail status of the temperature control equipment to be tested based on the linear regression equation. The AI ​​judgment unit is used to determine whether the temperature control equipment under test is qualified based on the preprocessed data.

6. A method for inspecting temperature control equipment in a power control cabinet, applied to the inspection system for temperature control equipment in a power control cabinet as described in any one of claims 1-5, characterized in that, The method includes the following steps: S1. Preprocess the collected electrical parameters and multi-dimensional temperature data, and establish linear regression equations for the corresponding electrical parameters and multi-dimensional temperature data based on the preprocessed data. S2. After the display and control device sends a cooling command to the temperature control equipment under test, it determines whether the trends of power, indoor air outlet temperature and outdoor air outlet temperature over time are all in a stable state based on the linear regression equation. If so, proceed to S3; otherwise, directly determine that the commercial inspection is unqualified. S3. Determine if the current power is within the preset threshold range. If yes, proceed to S4; otherwise, directly determine that the commodity inspection is unqualified. S4. Determine whether the temperature difference between the indoor return air temperature and the indoor supply air temperature exceeds the preset threshold. If yes, proceed to S5; otherwise, directly determine that the commodity inspection is unqualified. S5. Determine whether the temperature difference between the outdoor return air temperature and the outdoor supply air temperature exceeds the preset threshold. If yes, proceed to S6; otherwise, directly determine that the commodity inspection is unqualified. S6. When the temperature inside the temperature control device to be tested drops to 5℃, the temperature control device to be tested executes the heating command. S7. Determine whether the trends of power, indoor air outlet temperature and outdoor air outlet temperature over time are all in a stable state based on the linear regression equation. If so, proceed to S8; otherwise, directly determine that the commodity inspection is unqualified. S8. Determine whether the current power is within the preset threshold range. If yes, proceed to S9; otherwise, directly determine that the commodity inspection is unqualified. S9. Determine whether the temperature difference between the indoor return air temperature and the indoor supply air temperature exceeds the preset threshold. If so, proceed to S10; otherwise, directly determine that the commodity inspection is unqualified. S10. After the temperature inside the temperature control device to be tested equals the indoor return air temperature, cut off the power 10 seconds later to complete the commercial inspection.

7. A commercial inspection method for temperature control equipment in a power control cabinet according to claim 6, characterized in that, Methods for preprocessing the collected electrical parameters and multi-dimensional temperature data include: Each set of electrical parameters and multi-dimensional temperature data collected every 100ms is considered a data set. After acquiring 10 sets of data consecutively, the entire data set containing the maximum and minimum values ​​is removed, and the average value of the remaining 8 sets of data is used as the preprocessed data.

8. A commercial inspection method for temperature control equipment in a power control cabinet according to claim 7, characterized in that, The logic for determining the stable state includes: Calculate the slopes of the trends of power, indoor air outlet temperature, and outdoor air outlet temperature over time, respectively, and use them as the current regression slope; Determine whether the current regression slope and the corresponding linear regression equation's regression slope are within a set threshold. If so, determine that it is in a stable state; otherwise, directly determine that the commodity inspection is unqualified.

9. A commercial inspection method for temperature control equipment in a power control cabinet according to claim 7, characterized in that, When the temperature control device under test executes the cooling command, the power is corrected. The correction formula is as follows: P=P MC +P INFAN +P OUTFAN ; In the formula, P is the total power, P INFAN P is the input power of the evaporator fan. OUTFAN P is the input power of the condenser fan. MC The formula for calculating the compressor input power is: P MC =C1+C2×Te+C3×Tc+C4×f+C5×Te×Te+C6×Tc×Tc+C7×f×f+C8×Te×Tc+C9×Te×f+C1 0×Tc×f+C11×Te×Te×f+C12×Te×f×f+C13×Tc×Tc×f+C14×Tc×f×f+C15×Te×Tc×f; In the formula, Te is the evaporation temperature, Tc is the condensation temperature, f is the compressor frequency, and C1, C2...C15 are all calibration coefficients.

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