A direct drinking air water making system, control method and control device

Abstract

This invention relates to the field of air-to-water technology, specifically to a direct-drinking air-to-water system, control method, and control device. This invention determines the water input priority by analyzing the temperature and humidity suitability factors and air filtration resistance of the input air to the air-to-water device. It then analyzes the water level performance in the water tank to determine the airflow urgency coefficient. Simultaneously, it analyzes the peak water consumption response based on historical water consumption changes and performs a matching analysis of the condensing efficiency of the downstream condenser compressor to determine the system's inefficient operation risk coefficient. Furthermore, it analyzes the water production airflow demand index in conjunction with the airflow urgency coefficient and the system inefficient operation risk coefficient, and controls the airflow of the built-in fan in the direct-drinking air device. This invention comprehensively analyzes the airflow demand index by considering the environmental performance at the water input end and the dynamic analysis of the downstream condensing, water storage, and water consumption conditions, ensuring a high degree of adaptation between airflow control and actual airflow demand, thereby improving the water production control efficiency of the direct-drinking air-to-water device.

Description

Technical Field

[0001] This invention relates to the field of air-to-water technology, specifically to a direct-drinking air-to-water system, control method, and control device. Background Technology

[0002] Direct-drinking air-to-water technology is a new type of drinking water technology that requires no external water source. It converts water vapor in the air into drinking water that meets direct-drinking standards through processes such as air extraction, filtration and purification, condensation, and advanced treatment. Its core principle is to simulate the natural rainfall process, where water vapor condenses upon cooling, achieving controllable and efficient water production.

[0003] When a direct-drinking air-to-water generator is in operation, the machine draws in ambient air through a built-in fan and performs subsequent processes such as filtration, condensation, re-filtration, and water storage on the drawn-in air. The fan airflow directly determines the input raw material content of the water generator, thus affecting the air-to-water efficiency. Traditionally, a preset fixed fan airflow value is often used for air-to-water equipment.

[0004] However, in real-world scenarios, the water production environment of air-to-water generators varies at different times, leading to different impacts on the water production process. For example, when the temperature and humidity are suitable and the air particle size is low, the fan airflow can be appropriately increased to improve water input. Therefore, using the traditional preset fixed airflow method will result in poor control. At the same time, the downstream operating conditions of the water generator differ at different times after the airflow input. For example, during peak water usage periods, when the water generator performs well in real-time air condensation, the demand for fan airflow is higher, requiring the upstream and downstream operating conditions to be matched. This further reduces the adaptability of the traditional preset fixed value, thereby reducing the water production efficiency of direct-drinking air-to-water generators. Summary of the Invention

[0005] In order to solve the above technical problems, the purpose of this invention is to provide a direct drinking air-to-water system, a control method and a control device.

[0006] According to a first aspect of the embodiments of this application, a direct-drinking air-to-water generation control method is provided, and the specific technical solution adopted is as follows: Real-time data collection of temperature, humidity, dust concentration, water storage level, historical water consumption, condensing pressure, and condensate production; The real-time temperature and humidity suitability factor of the air-to-water generator is analyzed based on the temperature and humidity, and the real-time air filtration resistance of the air-to-water generator is analyzed based on the dust particle concentration to determine the real-time water production input priority of the air-to-water generator. Based on the water storage level and the water production input priority, the real-time air volume urgency coefficient of the air-to-water generator is determined. Based on the historical water consumption, obtain the historical daily water consumption reference factor to determine the real-time peak water consumption response of the air-to-water generator. Based on the condensation pressure and the condensate output, combined with the peak water consumption response, the real-time system inefficiency risk coefficient of the air-to-water generator is determined. Based on the air volume urgency coefficient and the system inefficient operation risk coefficient, the real-time air volume demand index of the air-to-water equipment is determined, and the fan speed is adjusted accordingly.

[0007] In some embodiments of the present invention, analyzing the real-time temperature and humidity suitability factor of the air-to-water generator based on the temperature and humidity includes: Based on the temperature and humidity, extract the maximum temperature and maximum humidity values ​​during the historical operation of the air-to-water device; By analyzing the ratio between the current temperature and the maximum temperature, the real-time high temperature trend of the air-to-water generator can be obtained. By analyzing the ratio between the current humidity and the maximum humidity value, the real-time high humidity trend of the air-to-water generator can be obtained. Based on the degree of high temperature tendency and the degree of high humidity tendency, the real-time temperature and humidity suitability factor of the air-to-water device is determined.

[0008] In some embodiments of the present invention, analyzing the real-time air filtration resistance of the air-to-water device based on the dust particle concentration includes: Based on the dust particle concentration, calculate the average dust particle concentration during the historical operation of the air-to-water equipment; Analyze the difference between the current dust particle concentration and the average dust particle concentration to determine the real-time air filtration resistance of the air-to-water device.

[0009] In some embodiments of the present invention, the real-time airflow urgency coefficient of the air-to-water generator is determined based on the water storage level and the water production input priority, including: Obtain the rated water level of the water storage tank; By analyzing the difference between the current water level and the rated water level, the real-time water level of the air-to-water generator is obtained. Based on the water level and the water input priority, the real-time airflow urgency coefficient of the air-to-water generator is determined.

[0010] In some embodiments of the present invention, obtaining a historical daily water consumption reference factor based on the historical water consumption includes: The historical water consumption data for each day is segmented into segments based on the number of days. Determine the historical time corresponding to the current moment within each historical day, and record it as the water usage reference time within that historical day; Extract the historical water consumption at the reference time for each historical day and record it as the historical reference water consumption for that day. For each historical day, the historical reference water consumption is compared with the total water consumption of the corresponding historical day to obtain the historical daily water consumption reference factor.

[0011] In some embodiments of the present invention, determining the real-time peak water usage response of the air-to-water generator includes: Calculate the mean and standard deviation of the water use reference factor corresponding to the current moment across all historical days to determine the real-time peak water use responsiveness of the air-to-water generator.

[0012] In some embodiments of the present invention, the real-time system inefficiency risk coefficient of the air-to-water generator is determined based on the condensation pressure and the condensate output, combined with the peak water consumption response, including: Based on the condensation pressure and the condensate output, extract the minimum condensation pressure and minimum condensate output during the historical operation of the air-to-water generator; By analyzing the ratio between the current condensing pressure and the minimum condensing pressure, the real-time condensing pressure factor of the air-to-water generator is obtained. By analyzing the ratio between the current condensate output and the minimum condensate output, the real-time condensate output factor of the air-to-water generator is obtained. Based on the condensation pressure factor and the condensate production factor, combined with the peak water consumption response, the real-time system inefficiency risk coefficient of the air-to-water generator is determined.

[0013] In some embodiments of the present invention, regulating the fan speed includes: Based on the air volume demand index, combined with the rated air volume and minimum operating air volume of the built-in fan of the air-to-water equipment, the recommended real-time fan air volume value of the air-to-water equipment is obtained, thereby realizing the regulation of the fan speed.

[0014] According to a second aspect of the embodiments of this application, a direct-drinking air-to-water system is provided, the system comprising a memory and a processor, wherein: The memory is used to store program code; The processor is configured to read program code stored in the memory and execute the control method as described in any one of the first aspects of the embodiments of this application.

[0015] According to a third aspect of the embodiments of this application, a direct-drinking air-to-water conversion control device is provided, the control device comprising: The data acquisition module is used to collect data on temperature, humidity, dust concentration, water storage level, historical water consumption, condensation pressure, and condensate production in real time. The air volume urgency coefficient analysis module is used to analyze the real-time temperature and humidity suitability factor of the air-to-water generator based on the temperature and humidity, and to analyze the real-time air filtration resistance of the air-to-water generator based on the dust particle concentration, thereby determining the real-time water production input priority of the air-to-water generator; and to determine the real-time air volume urgency coefficient of the air-to-water generator based on the water storage level and the water production input priority. The system inefficient operation risk coefficient analysis module is used to obtain the historical daily water consumption reference factor based on the historical water consumption, determine the real-time water consumption peak response of the air-to-water generator; and determine the real-time system inefficient operation risk coefficient of the air-to-water generator based on the condensing pressure and the condensate output, combined with the water consumption peak response. The air volume demand index acquisition module is used to determine the real-time air volume demand index of the air-to-water equipment based on the air volume urgency coefficient and the system inefficient operation risk coefficient, and to adjust the fan speed.

[0016] Compared with existing technologies, the direct-drinking air-to-water system, control method, and control device provided by this invention have the following beneficial effects: This invention first analyzes the real-time temperature and humidity suitability factors of the input air to the air-to-water generator based on the temperature and humidity suitability of the environment near the air-to-water generator. Then, based on the real-time dust particle concentration of the input air, it analyzes the real-time air filtration resistance of the air-to-water generator. Finally, it combines the temperature and humidity suitability factors and the air filtration resistance for synergistic analysis to obtain the water production input priority. Next, it analyzes the real-time water level in the water tank of the air-to-water generator and, combined with the water production input priority, obtains the real-time airflow urgency coefficient. Simultaneously, it analyzes historical water consumption changes to obtain the real-time water consumption peak response. Based on the water consumption peak response, it performs a matching analysis of the real-time condensing efficiency of the downstream condenser compressor to obtain the real-time system inefficiency operation risk coefficient of the air-to-water generator. Then, it combines the airflow urgency coefficient and the system inefficiency operation risk coefficient to obtain the real-time water production airflow demand index of the air-to-water generator. Finally, based on the real-time water production airflow demand index of the air-to-water generator, it controls the airflow of the built-in fan of the direct-drinking air device. This invention dynamically analyzes the air volume demand index of the air-to-water generator by comprehensively considering the environmental performance at the water input end and the back-end condensation, water storage, and water usage conditions, thereby obtaining more accurate air volume control results for the water-generating fan and improving the water production control efficiency of the direct-drinking air-to-water generator. Attached Figure Description

[0017] To more clearly illustrate the technical solutions and advantages 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.

[0018] Figure 1 A schematic diagram of the basic process of a direct-drinking air-to-water control method provided in an embodiment of the present invention; Figure 2 This is a schematic diagram of the basic components of a direct-drinking air-to-water control device provided in one embodiment of the present invention. Detailed Implementation

[0019] To further illustrate the technical means and effects adopted by the present invention to achieve its intended purpose, the following, in conjunction with the accompanying drawings and preferred embodiments, details the specific implementation, structure, features, and effects of a direct-drinking air-to-water system, control method, and control device proposed according to the present invention. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. Furthermore, specific features, structures, or characteristics in one or more embodiments can be combined in any suitable form.

[0020] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains. Terms such as “comprising,” “including,” or any other variations thereof are intended to cover a non-exclusive inclusion, such that a circuit structure, article, or system comprising a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such an article or system. Without further limitation, an element defined by the phrase “comprising one…” does not exclude the presence of other identical elements in the article or system that includes the element.

[0021] This invention addresses the scenario of a direct-drinking air-to-water generator that extracts water from the air and makes it drinkable. The core units of the generator are a fan, a filtration system, a condenser compressor, and a storage system. During operation, the built-in fan draws in ambient air, which is then initially purified by the filtration system. The condenser compressor then condenses the purified air to produce initial condensate. This condensate undergoes a second filtration through the filtration system to produce pure, drinkable water, which is then stored in the storage system. In traditional water purification operations, the airflow of the built-in fan is often set to a preset fixed value, resulting in low accuracy in the water production process.

[0022] Therefore, the purpose of this invention is to obtain a more accurate water-making fan airflow control result by combining the environmental performance of the water input end in actual scenarios with the analysis of the back-end condensation, water storage, and water use conditions.

[0023] The specific scheme of the direct-drinking air-to-water control method provided by the present invention will be described in detail below with reference to the accompanying drawings.

[0024] Please see Figure 1 This illustrates the basic flow of a direct-drinking air-to-water control method provided by an embodiment of the present invention.

[0025] like Figure 1 As shown, an embodiment of the present invention provides a direct-drinking air-to-water control method, which specifically includes: S100: Real-time acquisition of temperature, humidity, dust concentration, water storage level, historical water consumption, condensing pressure, and condensate production data.

[0026] To achieve more accurate control of the airflow of the water-generating fan, data acquisition is first required. Therefore, in this embodiment of the invention, real-time data on temperature, humidity, dust concentration, water level, historical water consumption, condensing pressure, and condensate production are collected. Specifically, the implementation involves: real-time reading of temperature and humidity data of the environment near the air-to-water generator using a temperature and humidity sensor module; real-time reading of dust concentration data of the airflow introduced by the air-to-water generator using a dust concentration sensor module; real-time reading of water level data of the air-to-water generator using a water tank storage module; real-time reading of historical water consumption data of the air-to-water generator using a historical water consumption record module; and real-time reading of condensing pressure and condensate production data using a condensing parameter storage module. The collected data undergoes data cleaning and preprocessing, including removing high-frequency noise from sensors using a median filtering algorithm and eliminating transient abnormal sampling values ​​caused by interference using an amplitude limiting filter method, ensuring the stability of the input data for subsequent calculations of the airflow urgency coefficient and risk coefficient.

[0027] S200: Analyzes the real-time temperature and humidity suitability factors of the air-to-water generator based on temperature and humidity, and analyzes the real-time air filtration resistance of the air-to-water generator based on particle concentration, to determine the real-time water production input optimization of the air-to-water generator.

[0028] The material source for direct-drinking air-to-water equipment is the ambient air near the equipment. However, different ambient air has different temperature and humidity characteristics, which affects the ease of generating pure water and thus the required amount of airflow for the air-to-water equipment. In addition, there may be situations where the ambient temperature and humidity are excellent, but the concentration of dust particles in the air is high. In such cases, the intake of air with a high concentration of dust particles will increase the filtration difficulty of the filtration system. Therefore, in order to ensure sufficient dust particle filtration, it is necessary to conduct auxiliary analysis on high dust particle concentration situations.

[0029] Based on the above analysis, in the embodiments of the present invention, the real-time temperature and humidity suitability factor of the air-to-water generator is analyzed based on temperature and humidity, and the real-time air filtration resistance of the air-to-water generator is analyzed based on dust particle concentration to determine the real-time water production input priority of the air-to-water generator. Wherein: First, the air-to-water conversion process requires a fan to draw in ambient air as raw material, which is then converted into liquid by a subsequent condenser compressor. When the ambient temperature is low, the temperature difference between the condenser and the environment narrows, causing a significant decrease in the water vapor condensation rate. Conversely, when the ambient temperature is high, the water vapor content in the air increases significantly. In this case, the condenser only needs to slightly cool down to reach the dew point, resulting in a substantial increase in the condensation rate of the input air. Furthermore, when the environment is in a high-humidity state, it further indicates a sufficient water vapor content in the air. When this abundant, high-humidity air passes through the condensation system, the water vapor rapidly condenses upon cooling, forming a large amount of liquid water, further increasing the condensation rate of the input air.

[0030] Therefore, the analysis of the real-time temperature and humidity suitability factor of the air-to-water generator based on temperature and humidity further includes: extracting the maximum temperature and humidity values ​​from the historical operation of the air-to-water generator, i.e., determining the maximum ambient temperature and humidity values ​​within a preset time period (e.g., a sliding window of 30 days) prior to the current moment; analyzing the ratio between the current temperature and the maximum temperature value, i.e., calculating the ratio of the ambient temperature near the air-to-water generator to the maximum temperature value to obtain the real-time high temperature trend of the air-to-water generator; analyzing the ratio between the current humidity and the maximum humidity value, i.e., calculating the ratio of the ambient humidity near the air-to-water generator to the maximum humidity value to obtain the real-time high humidity trend of the air-to-water generator; and determining the real-time temperature and humidity suitability factor of the air-to-water generator based on the degree of high temperature and high humidity trend. Specifically, the formula for calculating the real-time temperature and humidity suitability factor of the air-to-water generator is as follows: In the formula, This indicates the real-time temperature and humidity suitability factor for the air-to-water generator; This indicates the temperature of the environment near the air-to-water generator at the current moment (using Kelvin (K) absolute temperature). This indicates the maximum ambient temperature near the air-to-water generator during its historical operation (using Kelvin (K) absolute temperature). This indicates the humidity level of the environment near the air-to-water generator at the current moment. This indicates the maximum humidity level in the vicinity of the air-to-water generator during its historical operation. and Both represent denominator correction parameters, with the same dimensions as the denominator, and their values ​​are local minima greater than 0. and This is to prevent the denominator from being 0; for example, it can be set... , This can prevent the denominator from being 0 without significantly interfering with the calculation of normal values.

[0031] This indicates the real-time temperature trend of the air-to-water generator. The larger the value, the greater the tendency of the current air temperature to be high; This indicates the real-time humidity level of the air-to-water generator. The higher the value, the greater the tendency of the current air humidity to be high; the more significant the real-time high temperature and high humidity trend of the air near the air-to-water device, the stronger the real-time suitability of the environment of the air-to-water device.

[0032] In addition, there may be floating particles and dust in the air near the air-to-water equipment. The concentration of dust particles will affect the demand for water production air volume. If the air-to-water equipment fan draws in a large amount of ambient air with high dust particle concentration, it will consume a large amount of air filtration resources of the water production filtration system and the air filtration resistance will increase significantly. This may reduce the air filtration accuracy. Therefore, it is necessary to analyze the dust particle concentration level of the air being produced.

[0033] Therefore, analyzing the real-time air filtration resistance of the air-to-water generator based on particle concentration further includes: calculating the average particle concentration of the air near the historical operating location of the air-to-water generator; analyzing the difference between the current particle concentration and the average particle concentration to determine the real-time air filtration resistance of the air-to-water generator. Specifically, the formula for calculating the real-time air filtration resistance of the air-to-water generator is as follows: In the formula, This indicates the real-time air filtration resistance of the air-to-water generator; This indicates the current concentration of dust particles in the air near the air-to-water generator; This represents the average dust particle concentration in the air near the air-to-water generator during its historical operation. This represents a linear normalization function, such as a max-min normalization function, used to normalize air filter drag to a certain value. Within the range, the maximum value in the maximum-minimum normalization function is the preset upper limit of the range, which is set based on the maximum air filter resistance that appears in historical data of a historical set period (such as 30 days prior).

[0034] If the concentration of dust particles in the air near the air-to-water generator is higher at the current moment, it indicates a stronger filtration resistance of the input air to the air-to-water generator's filtration system, and thus a greater need to reduce the fan speed.

[0035] Finally, based on the real-time temperature and humidity suitability factor and air filtration resistance of the air-to-water generator, the real-time water production input optimization of the air-to-water generator is determined. Specifically, if the current real-time temperature and humidity suitability factor of the air-to-water generator... The larger the air filtration resistance, the better. The smaller the value, the better the air quality in the environment where the air-to-water generator is located, indicating that the water production conditions are more favorable. This, in turn, reflects a higher demand for water production air volume. Therefore, the formula for calculating the real-time water production input superiority of the air-to-water generator is: In the formula, This indicates the real-time water production input priority of the air-to-water generator; This indicates the real-time temperature and humidity suitability factor for the air-to-water generator; This indicates the real-time air filtration resistance of the air-to-water generator; This represents a linear normalization function, such as a max-min normalization function, used to normalize the water production input dominance to... Within the range, the maximum value in the maximum-minimum normalization function is the preset upper limit of the range, which is set according to the maximum water production input optimization parameter that appears in the historical data of the historical set period (such as 30 days prior).

[0036] S300: Based on the water storage level and the water input priority, determine the real-time air volume urgency coefficient of the air-to-water generator.

[0037] Considering the varying water demands at different air-to-water generators, if historical water usage records indicate a high probability of peak demand at the current historical time (the same point in the historical timeframe), then the current water demand is higher. Furthermore, the purified water output from the air-to-water generator is stored in a tank, reflected in real-time water levels. Therefore, a lower current water level, especially if the current time is closer to a peak water demand period, indicates a higher urgency for increasing the airflow from the water-generating fan. Additionally, the input and initially filtered air needs to be condensed by a compressor to change from a gaseous to a liquid state. Therefore, the airflow from the front-end fan must match the condensing efficiency of the back-end compressor. If the compressor's condensing efficiency is low, the fan flow rate can be appropriately reduced.

[0038] Step S200 only analyzes the front-end of water production based on the ambient air quality where the air-to-water equipment is located, and further matching analysis is needed by combining the back-end operating conditions of water production.

[0039] The purified water after gas-liquid conversion is output and stored in the equipment's water tank for water source application. When the water level in the water tank is poor, the water production rate should be appropriately increased, which makes the demand for water production air volume more urgent.

[0040] Based on the above analysis, in the embodiments of the present invention, the real-time airflow urgency coefficient of the air-to-water generator is determined according to the water storage level and the water production input priority. Further steps include: obtaining the rated water storage level of the water tank; analyzing the difference between the current water storage level and the rated water storage level, i.e., calculating the difference between the rated water storage level and the current water storage level, and mapping the difference to -1 to +1 using a hyperbolic tangent function to obtain the real-time water level of the air-to-water generator; and determining the real-time airflow urgency coefficient of the air-to-water generator based on the water level and the water production input priority. Specifically, the formula for calculating the real-time airflow urgency coefficient of the air-to-water generator is as follows: In the formula, This indicates the real-time airflow urgency coefficient of the air-to-water generator; This indicates the rated water level in the water tank of the air-to-water generator; This indicates the current water level in the water tank of the air-to-water generator. This represents the hyperbolic tangent function, used to convert input values... Mapped to -1 to +1; This indicates the real-time water production input priority of the air-to-water generator.

[0041] If the water level in the water tank of the air-to-water generator is lower at the current moment, that is... The smaller, The larger the value, and the better the water production input of the air-to-water generator at the current moment. The larger the value, the greater the urgency for the water-producing fan's air volume at that moment.

[0042] S400: Based on historical water consumption, obtain historical daily water consumption reference factors to determine the real-time peak water consumption response of the air-to-water generator.

[0043] The purified water output and stored by the air-to-water generator is transmitted to the user end. The water demand at the user end varies at different times, which in turn affects the air volume demand of the air-to-water generator. If the historical water usage information at the user end indicates that the current time is likely to be a peak water usage period, then the air volume demand for water from the air-to-water generator will be higher at this time. Therefore, the accuracy of reflecting the water production air volume demand based solely on the air volume urgency coefficient is insufficient, and it is necessary to combine it with water usage prediction performance for analysis.

[0044] Based on the above analysis, in the embodiments of the present invention, historical daily water consumption reference factors are obtained according to historical water consumption to determine the real-time peak water consumption response of the air-to-water generator. Further, it includes: First, based on historical water consumption, obtain the water consumption reference factor for each historical day. Specifically, obtain the time-series water consumption information of the air-to-water generator within a historical single month, and segment the continuous time-series data of historical water consumption for each historical day (each day within a single month) on a daily basis. Within each historical day, determine the historical moment corresponding to the current moment and record it as the water consumption reference moment for that historical day. Extract the historical water consumption at the water consumption reference moment for each historical day (the average water consumption within a time window centered on the historical reference moment and with a preset duration (e.g., 30 minutes) as the radius) and record it as the historical reference water consumption for that historical day. Within each historical day, compare the historical reference water consumption with the total water consumption of the corresponding historical day to obtain the water consumption reference factor for that historical day.

[0045] Then, based on the water usage reference factor, the real-time peak water usage responsiveness of the air-to-water generator is determined. Specifically, the mean and standard deviation of the water usage reference factor corresponding to the current moment across all historical days (all days within a single month) are calculated to determine the real-time peak water usage responsiveness of the air-to-water generator as follows: In the formula, This indicates the real-time peak water usage response of the air-to-water generator; It represents the standard deviation of the water use reference factor at the current moment across all historical days (all days within a single month); This represents the average water usage reference factor at the current moment across all historical days (including all days within a single month). This represents the denominator correction parameter, which has the same dimensions as the denominator and takes the smallest value greater than 0. This is to prevent the denominator from being 0; for example, it can be set... This can prevent the denominator from being 0 without significantly interfering with the calculation of normal values. This represents a linear normalization function, such as a max-min normalization function, used to normalize the peak water use response to... Within the range, the maximum value in the maximum-minimum normalization function is the preset upper limit of the range, which is set based on the maximum water consumption peak value reflected in historical data of the historical set period (such as 30 days prior).

[0046] If the relative water consumption at the current moment of the air-to-water generator corresponds to the greater the water consumption over each historical day ( The larger the value, the more regular the water usage at that time on each day (the greater the value). The smaller the value, the more likely the current moment is a peak water usage period.

[0047] S500: Based on the condensing pressure and condensate output, combined with the peak water consumption response, determine the real-time system inefficiency risk coefficient of the air-to-water generator.

[0048] The incoming air, after being drawn in and filtered by the fan, needs to be condensed by the built-in compressor to change the air from a gaseous state to a liquid state. Therefore, the air intake volume must match the condensation efficiency. If the air intake volume of the air-to-water generator is too high, and the compressor's condensation performance is poor, the air intake volume should be appropriately reduced. The compressor essentially regulates the refrigerant pressure through condensation pressure. Higher condensation pressure leads to higher condensation temperature and lower condensate production; that is, condensation pressure and condensate production are negatively correlated. Therefore, if the compressor's condensation pressure is low, and the condensate production remains low, this indicates that the compressor's condensation efficiency is too low. The fan's air intake volume should be immediately reduced to prioritize regulating the compressor's condensation pressure and improve condensation efficiency.

[0049] Based on the above analysis, in the embodiments of the present invention, the real-time system inefficiency operation risk coefficient of the air-to-water generator is determined according to the condensing pressure and condensate output, combined with the peak water usage response. Further steps include: First, extracting the minimum condensing pressure and minimum condensate output from the historical operation of the air-to-water generator based on the condensing pressure and condensate output, i.e., determining the minimum condensing pressure and minimum condensate output within a pre-defined time period (e.g., a sliding window of 30 days) prior to the current moment; then, analyzing the ratio between the current condensing pressure and the minimum condensing pressure, i.e., calculating the ratio of the minimum condensing pressure to the condensing pressure, to obtain the real-time condensing pressure factor of the air-to-water generator; simultaneously, analyzing the ratio between the current condensate output and the minimum condensate output, i.e., calculating the ratio of the minimum condensate output to the condensate output, to obtain the real-time condensate output factor of the air-to-water generator; finally, determining the real-time system inefficiency operation risk coefficient of the air-to-water generator based on the condensing pressure factor and the condensate output factor, combined with the peak water usage response. Specifically, the calculation formula for the real-time system inefficiency operation risk coefficient of the air-to-water generator is as follows: In the formula, This indicates the real-time risk coefficient of inefficient operation of the air-to-water generator system. This indicates the minimum condensation pressure during the historical operation of the air-to-water generator; This indicates the condensation pressure at the current moment; This indicates the condensate production during the historical operation of the air-to-water generator; This indicates the current condensate production. This indicates the real-time peak water usage response of the air-to-water generator; , and Both represent denominator correction parameters, with the same dimensions as the denominator, and their values ​​are local minima greater than 0. , and This is to prevent the denominator from being 0; for example, it can be set... , and This can prevent the denominator from being 0 without significantly interfering with the calculation of normal values. This represents a linear normalization function, such as a max-min normalization function, used to normalize the risk coefficient of inefficient system operation to a certain value. Within the range, the maximum value in the maximum-minimum normalization function is the preset upper limit of the range. This upper limit of the range is obtained by pre-calibrating based on the maximum operating pressure of the condensing compressor, the minimum condensate output, and the historical minimum water consumption peak response (for example, set to a preset constant of 50.0), and is used to normalize the risk coefficient of inefficient operation of the system to the range of [0,1].

[0050] If the compressor of the air-to-water generator is currently under condensing pressure The lower the condensate production The lower the level, the greater the reflectivity of the current peak water usage. The lower the value, the lower the condensate conversion efficiency in the water production backend of the air-to-water generator at the current moment, and the weaker the peak water usage performance. In this case, a lower air volume level needs to be matched to the water production fan.

[0051] S600: Based on the air volume urgency coefficient and the system inefficient operation risk coefficient, determine the real-time air volume demand index of the air-to-water equipment and adjust the fan speed.

[0052] If the air volume urgency coefficient of the air-to-water generator is real time The larger the volume, the higher the risk factor of inefficient operation of the air-to-water equipment system in real time. The smaller the value, the greater the airflow demand of the air-to-water generator on its built-in fan. Therefore, based on the airflow urgency coefficient and the system inefficiency operation risk coefficient, the real-time airflow demand index of the air-to-water generator is determined. Specifically, the formula for calculating the real-time airflow demand index of the air-to-water generator is as follows: In the formula, This indicates the real-time air volume demand of the air-to-water generator. This indicates the real-time airflow urgency coefficient of the air-to-water generator; This indicates the real-time risk coefficient of inefficient operation of the air-to-water generator system.

[0053] Furthermore, based on the real-time airflow demand index of the air-to-water generator, the fan speed is adjusted. This further includes: based on the airflow demand index, combined with the minimum operating airflow and rated airflow value of the built-in fan of the air-to-water generator (in this invention, the rated airflow value of the built-in fan is selected as 400 cubic meters per hour, which can also be adjusted according to the actual scenario; the minimum operating airflow is selected as 15% of the rated airflow value of the fan, specifically set according to the starting characteristics of different fan models), that is, calculating the difference between the rated airflow value and the minimum operating airflow value of the fan, multiplying this difference by the real-time water production airflow demand index, and then adding it to the minimum operating airflow value to obtain the recommended real-time fan airflow value of the air-to-water generator, and implementing parameter control of the fan speed based on the recommended fan airflow value.

[0054] Finally, the complete control process for direct-drinking air-to-water conversion includes: updating the recommended fan airflow value based on real-time data collection to achieve continuous regulation of the water production airflow. For the purified water entering the storage tank of the air-to-water conversion equipment, ultraviolet irradiation is used to destroy the DNA structure of microorganisms, rendering them unable to reproduce, and removing small amounts of bacteria and viruses, such as E. coli. The filter cartridges are regularly cleaned and replaced to prevent contamination of the water by substances adhering to the filter cartridges. Common filter cartridges include PP cotton (polypropylene melt-blown filter cartridges) and granular or columnar activated carbon. Water quality sensors, such as TDS sensors and turbidity sensors, are installed in the storage tank to monitor indicators in real time, such as conductivity reflecting the total dissolved solids and turbidity reflecting the impurity content. If the water quality is abnormal, such as a TDS value exceeding 50 mg / L, the system will automatically alarm and prompt manual maintenance. Thus, a highly adaptable direct-drinking air-to-water conversion control method is achieved.

[0055] Based on the same inventive concept as the control method described above, this embodiment also provides a direct-drinking air-to-water system.

[0056] The system includes memory and a processor, wherein: Memory, used to store program code; The processor reads the program code stored in the memory and executes it to collect real-time data on temperature, humidity, dust concentration, water level, historical water consumption, condensing pressure, and condensate production. Based on temperature and humidity, it analyzes the real-time temperature and humidity suitability factor of the air-to-water generator; based on dust concentration, it analyzes the real-time air filtration resistance of the air-to-water generator to determine the real-time water production input priority. Based on the water level and the water production input priority, it determines the real-time airflow urgency coefficient of the air-to-water generator. Based on historical water consumption, it obtains the historical daily water consumption reference factor to determine the real-time peak water consumption responsiveness of the air-to-water generator. Based on condensing pressure and condensate production, combined with the peak water consumption responsiveness, it determines the real-time system inefficiency operation risk coefficient of the air-to-water generator. Based on the airflow urgency coefficient and the system inefficiency operation risk coefficient, it determines the real-time airflow demand index of the air-to-water generator and adjusts the fan speed.

[0057] Based on the same inventive concept as the control method described above, this embodiment also provides a direct-drinking air-to-water control device.

[0058] Please see Figure 2 This illustrates the basic components of a direct-drinking air-to-water control device provided in one embodiment of the present invention.

[0059] like Figure 2 As shown, a direct-drinking air-to-water control device includes a data acquisition module 1, an air volume urgency coefficient analysis module 2, a system inefficient operation risk coefficient analysis module 3, and an air volume demand index acquisition module 4, wherein: Data acquisition module 1 is used to collect data on temperature, humidity, dust concentration, water storage level, historical water consumption, condensation pressure and condensate production in real time; The air volume urgency coefficient analysis module 2 is used to analyze the real-time temperature and humidity suitability factor of the air-to-water generator based on temperature and humidity, and to analyze the real-time air filtration resistance of the air-to-water generator based on dust particle concentration, thereby determining the real-time water production input priority of the air-to-water generator; and to determine the real-time air volume urgency coefficient of the air-to-water generator based on the water storage level and the water production input priority. The system inefficient operation risk coefficient analysis module 3 is used to obtain historical daily water consumption reference factors based on historical water consumption, determine the real-time peak water consumption response of the air-to-water generator; and determine the real-time system inefficient operation risk coefficient of the air-to-water generator based on condensing pressure and condensate output, combined with the peak water consumption response. The air volume demand index acquisition module 4 is used to determine the real-time air volume demand index of the air-to-water equipment based on the air volume urgency coefficient and the system inefficient operation risk coefficient, and to adjust the fan speed.

[0060] It should be noted that the order of the above embodiments of the present invention is merely for descriptive purposes and does not represent the superiority or inferiority of the embodiments. The processes depicted in the accompanying drawings do not necessarily require a specific or sequential order to achieve the desired result. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0061] The various embodiments in this specification are described in a progressive manner. The same or similar parts between the various embodiments can be referred to each other. Each embodiment focuses on describing the differences from other embodiments.

Claims

1. A direct drinking air-to-water generation control method, characterized by, The control method includes: Real-time data collection of temperature, humidity, dust concentration, water storage level, historical water consumption, condensing pressure, and condensate production; The real-time temperature and humidity suitability factor of the air-to-water generator is analyzed based on the temperature and humidity, and the real-time air filtration resistance of the air-to-water generator is analyzed based on the dust particle concentration to determine the real-time water production input priority of the air-to-water generator. Based on the water storage level and the water production input priority, the real-time air volume urgency coefficient of the air-to-water generator is determined. Based on the historical water consumption, obtain the historical daily water consumption reference factor to determine the real-time peak water consumption response of the air-to-water generator. Based on the condensation pressure and the condensate output, combined with the peak water consumption response, the real-time system inefficiency risk coefficient of the air-to-water generator is determined. Based on the air volume urgency coefficient and the system inefficient operation risk coefficient, the real-time air volume demand index of the air-to-water equipment is determined, and the fan speed is adjusted accordingly.

2. The direct drinking air water production control method of claim 1, wherein, The real-time temperature and humidity suitability factors of the air-to-water generator are analyzed based on the temperature and humidity, including: Based on the temperature and humidity, extract the maximum temperature and maximum humidity values ​​during the historical operation of the air-to-water device; By analyzing the ratio between the current temperature and the maximum temperature, the real-time high temperature trend of the air-to-water generator can be obtained. By analyzing the ratio between the current humidity and the maximum humidity value, the real-time high humidity trend of the air-to-water generator can be obtained. Based on the degree of high temperature tendency and the degree of high humidity tendency, the real-time temperature and humidity suitability factor of the air-to-water device is determined.

3. The direct-drinking air-to-water generation control method according to claim 2, characterized in that, The real-time air filtration resistance of the air-to-water generator is analyzed based on the dust particle concentration, including: Based on the dust particle concentration, calculate the average dust particle concentration during the historical operation of the air-to-water equipment; Analyze the difference between the current dust particle concentration and the average dust particle concentration to determine the real-time air filtration resistance of the air-to-water device.

4. The direct-drinking air-to-water generation control method according to claim 1, characterized in that, Based on the water storage level and the water production input priority, the real-time airflow urgency coefficient of the air-to-water generator is determined, including: Obtain the rated water level of the water storage tank; By analyzing the difference between the current water level and the rated water level, the real-time water level of the air-to-water generator is obtained. Based on the water level and the water input priority, the real-time airflow urgency coefficient of the air-to-water generator is determined.

5. The direct-drinking air-to-water generation control method according to claim 1, characterized in that, Based on the historical water consumption, obtain the historical daily water consumption reference factors, including: The historical water consumption data for each day is segmented into segments based on the number of days. Determine the historical time corresponding to the current moment within each historical day, and record it as the water usage reference time within that historical day; Extract the historical water consumption at the reference time for each historical day and record it as the historical reference water consumption for that day. For each historical day, the historical reference water consumption is compared with the total water consumption of the corresponding historical day to obtain the historical daily water consumption reference factor.

6. The direct-drinking air-to-water generation control method according to claim 5, characterized in that, Determine the real-time peak water usage response of the air-to-water generator, including: Calculate the mean and standard deviation of the water use reference factor corresponding to the current moment across all historical days to determine the real-time peak water use responsiveness of the air-to-water generator.

7. The direct-drinking air-to-water generation control method according to claim 1, characterized in that, Based on the condensation pressure and the condensate output, combined with the peak water consumption response, the real-time system inefficiency risk coefficient of the air-to-water generator is determined, including: Based on the condensation pressure and the condensate output, extract the minimum condensation pressure and minimum condensate output during the historical operation of the air-to-water generator; By analyzing the ratio between the current condensing pressure and the minimum condensing pressure, the real-time condensing pressure factor of the air-to-water generator is obtained. By analyzing the ratio between the current condensate output and the minimum condensate output, the real-time condensate output factor of the air-to-water generator is obtained. Based on the condensation pressure factor and the condensate production factor, combined with the peak water consumption response, the real-time system inefficiency risk coefficient of the air-to-water generator is determined.

8. The direct-drinking air-to-water generation control method according to claim 1, characterized in that, Adjusting the fan speed includes: Based on the air volume demand index, combined with the rated air volume and minimum operating air volume of the built-in fan of the air-to-water equipment, the recommended real-time fan air volume value of the air-to-water equipment is obtained, thereby realizing the regulation of the fan speed.

9. A direct-drinking air-to-water system, characterized in that, The system includes a memory and a processor, wherein: The memory is used to store program code; The processor is configured to read program code stored in the memory and execute the control method as described in any one of claims 1 to 8.

10. A direct-drinking air-to-water control device, characterized in that, The control device includes: The data acquisition module is used to collect data on temperature, humidity, dust concentration, water storage level, historical water consumption, condensation pressure, and condensate production in real time. The air volume urgency coefficient analysis module is used to analyze the real-time temperature and humidity suitability factor of the air-to-water generator based on the temperature and humidity, and to analyze the real-time air filtration resistance of the air-to-water generator based on the dust particle concentration, thereby determining the real-time water production input priority of the air-to-water generator; and to determine the real-time air volume urgency coefficient of the air-to-water generator based on the water storage level and the water production input priority. The system inefficient operation risk coefficient analysis module is used to obtain the historical daily water consumption reference factor based on the historical water consumption, determine the real-time water consumption peak response of the air-to-water generator; and determine the real-time system inefficient operation risk coefficient of the air-to-water generator based on the condensing pressure and the condensate output, combined with the water consumption peak response. The air volume demand index acquisition module is used to determine the real-time air volume demand index of the air-to-water equipment based on the air volume urgency coefficient and the system inefficient operation risk coefficient, and to adjust the fan speed.

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