A dew condensation prevention humidification control method and system based on dew point boundary and absolute humidity trend prediction, and a storage medium

Abstract

The present application relates to a dew prevention and humidification control method and system based on dew point boundary and absolute humidity trend prediction, which comprises: mapping and calculating the current relative humidity and the current temperature into the current absolute humidity; inversely mapping the predicted absolute humidity and the predicted temperature into the predicted relative humidity; calculating the final corrected predicted relative humidity based on the evaporation residual inertia model; generating a highest priority forced stop humidification instruction when the predicted dew point temperature reaches or exceeds the difference between the cold source surface temperature and the safety threshold; generating a power reduction instruction or a pulse humidification instruction in advance when the final predicted relative humidity approaches or reaches the target humidity value set by the user without generating the forced stop humidification instruction. The present application can realize precise anti-windup control considering human comfort and building safety by decoupling relative humidity into absolute humidity for linear prediction, combining dew point calculation and multi-dimensional cold source temperature perception.

Description

Technical Field

[0001] This invention belongs to the field of intelligent environmental control equipment technology, and particularly relates to an anti-condensation humidification control method, system and storage medium based on dew point boundary and absolute humidity trend prediction. Background Technology

[0002] Existing humidifier control methods mostly employ feedback control based on relative humidity (RH) thresholds. In recent years, some solutions have introduced environmental trend prediction technology, which calculates the rate of change of relative humidity (dRH / dt) to achieve advance adjustment.

[0003] However, existing trend prediction methods have significant physical limitations when applied to humidification equipment: 1) Ignoring the decoupling characteristics of temperature and humidity: Relative humidity (RH) is a function of air moisture content and temperature. If the indoor temperature drops during humidification (such as at night), the relative humidity will spike dramatically even if the actual moisture content in the air does not increase. Predicting based solely on relative humidity trends is prone to generating false signals, leading to inaccurate control.

[0004] 2) Ignoring the risk of condensation: If the humidification process is not restricted, when the indoor surface temperature is lower than the current ambient dew point temperature, severe condensation will occur on cold source surfaces such as windows and corners, leading to mold, dampness, or even damage to furniture. 3) The differences in physical inertia of humidification principles are ignored: The physical inertia of shutdown for different humidification principles (such as thermal evaporation, cold evaporation and ultrasound) are completely different, and the general inertia compensation model cannot achieve accurate "overshoot" control.

[0005] Therefore, there is an urgent need for an intelligent control method that can deeply integrate the physical laws of temperature and humidity coupling and has anti-condensation boundary constraints. Summary of the Invention

[0006] The purpose of this invention is to provide a method, system and storage medium for anti-condensation humidification control based on dew point boundary and absolute humidity trend prediction. It introduces physical conversion of absolute humidity, equipment evaporation inertia compensation and dew point boundary detection. By decoupling relative humidity into absolute humidity for linear prediction, and combining dew point calculation and multi-dimensional cold source temperature sensing, it achieves precise anti-overshoot control that takes into account both human comfort and building safety.

[0007] This invention provides a method for preventing condensation and controlling humidification based on dew point boundary and absolute humidity trend prediction, comprising: Step 1: Synchronously collect the current relative humidity and current temperature of the target environment, and construct an absolute humidity conversion model to map and calculate the current relative humidity and current temperature into the current absolute humidity; Step 2: Calculate the current absolute humidity change rate and the indoor temperature change rate respectively. Based on the current absolute humidity change rate and the indoor temperature change rate, predict the predicted absolute humidity and predicted temperature within the future time window respectively. Inversely map the predicted absolute humidity and the predicted temperature to the predicted relative humidity. Step 3: Calculate the corrected final predicted relative humidity based on the evaporation residual inertia model of the humidification equipment; Step 4: Based on the final predicted relative humidity and the predicted temperature, calculate the predicted dew point temperature of the environment in real time, obtain the surface temperature of the cold source in the environment, and generate a highest priority forced stop humidification command when the predicted dew point temperature reaches or exceeds the difference between the surface temperature of the cold source and the safety threshold. Step 5: If the forced stop humidification command is not generated, when the final predicted relative humidity approaches or reaches the target humidity value set by the user, generate a power reduction command or a pulse humidification command in advance so that the ambient humidity smoothly approaches the target humidity value.

[0008] Furthermore, the revised final predicted relative humidity calculation method includes: for cold evaporation humidifiers, introducing an inertial compensation value that includes the residual evaporation factor of the filter; for ultrasonic humidifiers, introducing an inertial compensation value that includes the spatial water mist diffusion delay time.

[0009] Furthermore, the surface temperature of the ambient cold source is obtained through any one or a combination of the following methods: The data from temperature sensors installed on the surface of the cold source are read through an IoT platform. The lowest indoor temperature is obtained by scanning with the infrared thermal imaging temperature measurement module built into the humidifier; The heat transfer coefficients of typical building structures are calculated using a passive estimation model based on indoor temperature, real-time outdoor temperature, and preset typical building structure heat transfer coefficients.

[0010] Furthermore, the absolute humidity conversion model is calculated based on the Magnus empirical formula to obtain the real-time saturated water vapor pressure, combined with the ideal gas law.

[0011] This invention also provides an anti-condensation humidification control system based on dew point boundary and absolute humidity trend prediction, comprising: The temperature and humidity acquisition and absolute humidity conversion module is used to simultaneously acquire the current relative humidity and current temperature of the target environment, and construct an absolute humidity conversion model to map and calculate the current relative humidity and current temperature into the current absolute humidity; The dual-line trend coupling prediction module is used to calculate the current absolute humidity change rate and the indoor temperature change rate respectively, and predict the predicted absolute humidity and predicted temperature within the future time window based on the current absolute humidity change rate and the indoor temperature change rate respectively, and inversely map the predicted absolute humidity and the predicted temperature to the predicted relative humidity. The equipment-differentiated inertia compensation module is used to calculate the corrected final predicted relative humidity based on the evaporation residual inertia model of the humidification equipment; The cold source temperature sensing and dew point determination module is used to calculate the predicted dew point temperature of the environment in real time based on the final predicted relative humidity and the predicted temperature, obtain the surface temperature of the cold source in the environment, and generate a high-priority forced stop humidification command when the predicted dew point temperature reaches or exceeds the difference between the surface temperature of the cold source and the safety threshold. The control decision and execution module is used to generate a power reduction command or a pulse humidification command in advance when the final predicted relative humidity is close to or reaches the target humidity value set by the user, in the absence of the forced stop humidification command, so as to make the ambient humidity smoothly approach the target humidity value.

[0012] The present invention also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the aforementioned anti-condensation humidification control method based on dew point boundary and absolute humidity trend prediction.

[0013] The above-described scheme, through the anti-condensation humidification control method, system, and storage medium based on dew point boundary and absolute humidity trend prediction, achieves the following technical effects: 1) Clear physical meaning, eliminating temperature and humidity coupling interference: Through absolute humidity conversion, independent monitoring and prediction of the actual water content in the air is achieved, avoiding false triggering of humidification prediction due to temperature fluctuations.

[0014] 2) Completely solve the persistent problem of condensation in humidifiers: It is the first to introduce dynamic dew point boundary prediction and multi-dimensional cold source temperature sensing, which unifies and balances "humidification efficiency" and "environmental safety".

[0015] 3) Achieved differentiated and precise inertial compensation: A customized inertial correction algorithm was provided to address the differences in physical characteristics between cold evaporation and ultrasonic equipment, which significantly improved the overshoot prevention accuracy of different product categories.

[0016] 4) Low-cost engineering implementation: The provided thermal resistance estimation algorithm based on indoor and outdoor temperature difference enables the equipment to achieve a highly forward-looking anti-condensation function without the need for additional infrared sensors.

[0017] The above description is merely an overview of the technical solution of the present invention. In order to more clearly understand the technical means of the present invention and implement it in accordance with the contents of the description, the preferred embodiments of the present invention are described in detail below with reference to the accompanying drawings. Description of Drawings

[0018] Figure 1 is a flow chart of the condensation-proof humidification control method based on dew point boundary and absolute humidity trend prediction of the present invention; Figure 2 is a flow chart of physical quantity decoupling conversion and condensation-proof control in an embodiment of the present invention; Figure 3 is a logical architecture diagram of the condensation-proof humidification control system based on dew point boundary and absolute humidity trend prediction in an embodiment of the present invention. Detailed Description of Embodiments

[0019] The specific embodiments of the present invention will be described in further detail below with reference to the accompanying drawings and examples. The following examples are used to illustrate the present invention but are not intended to limit the scope of the present invention.

[0020] Referring Figure 1 , this embodiment provides a condensation-proof humidification control method based on dew point boundary and absolute humidity trend prediction, comprising: Step S1, synchronously collecting the current relative humidity and current temperature of a target environment, constructing an absolute humidity conversion model, and mapping and calculating the current relative humidity and current temperature into current absolute humidity; Step S2, respectively calculating the current change rate of absolute humidity and the change rate of indoor temperature, predicting the predicted absolute humidity and predicted temperature within a future time window based on the current change rate of absolute humidity and the change rate of indoor temperature, and inversely mapping the predicted absolute humidity and the predicted temperature into predicted relative humidity; Step S3, calculating the corrected final predicted relative humidity based on an evaporation residual inertia model of humidification equipment; Step S4, calculating the predicted dew point temperature of the environment in real time based on the final predicted relative humidity and the predicted temperature, acquiring the surface temperature of the environmental cold source, and generating a highest-priority forced humidification stop instruction when the predicted dew point temperature reaches or exceeds the difference between the surface temperature of the cold source and a safety threshold; Step S5, in a case where the forced humidification stop instruction is not generated, when the final predicted relative humidity approaches or reaches the target humidity value set by a user, generating a power reduction instruction or a pulse humidification instruction in advance, so that the environmental humidity smoothly approaches the target humidity value.

[0021] In this embodiment, the calculation method for the corrected final predicted relative humidity comprises: for a cold evaporative humidifier, introducing an inertia compensation value including a residual evaporation factor of the filter screen; for an ultrasonic humidifier, introducing an inertia compensation value including the space water mist diffusion delay time.

[0022] In this embodiment, the surface temperature of the environmental cold source is obtained by any one or a combination of the following methods: Reading data of a temperature sensor installed on the surface of the cold source through an Internet of Things platform; Scanning to obtain the lowest indoor temperature through an infrared thermal imaging temperature measurement module carried by the humidifier; Calculating and obtaining the temperature through a passive estimation model based on indoor temperature, real-time outdoor temperature and a preset heat transfer coefficient of a typical building structure.

[0023] In this embodiment, the absolute humidity conversion model is obtained by calculating real-time saturated vapor pressure based on the Magnus empirical formula and combining with the ideal gas state equation for calculation.

[0024] Refer Figure 2 As shown in the figure, in a specific example, the anti-condensation humidification control method based on dew point boundary and absolute humidity trend prediction comprises: Step S1: Environmental data collection and physical quantity decoupling conversion Synchronously collect current relative humidity RH(t) and current temperature T(t) of a target environment.

[0025] Based on a saturated vapor pressure physical model (such as the Magnus empirical formula), map relative humidity and temperature to calculate absolute humidity AH(t) (unit ), so as to realize decoupled expression of environmental water content.

[0026] Step S2: Double-line trend coupling prediction of absolute humidity and temperature Calculate the absolute humidity change rate dAH / dt and the indoor temperature change rate dT / dt respectively.

[0027] Predict the future time window based on the above rate predicted absolute humidity within and predicted temperature .

[0028] Map and reversely to derive the predicted relative humidity corresponding to the time .

[0029] Step S3: Evaporation inertia compensation differentiated by humidification equipment types Establish a dynamic inertia model for different humidification principles.

[0030] If the device is a cold evaporation humidifier, introduce a "filter residual evaporation factor" to calculate the humidity increment caused by natural evaporation of the wet filter after the fan stops; obtain the corrected final predicted relative humidity .

[0031] Step S4: Dew point boundary prediction and mandatory safety constraint Based on and , calculate the dew point temperature in the predicted state in real time .

[0032] Obtain the surface temperature of the environmental cold source through IoT linkage, infrared remote sensing or thermal resistance estimation based on indoor-outdoor temperature difference .

[0033] Execute the mandatory anti-condensation constraint judgment: if (wherein is a safety threshold), trigger the highest-priority control instruction to forcibly reduce or stop humidification output, so as to completely eliminate condensation.

[0034] Step S5: Conventional anti-overshoot decision-making and smooth control On the premise that the dew point boundary is not touched, continuously compare and the target relative humidity set by the user . When approaches or reaches , generate power reduction or pulse humidification instructions in advance, so that the environmental humidity smoothly approaches the target value.

[0035] Refer to Figure 3 , an anti-condensation humidification control system based on dew point boundary and absolute humidity trend prediction, comprising:[the] a temperature and humidity acquisition and absolute humidity conversion module, configured to synchronously acquire current relative humidity and current temperature of a target environment, construct an absolute humidity conversion model, and map and calculate the current relative humidity and current temperature into current absolute humidity; a dual-line trend coupling prediction module, configured to respectively calculate a current absolute humidity change rate and an indoor temperature change rate, respectively predict a predicted absolute humidity and a predicted temperature within a future time window based on the current absolute humidity change rate and the indoor temperature change rate, and reversely map the predicted absolute humidity and the predicted temperature into predicted relative humidity; a device differentiated inertia compensation module, configured to calculate a corrected final predicted relative humidity based on an evaporation residual inertia model of a humidification device; The cold source temperature sensing and dew point determination module is used to calculate the predicted dew point temperature of the environment in real time based on the final predicted relative humidity and the predicted temperature, obtain the surface temperature of the cold source in the environment, and generate a high-priority forced stop humidification command when the predicted dew point temperature reaches or exceeds the difference between the surface temperature of the cold source and the safety threshold. The control decision and execution module is used to generate a power reduction command or a pulse humidification command in advance when the final predicted relative humidity is close to or reaches the target humidity value set by the user, in the absence of the forced stop humidification command, so as to make the ambient humidity smoothly approach the target humidity value.

[0036] The present invention also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the aforementioned anti-condensation humidification control method based on dew point boundary and absolute humidity trend prediction.

[0037] Example 1: Accurate prediction of absolute humidity in variable temperature scenarios Scenario: Indoors in winter. The humidifier is running while the radiators stop providing heating, causing the room temperature to drop from 22°C to 18°C.

[0038] Traditional approach: Due to the drop in temperature, the relative humidity is artificially high. Traditional forecasts may misjudge the humidity as "rapidly rising" and shut off the system in advance, resulting in insufficient actual indoor moisture.

[0039] This invention: The system first converts the data into absolute humidity (AH). Calculations show that dAH / dt is increasing normally, while dT / dt is negative. The prediction model combines both to find that although the relative humidity value is rising, the actual water content is not excessive.

[0040] Control execution: The system maintains humidification output until the predicted absolute moisture content reaches the target, ensuring the effectiveness of humidification.

[0041] Example 2: Anti-condensation boundary protection based on cold resistance estimation Scenario: Indoor temperature 20℃, humidifier set to 55%. Outdoor temperature extremely cold (-15℃).

[0042] The system uses the thermal resistance estimation formula: The temperature of the inner surface of the window glass was calculated. It is approximately 9.5℃.

[0043] Calculations show that if humidification continues to reach the target of 60%, the corresponding dew point temperature will be... When the temperature reaches 11°C, water will inevitably flow from the windows.

[0044] Control Execution: The system triggers the highest priority control, forcibly shutting down when the relative humidity reaches 52%, and pushing an alarm to the mobile APP to protect the building from condensation damage.

[0045] The present invention has the following technical effects: 1) Clear physical meaning, eliminating temperature and humidity coupling interference: Through absolute humidity conversion, independent monitoring and prediction of the actual water content in the air is achieved, avoiding false triggering of humidification prediction due to temperature fluctuations.

[0046] 2) Completely solve the persistent problem of condensation in humidifiers: It is the first to introduce dynamic dew point boundary prediction and multi-dimensional cold source temperature sensing, which unifies and balances "humidification efficiency" and "environmental safety".

[0047] 3) Achieved differentiated and precise inertial compensation: A customized inertial correction algorithm was provided to address the differences in physical characteristics between cold evaporation and ultrasonic equipment, which significantly improved the overshoot prevention accuracy of different product categories.

[0048] 4) Low-cost engineering implementation: The provided thermal resistance estimation algorithm based on indoor and outdoor temperature difference enables the equipment to achieve a highly forward-looking anti-condensation function without the need for additional infrared sensors.

[0049] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the technical principles of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. A humidification control method for preventing condensation based on dew point boundary and absolute humidity trend prediction, characterized in that, include: Step 1: Synchronously collect the current relative humidity and current temperature of the target environment, and construct an absolute humidity conversion model to map and calculate the current relative humidity and current temperature into the current absolute humidity; Step 2: Calculate the current absolute humidity change rate and the indoor temperature change rate respectively. Based on the current absolute humidity change rate and the indoor temperature change rate, predict the predicted absolute humidity and predicted temperature within the future time window respectively. Inversely map the predicted absolute humidity and the predicted temperature to the predicted relative humidity. Step 3: Calculate the corrected final predicted relative humidity based on the evaporation residual inertia model of the humidification equipment; Step 4: Based on the final predicted relative humidity and the predicted temperature, calculate the predicted dew point temperature of the environment in real time, obtain the surface temperature of the cold source in the environment, and generate a highest priority forced stop humidification command when the predicted dew point temperature reaches or exceeds the difference between the surface temperature of the cold source and the safety threshold. Step 5: If the forced stop humidification command is not generated, when the final predicted relative humidity approaches or reaches the target humidity value set by the user, generate a power reduction command or a pulse humidification command in advance so that the ambient humidity smoothly approaches the target humidity value.

2. The anti-condensation humidification control method based on dew point boundary and absolute humidity trend prediction according to claim 1, characterized in that, The revised final predicted relative humidity calculation method includes: for cold evaporative humidifiers, introducing an inertial compensation value that includes the residual evaporation factor of the filter; for ultrasonic humidifiers, introducing an inertial compensation value that includes the spatial water mist diffusion delay time.

3. The anti-condensation humidification control method based on dew point boundary and absolute humidity trend prediction according to claim 1, characterized in that, The surface temperature of the ambient cold source is obtained through any one or a combination of the following methods: The data from temperature sensors installed on the surface of the cold source are read through an IoT platform. The lowest indoor temperature is obtained by scanning with the infrared thermal imaging temperature measurement module built into the humidifier; The heat transfer coefficients of typical building structures are calculated using a passive estimation model based on indoor temperature, real-time outdoor temperature, and preset typical building structure heat transfer coefficients.

4. The anti-condensation humidification control method based on dew point boundary and absolute humidity trend prediction according to claim 1, characterized in that, The absolute humidity conversion model is based on the Magnus empirical formula to calculate the real-time saturated water vapor pressure, and is obtained by combining the ideal gas law.

5. A humidification control system for preventing condensation based on dew point boundary and absolute humidity trend prediction, characterized in that, include: The temperature and humidity acquisition and absolute humidity conversion module is used to simultaneously acquire the current relative humidity and current temperature of the target environment, and construct an absolute humidity conversion model to map and calculate the current relative humidity and current temperature into the current absolute humidity; The dual-line trend coupling prediction module is used to calculate the current absolute humidity change rate and the indoor temperature change rate respectively, and predict the predicted absolute humidity and predicted temperature within the future time window based on the current absolute humidity change rate and the indoor temperature change rate respectively, and inversely map the predicted absolute humidity and the predicted temperature to the predicted relative humidity. The equipment-differentiated inertia compensation module is used to calculate the corrected final predicted relative humidity based on the evaporation residual inertia model of the humidification equipment; The cold source temperature sensing and dew point determination module is used to calculate the predicted dew point temperature of the environment in real time based on the final predicted relative humidity and the predicted temperature, obtain the surface temperature of the cold source in the environment, and generate a high-priority forced stop humidification command when the predicted dew point temperature reaches or exceeds the difference between the surface temperature of the cold source and the safety threshold. The control decision and execution module is used to generate a power reduction command or a pulse humidification command in advance when the final predicted relative humidity is close to or reaches the target humidity value set by the user, in the absence of the forced stop humidification command, so as to make the ambient humidity smoothly approach the target humidity value.

6. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the program is executed by the processor, it implements the anti-condensation humidification control method based on dew point boundary and absolute humidity trend prediction as described in any one of claims 1 to 4.

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