Water vector high-efficiency energy-saving cooling tower control method and control system thereof

Abstract

The invention discloses a water vector high-efficiency energy-saving cooling tower control method and system, and relates to the technical field of water vector high-efficiency energy-saving cooling towers, and the method comprises the following steps: uniformly arranging a plurality of humidity monitoring points in a surrounding influence environment of a water vector high-efficiency energy-saving cooling tower, and monitoring the humidity change around the cooling tower in real time; real-time data are collected through humidity monitoring points. Humidity monitoring points are evenly arranged around the water vector efficient energy-saving cooling tower, humidity change can be monitored in real time, the condition of large-amplitude humidity change can be recognized in time, after the large-amplitude humidity change is recognized, the regulation and control frequency of the rotation rate of the water vector machine core is intelligently regulated and controlled through the humidity change frequency, and the water vector machine core is controlled to rotate. The response capability and adaptability of the cooling tower are improved, the rotation rate of the water vector machine core is further dynamically adjusted based on the humidity value obtained in real time, and it can be ensured that the cooling tower always keeps the optimal cooling effect under various environmental conditions.

Description

Technical Field

[0001] The invention relates to the technical field of water vector high-efficiency energy-saving cooling towers, and in particular to a water vector high-efficiency energy-saving cooling tower control method and a control system thereof. Background Art

[0002] The water vector high-efficiency energy-saving cooling tower is a new type of cooling equipment based on water vector thermal enthalpy atomization technology. Its core principle is to use the kinetic energy of circulating cooling water as a power source without the need for traditional motor drive. Through the high-speed rotation of the water vector movement, the cooling water is atomized into extremely fine water droplets, which are fully in contact with the air, improving the heat and mass exchange efficiency between the two. The cooling tower realizes electricity-free operation, saves electricity costs, and does not need to increase the power of the original water pump. While saving water, it greatly improves the cooling efficiency, making it an efficient and energy-saving cooling equipment. Compared with traditional electric fan cooling towers, the water vector high-efficiency energy-saving cooling tower has multiple advantages. First, it completely eliminates the motor drive, significantly reduces noise, and is very suitable for places with high noise requirements. Secondly, the atomized cooling water can perform multiple heat and mass exchanges with the air, greatly improving the cooling efficiency, saving water resources, and low operation and maintenance costs. The modular design makes the cooling tower easy to transport and install, with a service life of more than 15 years. It is an environmentally friendly, safe, and stable cooling solution. Secondly, the existing cooling tower usually adopts a four-sided air inlet design, which allows air to enter the tower from four directions at the same time and fully contact with the cooling water. The four-sided air inlet significantly increases the air flow and promotes the cooling effect. It not only improves the heat and mass exchange efficiency, avoids the wind resistance problem caused by a single air inlet, but also further reduces energy consumption and noise, ensuring that the cooling tower can maintain efficient and stable operation in various environments.

[0003] The prior art has the following deficiencies:

[0004] The water-vector high-efficiency and energy-saving cooling tower of the prior art usually sets the water-vector movement to a fixed rotation rate, so that the cooling water is atomized into extremely fine water droplets. However, when the ambient humidity changes greatly, the fixed rotation rate will have a significant impact. In a high humidity environment, the moisture content in the air increases, resulting in a significant decrease in the evaporation efficiency of the cooling water. At this time, the fixed-rate water-vector movement cannot compensate for the effect of humidity on the atomization effect, and the cooling water is difficult to fully evaporate, which greatly reduces the heat dissipation efficiency and may cause the equipment to overheat and be unable to maintain normal operation. On the contrary, if the ambient humidity suddenly drops, and the cooling tower still rotates at a fixed high speed to atomize the cooling water, the water will evaporate too quickly, which may cause overcooling, especially in low-load or low-temperature scenarios, causing the equipment temperature to be too low, affecting operational stability and production efficiency. Long-term overcooling will also aggravate the thermal stress changes of equipment components and shorten their service life.

[0005] The above information disclosed in this Background section is only for enhancement of understanding of the background of the present disclosure and therefore it may contain information that does not constitute the prior art that is already known to one of ordinary skill in the art. Summary of the invention

[0006] The purpose of the present invention is to provide a water vector high-efficiency energy-saving cooling tower control method and a control system thereof. By evenly arranging humidity monitoring points around the water vector high-efficiency energy-saving cooling tower, it is possible to monitor humidity changes in real time and promptly identify situations where humidity changes significantly. After identifying a significant change in humidity, the frequency of the rotation rate of the water vector movement is intelligently regulated by the humidity change frequency to improve the responsiveness and adaptability of the cooling tower. Secondly, the rotation rate of the water vector movement is further dynamically adjusted based on the humidity value obtained in real time, which can ensure that the cooling tower always maintains the best cooling effect under various environmental conditions. When the humidity change frequency is high, the system increases the rotation rate, enhances the atomization effect, and improves the heat dissipation efficiency; when the humidity change frequency is low, the adjustment operation is reduced, the energy consumption and equipment wear are reduced, and the service life of the equipment is extended, so as to solve the problems in the above-mentioned background technology.

[0007] In order to achieve the above object, the present invention provides the following technical solution: a water vector high-efficiency energy-saving cooling tower control method, comprising the following steps:

[0008] Multiple humidity monitoring points are evenly set in the surrounding environment of the water vector high-efficiency energy-saving cooling tower to monitor the humidity changes around the cooling tower in real time;

[0009] The cooling tower structure adopts a four-sided air inlet design, so that fresh air can enter the interior evenly from four directions of the cooling tower. Specifically, there are air inlets on all four sides of the outer wall of the cooling tower. After the cold air enters from the four-sided air inlets, it exchanges heat and mass with the cooling water of the cooling tower.

[0010] Through the real-time data collected from humidity monitoring points, the situation of large changes in humidity around the water vector energy-efficient cooling tower was initially identified;

[0011] After identifying a large change in humidity, the frequency of humidity change is further analyzed. The humidity change frequency refers to the number of times the humidity fluctuates within the subsequent monitoring window;

[0012] In the monitoring window, the frequency of the water vector movement rotation rate is intelligently regulated according to the humidity change frequency. When the humidity change frequency is high, the cooling tower needs to adjust the water vector movement rotation rate more frequently to cope with the rapid changes in the external environment; when the humidity change frequency is low, the adjustment frequency is slowed down to reduce unnecessary adjustments and maintain the smooth operation of the system.

[0013] After determining the adjustment frequency of the rotation rate of the water vector movement, the rotation rate of the water vector movement is further dynamically adjusted based on the humidity value obtained in real time;

[0014] In a high humidity environment, the moisture content in the air increases, and the evaporation effect of the cooling water is weakened. By increasing the rotation rate of the water vector movement, the atomization effect is enhanced, and the cooling water is refined into smaller water droplets, increasing the contact area with the air;

[0015] In a low humidity environment, ideal cooling effect can be achieved without high rotation rate. By reducing the rotation rate of the water vector movement, unnecessary energy consumption is reduced and over-cooling problems caused by excessive atomization are avoided.

[0016] Preferably, in the operation of the water vector high efficiency energy-saving cooling tower, the surrounding influencing environment refers to the surrounding environmental conditions that directly affect the performance of the cooling tower, including the air inlet area, the air exhaust area and the surrounding places where humidity fluctuations occur.

[0017] Preferably, the real-time data collected from the humidity monitoring points is comprehensively analyzed to generate the humidity variation range, and the humidity variation around the water vector high-efficiency energy-saving cooling tower is intelligently evaluated through the humidity variation range. The specific steps for generating the humidity variation range are as follows:

[0018] The real-time humidity data obtained by the humidity monitoring point is defined as H(t), where H(t) represents the humidity value at time t. Each humidity monitoring point collects humidity data according to the set sampling frequency to form a series of humidity values ​​H 1 (t), H 2 (t),…,H n (t), where n represents the number of humidity monitoring points;

[0019] After obtaining the humidity data, the humidity gradient change rate at each time point is calculated to represent the humidity change in time and space. The calculation expression is: Where G(t) represents the humidity gradient change rate, It is the time derivative of humidity value, indicating the rate of change over time; (t) represents the rate of change of humidity in space,

[0020]

[0021] , where H i (t) is the humidity value of the i-th humidity monitoring point at time t, H ref (t) is the humidity value of the average humidity monitoring point, |x i -x ref | is the humidity monitoring point x i With reference point x ref The distance between them, λ is an adjustment factor used to balance the weights of temporal change and spatial change;

[0022] Considering the humidity change and spatial distribution, the humidity change amplitude is calculated. The calculation expression is: In the formula, α is the weight coefficient affecting the humidity change amplitude, β is the humidity change adjustment parameter, which is used to control the nonlinear amplification effect of humidity change, and ω i is the weight of each humidity monitoring point, indicating the influence of different humidity monitoring points. variation Indicates the amplitude of humidity change, and integrates the data of multiple humidity monitoring points to indicate the overall humidity fluctuation amplitude.

[0023] Preferably, the humidity change amplitude generated by comprehensive analysis of the real-time data collected at the humidity monitoring points is compared with a preset humidity change amplitude reference threshold value to preliminarily identify the situation where the humidity around the water vector energy-saving cooling tower changes significantly. The specific steps are as follows: if the humidity change amplitude is greater than or equal to the humidity change amplitude reference threshold value, a humidity change signal is generated, indicating that the humidity around the water vector energy-saving cooling tower has changed significantly at this time; if the humidity change amplitude is less than the humidity change amplitude reference threshold value, a humidity stability signal is generated, indicating that the humidity around the water vector energy-saving cooling tower is stable at this time and there is no significant change.

[0024] Preferably, the humidity change frequency is obtained by analyzing the humidity fluctuation of the humidity monitoring point within the monitoring window, specifically:

[0025] The humidity change amplitude generated by comprehensive analysis of the real-time data collected from the humidity monitoring points is compared with the preset humidity change amplitude reference threshold. When the humidity change amplitude is greater than or equal to the humidity change amplitude reference threshold, the humidity change is recorded as a fluctuation. Then, within the monitoring window, the number of fluctuations when the humidity change amplitude is greater than or equal to the humidity change amplitude reference threshold is counted to obtain the humidity change frequency. The calculation expression of the humidity change frequency is:

[0026]

[0027] , where f H is the humidity change frequency, N ΔH>threshold The humidity change frequency is the number of times the humidity change amplitude is greater than or equal to the humidity change amplitude reference threshold within the monitoring window T. The humidity change frequency is used to evaluate the frequency of humidity fluctuations.

[0028] Preferably, within the monitoring window, the frequency of the rotation rate of the water vector movement is intelligently regulated according to the humidity change frequency. The specific steps are as follows:

[0029] According to the humidity change frequency, set the adjustment frequency f of the water vector movement rotation rate adjustThe adjustment frequency determines the response speed of the water vector movement rotation rate, and the calculation expression is: f adjust = k·f H γ , where k is the adjustment constant, which controls the sensitivity of the overall system; γ is the nonlinear adjustment coefficient, which is used to adjust the response sensitivity of the system.

[0030] Preferably, after determining the adjustment frequency of the rotation rate of the water vector movement, the rotation rate of the water vector movement is further dynamically adjusted based on the humidity value obtained in real time, and the process is as follows:

[0031] The real-time humidity value is obtained through the humidity monitoring point and compared with the reference humidity value to calculate the relative change of humidity. The calculation expression is: ξ H (t) = H 前 (t)-ξ ref , where ξ H (t) is the real-time relative change of humidity, H 前 (t) is the real-time humidity at the current moment, ξ ref is the reference humidity value;

[0032] According to the relative change of real-time humidity, the humidity adjustment coefficient is calculated. The humidity adjustment coefficient is used to adjust the rotation rate of the water vector movement to ensure that the cooling effect adapts to the current humidity environment. The calculation formula of the humidity adjustment coefficient is: Where φ is the sensitivity coefficient during humidity adjustment, which controls the effect of humidity changes on the rotation rate, C H (t) is the humidity adjustment coefficient, which is used to adjust the change amplitude of the rotation rate of the water vector movement;

[0033] Calculate the humidity adjustment coefficient C H (t), the rotation rate of the water vector movement is dynamically adjusted. The specific formula is as follows: ω(t) = ω 0 ·C H (t), where ω(t) is the rotation rate at the current moment t, ω 0 The base rotation rate.

[0034] Preferably, in order to avoid excessive cooling or energy waste caused by excessive humidity changes, the upper and lower limits of the rotation rate are set to ensure that the rotation rate of the water vector movement is always kept within a reasonable range. The formula is as follows: ω adjusted (t) = min(max(ω(t),ω min ),ω max ), where ω adjusted (t) is the actual adjusted rotation rate, ensuring that the rotation rate does not fall below the rotation rate lower limit ω min To maintain the basic cooling requirements, the rotation rate limit will not be exceeded. maxTo prevent excessive energy consumption.

[0035] Preferably, the interior of the cooling tower is composed of multiple structures, including a thermal enthalpy atomization chamber, a thermal enthalpy atomization device, and a water vector movement. The cooling water is atomized at high speed through the water vector movement to decompose the water into extremely fine water droplets. Under the action of the water vector coaxial fan blades, the atomized cooling water undergoes primary, secondary, and tertiary cooling contact with the air entering from the outside. After passing through the air inlets on the four sides of the cooling tower, the fresh air enters the thermal enthalpy atomization chamber and contacts the atomized cooling water. Then the air continues to move upward and undergoes multiple heat exchanges through multi-level condensate recovery devices and water vector coaxial fan blades, and finally the hot air is discharged from the top of the cooling tower. During the water vapor exchange process, the cooling water is continuously recovered into the water collection tray and enters the cooling cycle again to achieve water saving. The four-sided air inlet structural design increases the air circulation, avoids the wind resistance and uneven cooling caused by a single air inlet direction, improves the heat dissipation efficiency, and improves the overall cooling performance through a multi-layer heat exchange mechanism.

[0036] Water vector high-efficiency and energy-saving cooling tower control system, including humidity monitoring module, humidity change identification module, humidity change frequency analysis module, frequency intelligent control module, humidity value dynamic adjustment module, high humidity environment enhanced atomization module and low humidity environment energy-saving control module;

[0037] The humidity monitoring module evenly sets multiple humidity monitoring points in the surrounding environment of the water vector high-efficiency energy-saving cooling tower to monitor the humidity changes around the cooling tower in real time;

[0038] The humidity change identification module uses the real-time data collected by the humidity monitoring points to preliminarily identify the situation where the humidity around the water vector high-efficiency energy-saving cooling tower changes significantly;

[0039] The humidity change frequency analysis module further analyzes the frequency of humidity changes after identifying a large humidity change. The humidity change frequency refers to the number of humidity fluctuations in the subsequent monitoring window.

[0040] The frequency intelligent control module intelligently controls the frequency of the water vector movement rotation rate according to the humidity change frequency within the monitoring window. When the humidity change frequency is high, the cooling tower needs to adjust the rotation rate of the water vector movement more frequently to cope with the rapid changes in the external environment; when the humidity change frequency is low, the adjustment frequency is slowed down to reduce unnecessary adjustments and maintain the smooth operation of the system;

[0041] A humidity value dynamic adjustment module, after determining the adjustment frequency of the rotation rate of the water vector movement, further dynamically adjusts the rotation rate of the water vector movement based on the humidity value obtained in real time;

[0042] High humidity environment enhanced atomization module: In a high humidity environment, the moisture content in the air increases and the evaporation effect of the cooling water is weakened. By increasing the rotation rate of the water vector movement, the atomization effect is enhanced, so that the cooling water is refined into smaller water droplets, increasing the contact area with the air;

[0043] The low humidity environment energy-saving control module can achieve the ideal cooling effect in a low humidity environment without a high rotation rate. By reducing the rotation rate of the water vector movement, unnecessary energy consumption is reduced and over-cooling problems caused by excessive atomization are avoided.

[0044] In the above technical solution, the technical effects and advantages provided by the present invention are:

[0045] The present invention can monitor humidity changes in real time and promptly identify situations where humidity changes significantly by evenly setting humidity monitoring points around the water vector high-efficiency energy-saving cooling tower. After identifying a significant change in humidity, the frequency of the rotation rate of the water vector movement is intelligently regulated by the humidity change frequency, which can significantly improve the responsiveness and adaptability of the cooling tower. When it is detected that the humidity change frequency is high, the adjustment frequency of the water vector movement is increased to ensure that the cooling tower can adapt to the rapid changes in the external environment in a timely manner. This dynamic adjustment mechanism enables the cooling tower to enhance the atomization effect under high humidity conditions and increase the contact area between cooling water and air, thereby effectively improving the heat dissipation efficiency. In addition, by reducing the adjustment frequency when the humidity change frequency is low, the system can reduce unnecessary adjustment operations, maintain stable operation, reduce mechanical wear and maintenance requirements, and extend the service life of the equipment. This intelligent control method not only improves the cooling effect, but also optimizes energy utilization and improves overall operating efficiency.

[0046] The present invention further dynamically adjusts the rotation rate of the water vector movement based on the humidity value obtained in real time, which can ensure that the cooling tower always maintains the best cooling effect under various environmental conditions. In a high humidity environment, the moisture content in the air increases, resulting in a weakened evaporation effect of the cooling water. The system increases the rotation rate to enhance the atomization effect, so that the cooling water is refined into smaller water droplets, increasing the contact area with the air, thereby improving the heat dissipation efficiency. Conversely, when the humidity is low, the system will reduce the rotation rate in a timely manner, which can not only effectively prevent overcooling, but also reduce energy consumption and unnecessary operating costs. This dynamic adjustment mechanism based on real-time data realizes the high efficiency and economy of the system, making the water vector high-efficiency and energy-saving cooling tower more flexible and efficient in responding to environmental changes, ensuring that the equipment always operates in the best state. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0048] Figure 1 This is a method flow chart of the water vector high-efficiency and energy-saving cooling tower control method of the present invention.

[0049] Figure 2 It is a module schematic diagram of the water vector high-efficiency and energy-saving cooling tower control system of the present invention.

[0050] Figure 3 It is a schematic diagram of the overall structure of the water vector high-efficiency energy-saving cooling tower of the present invention.

[0051] Figure 4 It is a cross-sectional schematic diagram of the water vector high-efficiency energy-saving cooling tower of the present invention.

[0052] In the figure: 1. Cooling tower; 2. Air inlet; 3. Thermal enthalpy atomization chamber; 4. Thermal enthalpy atomization device; 5. Water vector movement; 6. Water collection tray. DETAILED DESCRIPTION

[0053] Example embodiments will now be described more fully with reference to the accompanying drawings. However, example embodiments can be implemented in a variety of forms and should not be construed as limited to the examples set forth herein; rather, these example embodiments are provided so that the description of the present disclosure will be more comprehensive and complete, and the concept of the example embodiments will be fully conveyed to those skilled in the art.

[0054] The present invention provides Figure 1 The water vector high efficiency and energy saving cooling tower control method shown comprises the following steps:

[0055] Multiple humidity monitoring points are evenly set in the surrounding environment of the water vector high-efficiency energy-saving cooling tower to monitor the humidity changes around the cooling tower in real time;

[0056] The location of humidity monitoring points should be arranged reasonably to ensure that all areas that may affect cooling efficiency are covered. These humidity monitoring points obtain humidity data in real time through sensors and transmit the data to the control system to form a comprehensive perception of the ambient humidity. Through the humidity sensors in the existing technology, it can be ensured that the humidity monitoring points have high sensitivity and accuracy, ensuring real-time response to small fluctuations in humidity.

[0057] In the operation of the water-vector high-efficiency energy-saving cooling tower, the surrounding influencing environment refers to the surrounding environmental conditions that directly affect the performance of the cooling tower, especially factors such as humidity, wind speed, and temperature. These factors will affect the heat and mass exchange efficiency of the cooling tower, so it is necessary to set humidity monitoring points in these environmental conditions to accurately grasp real-time data. Specifically, the surrounding influencing environment can include the air inlet area and exhaust area of ​​the cooling tower, as well as surrounding places where humidity fluctuations may occur, such as industrial equipment, natural water sources, or artificially generated water vapor. By monitoring the humidity changes in these areas, the system can quickly adapt to environmental changes and ensure the stability of the cooling effect.

[0058] When determining the surrounding influencing environment, it is necessary to consider the wind flow path and air flow range of the cooling tower to ensure that the humidity monitoring points can cover all areas that may affect humidity changes. By analyzing the airflow model during the operation of the cooling tower, it is possible to identify where the air enters the cooling tower, where it exchanges heat and mass with the cooling water, and through which area it is discharged. In addition, the heat source, water source and wind direction changes around the cooling tower should also be evaluated. These factors may cause local humidity changes, thereby affecting the efficiency of the cooling tower. Scientifically and reasonably determine the location of the humidity monitoring points to ensure that all potential impact areas are covered to ensure the accuracy and timeliness of the humidity monitoring data.

[0059] Through the real-time data collected from humidity monitoring points, the situation of large changes in humidity around the water vector energy-efficient cooling tower was initially identified;

[0060] The real-time data collected from the humidity monitoring points is comprehensively analyzed to generate the humidity change amplitude, and the humidity change situation around the water vector high-efficiency energy-saving cooling tower is intelligently evaluated through the humidity change amplitude. The specific steps for generating the humidity change amplitude are as follows:

[0061] The real-time humidity data obtained by the humidity monitoring point is defined as H(t), where H(t) represents the humidity value at time t. Each humidity monitoring point collects humidity data according to the set sampling frequency (such as once per second) to form a series of humidity values ​​H 1 (t), H 2 (t),…,H n (t), where n represents the number of humidity monitoring points;

[0062] Through these data, the system can obtain the humidity changes at different locations around the cooling tower.

[0063] After obtaining the humidity data, the humidity gradient change rate at each time point is calculated to represent the humidity change in time and space. The calculation expression is: Where G(t) represents the humidity gradient change rate, It is the time derivative of humidity value, indicating the rate of change over time; (t) represents the rate of change of humidity in space (i.e., the humidity difference at different humidity monitoring points),

[0064]

[0065] , where H i (t) is the humidity value of the i-th humidity monitoring point at time t, H ref (t) is the humidity value of the average humidity monitoring point, |x i -x ref | is the humidity monitoring point x i With reference point x ref The distance between them, λ is an adjustment factor used to balance the weights of temporal change and spatial change;

[0066] The humidity value of the average humidity monitoring point represents the reference benchmark of the humidity values ​​of all humidity monitoring points at time t. It is obtained by summarizing or averaging the real-time humidity data of all humidity monitoring points and is used as a benchmark value to measure the humidity changes of each humidity monitoring point. This value is used to compare with the humidity of each humidity monitoring point to calculate the rate of change of humidity in space and help identify local humidity differences. This step measures the intensity of humidity fluctuations through the combined changes in time and space.

[0067] Considering the humidity change and spatial distribution, the humidity change amplitude is calculated. The calculation expression is: In the formula, α is the weight coefficient that affects the humidity change amplitude, and β is the humidity change adjustment parameter, which is used to control the nonlinear amplification effect of humidity change. By using the absolute value of |G(t)|, the magnitude of humidity change can be captured instead of the direction. The role of β is that when the humidity changes greatly, the exponential amplification will significantly increase the humidity change amplitude and enhance the sensitivity to drastic changes. i The weight of each humidity monitoring point indicates the influence of different humidity monitoring points. It can be adjusted according to the distance between the humidity monitoring point and the cooling tower and the importance of the humidity monitoring point. variation Indicates the amplitude of humidity change, and integrates the data of multiple humidity monitoring points to indicate the overall humidity fluctuation amplitude;

[0068] This step combines the humidity change intensities of multiple humidity monitoring points into a humidity change amplitude through weighted summation, reflecting the humidity fluctuation amplitude of the entire cooling tower surrounding environment.

[0069] The humidity fluctuation around the water vector energy-saving cooling tower can be judged by the humidity change amplitude. The larger the humidity change amplitude, the greater the humidity fluctuation reflected by the real-time data collected by the humidity monitoring point, which means that the humidity around the cooling tower changes dramatically, and more adjustments to the system may be needed to adapt to environmental changes. On the contrary, a smaller humidity change amplitude means that the humidity is relatively stable, the humidity fluctuation around the cooling tower is small, and the system can maintain a stable operating state without frequent adjustments to the rotation rate.

[0070] The humidity change amplitude generated by comprehensive analysis of the real-time data collected from the humidity monitoring points is compared with the preset humidity change amplitude reference threshold to preliminarily identify the situation of large humidity changes around the water vector high-efficiency energy-saving cooling tower. The specific steps are as follows:

[0071] If the humidity change amplitude is greater than or equal to the humidity change amplitude reference threshold, a humidity change signal is generated, indicating that the humidity around the water vector energy-saving cooling tower has changed significantly at this time; if the humidity change amplitude is less than the humidity change amplitude reference threshold, a humidity stability signal is generated, indicating that the humidity around the water vector energy-saving cooling tower is stable at this time and there is no significant change.

[0072] After identifying a large change in humidity, the frequency of humidity change is further analyzed. The humidity change frequency refers to the number of times the humidity fluctuates within the subsequent monitoring window;

[0073] The humidity change frequency is obtained by analyzing the humidity fluctuation of the humidity monitoring point within the monitoring window, specifically:

[0074] The humidity change amplitude generated by comprehensive analysis of the real-time data collected from the humidity monitoring points is compared with the preset humidity change amplitude reference threshold. When the humidity change amplitude is greater than or equal to the humidity change amplitude reference threshold, the humidity change is recorded as a fluctuation. Then, within the monitoring window, the number of fluctuations when the humidity change amplitude is greater than or equal to the humidity change amplitude reference threshold is counted to obtain the humidity change frequency. The calculation expression of the humidity change frequency is:

[0075]

[0076] , where f H is the humidity change frequency, N ΔH>threshold The humidity change frequency is the number of times the humidity change amplitude is greater than or equal to the humidity change amplitude reference threshold within the monitoring window T. The humidity change frequency is used to evaluate the frequency of humidity fluctuations and to regulate the system based on this.

[0077] In the monitoring window, the frequency of the water vector movement rotation rate is intelligently regulated according to the humidity change frequency. When the humidity change frequency is high, the cooling tower needs to adjust the water vector movement rotation rate more frequently to cope with the rapid changes in the external environment; when the humidity change frequency is low, the adjustment frequency is slowed down to reduce unnecessary adjustments and maintain the smooth operation of the system.

[0078] In the monitoring window, according to the humidity change frequency, the frequency of the water vector movement rotation rate is intelligently regulated. The specific steps are as follows:

[0079] According to the humidity change frequency, set the adjustment frequency f of the water vector movement rotation rate adjust The frequency adjustment determines the response speed of the water vector movement rotation rate. The frequency adjustment f adjust The calculation expression is: adjust = k·f H γ , where k is the adjustment constant, which controls the sensitivity of the overall system; γ is the nonlinear adjustment coefficient, which is used to adjust the response sensitivity of the system, usually 0<γ<1;

[0080] When the humidity changes frequently, the system will increase the adjustment frequency f adjust , so that the water vector movement adjusts the rotation rate more frequently to quickly adapt to the drastic changes in external humidity; when the humidity changes less frequently, the system will reduce the adjustment frequency f adjust , reduce unnecessary adjustments and maintain smooth operation.

[0081] After determining the adjustment frequency of the rotation rate of the water vector movement, the rotation rate of the water vector movement is further dynamically adjusted based on the humidity value obtained in real time;

[0082] In a high humidity environment, the moisture content in the air increases, and the evaporation effect of the cooling water is weakened. By increasing the rotation rate of the water vector movement, the atomization effect is enhanced, and the cooling water is refined into smaller water droplets, increasing the contact area with the air;

[0083] In low humidity environments, ideal cooling can be achieved without high rotation rates. At this time, by reducing the rotation rate of the water vector movement, unnecessary energy consumption is reduced and overcooling caused by excessive atomization is avoided;

[0084] After determining the adjustment frequency of the rotation rate of the water vector movement, the rotation rate of the water vector movement is further dynamically adjusted based on the real-time humidity value. The process is as follows:

[0085] The real-time humidity value is obtained through the humidity monitoring point and compared with the reference humidity value to calculate the relative change of humidity. The calculation expression is: ξ H (t) = H前 (t)-ξ ref , where ξ H (t) is the real-time relative change of humidity, H 前 (t) is the real-time humidity at the current moment, ξ ref is the reference humidity value;

[0086] The reference humidity value refers to the standard or ideal humidity value of the environment around the cooling tower at a certain point in time or within a period of time. It can be set based on historical data or system design requirements as a benchmark value for judging humidity fluctuations. When the real-time humidity deviates significantly from the reference humidity value, the system will assume that the environmental conditions have changed, triggering an adjustment to the rotation rate of the water vector movement. The reference humidity value can be dynamically adjusted according to different seasons, climates or equipment load conditions to ensure that the cooling system can cope with different operating requirements;

[0087] If H A positive value of (t) indicates that the humidity is high and the evaporation effect is weakened; a negative value indicates that the humidity is low and the evaporation effect is enhanced. This value serves as the basis for subsequent rotation rate adjustments.

[0088] According to the relative change of real-time humidity, the humidity adjustment coefficient is calculated. The humidity adjustment coefficient is used to adjust the rotation rate of the water vector movement to ensure that the cooling effect adapts to the current humidity environment. The calculation formula of the humidity adjustment coefficient is: Where φ is the sensitivity coefficient during humidity adjustment, which controls the effect of humidity changes on the rotation rate, C H (t) is the humidity adjustment coefficient, which is used to adjust the change amplitude of the rotation rate of the water vector movement;

[0089] When the humidity is high, C H (t) will be greater than 1, indicating that the rotation rate needs to be increased; when the humidity is low, C H (t) will be less than 1, indicating that the rotation rate needs to be slowed down. The humidity adjustment factor ensures that the system can flexibly respond to humidity changes.

[0090] Calculate the humidity adjustment coefficient C H (t), the rotation rate of the water vector movement is dynamically adjusted. The specific formula is as follows: ω(t) = ω 0 ·C H (t), where ω(t) is the rotation rate at the current moment t, ω 0 is the basic rotation rate, multiplied by the humidity adjustment factor C H (t), the system can automatically increase or decrease the rotation rate according to the current humidity, thereby enhancing or weakening the atomization effect of the cooling water to ensure the best cooling effect under different humidity conditions;

[0091] The base rotation rate is the minimum or initial rotation rate that the water vector movement maintains under standard or default environmental conditions (such as when humidity, temperature, and load are relatively stable). This rate ensures that the cooling tower can operate normally and maintain basic heat dissipation. The setting of the base rotation rate depends on the estimation of the minimum cooling demand when the system is designed, ensuring that the system can continue to cool effectively even when the environmental conditions are relatively stable. It is equivalent to the default operating state of the system when there are no drastic changes in humidity.

[0092] In order to avoid excessive cooling or energy waste when the humidity changes too much, the upper and lower limits of the rotation rate are set to ensure that the rotation rate of the water vector movement is always kept within a reasonable range. The formula is as follows: ω adjusted (t) = min(max(ω(t),ω min ),ω max ), where ω adjusted (t) is the actual adjusted rotation rate, ensuring that the rotation rate does not fall below the rotation rate lower limit ω min To maintain the basic cooling requirements, the rotation rate limit will not be exceeded. max To prevent excessive energy consumption;

[0093] The upper and lower limits of the rotation rate refer to the lowest and highest values ​​at which the water vector movement can safely operate. The main purpose of setting these limits is to ensure the safety and efficiency of the system under different working conditions. Generally, the lower limit of the rotation rate is set based on the basic cooling needs of the system to ensure that effective heat dissipation can be maintained under the lowest humidity conditions; while the upper limit of the rotation rate should take into account the mechanical bearing capacity and energy efficiency of the equipment to avoid excessive wear, energy waste or increased noise due to too fast rotation. When setting the upper and lower limits, it is usually necessary to refer to the equipment manufacturer's recommendations, actual operating data and the expected working environment to ensure safe and efficient operation under all possible operating conditions.

[0094] This step ensures that the system remains stable even in extreme humidity conditions, avoiding excessive fogging and unnecessary energy consumption.

[0095] The following is a detailed introduction to the structure of the water vector high-efficiency energy-saving cooling tower:

[0096] The structure of cooling tower 1 adopts a four-sided air inlet design, so that fresh air can enter the interior evenly from four directions of cooling tower 1. Specifically, air inlets 2 are arranged on all sides of the outer wall of cooling tower 1. After cold air enters from the four-sided air inlets 2, it exchanges heat and mass with the cooling water of cooling tower 1. The interior of cooling tower 1 is composed of multiple important structures, including thermal enthalpy atomization chamber 3, thermal enthalpy atomization device 4, and water vector movement 5. These components work together. First, the cooling water is atomized at high speed through water vector movement 5, and the water is decomposed into extremely fine water droplets. Under the action of water vector coaxial fan blades, the atomized cooling water is subjected to primary, secondary and tertiary cooling contact with the air entering from the outside. After passing through the air inlets on the four sides of cooling tower 1, the fresh air enters the thermal enthalpy atomization chamber 3 and contacts with the atomized cooling water. Then the air continues to move upward, and multiple heat exchanges are carried out through the multi-level condensate recovery device and water vector coaxial fan blades, and finally discharged from the top of cooling tower 1 as hot air. During the water vapor exchange process, the cooling water is continuously recycled into the water collection tray 6 and enters the cooling cycle again, achieving a water-saving effect. This four-sided air intake structural design effectively increases the air flow, avoids the wind resistance and uneven cooling caused by a single air intake direction, improves the heat dissipation efficiency, and improves the overall cooling performance through a multi-layer heat exchange mechanism.

[0097] The present invention can monitor humidity changes in real time and promptly identify situations where humidity changes significantly by evenly setting humidity monitoring points around the water vector high-efficiency energy-saving cooling tower. After identifying a significant change in humidity, the frequency of the rotation rate of the water vector movement is intelligently regulated by the humidity change frequency, which can significantly improve the responsiveness and adaptability of the cooling tower. When it is detected that the humidity change frequency is high, the adjustment frequency of the water vector movement is increased to ensure that the cooling tower can adapt to the rapid changes in the external environment in a timely manner. This dynamic adjustment mechanism enables the cooling tower to enhance the atomization effect under high humidity conditions and increase the contact area between cooling water and air, thereby effectively improving the heat dissipation efficiency. In addition, by reducing the adjustment frequency when the humidity change frequency is low, the system can reduce unnecessary adjustment operations, maintain stable operation, reduce mechanical wear and maintenance requirements, and extend the service life of the equipment. This intelligent control method not only improves the cooling effect, but also optimizes energy utilization and improves overall operating efficiency.

[0098] The present invention further dynamically adjusts the rotation rate of the water vector movement based on the humidity value obtained in real time, which can ensure that the cooling tower always maintains the best cooling effect under various environmental conditions. In a high humidity environment, the moisture content in the air increases, resulting in a weakened evaporation effect of the cooling water. The system increases the rotation rate to enhance the atomization effect, so that the cooling water is refined into smaller water droplets, increasing the contact area with the air, thereby improving the heat dissipation efficiency. Conversely, when the humidity is low, the system will reduce the rotation rate in a timely manner, which can not only effectively prevent overcooling, but also reduce energy consumption and unnecessary operating costs. This dynamic adjustment mechanism based on real-time data realizes the high efficiency and economy of the system, making the water vector high-efficiency and energy-saving cooling tower more flexible and efficient in responding to environmental changes, ensuring that the equipment always operates in the best state.

[0099] The present invention provides Figure 2 The water vector high-efficiency and energy-saving cooling tower control system shown includes a humidity monitoring module, a humidity change identification module, a humidity change frequency analysis module, a frequency intelligent control module, a humidity value dynamic adjustment module, a high humidity environment enhanced atomization module, and a low humidity environment energy-saving control module;

[0100] The humidity monitoring module evenly sets multiple humidity monitoring points in the surrounding environment of the water vector high-efficiency energy-saving cooling tower to monitor the humidity changes around the cooling tower in real time;

[0101] The humidity change identification module uses the real-time data collected by the humidity monitoring points to preliminarily identify the situation where the humidity around the water vector high-efficiency energy-saving cooling tower changes significantly;

[0102] The humidity change frequency analysis module further analyzes the frequency of humidity changes after identifying a large humidity change. The humidity change frequency refers to the number of humidity fluctuations in the subsequent monitoring window.

[0103] The frequency intelligent control module intelligently controls the frequency of the water vector movement rotation rate according to the humidity change frequency within the monitoring window. When the humidity change frequency is high, the cooling tower needs to adjust the rotation rate of the water vector movement more frequently to cope with the rapid changes in the external environment; when the humidity change frequency is low, the adjustment frequency is slowed down to reduce unnecessary adjustments and maintain the smooth operation of the system;

[0104] A humidity value dynamic adjustment module, after determining the adjustment frequency of the rotation rate of the water vector movement, further dynamically adjusts the rotation rate of the water vector movement based on the humidity value obtained in real time;

[0105] High humidity environment enhanced atomization module: In a high humidity environment, the moisture content in the air increases and the evaporation effect of the cooling water is weakened. By increasing the rotation rate of the water vector movement, the atomization effect is enhanced, so that the cooling water is refined into smaller water droplets, increasing the contact area with the air;

[0106] Low humidity environment energy-saving control module, in a low humidity environment, can achieve ideal cooling effect without high rotation rate, by reducing the rotation rate of the water vector movement, reducing unnecessary energy consumption and avoiding over-cooling caused by excessive atomization;

[0107] The water vector high-efficiency energy-saving cooling tower control method provided in the embodiment of the present invention is realized by the above-mentioned water vector high-efficiency energy-saving cooling tower control system. The specific methods and processes of the water vector high-efficiency energy-saving cooling tower control system are detailed in the embodiment of the above-mentioned water vector high-efficiency energy-saving cooling tower control method, which will not be repeated here.

[0108] The above description is only by way of illustration of certain exemplary embodiments of the present invention. It is undoubted that those skilled in the art can modify the described embodiments in various ways without departing from the spirit and scope of the present invention. Therefore, the above drawings and descriptions are illustrative in nature and should not be construed as limiting the scope of protection of the claims of the present invention.

[0109] It should be noted that, in this article, if there are relational terms such as first and second, etc., they are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or still includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "including a..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

[0110] It should be understood that in the various embodiments of the present application, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0111] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0112] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0113] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0114] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0115] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0116] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application can be essentially or partly embodied in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in the various embodiments of the present application. The aforementioned storage media include: various media that can store program codes, such as USB flash drives, mobile hard disks, read-only memories (ROM), random access memories (RAM), magnetic disks or optical disks.

[0117] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A water vector high-efficiency and energy-saving cooling tower control method, characterized in that: The following steps are involved: Multiple humidity monitoring points are evenly set in the surrounding environment of the water vector high-efficiency energy-saving cooling tower to monitor the humidity changes around the cooling tower in real time; The cooling tower structure adopts a four-sided air inlet design, so that fresh air can enter the interior evenly from four directions of the cooling tower. Specifically, there are air inlets on all four sides of the outer wall of the cooling tower. After the cold air enters from the four-sided air inlets, it exchanges heat and mass with the cooling water of the cooling tower. Through the real-time data collected from humidity monitoring points, the situation of large changes in humidity around the water vector energy-efficient cooling tower was initially identified; After identifying a large change in humidity, the frequency of humidity change is further analyzed. The humidity change frequency refers to the number of times the humidity fluctuates within the subsequent monitoring window; In the monitoring window, the rotation rate of the water vector movement is intelligently regulated according to the humidity change frequency. When the humidity change frequency is high, the rotation rate of the water vector movement is frequently adjusted to cope with the rapid changes in the external environment; when the humidity change frequency is low, the adjustment frequency is slowed down to maintain the smooth operation of the system. After determining the adjustment frequency of the rotation rate of the water vector movement, the rotation rate of the water vector movement is further dynamically adjusted based on the humidity value obtained in real time; In a high humidity environment, the moisture content in the air increases, and the evaporation effect of the cooling water is weakened. By increasing the rotation rate of the water vector movement, the atomization effect is enhanced, and the cooling water is refined into smaller water droplets, increasing the contact area with the air; In low humidity environments, the rotation rate of the water vector movement is reduced to avoid over-cooling problems caused by excessive atomization.

2. The water vector high-efficiency and energy-saving cooling tower control method according to claim 1 is characterized in that: In the operation of water-vector high-efficiency energy-saving cooling towers, the surrounding influencing environment refers to the surrounding environmental conditions that directly affect the performance of the cooling tower, including the air inlet area, exhaust area and surrounding places where humidity fluctuations occur.

3. The water vector high-efficiency and energy-saving cooling tower control method according to claim 1 is characterized in that: The real-time data collected from the humidity monitoring points is comprehensively analyzed to generate the humidity change amplitude, and the humidity change situation around the water vector high-efficiency energy-saving cooling tower is intelligently evaluated through the humidity change amplitude. The specific steps for generating the humidity change amplitude are as follows: The real-time humidity data obtained by the humidity monitoring point is defined as H(t), where H(t) represents the humidity value at time t. Each humidity monitoring point collects humidity data according to the set sampling frequency to form a series of humidity values ​​H1(t), H2(t), ..., H n (t), where n represents the number of humidity monitoring points; After obtaining the humidity data, the humidity gradient change rate at each time point is calculated to represent the humidity change in time and space. The calculation expression is: Where G(t) represents the humidity gradient change rate, It is the time derivative of humidity value, indicating the rate of change over time; (t) represents the rate of change of humidity in space, Among them, H i (t) is the humidity value of the i-th humidity monitoring point at time t, H ref (t) is the humidity value of the average humidity monitoring point, |x i -x ref | is the humidity monitoring point x i With reference point x ref The distance between them, λ is an adjustment factor used to balance the weights of temporal change and spatial change; Considering the humidity change and spatial distribution, the humidity change amplitude is calculated. The calculation expression is: In the formula, α is the weight coefficient affecting the humidity change amplitude, β is the humidity change adjustment parameter, which is used to control the nonlinear amplification effect of humidity change, and ω i is the weight of each humidity monitoring point, indicating the influence of different humidity monitoring points. variation Indicates the amplitude of humidity change, and integrates the data of multiple humidity monitoring points to indicate the overall humidity fluctuation amplitude.

4. The water vector high-efficiency and energy-saving cooling tower control method according to claim 3 is characterized in that: The humidity change amplitude generated by comprehensive analysis of the real-time data collected from the humidity monitoring points is compared with the pre-set humidity change amplitude reference threshold value to preliminarily identify the situation of large changes in humidity around the water vector energy-saving cooling tower. The specific steps are as follows: If the humidity change amplitude is greater than or equal to the humidity change amplitude reference threshold value, a humidity change signal is generated, indicating that the humidity around the water vector energy-saving cooling tower has changed significantly at this time; if the humidity change amplitude is less than the humidity change amplitude reference threshold value, a humidity stability signal is generated, indicating that the humidity around the water vector energy-saving cooling tower is stable at this time and there is no large change.

5. The water vector high-efficiency and energy-saving cooling tower control method according to claim 4 is characterized in that: The humidity change frequency is obtained by analyzing the humidity fluctuation of the humidity monitoring point within the monitoring window, specifically: The humidity change amplitude generated by comprehensive analysis of the real-time data collected from the humidity monitoring points is compared with the preset humidity change amplitude reference threshold. When the humidity change amplitude is greater than or equal to the humidity change amplitude reference threshold, the humidity change is recorded as a fluctuation. Then, within the monitoring window, the number of fluctuations when the humidity change amplitude is greater than or equal to the humidity change amplitude reference threshold is counted to obtain the humidity change frequency. The calculation expression of the humidity change frequency is: In the formula, f H is the humidity change frequency, N ΔH>threshold The humidity change frequency is the number of times the humidity change amplitude is greater than or equal to the humidity change amplitude reference threshold within the monitoring window T. The humidity change frequency is used to evaluate the frequency of humidity fluctuations.

6. The water vector high-efficiency and energy-saving cooling tower control method according to claim 5 is characterized in that: In the monitoring window, according to the humidity change frequency, the frequency of the water vector movement rotation rate is intelligently regulated. The specific steps are as follows: According to the humidity change frequency, set the adjustment frequency f of the water vector movement rotation rate adjust The adjustment frequency determines the response speed of the water vector movement rotation rate, and the calculation expression is: f adjust = k·f H γ , where k is the adjustment constant, which controls the sensitivity of the overall system; γ is the nonlinear adjustment coefficient, which is used to adjust the response sensitivity of the system.

7. The water vector high-efficiency and energy-saving cooling tower control method according to claim 1 is characterized in that: After determining the adjustment frequency of the rotation rate of the water vector movement, the rotation rate of the water vector movement is further dynamically adjusted based on the real-time humidity value. The process is as follows: The real-time humidity value is obtained through the humidity monitoring point and compared with the reference humidity value to calculate the relative change of humidity. The calculation expression is: ξ H (t) = H 前 (t)-ξ ref , where ξ H (t) is the real-time relative change of humidity, H 前 (t) is the real-time humidity at the current moment, ξ ref is the reference humidity value; According to the relative change of real-time humidity, the humidity adjustment coefficient is calculated. The humidity adjustment coefficient is used to adjust the rotation rate of the water vector movement to ensure that the cooling effect adapts to the current humidity environment. The calculation formula of the humidity adjustment coefficient is: Where φ is the sensitivity coefficient during humidity adjustment, which controls the effect of humidity changes on the rotation rate, C H (t) is the humidity adjustment coefficient, which is used to adjust the change amplitude of the rotation rate of the water vector movement; Calculate the humidity adjustment coefficient C H (t), the rotation rate of the water vector movement is dynamically adjusted. The specific formula is as follows: ω(t) = ω0·C H (t), where ω(t) is the rotation rate at the current moment t, and ω0 is the basic rotation rate.

8. The water vector high-efficiency and energy-saving cooling tower control method according to claim 7 is characterized in that: In order to avoid excessive cooling or energy waste when the humidity changes too much, the upper and lower limits of the rotation rate are set to ensure that the rotation rate of the water vector movement is always kept within a reasonable range. The formula is as follows: ω adjusted (t) = min(max(ω(t),ω min ),ω max ), where ω adjusted (t) is the actual adjusted rotation rate, ensuring that the rotation rate does not fall below the rotation rate lower limit ω min To maintain the basic cooling requirements, the rotation rate limit will not be exceeded. max To prevent excessive energy consumption.

9. The water vector high-efficiency and energy-saving cooling tower control method according to claim 1 is characterized in that: The interior of the cooling tower is composed of multiple structures, including a thermal enthalpy atomization chamber, a thermal enthalpy atomization device, and a water vector movement. The cooling water is atomized at high speed through the water vector movement, and the water is decomposed into extremely fine water droplets. Under the action of the water vector coaxial fan blades, the atomized cooling water undergoes primary, secondary, and tertiary cooling contact with the air entering from the outside. After passing through the air inlets on the four sides of the cooling tower, the fresh air enters the thermal enthalpy atomization chamber and contacts the atomized cooling water. Then the air continues to move upward and undergoes multiple heat exchanges through multi-level condensate recovery devices and water vector coaxial fan blades, and finally the hot air is discharged from the top of the cooling tower. During the water vapor exchange process, the cooling water is continuously recycled into the water collection tray and enters the cooling cycle again to achieve water saving. The four-sided air inlet structural design increases the air circulation, avoids the wind resistance and uneven cooling caused by a single air inlet direction, improves the heat dissipation efficiency, and improves the overall cooling performance through a multi-layer heat exchange mechanism.

10. A water vector high efficiency and energy saving cooling tower control system, used to implement the water vector high efficiency and energy saving cooling tower control method according to any one of claims 1 to 9, characterized in that: It includes humidity monitoring module, humidity change identification module, humidity change frequency analysis module, frequency intelligent control module, humidity value dynamic adjustment module, high humidity environment enhanced atomization module and low humidity environment energy-saving control module; Humidity monitoring module, evenly set multiple humidity monitoring points in the surrounding environment of the water vector high-efficiency energy-saving cooling tower, and monitor the humidity changes around the cooling tower in real time; The humidity change identification module uses the real-time data collected from humidity monitoring points to preliminarily identify the situation where the humidity around the water vector energy-saving cooling tower changes significantly; The humidity change frequency analysis module further analyzes the frequency of humidity changes after identifying a large humidity change. The humidity change frequency refers to the number of humidity fluctuations in the subsequent monitoring window. The frequency intelligent control module intelligently controls the rotation rate of the water vector movement according to the humidity change frequency within the monitoring window. When the humidity change frequency is high, the rotation rate of the water vector movement is frequently adjusted to cope with the rapid changes in the external environment; when the humidity change frequency is low, the adjustment frequency is slowed down to maintain the smooth operation of the system; A humidity value dynamic adjustment module, after determining the adjustment frequency of the rotation rate of the water vector movement, further dynamically adjusts the rotation rate of the water vector movement based on the humidity value obtained in real time; High humidity environment enhanced atomization module: In a high humidity environment, the moisture content in the air increases and the evaporation effect of the cooling water is weakened. By increasing the rotation rate of the water vector movement, the atomization effect is enhanced, so that the cooling water is refined into smaller water droplets, increasing the contact area with the air; The low humidity environment energy-saving control module reduces the rotation rate of the water vector movement in a low humidity environment to avoid over-cooling caused by excessive atomization.

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