Adjustable sound control noise reduction system based on slow flow energy release and use method thereof

By adopting an adjustable sound-controlled noise reduction system based on slow-current energy release on the cooling tower, the spacing of the sound-absorbing device in real time is monitored and automatically adjusted, the problems of insufficient noise reduction and lack of intelligent regulation of the existing cooling tower noise reduction device are solved, and the effect of efficient noise reduction and optimized heat dissipation efficiency is achieved.

CN119642605APending Publication Date: 2025-03-18HANGZHOU LVLONG ENVIRONMENTAL PROTECTION TECH CO LTD
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Patent Information

Application Number
CN202510044884.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-01-13
Publication Date
2025-03-18

AI Technical Summary

Technical Problem

The existing cooling tower noise reduction device is insufficient, the air inlet muffler has large resistance loss, and lacks intelligent control methods, so it is impossible to automatically adjust the noise reduction effect according to environmental changes.

Method used

An adjustable sound-controlled noise reduction system based on slow-current energy release is adopted, including a control processing unit, a real-time detection unit and a multi-layer sound-sinking mechanism. By monitoring the working status and environmental parameters of the cooling tower in real time, the spacing between each layer of the sound-sinking device is automatically adjusted to optimize the noise reduction effect and heat dissipation efficiency.

Benefits of technology

It achieves a more efficient noise reduction effect, with the maximum noise reduction of up to 15dB(A), which improves the heat exchange efficiency of the cooling tower, reduces energy consumption, and has intelligent adjustment capabilities to adapt to different environmental conditions.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention discloses an adjustable sound control noise reduction system based on slow flow energy release and a use method thereof, and particularly relates to the technical field of cooling tower noise reduction, the adjustable sound control noise reduction system comprises a control processing unit, a real-time detection unit and a multi-layer water falling noise elimination mechanism, the control processing unit is used for analyzing and comparing data collected by the real-time detection unit, and the multi-layer water falling noise elimination mechanism is used for reducing noise. The real-time detection unit is used for monitoring the working state of the cooling tower in real time, and the multi-layer water falling noise elimination mechanism is used for adjusting the spacing of all layers of the water falling noise elimination device according to preset data and a real-time monitoring result, changing the actual noise reduction amount and the heat dissipation efficiency of the cooling tower and improving the cooling efficiency of the cooling tower. Compared with a traditional water falling energy dissipation device, the system has the better noise reduction effect, meanwhile, the water spraying heat dissipation time is optimized, the heat exchange efficiency is improved, and the elevation position and the relative distance of the buffering device are automatically adjusted according to the water spraying density, the water spraying height, the noise reduction requirement and the external environment of the cooling tower through the modularized and intelligent adjustable mode.
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Description

Technical Field

[0001] The present invention relates to the technical field of cooling tower noise reduction, and more specifically, to an adjustable sound-controlled noise reduction system based on slow-flow energy release and a method for using the system. Background Art

[0002] With the development of industry and urbanization, cooling towers are widely used as heat exchange equipment in various industrial and commercial places. However, the noise problem generated by cooling towers during operation has received increasing attention, especially the impact of the bottom water spraying noise on the surrounding environment and residents' lives. Existing noise reduction measures often have limited effects and lack intelligent control methods. Therefore, it is of great significance to develop a device and method that can effectively reduce the water spraying noise at the bottom of the cooling tower and realize intelligent control; After searching, the existing patent (publication number: CN220153311U) discloses a cooling tower water falling silencer, including a noise reduction component arranged above the water surface in the cooling tower, and an air layer is formed between the noise reduction component and the water surface or between vertically adjacent noise reduction components; the noise reduction component includes a wire rope bottom support component, a wire mesh, and a noise reduction material layer, the wire mesh is laid above the wire rope bottom support component, and the noise reduction material layer is arranged above the wire mesh; the wire rope bottom support component is connected to the inner wall of the cooling tower through a tensioning device on all sides; the noise reduction material layer is provided with irregular water-permeable gaps, and the falling speed of water droplets is slowed down by the noise reduction material layer, and the volume of water droplets is decomposed. The utility model can achieve a good water falling silencer effect and improve the heat exchange efficiency; the noise reduction material layer is cheap and easy to obtain, which effectively reduces the noise processing cost, and the material is not easy to break and fall off, and has good durability. In the process of realizing the present invention, the inventor found that the prior art has the following problems: The traditional water-falling silencer has shortcomings such as low noise reduction or large resistance loss of the air inlet silencer. The wire rope bottom support is connected to the inner wall of the cooling tower through a tensioning device on all sides, which sacrifices the air intake efficiency of the cooling tower. At the same time, the existing equipment lacks an intelligent silencer control system, and the noise reduction lacks a means to change the actual noise reduction and heat dissipation efficiency of the cooling tower according to the environment. Therefore, in order to solve the above problems, an adjustable sound-controlled noise reduction system based on slow-flow energy release and a method for using the system are proposed. Summary of the invention

[0003] In order to overcome the above-mentioned defects of the prior art, the present invention provides an adjustable sound-controlled noise reduction system based on slow-flow energy release and a method of using the same to solve the problems raised in the above-mentioned background technology.

[0004] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: an adjustable sound-controlled noise reduction system based on slow-flow energy release, comprising a control processing unit, a real-time detection unit and a multi-layer water-falling silencer mechanism, The control processing unit is used to analyze and compare the data collected by the real-time monitoring unit, and adjust the multi-layer water-falling silencer mechanism according to the analysis and comparison; The real-time detection unit is used to monitor the working status of the cooling tower in real time; The multi-layer water-falling silencer mechanism is used to adjust the spacing between each layer of the water-falling silencer according to preset data and real-time monitoring results, thereby changing the actual noise reduction amount and heat dissipation efficiency of the cooling tower.

[0005] Preferably, the multi-layer falling water silencer mechanism includes an electric track, a falling water silencer frame, rollers, a falling water silencer and silencer louvers, a falling water silencer frame is arranged on one side of the electric track, the falling water silencer frame is arranged in several groups, and each group of the falling water silencer frames are evenly arranged along the vertical direction of the electric slide rail, the contact surfaces of the falling water silencer frame and the electric slide rail are both provided with rollers, a falling water silencer is arranged inside the falling water silencer frame, the falling water silencer is arranged in several groups, and each group of the falling water silencer is evenly arranged along the vertical direction of the frame, holes are arranged on the outer wall of the falling water silencer, the holes are arranged in several groups, and each group of the holes are evenly arranged along the horizontal direction of the falling water silencer, silencer louvers are arranged above the falling water silencer frame, and the silencer louvers are arranged on the air inlet of the cooling tower.

[0006] Preferably, the real-time detection unit includes an aerodynamic performance sensor probe, an acoustic sensor probe and a water spraying water temperature and heat exchange efficiency detection probe. The aerodynamic performance sensor probe is located on the outer wall of the electric track, an acoustic sensor probe is arranged below the aerodynamic performance sensor probe, and a water spraying water temperature and heat exchange efficiency detection probe is arranged on one side of the acoustic sensor probe.

[0007] Preferably, the control processing unit includes a data storage device, a wireless receiver, a processor and a servo motor, a wireless receiver is provided on one side of the data storage device, a processor is provided on one side of the wireless receiver, a servo motor is provided on one side of the processor, one side of the servo motor is connected to the roller, and the servo motor is controlled by the processor so that the servo motor drives the roller to move up and down along the electric track, a locking device is provided on one side of the roller, the locking device includes a mechanical clamp, a driving gear and a pressure sensor, the mechanical clamp is provided on both sides of the roller, a driving gear is provided on one side of the mechanical clamp, and the mechanical clamp is connected to the servo motor through the driving gear, a pressure sensor is provided on one side of the driving gear, and the pressure sensor is connected to the processor.

[0008] Preferably, a method for using an adjustable sound-controlled noise reduction system based on slow-flow energy release comprises the following steps: S1, the real-time detection unit is arranged on the multi-layer water-falling silencer mechanism to perform real-time detection on the noise value and heat dissipation efficiency change at the bottom of the cooling tower; S2, after receiving the real-time detection data from the real-time detection unit, the control processing unit performs data analysis and comparison and then calculates the height of the silencer device on each floor; S3. The control processing unit automatically allocates the servo motor to drive the adjustment of the spacing between the layers of the multi-layer water-falling silencer mechanism according to the calculation structure to change the actual noise reduction amount and heat dissipation efficiency of the cooling tower.

[0009] Preferably, in step S2, the target noise reduction amount preset in the processor is first determined by the environmental protection standard, and the field data of the cooling tower is collected by the real-time detection unit, so as to calculate the theoretical noise reduction effect of the silencer at different heights using the sound pressure level difference formula, and the sound pressure level difference formula is as follows: ; in, is the sound pressure level difference, h1 and h2 are the different heights of the two groups of water silencers; At the same time, the processor calculates the influence of different heights on the water flow rate and heat dissipation effect through the Bernoulli equation, and the Bernoulli equation is: ; Among them, v is the velocity; g is the acceleration due to gravity; h is the height; p is the pressure; is the density of water.

[0010] Preferably, after obtaining data through the operation of the sound pressure level difference formula and the Bernoulli equation, the processor uses a simulated annealing algorithm to calculate the optimal height combination that meets the requirements of noise reduction and heat dissipation efficiency. The steps of the simulated annealing algorithm are as follows: A1. Select an initial solution as the current solution, set a higher initial temperature T, and determine the cooling rate; A2. causing the processor to make a small random change to the current solution to generate one or more neighbor solutions; A3. Calculate the fitness function for the current solution and the neighbor solution. The fitness function is as follows: ; Where h is a vector containing all layer heights; N is a measure of the amount of noise reduction; E is a measure of the heat dissipation efficiency; and is the weight coefficient; A4. Through the operation of the fitness function, the following judgment is made: Step 1: If the fitness of the neighbor solution is higher than the fitness of the current solution, the neighbor solution is accepted as the new current solution, otherwise, the process proceeds to step 2; Step 2: If the fitness of the neighbor solution is lower than the fitness of the current solution, decide whether to accept the neighbor solution according to probability P. The calculation formula of probability P is as follows: ; in, is the fitness of the neighbor solution; is the fitness of the current solution; T is the current temperature; A5. The processor reduces the temperature T at a predetermined cooling rate. A geometric cooling strategy is used to reduce the temperature T. The geometric cooling strategy is as follows: ; in, It is a preset temperature reduction coefficient, usually between 0.8 and 0.99; A6. Repeat steps S2-S5 until the preset termination condition is reached. The termination condition is: 1. The temperature drops below a certain threshold; 2. Multiple consecutive iterations fail to improve the current solution; A7. The algorithm ends when any one of the termination conditions is met, and the current solution is the optimal height combination found.

[0011] Preferably, in step A1, the cooling rate is determined by the cooling coefficient control, the temperature reduction coefficient The value range of is between 0.8 and 0.99; The initial temperature T is estimated according to the difference between the maximum value and the minimum value of the fitness function. The value of the initial temperature T is obtained by estimation. The estimation process is as follows: ; in, is the difference between the maximum and minimum values ​​of the fitness function; R is a preset acceptance probability threshold, and the acceptance probability threshold is based on the noise reduction amount required to be achieved by the multi-layer water-falling silencer mechanism.

[0012] Preferably, in step A2, the neighbor solution is generated by randomly selecting a certain level and slightly increasing or decreasing its height, as follows: ; in, is the height of the i-th layer; is a small random value.

[0013] Technical effects and advantages of the present invention: 1. Compared with the existing technology, this adjustable sound-controlled noise reduction system based on slow flow energy release and its use method have better noise reduction effect, and the maximum noise reduction can reach more than 15dB (A), which means that in practical applications, the cooling tower noise can be significantly reduced, thereby improving the noise level of the surrounding environment and improving people's quality of life.

[0014] 2. Compared with the existing technology, this adjustable sound-controlled noise reduction system based on slow-flow energy release and its use method improve the heat exchange efficiency of the cooling tower by optimizing the water spraying and heat dissipation time, which not only helps to improve the operating efficiency of the equipment, but also reduces energy consumption and achieves the purpose of energy saving and consumption reduction.

[0015] 3. Compared with the prior art, this adjustable sound-controlled noise reduction system based on slow flow energy release and its use method adopts a modular, intelligent, and layered adjustable mode, which can automatically adjust the elevation position and relative spacing of the buffer device according to the cooling tower's own water density, water height, noise reduction requirements, and external environment. This intelligent adjustment mechanism enables the system to adapt to different operating conditions and maintain optimal performance.

[0016] 4. Compared with the existing technology, the adjustable sound-controlled noise reduction system based on slow-flow energy release and its use method The water noise control technology based on slow-flow energy release can better solve the shortcomings of traditional falling water silencers such as low noise reduction or large resistance loss of air inlet silencers. By improving heat dissipation efficiency and reducing energy consumption, the system not only reduces operating costs, but also reduces negative impacts on the environment, which is in line with the concept of green energy saving. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 It is a schematic diagram of the overall structure of the present invention.

[0018] Figure 2 It is a partial cross-sectional structural schematic diagram of the roller and the control processing unit of the present invention.

[0019] Figure 3 It is a front view stereoscopic effect diagram of the present invention as a whole.

[0020] Figure 4 It is a partial three-dimensional effect diagram of the multi-layer water-falling silencer mechanism and the real-time detection unit of the present invention.

[0021] Figure 5 It is a partial three-dimensional rendering of the framework and real-time detection unit of the water-falling silencer of the present invention.

[0022] Figure 6 The present invention is a flow chart of a method for using an adjustable sound-controlled noise reduction system based on slow-flow energy release.

[0023] Figure 7 This is a flow chart of the simulated annealing algorithm of the present invention.

[0024] The accompanying drawings are marked as follows: 1. control processing unit; 101. data storage device; 102. wireless receiver; 103. processor; 104. servo motor; 2. real-time detection unit; 201. aerodynamic performance sensor probe; 202. acoustic sensor probe; 203. sprinkler water temperature heat exchange efficiency detection probe; 3. multi-layer water falling silencer mechanism; 301. electric track; 302. water falling silencer device frame; 303. roller; 304. water falling silencer device; 3041. hole; 305. silencer shutter; 4. locking device; 401. mechanical clamp; 402. driving gear; 403. pressure sensor. DETAILED DESCRIPTION

[0025] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention. Example 1

[0026] As attached Figures 1 to 7 An adjustable sound-controlled noise reduction system based on slow-flow energy release is shown, comprising a control processing unit 1, a real-time detection unit 2 and a multi-layer water-falling silencer mechanism 3; The control processing unit 1 is used to analyze and compare the data collected by the real-time monitoring unit 2, and adjust the multi-layer water-falling silencer mechanism 3 according to the analysis and comparison. After receiving the data, the control processing unit 1 first performs necessary data preprocessing, including filtering, normalization and other operations to improve the data quality, and evaluates the current operating status of the cooling tower according to preset performance indicators such as noise reduction and heat dissipation efficiency. At the same time, the data of the real-time detection unit 2 is transmitted to the control processing unit 1 through a wireless network. It is key to ensure the stability and real-time performance of data transmission to avoid control errors caused by delays or data loss; The real-time detection unit 2 is used to monitor the working status of the cooling tower in real time. A plurality of real-time detection units 2 are arranged above the water pool at the bottom of the cooling tower, including an aerodynamic performance sensor probe 201 and an acoustic sensor probe 202, which are used to monitor key parameters such as water spray density, water spray height, and air flow rate in real time. These real-time detection units 2 can provide high-precision measurement data, providing a reliable basis for subsequent control and analysis. The real-time detection unit 2 is fixed above the water pool at the bottom of the cooling tower by bolts or other means that are easy to maintain, and it is opened for use only after the connection is firmly established; The multi-layer falling water silencer mechanism 3 is used to adjust the spacing between each layer of the falling water silencer device 304 according to preset data and real-time monitoring results. The multi-layer falling water silencer mechanism 3 is designed as a multi-layer structure with a certain spacing between each layer. According to the data processing results, the spacing between each layer of the multi-layer falling water silencer mechanism 3 is adjusted to change the noise reduction and heat dissipation efficiency of the cooling tower. By adjusting the spacing between the multi-layer falling water silencer mechanism 3, the noise level of the cooling tower can be effectively reduced to provide a quieter working environment. At the same time, by adjusting the spacing, the heat dissipation efficiency of the cooling tower can be improved through the falling water silencer device 304, and its working efficiency and performance can be improved. Real-time monitoring and adjustment can be carried out, and the spacing of the falling water silencer mechanism can be adjusted in time according to actual needs to adapt to different working conditions and requirements. Example 2

[0027] Based on Example 1, the solution in Example 1 is further detailed in combination with the following specific working method. Figures 1 to 7 As shown, see the following description for details: As a preferred embodiment, the multi-layer water muffler mechanism 3 includes an electric track 301, a water muffler frame 302, a roller 303, a water muffler 304 and a muffler shutter 305. The electric track 301 is made of high-strength aluminum alloy material, formed by precision machining, and anodized on the surface to improve corrosion resistance and wear resistance. It is installed on the top or side of the cooling tower to support and guide the movement of the water muffler frame 302. The electric track 301 is equipped with a motor and a control system to realize the function of automatic height adjustment, providing a stable mobile platform for the water muffler 304, so as to adjust its position as needed to achieve the best noise reduction effect. A water muffler frame 302 is provided on one side of the electric track 301, which is made of stainless steel to ensure a strong and durable structure.The frame is designed as a grid structure, which reduces weight and increases strength. Several groups of water silencer frames 302 are provided, and each group of water silencer frames 302 is evenly arranged along the vertical direction of the electric track 301, and is connected to the electric track 301 through the rollers 303 installed at the bottom, so that the entire water silencer frame 302 can move up and down smoothly, serving as the basic structure for carrying the water silencer 304, while ensuring that the water silencer 304 can flexibly adjust its height to adapt to the best working state under different environmental conditions. The contact surface between the water silencer frame 302 and the electric track 301 is provided with rollers 303, and the rollers 303 are made of wear-resistant rubber wrapped bearings. , and a layer of anti-aging coating is applied on the outside to extend the service life. A plurality of such rollers 303 are installed under each water-falling silencer frame 302. They directly contact the surface of the electric track 301, allowing the water-falling silencer frame 302 to slide easily without damaging the electric track 301. The rollers 303 reduce the friction resistance, making the movement of the water-falling silencer frame 302 smoother; at the same time, they also play a role in buffering vibration and reducing the possibility of noise generation. A water-falling silencer 304 is arranged inside the water-falling silencer frame 302. The main part of the water-falling silencer 304 is made of a lightweight but high-strength composite material such as carbon fiber reinforced plastic. The interior is filled with glass wool, a sound-absorbing material, and a plurality of holes 3041 are provided on its outer wall. The outer wall of the water silencer 304 is provided with holes 3041, and there are several groups of holes 3041, and each group of holes 3041 is evenly arranged along the horizontal direction of the water silencer 304. Multiple groups of water silencers 304 are arranged in the water silencer 304 at a certain interval. When water flows through, it will first hit the water silencer 304, and then disperse into small droplets through the holes 3041 and fall into the pool below, thereby greatly reducing the sound caused by direct water falling. There are several groups of water silencers 304, and each group of water silencers 304 is evenly arranged along the vertical direction of the frame. The silencer 304 can effectively absorb and disperse the energy generated during the falling water process, significantly reducing the noise pollution caused by water droplets hitting the water surface. A silencer louver 305 is arranged above the falling water silencer frame 302. The silencer louver 305 is assembled after being stamped and formed from galvanized steel plates. A certain gap is left between the blades of the silencer louver 305 to allow air circulation, and the silencer louver 305 is arranged on the air inlet of the cooling tower, arranged above the falling water silencer frame 302, and installed and fixed at the position of the air inlet of the cooling tower, which further blocks the entry of external noise while allowing air to freely enter and exit, maintaining good ventilation conditions while reducing air noise; in addition, it can also prevent debris from entering the system and causing damage.

[0028] As a preferred embodiment, the real-time detection unit 2 includes an aerodynamic performance sensor probe 201, an acoustic sensor probe 202 and a water temperature heat exchange efficiency detection probe 203. The aerodynamic performance sensor probe 201 is a model manufactured using high-precision MEMS micro-electromechanical system technology to ensure the high sensitivity and stability of the sensor. The shell material is made of corrosion-resistant and high-temperature resistant special plastics to adapt to various harsh environmental conditions. The aerodynamic performance sensor probe 201 is located on the outer wall of the electric track 301. The aerodynamic performance sensor probe 201 is installed on the outer wall of the electric track 301 and is tightly connected to the electric track 301 through a special fixed bracket. The selection of this position is to accurately capture the air flow inside the cooling tower, thereby providing reliable data support for monitoring the aerodynamic characteristics in the cooling tower, such as changes in parameters such as wind speed and wind direction. This information is crucial for optimizing the cooling process. An acoustic sensor probe 202 is arranged below the aerodynamic performance sensor probe 201. The acoustic sensor probe 202 is a model developed based on advanced digital signal processing technology and has excellent noise suppression capabilities. Its core components include a high-sensitivity microphone array and supporting data analysis software, which are arranged below the aerodynamic performance sensor probe 201 and are also fixed to the appropriate position of the electric track 301 through a bracket. The purpose of this layout is to better collect sound samples from different directions and improve measurement accuracy. It is mainly used to record and analyze the noise level and distribution characteristics generated during the operation of the cooling tower. Acoustic sensors A water sprinkling water temperature heat exchange efficiency detection probe 203 is provided on one side of the sensor probe 202. The water sprinkling water temperature heat exchange efficiency detection probe 203 uses a combination of infrared temperature measurement technology and a thermal imager to achieve non-contact temperature measurement. The sensor head adopts a waterproof design to prevent rainwater from infiltrating and affecting normal operation. It is placed next to the acoustic sensor probe 202, directly facing the falling water droplet flow area. This arrangement allows the water sprinkling water temperature heat exchange efficiency detection probe 203 to quickly and accurately obtain the changes in the surface temperature of each drop of liquid. It is specifically used to evaluate the heat exchange efficiency between water and air during the cooling process. By continuously monitoring key indicators such as the inlet and outlet water temperature difference and flow rate, abnormal conditions can be discovered in time.

[0029] As a preferred embodiment, the control processing unit 1 includes a data storage device 101, a wireless receiver 102, a processor 103 and a servo motor 104. The data storage device 101 uses a Samsung 860 EVO solid-state drive (SSD) as a main storage medium, has high-speed reading and writing capabilities and good shock resistance, and the external packaging uses high-strength alloy materials to ensure stable operation even in harsh environments. The data storage device 101 is installed inside the control processing unit 1 and is connected to other components such as the wireless receiver 102 and the processor 103 through a high-speed bus. It is used to store the data collected from each sensor of the real-time detection unit 2 and the system configuration information, providing a large-capacity, safe and reliable data storage solution for the entire control system, supporting long-term continuous operation without frequent replacement of the medium; at the same time, it is convenient for later data analysis and maintenance upgrades. A wireless receiver 102 is arranged on one side of the data storage device 101. The model of the wireless receiver 102 is ESP8266, which is developed based on the latest Wi-Fi 6 standard and has a built-in multi-antenna array to enhance the signal receiving capability. The shell of the wireless receiver 102 adopts a waterproof and dustproof design, which is suitable for outdoor use. It is arranged next to the data storage device 101 and is directly connected to the latter through a dedicated interface. The wireless receiver 102 can receive commands or configuration files sent from a remote monitoring center or other smart devices, realizing remote access and control of the cooling tower status parameters. A processor 103 is arranged on one side of the wireless receiver 102. The model of the processor 103 is Raspberry Pi 4 Model B, this high-performance embedded ARM architecture microcontroller is the core, supplemented by customized firmware programs. The overall modular design concept of the processor 103 is convenient for the later expansion of functional modules. It is located next to the wireless receiver 102 and communicates with it through cables. It is responsible for executing complex logical judgment algorithms and acts as the brain center to command the coordinated operation of all peripheral devices to ensure that the entire system operates efficiently according to preset rules.

[0030] A servo motor 104 is disposed on one side of the processor 103. The servo motor 104 is a brushless DC motor produced by precision manufacturing technology and is equipped with a high-precision encoder feedback loop. The exterior is made of stainless steel, which has good corrosion resistance and heat dissipation effect. One side of the servo motor 104 is connected to the roller 303. After receiving the control signal from the processor 103, it drives the roller 303 to move up and down along the electric track 301, providing powerful and stable power output, so that the falling water silencer can flexibly adjust the height to adapt to different working conditions; at the same time, due to its low noise characteristics, it will not cause additional interference to the surrounding environment. Through the control of the servo motor 104 by the processor 103, the servo motor 104 drives the roller 303 to move up and down along the electric track 301. A locking device 4 is provided on one side of the roller 303. The locking device 4 includes a mechanical clamp 401, a driving gear 402 and a pressure sensor 403. The mechanical clamp 401 is forged from high-strength alloy steel, and the surface is specially treated to increase wear resistance. Both ends of the mechanical clamp 401 are provided with anti-slip teeth to increase the gripping force, which are respectively installed on the left and right sides of the roller 303. When it needs to be fixed When the mechanical clamp 401 is engaged, it can be manually clamped into the groove of the electric track 301. The mechanical clamp 401 is arranged on both sides of the roller 303. A driving gear 402 is arranged on one side of the mechanical clamp 401. It is made of nylon composite material injection molding, which is light in weight but high in strength and not easy to deform. The tooth surface is hardened to extend the service life. It is sleeved on the outside of the mechanical clamp 401 and meshed with its axis. The other end is connected to the output end of the servo motor 104 to convert the rotational motion into a linear thrust force, helping the mechanical clamp 401 to more smoothly insert or exit the gap of the roller 303 to stop the movement of the roller 303. A pressure sensor 403 is arranged on one side of the driving gear 402, and the pressure sensor 403 is connected to the processor 103. The model of the pressure sensor 403 is MSP430FR5969. The pressure sensor 403 feeds back the actual clamping force to the processor 103 so that the latter can adjust the motor torque output according to the actual situation to avoid excessive pressure to damage components or loosening and failure.

[0031] As a preferred embodiment, a method for using an adjustable sound-controlled noise reduction system based on slow-flow energy release is provided, and the steps of the method are as follows: S1, the real-time monitoring unit 2 is set on the multi-layer falling water silencer mechanism 3 to detect the noise value and heat dissipation efficiency changes at the bottom of the cooling tower in real time; S2, after receiving the real-time detection data from the real-time detection unit 2, the control processing unit 1 performs data analysis and comparison and calculates the height of the silencer device on each floor; S3, the control processing unit 1 automatically allocates the servo motor 104 to drive and adjust the distance between each layer of the multi-layer falling water silencer mechanism 3 according to the calculation structure to change the actual noise reduction amount and heat dissipation efficiency of the cooling tower.

[0032] The method for using an adjustable sound-controlled noise reduction system based on slow-flow energy release, the water sprinkling noise control technology based on slow-flow energy release is a new technology for source control of cooling tower water sprinkling noise, which is mainly used for the control and control of cooling tower noise in gas turbine power plants, while further optimizing the water sprinkling heat dissipation time and improving the heat exchange efficiency of cooling towers. This technology has a better noise reduction effect, with the maximum noise reduction amount reaching more than 15dB (A); at the same time, its modular, intelligent, and layered adjustable mode can automatically adjust the elevation position and relative spacing of the buffer device according to the cooling tower's own water sprinkling density, water sprinkling height, noise reduction requirements and external environment, thereby changing the falling water heat exchange time and the water sprinkling impact potential energy, and effectively controlling the noise reduction requirements and heat dissipation efficiency.

[0033] As a preferred embodiment, in step S2, the target noise reduction amount preset in the processor 103 is first determined by the environmental protection standard, and the field data of the cooling tower is collected by the real-time monitoring unit 3, so as to calculate the theoretical noise reduction effect of the silencer at different heights using the sound pressure level difference formula, and the sound pressure level difference formula is as follows: ; in, is the sound pressure level difference, h1 and h2 are the different heights of the two groups of water silencers 304; First, the preset target noise reduction amount is determined by the environmental protection standard, and then the real-time detection unit 2 is used to collect the cooling tower field data, and the theoretical noise reduction effect of the falling water silencer 304 at different heights is calculated according to the sound pressure level difference formula to provide basic data for subsequent optimization. At the same time, the processor 103 calculates the influence of different heights on the water flow rate and the heat dissipation effect through the Bernoulli equation. The Bernoulli equation is: ; Among them, v is the velocity; g is the acceleration due to gravity; h is the height; p is the pressure; is the density of water, The processor 103 uses the Bernoulli equation to calculate the impact of different heights of the water silencer 304 on the water flow rate and heat dissipation effect. At the same time, it uses two sets of formulas to comprehensively consider the sound pressure level difference and flow rate changes, and dynamically adjusts the height of the multi-layer water silencer mechanism 3 to achieve the best balance between noise reduction and heat dissipation.

[0034] As a preferred implementation, after the processor 103 obtains data through the sound pressure level difference formula and the Bernoulli equation, it uses a simulated annealing algorithm to calculate the optimal height combination that meets the requirements of noise reduction and heat dissipation efficiency. The steps of the simulated annealing algorithm are as follows: A1. Select an initial solution as the current solution, set a higher initial temperature T, and determine the cooling rate. This step is the starting point of the simulated annealing algorithm. By setting a high temperature state, the system has enough data width to explore the solution space, thereby increasing the possibility of finding the global optimal solution. A2, the processor 103 makes a small random change to the current solution to generate one or more neighbor solutions. This step introduces randomness, allowing the algorithm to conduct a wide search in the solution space to avoid falling into a local optimal solution; A3. Calculate the fitness function for the current solution and neighbor solutions. The fitness function is as follows: ; Where h is a vector containing all layer heights; Nh is a measure of the amount of noise reduction; Eh is a measure of the heat dissipation efficiency; and is the weight coefficient. The fitness function is an important criterion for measuring the quality of the solution. It guides the search direction of the algorithm. The fitness function is used to evaluate the quality of the current solution. It combines the two goals of noise reduction and heat dissipation efficiency and conducts a comprehensive evaluation through the weight coefficient. The fitness function guides the search direction of the simulated annealing algorithm to ensure that the optimization process moves towards the global optimal solution. A4. Through the operation of fitness function, the following judgment is made: Step 1: If the fitness of the neighbor solution is higher than the fitness of the current solution, the neighbor solution is accepted as the new current solution, otherwise, go to step 2; Step 2: If the fitness of the neighbor solution is lower than the fitness of the current solution, decide whether to accept the neighbor solution based on the probability P. The calculation formula of probability P is as follows: ; in, is the fitness of the neighbor solution; is the fitness of the current solution; T is the current temperature; According to the result of the fitness function, decide whether to accept the new solution. If the new solution is better, accept it directly; otherwise, decide whether to accept the inferior solution according to the probability P. This step reflects the core idea of ​​the simulated annealing algorithm - allowing a certain probability to accept the inferior solution, so as to jump out of the local optimum and approach the global optimum, so as to find the parameters that achieve the best balance between noise reduction and heat dissipation.

[0035] A5. The processor 103 reduces the temperature T at a predetermined cooling rate. A geometric cooling strategy is used to reduce the temperature T. The geometric cooling strategy is as follows: ; in, It is a preset cooling coefficient, usually between 0.8 and 0.99, which reduces the temperature T at a predetermined cooling rate. The cooling strategy usually adopts geometric cooling to ensure that the temperature gradually decreases and the system tends to be stable; A6. Repeat steps S2-S5 until the preset termination condition is reached. The termination condition is: 1. The temperature drops below a certain threshold; 2. Multiple consecutive iterations fail to improve the current solution; This step ensures that the algorithm can converge to a near-optimal solution within a limited time, thereby increasing the processing speed of the system and avoiding affecting the noise reduction efficiency during the computing time of the processor 103 .

[0036] A7. The algorithm ends when any of the termination conditions is met, and the current solution is the optimal height combination found. Further, the algorithm ends when any of the termination conditions is met, and the current solution is the optimal height combination found. This step marks the completion of the simulated annealing algorithm, and the output optimal solution will be used to guide the adjustment of the actual system.

[0037] As a preferred embodiment, in step A1, the cooling rate is calculated by the cooling coefficient Control, cooling coefficient The value range of is between 0.8 and 0.99. Furthermore, a higher initial temperature and a slower cooling rate help the algorithm to search extensively in the solution space and find the global optimal solution. The initial temperature T is estimated based on the difference between the maximum and minimum values ​​of the fitness function. The value of the initial temperature T is obtained by estimation. The estimation process is as follows: ; in, is the difference between the maximum and minimum values ​​of the fitness function; R is a preset acceptance probability threshold, which is based on the noise reduction required by the multi-layer water-falling silencer mechanism 3. The initial temperature T is estimated based on the difference between the maximum and minimum values ​​of the fitness function. By setting a higher initial temperature, the system has enough "energy" to explore in a wide search space, avoiding premature convergence to the local optimal solution, and as the temperature gradually decreases, the probability of accepting an inferior solution also decreases. This dynamic adjustment strategy ensures that the algorithm can explore extensively in the early stage, and tends to refine the search in the later stage, and finally converges to the global optimal solution.

[0038] As a preferred implementation, in step A2, the neighbor solution is generated by randomly selecting a certain level and slightly increasing or decreasing its height, as follows: ; in, is the height of the i-th layer; Is a small random value, generates a random decimal value , the height of the selected level Add random value , get new heights , ensure that the adjusted height It is still within a reasonable range; usually the range of this value can be set to a smaller interval, such as [−0.1, 0.1][−0.1, 0.1]. By adjusting the height of a certain level by a small amount, the overall performance of the system can be gradually optimized and the instability caused by large changes can be avoided. The random selection of levels and adjustment ranges helps to explore more solution spaces and increase the probability of finding the optimal solution.

[0039] The working process of the present invention is as follows: first, a multi-layer falling water silencer mechanism 3 is set above the water pool at the bottom of the cooling tower, and a control processing unit 1 and a real-time detection unit 2 are set, wherein the real-time detection unit 2 includes an acoustic noise detection probe 202, a water temperature heat exchange efficiency detection probe 203 and an aerodynamic performance sensor probe 201. The probe and the sensor monitor the noise value, heat dissipation efficiency and related parameters such as the water temperature and steam flow rate at the bottom of the cooling tower in real time. The detected data is compared with the preset target value by the control processing unit 1 to determine whether adjustment is required. According to the comparison result, the control processing unit 1 performs calculations to obtain a result, which drives the servo motor 104 to adjust the height between the falling water silencers 304 on each layer, change the falling water heat exchange time and the water impact potential energy, thereby adjusting the actual noise reduction amount and heat dissipation efficiency until the target value is reached. Through this automatic adjustment mechanism, the technology can effectively improve the noise reduction amount of the air inlet without sacrificing the air intake efficiency of the cooling tower, and is particularly suitable for environments where the air intake resistance of the cooling tower is required to be high. The above is the working principle of the adjustable sound-controlled noise reduction system based on slow flow energy release and its use method.

Claims

1. An adjustable sound-controlled noise reduction system based on slow-flow energy release, comprising a control processing unit (1), a real-time detection unit (2) and a multi-layer water-falling silencer mechanism (3), characterized in that: The control processing unit (1) is used to analyze and compare the data collected by the real-time monitoring unit (2), and adjust the multi-layer water-falling silencer mechanism (3) according to the analysis and comparison; The real-time detection unit (2) is used to monitor the working status of the cooling tower in real time; The multi-layer water-falling silencer mechanism (3) is used to adjust the spacing between each layer of the water-falling silencer (304) according to preset data and real-time monitoring results, thereby changing the actual noise reduction amount and heat dissipation efficiency of the cooling tower.

2. The adjustable sound-controlled noise reduction system based on slow-flow energy release according to claim 1, characterized in that: The multi-layer water muffler mechanism (3) comprises an electric track (301), a water muffler frame (302), a roller (303), a water muffler (304) and a muffler shutter (305). A water muffler frame (302) is provided on one side of the electric track (301). The water muffler frames (302) are provided in a plurality of groups, and each group of the water muffler frames (302) is evenly arranged in a vertical direction of the electric slide rail (301). The contact surfaces of the water muffler frames (302) and the electric slide rail (301) are provided with rollers (303). A water muffler (304) is arranged inside the frame (302), the water muffler (304) is provided with a plurality of groups, and each group of the water muffler (304) is evenly arranged along the vertical direction of the frame (301), holes (3041) are arranged on the outer wall of the water muffler (304), the holes (3041) are provided with a plurality of groups, and each group of the holes (3041) is evenly arranged along the horizontal direction of the water muffler (304), and a sound-absorbing louver (305) is arranged above the water muffler frame (302), and the sound-absorbing louver (305) is arranged on the air inlet of the cooling tower.

3. The adjustable sound-controlled noise reduction system based on slow-flow energy release according to claim 2, characterized in that: The real-time detection unit (2) comprises an aerodynamic performance sensor probe (201), an acoustic sensor probe (202) and a water spraying water temperature heat exchange efficiency detection probe (203); the aerodynamic performance sensor probe (201) is located on the outer wall of the electric track (301); an acoustic sensor probe (202) is arranged below the aerodynamic performance sensor probe (201); and a water spraying water temperature heat exchange efficiency detection probe (203) is arranged on one side of the acoustic sensor probe (202).

4. The adjustable sound-controlled noise reduction system based on slow-flow energy release according to claim 2, characterized in that: The control processing unit (1) comprises a data storage device (101), a wireless receiver (102), a processor (103) and a servo motor (104); a wireless receiver (102) is arranged on one side of the data storage device (101); a processor (103) is arranged on one side of the wireless receiver (102); a servo motor (104) is arranged on one side of the processor (103); one side of the servo motor (104) is connected to the roller (303); the servo motor (104) is controlled by the processor (103) so that the servo motor (104) drives the roller (303) to move along the electric track (301) is displaced up and down, a locking device (4) is provided on one side of the roller (303), the locking device (4) comprises a mechanical clamp (401), a driving gear (402) and a pressure sensor (403), the mechanical clamp (401) is provided on both sides of the roller (303), a driving gear (402) is provided on one side of the mechanical clamp (401), and the mechanical clamp (401) is connected to the servo motor (104) through the driving gear (402), a pressure sensor (403) is provided on one side of the driving gear (402), and the pressure sensor (403) is connected to the processor (103).

5. A method for using an adjustable sound-controlled noise reduction system based on slow-flow energy release, applied to an adjustable sound-controlled noise reduction system based on slow-flow energy release according to any one of claims 1 to 4, characterized in that: The steps of the method are as follows: S1, the real-time detection unit (2) is arranged on the multi-layer water-falling silencer mechanism (3) to perform real-time detection of the noise value at the bottom of the cooling tower and the change of heat dissipation efficiency; S2, the control processing unit (1) receives the real-time detection data from the real-time detection unit (3), performs data analysis and comparison, and then calculates the height of the silencer device on each layer; S3, the control processing unit (1) automatically allocates the servo motor (104) according to the calculation structure to drive and adjust the distance between each layer of the multi-layer falling water silencer mechanism (3) to change the actual noise reduction amount and heat dissipation efficiency of the cooling tower.

6. The method for using the adjustable sound-controlled noise reduction system based on slow-flow energy release according to claim 5, characterized in that: In step S2, the target noise reduction amount preset in the processor (103) is first determined by environmental protection standards, and the field data of the cooling tower is collected by the real-time monitoring unit (3), so as to calculate the theoretical noise reduction effect of the silencer at different heights using a sound pressure level difference formula, and the sound pressure level difference formula is as follows: ; in, is the sound pressure level difference, h1 and h2 are the different heights of the two groups of the falling water silencer devices (304); At the same time, the processor (103) calculates the influence of different heights on the water flow rate and the heat dissipation effect through the Bernoulli equation, and the Bernoulli equation is: ; Among them, v is the velocity; g is the acceleration due to gravity; h is the height; p is the pressure; is the density of water.

7. The method for using the adjustable sound-controlled noise reduction system based on slow-flow energy release according to claim 6, characterized in that: After the processor (103) obtains data through the operation of the sound pressure level difference formula and the Bernoulli equation, it uses a simulated annealing algorithm to calculate the optimal height combination that meets the requirements of noise reduction and heat dissipation efficiency. The steps of the simulated annealing algorithm are as follows: A1. Select an initial solution as the current solution, set a higher initial temperature T, and determine the cooling rate; A2. causing the processor (103) to make a small random change to the current solution to generate one or more neighbor solutions; A3. Calculate the fitness function for the current solution and the neighbor solution. The fitness function is as follows: ; Where h is a vector containing all layer heights; N(h) is a measure of the amount of noise reduction; E(h) is a measure of the heat dissipation efficiency; and is the weight coefficient; A4. Through the operation of the fitness function, the following judgment is made: Step 1: If the fitness of the neighbor solution is higher than the fitness of the current solution, the neighbor solution is accepted as the new current solution, otherwise, the process proceeds to step 2; Step 2: If the fitness of the neighbor solution is lower than the fitness of the current solution, decide whether to accept the neighbor solution according to probability P. The calculation formula of probability P is as follows: ; in, is the fitness of the neighbor solution; is the fitness of the current solution; T is the current temperature; A5. The processor (103) reduces the temperature T at a predetermined cooling rate. A geometric cooling strategy is used to reduce the temperature T. The geometric cooling strategy is as follows: ; in, It is a preset temperature reduction coefficient, usually between 0.8 and 0.99; A6. Repeat steps S2-S5 until the preset termination condition is reached. The termination condition is:

1. The temperature drops below a certain threshold; 2. Multiple consecutive iterations fail to improve the current solution; A7. The algorithm ends when any one of the termination conditions is met, and the current solution is the optimal height combination found.

8. The method for using the adjustable sound-controlled noise reduction system based on slow-flow energy release according to claim 7, characterized in that: In step A1, the cooling rate is determined by the cooling coefficient control, the temperature reduction coefficient The value range of is between 0.8 and 0.99; The initial temperature T is estimated according to the difference between the maximum value and the minimum value of the fitness function. The value of the initial temperature T is obtained by estimation. The estimation process is as follows: ; in, is the difference between the maximum value and the minimum value of the fitness function; R is a preset acceptance probability threshold, and the acceptance probability threshold is based on the noise reduction amount required to be achieved by the multi-layer water-falling silencer mechanism (3).

9. The method for using the adjustable sound-controlled noise reduction system based on slow-flow energy release according to claim 7, characterized in that: In step A2, the neighbor solution is generated by randomly selecting a certain level and slightly increasing or decreasing its height, as follows: ; in, is the height of the i-th layer; is a small random value.

Citation Information

Patent Citations

  • Dropped water silencing device of cooling tower

    CN220153311U