Noise reduction device for water cooling tower

Abstract

The utility model belongs to the technical field of noise reduction processing, and particularly relates to a noise reduction device for a water cooling tower, which comprises a noise acquisition component, the noise acquisition component is connected with a digital signal processor, and the digital signal processor is connected with a sound wave counteracting component; the noise acquisition assembly comprises a microphone, a signal amplifier is arranged in the microphone, the sound wave offset assembly comprises an equipment box, a digital signal processor is installed at the top end in the equipment box, a power amplifier is installed at the bottom end in the equipment box, and a digital potentiometer is installed at the bottom end in the equipment box. A programmable gain amplifier is mounted at the bottom end in the equipment box; the device is small in occupied area and easy to maintain, the heat exchange effect of the water cooling tower is not affected, real-time noise reduction can be achieved, the noise reduction effect is more obvious, the digital potentiometer dynamically and finely tunes the phase of the reverse-phase wave according to environment temperature and humidity changes or propagation path delay, and the stability of the offset effect is ensured.

Description

Technical Field

[0001] This utility model belongs to the field of noise reduction technology, specifically referring to a noise reduction device for cooling towers. Background Technology

[0002] Cooling towers are industrial circulating water cooling equipment that achieves heat exchange through direct contact between sprayed water and air, and are widely used in power, chemical and other fields. During operation, the water spraying device, fan, and circulating water pump generate significant noise, with the main energy concentrated in the low-frequency range (<500Hz). This noise is characterized by long propagation distance and strong penetration, causing acoustic pollution to surrounding residential areas and working environments.

[0003] Existing noise reduction technologies mostly rely on passive sound insulation facilities. Although such facilities can absorb or isolate noise to a certain extent, they have significant limitations: First, they occupy a large amount of physical space, which affects equipment operation and maintenance and site planning; second, they have insufficient coverage of noise reduction frequency bands, especially for low-frequency noise suppression. Utility Model Content

[0004] To address the aforementioned problems, this utility model proposes a noise reduction device for cooling towers.

[0005] The technical solution adopted by this utility model is as follows: This utility model provides a noise reduction device for cooling towers, including a noise acquisition component, which is connected to a digital signal processor, and the digital signal processor is connected to a sound wave cancellation component; the noise acquisition component includes a microphone, and the microphone is equipped with a signal amplifier.

[0006] Furthermore, the acoustic wave cancellation component includes a device housing, with a digital signal processor installed at the top of the housing, a power amplifier installed at the bottom of the housing, a digital potentiometer installed at the bottom of the housing, and a programmable gain amplifier installed at the bottom of the housing.

[0007] Furthermore, the microphone is connected to a signal amplifier, the signal amplifier is connected to a digital signal processor, the digital signal processor is connected to a sound wave generator, the digital signal processor is connected to a power amplifier, the digital signal processor is connected to a digital potentiometer, and the digital signal processor is connected to a programmable gain amplifier.

[0008] Furthermore, the digital signal processor uses a standard Fourier transform algorithm to calculate the parameters of the antiphase wave, which has the same amplitude as the noise but opposite phase.

[0009] Furthermore, the digital signal processor employs a filtered minimum mean square error algorithm to decompose the noise spectrum and extract the main frequency component.

[0010] The beneficial effects of this utility model by adopting the above structure are as follows:

[0011] (1) This device occupies a small area, is easy to maintain, does not affect the heat exchange effect of the cooling tower, and can achieve real-time noise reduction with a more obvious noise reduction effect.

[0012] (2) The digital potentiometer dynamically fine-tunes the phase of the antiphase wave according to changes in ambient temperature and humidity or propagation path delay, ensuring the stability of the cancellation effect.

[0013] (3) The programmable gain amplifier tracks the noise intensity change in real time and dynamically adjusts the amplitude of the anti-phase wave to adapt to the fluctuation of the cooling tower operating conditions. Attached Figure Description

[0014] To more clearly illustrate the technical solution of this utility model, the drawings used in the description will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this utility model. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0015] Figure 1 This is a schematic diagram of the structure of a noise reduction device for a cooling tower according to the present invention.

[0016] The components include: 1. Noise acquisition component; 2. Digital signal processor; 3. Acoustic wave cancellation component; 4. Equipment box; 5. Microphone; 6. Signal amplifier; 7. Acoustic wave generator; 8. Power amplifier; 9. Digital potentiometer; and 10. Programmable gain amplifier. Detailed Implementation

[0017] To make the objectives, features, and advantages of this utility model more apparent and understandable, the technical solutions of this utility model will be clearly and completely described below with reference to the accompanying drawings of the specific embodiments. Obviously, the embodiments described below are only some embodiments of this utility model, and not all embodiments. Based on the embodiments of this patent, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this patent.

[0018] like Figure 1 As shown, this utility model proposes a noise reduction device for cooling towers, including a noise acquisition component 1, which is connected to a digital signal processor 2. The digital signal processor 2 is connected to a sound wave cancellation component 3. The sound wave cancellation component 3 includes a device box 4. The digital signal processor 2 is installed at the top inside the device box 4, and a power amplifier 8 is installed at the bottom inside the device box 4. A digital potentiometer 9 is installed at the bottom inside the device box 4, and a programmable gain amplifier 10 is installed at the bottom inside the device box 4. The noise acquisition component 1 includes a microphone 5, and a signal amplifier 6 is installed inside the microphone 5.

[0019] Microphone 5 is connected to signal amplifier 6, signal amplifier 6 is connected to digital signal processor 2, digital signal processor 2 is connected to sound wave generator 7, digital signal processor 2 is connected to power amplifier 8, digital signal processor 2 is connected to digital potentiometer 9, and digital signal processor 2 is connected to programmable gain amplifier 10.

[0020] Digital signal processor 2 uses a standard Fourier transform algorithm to calculate the parameters of an antiphase wave with the same amplitude but opposite phase as the noise.

[0021] Digital signal processor 2 uses a filtering-type minimum mean square error algorithm to decompose the noise spectrum and extract the main frequency component. The formula is: Inverted wave signal ,in These are the weights for the adaptive filter.

[0022] In practical use, microphone 5 and sound wave generator 7 are installed around the cooling tower. Microphone 5 captures the noise of the cooling tower and converts the sound pressure signal into a weak electrical signal. Signal amplifier 6 amplifies the electrical signal. Digital signal processor 2 converts the amplified analog signal into a digital signal and decomposes the noise spectrum using a common Fourier transform algorithm to extract the main frequency component. The parameters of the anti-phase wave with the same amplitude but opposite phase (180°) to the noise are calculated using a filter-type minimum mean square error algorithm. Sound wave generator 7 generates the basic anti-phase wave signal according to the instructions of digital signal processor 2. The function of digital potentiometer 9 is to fine-tune the phase of the anti-phase wave to compensate for propagation delay and environmental disturbances. The function of programmable gain amplifier 10 is to dynamically adjust the amplitude of the anti-phase wave to match the noise intensity, thereby reducing the noise of the cooling tower. The above is the overall working process of this utility model. This process can be repeated for the next use.

[0023] As can be seen from the above embodiments, the beneficial effects of this utility model are as follows:

[0024] This device occupies a small area, is easy to maintain, does not affect the heat exchange effect of the cooling tower, and can achieve real-time noise reduction with a more obvious effect. The digital potentiometer dynamically fine-tunes the phase of the anti-phase wave according to changes in ambient temperature and humidity or propagation path delay to ensure the stability of the cancellation effect. The programmable gain amplifier tracks changes in noise intensity in real time and dynamically adjusts the amplitude of the anti-phase wave to adapt to fluctuations in the operating conditions of the cooling tower.

[0025] The above description of the disclosed embodiments enables those skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A noise reduction device for cooling towers, characterized in that: The device includes a noise acquisition component (1), which is connected to a digital signal processor (2), and the digital signal processor (2) is connected to a sound wave cancellation component (3); the noise acquisition component (1) includes a microphone (5), and the microphone (5) contains a signal amplifier (6); the sound wave cancellation component (3) includes a device housing (4), the digital signal processor (2) is installed at the top inside the device housing (4), the power amplifier (8) is installed at the bottom inside the device housing (4), the digital potentiometer (9) is installed at the bottom inside the device housing (4), and the programmable gain amplifier (10) is installed at the bottom inside the device housing (4); the microphone (5) is connected to the signal amplifier (6), the signal amplifier (6) is connected to the digital signal processor (2), the digital signal processor (2) is connected to a sound wave generator (7), the digital signal processor (2) is connected to the power amplifier (8), the digital signal processor (2) is connected to the digital potentiometer (9), and the digital signal processor (2) is connected to the programmable gain amplifier (10).

2. The noise reduction device for cooling towers according to claim 1, characterized in that: The digital signal processor (2) uses the ordinary Fourier transform algorithm to calculate the parameters of the antiphase wave with the same amplitude and opposite phase as the noise.

3. The noise reduction device for cooling towers according to claim 2, characterized in that: The digital signal processor (2) uses a filtered minimum mean square error algorithm to decompose the noise spectrum and extract the main frequency component.

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