A humidity self-adaptive regulation method for an electric control cabinet

Abstract

This application discloses a humidity adaptive control method for electrical control cabinets, relating to the field of power equipment operating environment control. The method includes acquiring temperature and relative humidity data from multiple monitoring points, external environmental temperature and humidity data, and real-time operating power data of electrical components; calculating the real-time dew point temperature of each monitoring point; establishing a heat balance equation based on the real-time operating power data of electrical components; predicting the temperature change trend of each monitoring point within a preset time period; calculating the condensation risk index of each monitoring point based on the dew point temperature, temperature change trend, and preset electrical component surface temperature data; comparing this index with preset multi-level risk thresholds to determine the humidity risk level; and generating corresponding humidity control instructions by calling a preset control strategy library based on the humidity risk level. This application achieves condensation risk prediction by establishing a heat balance equation through comprehensive multi-source data and adaptively selecting the corresponding control mode according to the risk level, thus realizing precise and efficient adaptive control of the humidity in the electrical control cabinet.

Description

Technical Field

[0001] This application relates to the field of power equipment operating environment control technology, and in particular to a humidity adaptive control method for electrical control cabinets. Background Technology

[0002] Electrical control cabinets, as core equipment in power systems, industrial automation, and building power distribution, typically integrate numerous electrical components such as frequency converters, circuit breakers, relays, and PLC controllers. These components have strict requirements regarding the humidity of the operating environment. When the humidity inside the control cabinet is too high, water vapor in the air may condense on the surfaces of the electrical components at lower temperatures, leading to decreased insulation strength, corrosion of metal parts, and in severe cases, short circuits, creepage, or even equipment burnout.

[0003] Currently, dehumidification of electrical control cabinets mainly employs methods such as heating dehumidification, ventilation dehumidification, refrigeration dehumidification, or desiccant dehumidification. However, existing solutions have the following shortcomings: First, the control method is singular, mostly using fixed threshold control, which cannot adaptively adjust according to actual working conditions and environmental changes, easily leading to insufficient or excessive dehumidification; Secondly, there is a lack of ability to predict the risk of condensation. The judgment is based solely on the current humidity, and it is impossible to predict the impact of temperature change trends on condensation, resulting in a lag in regulation. Third, the operating power information of electrical components was not fully utilized, and the impact of component heating on the temperature distribution and trend inside the cabinet was ignored, making it difficult to achieve precise control; Fourth, it lacks the comprehensive coordination capability of multiple dehumidification modes, making it difficult to automatically select the optimal dehumidification strategy and optimize parameters based on actual working conditions. Summary of the Invention

[0004] The purpose of this application is to provide a humidity adaptive control method for electrical control cabinets, thereby solving the aforementioned problems existing in the prior art.

[0005] To achieve the above objectives, this application provides a humidity adaptive control method for an electrical control cabinet, comprising the following steps: S1: Acquire temperature and relative humidity data from multiple monitoring points inside the electrical control cabinet, temperature and humidity data of the external environment of the electrical control cabinet, and real-time operating power data of electrical components inside the electrical control cabinet; S2: Calculate the real-time dew point temperature of each monitoring point, and based on the real-time operating power data of electrical components, establish a heat balance equation to predict the temperature change trend of each monitoring point within a preset time period in the future. S3: Calculate the condensation risk index for each monitoring point based on real-time dew point temperature, temperature change trend, and preset electrical component surface temperature data; compare the condensation risk index with preset multi-level risk thresholds to determine the humidity risk level. S4: Based on the humidity risk level, call the preset control strategy library to generate the corresponding humidity control command; the control strategy library includes: normal monitoring mode, ventilation dehumidification mode, heating dehumidification mode, cooling dehumidification mode and desiccant-assisted dehumidification mode.

[0006] Preferably, the locations of the multiple monitoring points inside the electrical control cabinet include: the top, middle, and bottom of the electrical control cabinet, as well as near electrical components that generate a large amount of heat; the location for collecting the temperature and humidity data of the external environment of the electrical control cabinet is a ventilated area at a preset distance from the electrical control cabinet.

[0007] Preferably, the real-time dew point temperature is calculated using the simplified Magnus formula, expressed as: ; in, , To monitor the temperature, For the relative humidity at the monitoring point, a and b This is a preset constant.

[0008] Preferably, the heat balance equation is a first-order thermal resistance-heat capacity network model, expressed as: ; in, This refers to the equivalent heat capacity inside the electrical control cabinet. For monitoring points at t Temperature at any moment The heat loss is caused by the real-time operating power of electrical components. The overall heat dissipation coefficient is determined by the thermal conductivity, surface area, and convective heat transfer coefficient of the cabinet material. Real-time temperature of the external environment.

[0009] Preferably, the condensation risk index is expressed as: ; in, To monitor the real-time dew point temperature; This refers to the surface temperature of the electrical component at the corresponding location. The preset safe temperature difference threshold; The rate of temperature change at the monitoring point obtained from the calculation of the heat balance equation; The relative humidity at the monitoring point; , , These are preset weighting coefficients.

[0010] Preferably, the multi-level risk thresholds include: safety level, warning level, and danger level; When the condensation risk index (CRI) at all monitoring points meets the condition that CRI < CRIth1 When the time comes, it is determined to be a safe level; When the condensation risk index (CRI) at at least one monitoring point meets the CRI th1 ≤CRI<CRI th2 When this occurs, it is classified as a warning level; When the condensation risk index (CRI) at at least one monitoring point satisfies CRI ≥ CRI th2 At that time, it was determined to be at a dangerous level; Among them, CRI th1 As the first risk threshold, CRI th2 As the second risk threshold, and CRI th2 >CRI th1 .

[0011] Preferably, based on the humidity risk level, a preset control strategy library is invoked to generate corresponding humidity control instructions, specifically including: When the humidity risk level is at the safe level, the normal monitoring mode shall be implemented; When the humidity risk level is at the warning level, the absolute humidity of the air outside the control cabinet is compared with that of the air inside the cabinet. If the outside humidity is lower than that inside the cabinet, a command to start the ventilation and dehumidification mode is generated; otherwise, a command to start the desiccant-assisted dehumidification mode is generated. When the humidity risk level is dangerous, based on the distribution of condensation risk index at each monitoring point, the heating dehumidification mode or cooling dehumidification mode is activated in the area where the monitoring point with the highest condensation risk index is located, and the ventilation dehumidification mode is activated simultaneously for auxiliary dehumidification.

[0012] Preferably, the desiccant-assisted dehumidification mode includes a dehumidification stage and a regeneration stage, specifically including: During the dehumidification phase, the air inside the control cabinet flows through the desiccant module; When the preset regeneration conditions are met, switch to the regeneration stage. The regeneration conditions include: the rate of humidity decrease in the cabinet is lower than the preset threshold, and the cumulative running time of the desiccant exceeds the preset duration. During the regeneration phase, the heating components are activated to heat the desiccant module, and the exhaust system is turned on to expel the hot and humid air outside the cabinet.

[0013] Preferably, it also includes controlling the operation of the corresponding dehumidification actuator according to the generated humidity control command, continuously acquiring the actual temperature and humidity data after control during operation, calculating the actual control effect index based on the actual temperature and humidity data, comparing the actual control effect index with the preset expected effect index, and obtaining the deviation value. Based on the deviation value, adjust the operating parameters of the corresponding mode in the control strategy library. The operating parameters include the start-up timing, running time, and operating power of the dehumidification actuator.

[0014] Therefore, the humidity adaptive control method for an electrical control cabinet described above has the following beneficial effects: (1) Multi-source data fusion improves control accuracy. This application integrates multi-source data such as temperature and humidity at multiple points inside the cabinet, temperature and humidity of the external environment, and operating power of electrical components. Compared with the traditional single humidity threshold control method, it can more comprehensively reflect the actual working conditions of the electrical control cabinet and achieve precise humidity control.

[0015] (2) Temperature trend prediction to achieve condensation risk prediction. This application establishes a heat balance equation and predicts the temperature change trend of each monitoring point in the future time period based on the operating power of electrical components. Combined with the dew point temperature, the condensation risk index is calculated, which can provide early warning and intervention before condensation occurs, and solves the problem of lag caused by the traditional solution that only relies on the current humidity.

[0016] (3) Multi-mode adaptive control for better energy efficiency. This application automatically selects ventilation dehumidification, heating dehumidification, cooling dehumidification, desiccant-assisted dehumidification or a combination thereof according to the humidity risk level. The start-up threshold and operating parameters corresponding to each mode can be adaptively configured according to the cabinet structure, component layout and seasonal characteristics, so as to reduce energy consumption while ensuring dehumidification effect.

[0017] The technical solution of this application will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description

[0018] Figure 1 This is a flowchart illustrating a humidity adaptive control method for an electrical control cabinet according to this application. Detailed Implementation

[0019] The following detailed description of the embodiments of this application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely to illustrate selected embodiments of the application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without inventive effort are within the scope of protection of this application.

[0020] Unless otherwise defined, the technical or scientific terms used in this application shall have the ordinary meaning as understood by a person of ordinary skill in the art to which this application pertains.

[0021] The terms "comprising" or "including," as used in this application, mean that the element preceding the term encompasses the element listed after the term, and do not exclude the possibility of encompassing other elements as well. The terms "inner," "outer," "upper," and "lower," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings, and are only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this application. When the absolute position of the described object changes, the relative positional relationship may also change accordingly. In this application, unless otherwise expressly specified and limited, the term "attached," etc., should be interpreted broadly. For example, it can refer to a fixed connection, a detachable connection, or an integral part; it can refer to a direct connection or an indirect connection through an intermediate medium; it can refer to the internal communication of two elements or the interaction relationship between two elements. Those skilled in the art can understand the specific meaning of the above terms in this application according to the specific circumstances.

[0022] Example 1: A humidity adaptive control method for an electrical control cabinet, such as Figure 1 As shown, it includes the following steps: S1: Acquire temperature and relative humidity data from multiple monitoring points inside the electrical control cabinet, temperature and humidity data of the external environment of the electrical control cabinet, and real-time operating power data of electrical components inside the electrical control cabinet; The locations of multiple monitoring points inside the electrical control cabinet include: the top, middle, and bottom of the electrical control cabinet, as well as near electrical components that generate a lot of heat; the collection locations for the temperature and humidity data of the external environment of the electrical control cabinet are in a well-ventilated area at a preset distance from the electrical control cabinet.

[0023] Specifically, multiple temperature and humidity monitoring points are arranged at different locations inside the electrical control cabinet to acquire temperature and relative humidity data at each monitoring point in real time; at the same time, temperature and humidity acquisition points are set up outside the electrical control cabinet to acquire external environmental temperature and humidity data; in addition, real-time operating power data of the main electrical components inside the electrical control cabinet are acquired through a power acquisition module.

[0024] The placement of monitoring points takes into account the temperature stratification characteristics inside the electrical control cabinet and the influence of key heat-generating components. Specifically, at least one monitoring point is set at the top, middle, and bottom of the cabinet to capture the temperature and humidity distribution differences along the height of the cabinet. Additional monitoring points are placed near electrical components that generate a large amount of heat, such as frequency converters, circuit breakers, relays, and PLC controllers, to obtain the local temperature and humidity conditions around these components. When multiple electrical components of the same type are distributed in various locations within the cabinet, monitoring points are placed near the component with the highest heat generation or the greatest sensitivity to condensation.

[0025] The collection points for external environmental temperature and humidity data are set at a certain distance from the electrical control cabinet and in a well-ventilated location, generally 0.5 to 2 meters from the outer surface of the electrical control cabinet, avoiding exhaust vents, heat sources and areas exposed to direct sunlight, to ensure that the collected data can accurately reflect the actual temperature and humidity conditions of the environment in which the electrical control cabinet is located.

[0026] Real-time operating power data of electrical components is obtained from the power supply circuit of the electrical components through the power acquisition module. The acquisition targets include the main heat-generating electrical components in the cabinet. The real-time power of each component is summarized and used as the input parameter of the heat balance equation.

[0027] S2: Calculate the real-time dew point temperature of each monitoring point, and based on the real-time operating power data of electrical components, establish a heat balance equation to predict the temperature change trend of each monitoring point within a preset time period in the future. The real-time dew point temperature is calculated using the simplified Magnus formula, expressed as: ; in, , To monitor the temperature, For the relative humidity at the monitoring point, a and b This is a preset constant. In this application a 17.27 is acceptable. b The value is 237.7; The heat balance equation is a first-order thermal resistance-heat capacity network model, expressed as: ; in, This refers to the equivalent heat capacity inside the electrical control cabinet. For monitoring points at t Temperature at any moment The heat loss is caused by the real-time operating power of electrical components. The overall heat dissipation coefficient is determined by the thermal conductivity, surface area, and convective heat transfer coefficient of the cabinet material. Provides the real-time temperature of the external environment.

[0028] The equivalent heat capacity in this application is obtained through prior experimental calibration. Specifically, under the condition of a known comprehensive heat dissipation coefficient, a step heat source of known power is applied to the electrical control cabinet, and the time constant of the temperature response curve inside the cabinet is measured. Based on τ= / The equivalent heat capacity was calculated.

[0029] Specifically, after acquiring real-time temperature and relative humidity data for each monitoring point, the corresponding real-time dew point temperature is calculated for each point. The dew point temperature is calculated using the Magnus simplified formula; substituting the current temperature and relative humidity of the monitoring point into the formula yields the temperature at which the air reaches water vapor saturation. Each monitoring point is calculated independently to obtain its own current dew point temperature, which serves as the basis for subsequent condensation risk assessment.

[0030] Meanwhile, by utilizing the real-time operating power data of the electrical components, a heat balance equation is established inside the electrical control cabinet to predict the temperature change trend at each monitoring point within the cabinet. Specifically, the electrical control cabinet is considered a thermodynamic system. During operation, the electrical power consumed by the components is largely converted into heat. Part of this heat is absorbed by the air and structural components inside the cabinet, causing the temperature to rise, while the other part is dissipated through the cabinet walls to the external environment. Based on this heat balance, a first-order differential equation is established with the temperature at the monitoring points as the variable. This equation considers the heat generated by the electrical components, the overall heat dissipation capacity of the cabinet, and the influence of the temperature difference between the inside and outside of the cabinet on temperature changes.

[0031] Solving this differential equation allows us to estimate the approximate temperature change trajectory at each monitoring point over a future period, based on the current temperature. The prediction timeframe is set according to actual needs, typically ranging from several minutes to tens of minutes. The prediction process incorporates simplifications, assuming that the operating power of electrical components and the external ambient temperature remain essentially constant within the prediction timeframe. This ensures the prediction results are reliable while keeping the computational load within the tolerance of the embedded controller.

[0032] S3: Calculate the condensation risk index for each monitoring point based on real-time dew point temperature, temperature change trend, and preset electrical component surface temperature data; compare the condensation risk index with preset multi-level risk thresholds to determine the humidity risk level. The condensation risk index is expressed as: ; in, To monitor the real-time dew point temperature; This refers to the surface temperature of the electrical component at the corresponding location. The preset safe temperature difference threshold is determined based on the condensation sensitivity of the electrical components at the corresponding locations. For components sensitive to condensation, such as high-voltage components and integrated circuit boards, Take the larger value, such as 5℃; for components that are relatively insensitive to condensation, such as ordinary terminals and busbars, Choose the smaller value, such as 2℃; the default value is 3℃. Different monitoring points within the same electrical control cabinet can be set with different values ​​based on the corresponding electrical component types. value; The rate of temperature change at the monitoring point obtained from the calculation of the heat balance equation; The relative humidity at the monitoring point; , , For the preset weighting coefficients, satisfy The specific value can be determined based on the actual operating experience and historical data of the electrical control cabinet. Generally, Take a value of 0.4 to 0.6. Take a value of 0.2~0.4. Use a value between 0.1 and 0.3. The default value can be used during initial deployment. =0.5、 =0.3、 =0.2, and will be adaptively adjusted through feedback optimization.

[0033] The multi-level risk thresholds include: safety level, warning level, and danger level; When the condensation risk index (CRI) at all monitoring points meets the condition that CRI < CRI th1 When the time comes, it is determined to be a safe level; When the condensation risk index (CRI) at at least one monitoring point meets the CRI th1 ≤CRI<CRI th2 When this occurs, it is classified as a warning level; When the condensation risk index (CRI) at at least one monitoring point satisfies CRI ≥ CRI th2 At that time, it was determined to be at a dangerous level; Among them, CRI th1 As the first risk threshold, CRI th2 As the second risk threshold, and CRI th2 >CRI th1 .

[0034] S4: Based on the humidity risk level, call the preset control strategy library to generate the corresponding humidity control command; the control strategy library includes: normal monitoring mode, ventilation dehumidification mode, heating dehumidification mode, cooling dehumidification mode and desiccant-assisted dehumidification mode.

[0035] Based on the humidity risk level, the system invokes a preset control strategy library to generate corresponding humidity control instructions, specifically including: When the humidity risk level is at the safe level, the normal monitoring mode shall be implemented; When the humidity risk level is at the warning level, the absolute humidity of the air outside the control cabinet is compared with that of the air inside the cabinet. If the outside humidity is lower than that inside the cabinet, a command to start the ventilation and dehumidification mode is generated; otherwise, a command to start the desiccant-assisted dehumidification mode is generated. When the humidity risk level is dangerous, based on the distribution of condensation risk index at each monitoring point, the heating dehumidification mode or cooling dehumidification mode is activated in the area where the monitoring point with the highest condensation risk index is located, and the ventilation dehumidification mode is activated simultaneously for auxiliary dehumidification.

[0036] Desiccant-assisted dehumidification mode includes a dehumidification stage and a regeneration stage, specifically including: During the dehumidification phase, the air inside the control cabinet flows through the desiccant module; When the preset regeneration conditions are met, switch to the regeneration stage. The regeneration conditions include: the rate of humidity decrease in the cabinet is lower than the preset threshold, and the cumulative running time of the desiccant exceeds the preset duration. During the regeneration phase, the heating components are activated to heat the desiccant module, and the exhaust system is turned on to expel the hot and humid air outside the cabinet.

[0037] It also includes controlling the operation of the corresponding dehumidification actuator according to the generated humidity control command, continuously acquiring the actual temperature and humidity data after control during operation, calculating the actual control effect index based on the actual temperature and humidity data, comparing the actual control effect index with the preset expected effect index, and obtaining the deviation value. Based on the deviation value, adjust the operating parameters of the corresponding mode in the control strategy library. The operating parameters include the start-up timing, running time, and operating power of the dehumidification actuator.

[0038] Specifically, after the humidity control command is issued, the corresponding dehumidification actuator starts operating according to the command parameters. During the control process, the actual temperature and humidity data of each monitoring point inside the cabinet are continuously collected to track the humidity changes in this round of control in real time.

[0039] Based on continuously collected actual temperature and humidity data, the actual effect indicators of this round of regulation are calculated to quantitatively evaluate the regulation effect. Actual effect indicators include, but are not limited to, any one or a combination of the following: humidity decrease rate, time required to reach the target humidity, humidity fluctuation range after regulation stabilizes, humidity overshoot, and dehumidification per unit of energy consumption. The selection and combination of each indicator are configured according to the requirements of the actual application scenario regarding response speed, steady-state accuracy, and energy efficiency.

[0040] The actual performance indicators are compared with the preset expected performance indicators to obtain the deviation values ​​of each indicator. When multiple indicators are used for comprehensive evaluation, the deviation values ​​of each indicator are weighted and summed to obtain the comprehensive deviation value. The weight coefficients corresponding to each indicator are preset according to the control requirements.

[0041] Based on the magnitude and direction of the overall deviation value, the operating parameters of the corresponding control modes in the control strategy library are corrected. The corrected operating parameters include the start-up timing, runtime, and operating power of the dehumidification actuator. The correction principle is as follows: when the overall deviation value indicates that the actual control effect has not met expectations, adjustments are made to enhance dehumidification, including advancing the start-up timing, extending the runtime, or increasing the operating power; when the overall deviation value indicates that the actual control effect has exceeded expectations, adjustments are made to reduce dehumidification, including delaying the start-up timing, shortening the runtime, or reducing the operating power, in order to reduce unnecessary energy consumption while meeting dehumidification requirements.

[0042] The results of each parameter correction are updated in the control strategy library and used as a reference for parameter selection under the same or similar operating conditions, so that the system gradually approaches the optimal combination of control parameters during long-term operation.

[0043] The method provided in this application is also applicable to electrical equipment such as prefabricated transformer substations.

[0044] Therefore, this application adopts the above-mentioned humidity adaptive control method for electrical control cabinets. By integrating multi-point temperature and humidity data inside the cabinet, external environmental temperature and humidity data, and real-time operating power data of electrical components, a heat balance equation is established to predict temperature change trends and calculate the condensation risk index. The optimal dehumidification mode is adaptively selected according to the risk level, and the operating parameters are optimized by feedback based on the actual control effect, thereby achieving precise and efficient adaptive control of humidity in the electrical control cabinet.

[0045] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of this application and not to limit them. Although this application has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the technical solutions of this application, and these modifications or equivalent substitutions cannot cause the modified technical solutions to deviate from the spirit and scope of the technical solutions of this application.

Claims

1. A humidity adaptive control method for an electrical control cabinet, characterized in that, Includes the following steps: S1: Acquire temperature and relative humidity data from multiple monitoring points inside the electrical control cabinet, temperature and humidity data of the external environment of the electrical control cabinet, and real-time operating power data of electrical components inside the electrical control cabinet; S2: Calculate the real-time dew point temperature of each monitoring point, and based on the real-time operating power data of electrical components, establish a heat balance equation to predict the temperature change trend of each monitoring point within a preset time period in the future. S3: Calculate the condensation risk index for each monitoring point based on real-time dew point temperature, temperature change trend, and preset electrical component surface temperature data; The humidity risk level is determined by comparing the condensation risk index with preset multi-level risk thresholds. S4: Based on the humidity risk level, call the preset control strategy library to generate the corresponding humidity control command; The control strategy library includes: conventional monitoring mode, ventilation and dehumidification mode, heating and dehumidification mode, cooling and dehumidification mode, and desiccant-assisted dehumidification mode.

2. The humidity adaptive control method for an electrical control cabinet according to claim 1, characterized in that, The locations of the multiple monitoring points inside the electrical control cabinet include: the top, middle, and bottom of the electrical control cabinet, as well as near electrical components that generate a lot of heat; the locations for collecting the temperature and humidity data of the external environment of the electrical control cabinet are in a ventilated area at a preset distance from the electrical control cabinet.

3. The humidity adaptive control method for an electrical control cabinet according to claim 1, characterized in that, The real-time dew point temperature is calculated using the simplified Magnus formula, expressed as: ； in, , To monitor the temperature, For the relative humidity at the monitoring point, a and b This is a preset constant.

4. The humidity adaptive control method for an electrical control cabinet according to claim 3, characterized in that, The heat balance equation is a first-order thermal resistance-heat capacity network model, expressed as: ; in, This refers to the equivalent heat capacity inside the electrical control cabinet. For monitoring points at t Temperature at any moment The heat loss is caused by the real-time operating power of electrical components. The overall heat dissipation coefficient is determined by the thermal conductivity, surface area, and convective heat transfer coefficient of the cabinet material. Real-time temperature of the external environment.

5. The humidity adaptive control method for an electrical control cabinet according to claim 4, characterized in that, The condensation risk index is expressed as: ; in, To monitor the real-time dew point temperature; This refers to the surface temperature of the electrical component at the corresponding location. The preset safe temperature difference threshold; The rate of temperature change at the monitoring point obtained from the calculation of the heat balance equation; The relative humidity at the monitoring point; , , These are preset weighting coefficients.

6. The humidity adaptive control method for an electrical control cabinet according to claim 5, characterized in that, The multi-level risk thresholds include: safety level, warning level, and danger level; When the condensation risk index (CRI) at all monitoring points meets the condition that CRI < CRI th1 When the time comes, it is determined to be a safe level; When the condensation risk index (CRI) at at least one monitoring point meets the CRI th1 ≤CRI<CRI th2 When this occurs, it is classified as a warning level; When the condensation risk index (CRI) at at least one monitoring point satisfies CRI ≥ CRI th2 At that time, it was determined to be at a dangerous level; Among them, CRI th1 As the first risk threshold, CRI th2 As the second risk threshold, and CRI th2 >CRI th1 .

7. The humidity adaptive control method for an electrical control cabinet according to claim 6, characterized in that, Based on the humidity risk level, the system invokes a preset control strategy library to generate corresponding humidity control instructions, specifically including: When the humidity risk level is at the safe level, the normal monitoring mode shall be implemented; When the humidity risk level is at the warning level, the absolute humidity of the air outside the control cabinet is compared with that of the air inside the cabinet. If the outside humidity is lower than that inside the cabinet, a command to start the ventilation and dehumidification mode is generated; otherwise, a command to start the desiccant-assisted dehumidification mode is generated. When the humidity risk level is dangerous, based on the distribution of condensation risk index at each monitoring point, the heating dehumidification mode or cooling dehumidification mode is activated in the area where the monitoring point with the highest condensation risk index is located, and the ventilation dehumidification mode is activated simultaneously for auxiliary dehumidification.

8. The humidity adaptive control method for an electrical control cabinet according to claim 7, characterized in that, The desiccant-assisted dehumidification mode includes a dehumidification stage and a regeneration stage, specifically including: During the dehumidification phase, the air inside the control cabinet flows through the desiccant module; When the preset regeneration conditions are met, switch to the regeneration stage. The regeneration conditions include: the rate of humidity decrease in the cabinet is lower than the preset threshold, and the cumulative running time of the desiccant exceeds the preset duration. During the regeneration phase, the heating components are activated to heat the desiccant module, and the exhaust system is turned on to expel the hot and humid air outside the cabinet.

9. The humidity adaptive control method for an electrical control cabinet according to claim 1, characterized in that, It also includes controlling the operation of the corresponding dehumidification actuator according to the generated humidity control command, continuously acquiring the actual temperature and humidity data after control during operation, calculating the actual control effect index based on the actual temperature and humidity data, comparing the actual control effect index with the preset expected effect index, and obtaining the deviation value. Based on the deviation value, adjust the operating parameters of the corresponding mode in the control strategy library. The operating parameters include the start-up timing, running time, and operating power of the dehumidification actuator.

Images