A portable switch cabinet dehumidification temperature and humidity rapid on-site calibration device and method

Abstract

The application discloses a portable switch cabinet dehumidification and temperature and humidity rapid field calibration device and method, which comprises a portable temperature and humidity environment cavity, a calibration installation unit, a standard reference unit, an air flow circulation unit and an intelligent control unit; the intelligent control unit is provided with a self-checking module, a data acquisition module, a calibration judgment module and a calibration locking module; the self-checking module determines an abnormal reference sensor through data comparison logic; the data acquisition module synchronously acquires data and constructs a sliding window data set; the calibration judgment module calculates space uniformity indexes and time stability indexes, compares the space uniformity indexes and the time stability indexes with space uniformity threshold values and time drift threshold values, and judges the environment stability; the calibration locking module calculates an environment reference true value, calculates errors of sensors to be calibrated, and generates a calibration report; the application reduces the volume and weight of the calibration equipment, reduces the deviation caused by local air flow disturbance in the calibration chamber, automatically judges the calibration environment, and improves the calibration quality.

Description

Technical Field

[0001] This invention relates to the field of on-site verification technology, and in particular to a portable device and method for rapid on-site verification of temperature and humidity in switchgear. Background Technology

[0002] In power equipment such as power switchgear, ring main units, and terminal boxes, temperature and humidity controllers are key auxiliary devices to prevent condensation, insulation creep, and flashover accidents inside the equipment. To ensure the safe operation of the power grid, these temperature and humidity sensors must be calibrated regularly. For example, patent document CN110501037A discloses a calibration method for temperature and humidity sensors in power equipment via IoT, which improves testing accuracy by using sealed heating and humidification, and ensuring consistent temperature and humidity changes between two sensors. Another example is patent document CN107192479A, which discloses a portable temperature and humidity calibrator, including a calibration chamber, a temperature control device, a humidity generator, a dryer, and a control system. The control system continuously corrects and processes the acquired data, generating control signals to send to each device to control its operation, effectively solving the existing problem of online detection of temperature and humidity sensors. However, in the existing technology, the calibration of temperature and humidity sensors in switchgear still has the following problems:

[0003] 1. Existing calibration equipment requires the configuration of a temperature and humidity generator, which increases the size and weight of the calibration equipment, and also requires cumbersome calibration procedures for data processing.

[0004] 2. The calibration equipment is only equipped with a high-precision dew point meter or sensor as a reference. Due to the uneven airflow in the calibration environment, the calibration results are unreliable.

[0005] 3. Existing calibration equipment relies on manual observation of reading stability and cannot quantify the uniformity of the calibration environment, resulting in inconsistent calibration quality. Summary of the Invention

[0006] To address the problems existing in the prior art, the present invention provides a portable device and method for rapid on-site verification of temperature and humidity in switch cabinets.

[0007] On the one hand, the present invention provides a portable switch cabinet dehumidification temperature and humidity rapid on-site calibration device, the device comprising: a portable temperature and humidity environment chamber, a calibration installation unit, a standard reference unit, an airflow circulation unit, and an intelligent control unit;

[0008] The portable temperature and humidity environment chamber is used to define a fully enclosed calibration chamber.

[0009] The calibration mounting unit is located at the center of the calibration chamber and is used to fix one or more sensors to be calibrated.

[0010] The standard reference unit includes three temperature and humidity reference sensors. The reference sensors are distributed in an equilateral triangle on a horizontal plane, and the sensor to be calibrated is fixed at the outer center of the triangle. The sensing probes of all reference sensors and the sensor to be calibrated are on the same horizontal cross section.

[0011] The airflow circulation unit is located at the top of the portable temperature and humidity environment cavity and is used to generate a uniform airflow through the standard reference unit and the sensor to be calibrated.

[0012] The intelligent control unit is connected to the verification installation unit, the standard reference unit, and the airflow circulation unit respectively; the intelligent control unit is equipped with a self-test module, a data acquisition module, a verification judgment module, and a verification locking module.

[0013] Furthermore, the self-test module is used to automatically determine and mark abnormal reference sensors through data comparison logic between each reference sensor;

[0014] The data acquisition module is used to synchronously acquire data from each benchmark sensor and construct a sliding window dataset.

[0015] The verification and judgment module is used to calculate the spatial uniformity index and the temporal stability index based on the sliding window dataset, and compare them with the preset spatial uniformity threshold and temporal drift threshold to determine the environmental stability state.

[0016] The verification locking module is used to determine the environmental reference true value based on the spatial average value and error compensation of the reference sensor, calculate the error of the sensor to be verified, and generate a verification report.

[0017] Furthermore, the verification and judgment module calculates the spatial uniformity index based on the sliding window dataset, specifically including: the spatial uniformity index at the current moment is the spatial standard deviation. The calculation method is as follows: the current time is The temperature or humidity data collected from three reference sensors are as follows: , , Calculate the current average temperature or humidity of the space. :

[0018]

[0019] .

[0020] Furthermore, the verification and judgment module calculates the time stability index based on the sliding window dataset, specifically including: the time stability index at the current moment is the rate of change of time. The calculation method is as follows:

[0021]

[0022] in, Indicates the size of the sliding window. Indicates the first Each sampling time, Indicates the time average. This represents the arithmetic mean of the average temperature or humidity of all spaces within the sliding window.

[0023] Furthermore, the verification and locking module determines the environmental reference truth value based on the spatial average value of the reference sensor and error compensation, specifically including:

[0024]

[0025] in, Indicates the environmental reference truth value. This represents the time constant, used to compensate for the hysteresis error caused by the thermal inertia of the reference sensor.

[0026] On the other hand, the present invention provides a portable switch cabinet dehumidification temperature and humidity rapid on-site verification method, applied to the above-mentioned device, the method comprising the following steps:

[0027] Step S1: Fix the sensor to be calibrated to the calibration mounting unit, and the intelligent control unit starts the airflow circulation unit to construct a controlled flow field;

[0028] Step S2: The intelligent control unit synchronously collects data from three reference sensors and the sensor to be verified at a preset sampling frequency, and stores it in the sliding window dataset;

[0029] Step S3: Calculate the spatial uniformity index and temporal stability index based on the sliding window dataset;

[0030] Step S4: Compare the spatial uniformity index and the temporal stability index with the preset spatial uniformity threshold and temporal drift threshold, respectively; if both meet the requirements, it is determined that the environment has reached a stable state, and proceed to step S5; if not, proceed to step S6.

[0031] Step S5: Trigger data locking. The intelligent control unit determines the environmental reference true value based on the spatial average value and error compensation of the reference sensor at the current time, calculates the error of the sensor to be calibrated, and generates a calibration report.

[0032] Step S6: The intelligent control unit optimizes the flow field state by adjusting the parameters of the airflow circulation unit and continuously updates the sliding window dataset, then returns to step S3.

[0033] Furthermore, in step S1, before fixing the sensor to be calibrated to the calibration installation unit, the intelligent control unit reads the data of the three reference sensors. If the difference between any two reference sensors exceeds a preset safety threshold, the intelligent control unit alarms to indicate a reference sensor malfunction and automatically marks the abnormal reference sensor.

[0034] Furthermore, step S3 specifically includes the following steps:

[0035] Step S31: The spatial homogeneity index at the current moment is the spatial standard deviation. The calculation method is as follows: the current time is The temperature or humidity data collected from three reference sensors are as follows: , , Calculate the current average temperature or humidity of the space. :

[0036]

[0037]

[0038] Step S32: The time stability index at the current moment is the rate of change of time. The calculation method is as follows:

[0039]

[0040] in, Indicates the size of the sliding window. Indicates the first Each sampling time, Indicates the time average. This represents the arithmetic mean of the average temperature or humidity of all spaces within the sliding window.

[0041] Furthermore, in step S4, if both requirements are met, the environment is determined to have reached a stable state, and step S5 is then initiated, specifically including:

[0042] like and If so, the verification environment is determined to meet the conditions for fast verification; where, Indicates the spatial uniformity threshold. This represents the time drift threshold.

[0043] Furthermore, in step S5, determining the environmental reference true value based on the spatial average value of the reference sensor at the current time and error compensation specifically includes:

[0044]

[0045] in, Indicates the environmental reference truth value. This represents the time constant, used to compensate for the hysteresis error caused by the thermal inertia of the reference sensor.

[0046] This invention has the following advantages: It discloses a portable on-site rapid temperature and humidity calibration device and method for switchgear dehumidification. By combining a fully enclosed calibration chamber with an internal airflow circulation unit, this invention eliminates the reliance on traditional bulky temperature and humidity generators, significantly reducing the size and weight of the equipment and facilitating rapid calibration at the switchgear site. Furthermore, it employs three reference sensors forming an equilateral triangle, using the spatial average value as a reference basis, effectively reducing deviations caused by local airflow disturbances within the calibration chamber. Finally, by using preset spatial uniformity thresholds and time drift thresholds, this invention can automatically determine the calibration environment, eliminating human interference and improving calibration quality. Attached Figure Description

[0047] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0048] Figure 1 A structural diagram of a portable switch cabinet dehumidification temperature and humidity rapid on-site verification device provided in an embodiment of the present invention;

[0049] Figure 2 A schematic diagram of a portable switch cabinet dehumidification temperature and humidity rapid on-site verification device provided in an embodiment of the present invention;

[0050] Figure 3 The flowchart illustrates a method for rapid on-site verification of temperature and humidity in a portable switchgear, as provided in this embodiment of the invention. Detailed Implementation

[0051] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of the embodiments of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are merely one unit of embodiments of this invention, and not all embodiments. Based on the embodiments of this invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this invention.

[0052] As one embodiment of the present invention, such as Figure 1As shown, this embodiment provides a portable switch cabinet dehumidification temperature and humidity rapid on-site calibration device. The device includes: a portable temperature and humidity environment chamber, a calibration installation unit, a standard reference unit, an airflow circulation unit, and an intelligent control unit.

[0053] The portable temperature and humidity environment chamber is used to define a fully enclosed calibration chamber.

[0054] Specifically, the portable temperature and humidity environment chamber's shell is made of high-strength engineering plastic or lightweight aluminum alloy, and its internal space is precisely sealed to define a fully enclosed calibration chamber. The volume of this chamber is designed to accommodate the sensor to be calibrated while ensuring smooth airflow. The enclosed design effectively isolates the internal calibration environment from interference from complex external environments.

[0055] like Figure 2 As shown, the portable temperature and humidity environment chamber has a visual panel 1, a sealing lock 2, and a handling handle 3. The effective internal dimensions of the chamber are ≥20cm (L) * 15cm (W) * 15cm (H), suitable for conventional integrated dehumidifiers.

[0056] The calibration mounting unit is located at the center of the calibration chamber and is used to fix one or more sensors to be calibrated.

[0057] Specifically, the calibration mounting unit is located at the center of the calibration chamber and is equipped with an adjustable universal clamp or a dedicated socket for securely fixing the sensor to be calibrated. Its positioning ensures that the sensor's probe is located in the most stable region of the flow field. The calibration mounting unit can fix one or more sensors to be calibrated, allowing for simultaneous calibration of multiple sensors and improving calibration efficiency.

[0058] The standard reference unit includes three temperature and humidity reference sensors. The reference sensors are distributed in an equilateral triangle on a horizontal plane, and the sensor to be calibrated is fixed at the outer center of the triangle. The sensing probes of all reference sensors and the sensor to be calibrated are on the same horizontal cross section.

[0059] Specifically, in terms of spatial layout, the three reference sensors are distributed in an equilateral triangle on a horizontal plane; their geometric centers correspond, with the sensor to be calibrated fixed at the circumcenter of this equilateral triangle; and they are horizontally consistent, with the sensing probes of all reference sensors and the sensor to be calibrated on the same horizontal cross-section. This layout ensures the symmetry of the reference points and the measured points in spatial topology, greatly reducing random errors caused by local airflow disturbances.

[0060] The airflow circulation unit is located at the top of the portable temperature and humidity environment cavity and is used to generate a uniform airflow through the standard reference unit and the sensor to be calibrated.

[0061] Specifically, the airflow circulation unit is located at the top of the cavity and can employ a miniature silent fan and airflow guide grid. Its function is to force airflow within the calibration chamber, generating a uniform airflow through the reference sensor and the sensor to be calibrated. Through the design of the controlled flow field, the time required for temperature and humidity equilibrium is shortened, achieving the requirement for rapid calibration.

[0062] The intelligent control unit is connected to the verification installation unit, the standard reference unit, and the airflow circulation unit respectively; the intelligent control unit is equipped with a self-test module, a data acquisition module, a verification judgment module, and a verification locking module.

[0063] Furthermore, the self-test module is used to automatically determine and mark abnormal reference sensors through data comparison logic between each reference sensor.

[0064] Specifically, before the verification begins, the self-test module automatically identifies and marks abnormal reference sensors through data comparison logic between the reference sensors. For example, if the reading of one reference sensor deviates significantly from the other two or exceeds a preset safety threshold, the system will issue a fault alarm and lock the sensor to prevent incorrect reference data from leading to incorrect verification conclusions.

[0065] The data acquisition module is used to synchronously acquire data from each benchmark sensor and construct a sliding window dataset.

[0066] Specifically, the data acquisition module synchronously collects temperature and humidity data from three benchmark sensors at a preset frequency and constructs a sliding window dataset. This time-series-based windowing processing method provides dynamic data support for subsequent environmental stability assessments.

[0067] The verification and judgment module is used to calculate the spatial uniformity index and the temporal stability index based on the sliding window dataset, and compare them with the preset spatial uniformity threshold and temporal drift threshold to determine the environmental stability state.

[0068] The verification and judgment module is key to realizing the "quantitative verification environment". It calculates two key indicators in real time based on the sliding window dataset:

[0069] Spatial uniformity index: reflects the real-time differences between the three reference sensors in the calibration chamber.

[0070] Time stability index: reflects the fluctuation trend of environmental parameters in the chamber over time.

[0071] The intelligent control unit compares these indicators with preset spatial uniformity thresholds and temporal drift thresholds. Only when the spatial differences are small enough and the temporal fluctuations are stable enough will the intelligent control unit determine that the current environment meets the conditions for rapid verification.

[0072] The verification locking module is used to determine the environmental reference true value based on the spatial average value and error compensation of the reference sensor, calculate the error of the sensor to be verified, and generate a verification report.

[0073] Furthermore, the verification and judgment module calculates the spatial uniformity index based on the sliding window dataset, specifically including: the spatial uniformity index at the current moment is the spatial standard deviation. The calculation method is as follows: the current time is The temperature or humidity data collected from three reference sensors are as follows: , , Calculate the current average temperature or humidity of the space. :

[0074]

[0075] .

[0076] Furthermore, the verification and judgment module calculates the time stability index based on the sliding window dataset, specifically including: the time stability index at the current moment is the rate of change of time. The calculation method is as follows:

[0077]

[0078] in, Indicates the size of the sliding window. Indicates the first Each sampling time, Indicates the time average. This represents the arithmetic mean of the average temperature or humidity of all spaces within the sliding window.

[0079] Furthermore, the verification and determination module's determination of the environmental stability state specifically includes: if and If so, the verification environment is determined to meet the conditions for fast verification; where, Indicates the spatial uniformity threshold. This represents the time drift threshold.

[0080] Furthermore, the verification and locking module determines the environmental reference truth value based on the spatial average value of the reference sensor and error compensation, specifically including:

[0081]

[0082] in, Indicates the environmental reference truth value. This represents the time constant, used to compensate for the hysteresis error caused by the thermal inertia of the reference sensor.

[0083] On the other hand, as another embodiment of the present invention, such as Figure 3 As shown, this embodiment provides a method for rapid on-site verification of temperature and humidity in a portable switch cabinet, applied to the aforementioned device. The method includes the following steps:

[0084] Step S1: Fix the sensor to be calibrated to the calibration mounting unit, and the intelligent control unit starts the airflow circulation unit to construct a controlled flow field;

[0085] Step S2: The intelligent control unit synchronously collects data from three reference sensors and the sensor to be verified at a preset sampling frequency, and stores it in the sliding window dataset;

[0086] Step S3: Calculate the spatial uniformity index and temporal stability index based on the sliding window dataset;

[0087] Step S4: Compare the spatial uniformity index and the temporal stability index with the preset spatial uniformity threshold and temporal drift threshold, respectively; if both meet the requirements, it is determined that the environment has reached a stable state, and proceed to step S5; if not, proceed to step S6.

[0088] Step S5: Trigger data locking. The intelligent control unit determines the environmental reference true value based on the spatial average value and error compensation of the reference sensor at the current time, calculates the error of the sensor to be calibrated, and generates a calibration report.

[0089] Step S6: The intelligent control unit optimizes the flow field state by adjusting the parameters of the airflow circulation unit and continuously updates the sliding window dataset, then returns to step S3.

[0090] Specifically, the intelligent control unit uses variable frequency pulse control to change the rotation speed or periodically change the airflow direction. By disturbing the airflow, it breaks up the originally formed stable thermal stratification or moisture mass, forcing the air to mix thoroughly in the calibration chamber, thereby reducing the temperature and humidity deviation of the space.

[0091] Furthermore, in step S1, before fixing the sensor to be calibrated to the calibration installation unit, the intelligent control unit reads the data of the three reference sensors. If the difference between any two reference sensors exceeds a preset safety threshold, the intelligent control unit alarms to indicate a reference sensor malfunction and automatically marks the abnormal reference sensor.

[0092] Specifically, after powering on, the intelligent control unit first reads data from three reference sensors. , , Calculate the difference between any two reference sensors:

[0093]

[0094] If the difference between any two of the above values ​​exceeds 0.5°C, the system will immediately alarm and display a "sensor malfunction" message, while automatically marking sensors with significantly deviated data as faulty sensors. For example, if It's very small, but and If the value is large enough, the reference sensor C can be accurately identified as the faulty sensor.

[0095] Furthermore, step S3 specifically includes the following steps:

[0096] Step S31: The spatial homogeneity index at the current moment is the spatial standard deviation. The calculation method is as follows: the current time is The temperature or humidity data collected from three reference sensors are as follows: , , Calculate the current average temperature or humidity of the space. :

[0097]

[0098]

[0099] Step S32: The time stability index at the current moment is the rate of change of time. The calculation method is as follows:

[0100]

[0101] in, Indicates the size of the sliding window. Indicates the first Each sampling time, Indicates the time average. This represents the arithmetic mean of the average temperature or humidity of all spaces within the sliding window.

[0102] Specifically, regarding window length, within the current window Inside, according to each and the fitted values ​​obtained by least squares method Calculate goodness of fit :

[0103]

[0104] Based on goodness of fit Determine the adaptive function for window length :

[0105]

[0106] when At this time, the environment is relatively stable, and Adjusted to 15; when This is normal background noise at the verification site. Adjust to 30; when At this time, the airflow is unstable or there is electromagnetic noise, which will Adjust to 60. When drastic environmental changes lead to a decrease in goodness of fit, shorten the time. To improve tracking sensitivity and shorten calibration time, thus increasing calibration efficiency; when background noise or unstable airflow in the environment leads to increased goodness of fit, increase... To improve the accuracy of verification.

[0107] Specifically, the sampling frequency is 1 Sliding window dataset , , , , .

[0108] Furthermore, in step S4, if both requirements are met, the environment is determined to have reached a stable state, and step S5 is then initiated, specifically including:

[0109] like and If so, the verification environment is determined to meet the conditions for fast verification; where, Indicates the spatial uniformity threshold. This represents the time drift threshold.

[0110] Specifically, spatial uniformity threshold Time drift threshold ; , It meets the requirements for fast verification.

[0111] Furthermore, in step S5, determining the environmental reference true value based on the spatial average value of the reference sensor at the current time and error compensation specifically includes:

[0112]

[0113] in, Indicates the environmental reference truth value. This represents the time constant, used to compensate for the hysteresis error caused by the thermal inertia of the reference sensor.

[0114] Specifically, ,but:

[0115]

[0116] If the sensor to be tested is currently reading Then its absolute error is:

[0117]

[0118] Record this error and generate a final verification report.

[0119] The verification logic for humidity sensors in this method is completely consistent with that for temperature sensors, both based on the same spatial uniformity and temporal stability determination algorithms. Only the physical quantity units and corresponding thresholds are equivalently replaced with the measurement parameters.

[0120] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A portable on-site device for rapid on-site verification of dehumidification temperature and humidity in switchgear, characterized in that, The device includes: a portable temperature and humidity environment chamber, a calibration and installation unit, a standard reference unit, an airflow circulation unit, and an intelligent control unit; The portable temperature and humidity environment chamber is used to define a fully enclosed calibration chamber. The calibration mounting unit is located at the center of the calibration chamber and is used to fix one or more sensors to be calibrated. The standard reference unit includes three temperature and humidity reference sensors. The reference sensors are distributed in an equilateral triangle on a horizontal plane, and the sensor to be calibrated is fixed at the outer center of the triangle. The sensing probes of all reference sensors and the sensor to be calibrated are on the same horizontal cross section. The airflow circulation unit is located at the top of the portable temperature and humidity environment cavity and is used to generate a uniform airflow through the standard reference unit and the sensor to be calibrated. The intelligent control unit is connected to the verification installation unit, the standard reference unit, and the airflow circulation unit respectively; the intelligent control unit is equipped with a self-test module, a data acquisition module, a verification judgment module, and a verification locking module. The self-testing module is used to automatically determine and mark abnormal reference sensors through data comparison logic between various reference sensors; The data acquisition module is used to synchronously acquire data from each benchmark sensor and construct a sliding window dataset. The verification and judgment module is used to calculate the spatial uniformity index and the temporal stability index based on the sliding window dataset. The spatial uniformity index reflects the real-time differences between the three reference sensors in the verification chamber; the temporal stability index reflects the fluctuation trend of the environmental parameters in the chamber over time, and is compared with the preset spatial uniformity threshold and time drift threshold to determine the environmental stability. The verification locking module is used to determine the environmental reference true value based on the spatial average value and error compensation of the reference sensor, calculate the error of the sensor to be verified, and generate a verification report.

2. The apparatus according to claim 1, characterized in that: The verification and judgment module calculates the spatial uniformity index based on the sliding window dataset, specifically including: the spatial uniformity index at the current moment is the spatial standard deviation. The calculation method is as follows: the current time is The temperature or humidity data collected from three reference sensors are as follows: , , Calculate the current average temperature or humidity of the space. : 。 3. The apparatus according to claim 2, characterized in that: The verification and judgment module calculates the time stability index based on the sliding window dataset, specifically including: the time stability index at the current moment is the rate of change of time. The calculation method is as follows: in, Indicates the size of the sliding window. Indicates the first Each sampling time, Indicates the time average. This represents the arithmetic mean of the average temperature or humidity of all spaces within the sliding window.

4. The apparatus according to claim 3, characterized in that: The verification and locking module determines the environmental reference true value based on the spatial average value and error compensation of the reference sensor, specifically including: in, Indicates the environmental reference truth value. This represents the time constant, used to compensate for the hysteresis error caused by the thermal inertia of the reference sensor.

5. A portable switchgear dehumidification temperature and humidity rapid on-site verification method, applied to the device described in any one of claims 1-4, characterized in that, The method includes the following steps: Step S1: Fix the sensor to be calibrated to the calibration mounting unit, and the intelligent control unit starts the airflow circulation unit to construct a controlled flow field; Step S2: The intelligent control unit synchronously collects data from three reference sensors and the sensor to be verified at a preset sampling frequency, and stores it in the sliding window dataset; Step S3: Calculate the spatial uniformity index and temporal stability index based on the sliding window dataset; Step S4: Compare the spatial uniformity index and the temporal stability index with the preset spatial uniformity threshold and temporal drift threshold, respectively; if both meet the requirements, it is determined that the environment has reached a stable state, and proceed to step S5; if not, proceed to step S6. Step S5: Trigger data locking. The intelligent control unit determines the environmental reference true value based on the spatial average value and error compensation of the reference sensor at the current time, calculates the error of the sensor to be calibrated, and generates a calibration report. Step S6: The intelligent control unit optimizes the flow field state by adjusting the parameters of the airflow circulation unit and continuously updates the sliding window dataset, then returns to step S3.

6. The method according to claim 5, characterized in that: In step S1, before fixing the sensor to be calibrated to the calibration installation unit, the intelligent control unit reads the data of the three reference sensors. If the difference between any two reference sensors exceeds a preset safety threshold, the intelligent control unit alarms to indicate that the reference sensor is faulty and automatically marks the abnormal reference sensor.

7. The method according to claim 6, characterized in that: Step S3 specifically includes the following steps: Step S31: The spatial homogeneity index at the current moment is the spatial standard deviation. The calculation method is as follows: the current time is The temperature or humidity data collected from three reference sensors are as follows: , , Calculate the current average temperature or humidity of the space. : Step S32: The time stability index at the current moment is the rate of change of time. The calculation method is as follows: in, Indicates the size of the sliding window. Indicates the first Each sampling time, Indicates the time average. This represents the arithmetic mean of the average temperature or humidity of all spaces within the sliding window.

8. The method according to claim 7, characterized in that: In step S4, if both requirements are met, the environment is determined to have reached a stable state, and step S5 is then initiated, which specifically includes: like and If so, the verification environment is determined to meet the conditions for fast verification; where, Indicates the spatial uniformity threshold. This represents the time drift threshold.

9. The method according to claim 8, characterized in that: In step S5, determining the environmental reference true value based on the spatial average value and error compensation of the current time reference sensor specifically includes: in, Indicates the environmental reference truth value. This represents the time constant, used to compensate for the hysteresis error caused by the thermal inertia of the reference sensor.

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