Active vibration isolation method based on noise reduction technology

Abstract

This invention relates to the field of active vibration isolation technology, and more particularly to an active vibration isolation method based on noise reduction technology, comprising: acquiring in real time the noise signal of turbine A in a set of turbine units; determining the noise signal type based on the noise characteristic characterization parameters of the noise signal, and determining a strategy for generating a noise cancellation signal according to the noise intensity evaluation value of the corresponding noise signal type; determining the movement strategy of different sound-absorbing layers of the vibration isolation box based on the noise cancellation characteristic evaluation value of the noise cancellation signal to output the noise cancellation signal to turbine B adjacent to turbine A; determining the qualification of the noise cancellation signal based on the sound intensity value of the output noise cancellation signal and the noise signal of turbine B; and, if the noise cancellation signal is determined to be unqualified, determining to increase the gap between different sound-absorbing layers or increase the pores of the same sound-absorbing layer based on the difference between the sound intensity value and the preset sound intensity value. This invention improves the vibration isolation efficiency of turbine noise.

Description

Technical Field

[0001] This invention relates to the field of active vibration isolation technology, and in particular to an active vibration isolation method based on noise reduction technology. Background Technology

[0002] Noise reduction technology refers to reducing or eliminating unwanted sounds through a series of specific methods or devices, thereby improving sound quality. Active vibration isolation technology refers to the technology of isolating and reducing vibration transmission through active control. Traditional vibration isolation methods mainly rely on passive vibration isolation, which has limited effectiveness in dealing with high-frequency vibration or complex vibration environments. With the development of technologies such as sensors, controllers, and actuators, active vibration isolation technology has gradually been applied. Active vibration isolation technology reduces vibration transmission by monitoring vibration in real time and making real-time adjustments, which can more effectively cope with complex vibration environments such as power plant turbines and improve vibration isolation effect.

[0003] Chinese patent application publication number CN103324799A discloses an active vibration isolation method for the angular vibration of an optical system in a full-stripper seeker. This method includes introducing a ball joint connection between the optical system and the missile body, designing the center of mass of the optical system to coincide with the center of the ball joint, thus preventing structural line vibration from introducing coupled angular vibration. Then, by constructing a Sky-Hook damping model, the angular vibration response and excitation become classic Sky-Hook models, allowing for the selection of appropriate spring stiffness and damping values ​​based on the system's vibration isolation requirements. Finally, through active angular vibration isolation control, the angular vibration response of the optical system under angular vibration excitation achieves good attitude reproduction within the missile's maneuvering frequency band and effective vibration isolation within the noise vibration frequency band. However, existing technologies have the following problems: they do not finely address the noise of the turbine operating environment, resulting in high noise pollution during turbine operation and consequently low vibration isolation efficiency. Summary of the Invention

[0004] Therefore, the present invention provides an active vibration isolation method based on noise reduction technology to overcome the problem that the existing technology does not perform refined processing of the noise of the turbine operating environment, resulting in high noise pollution during the operation of the turbine unit, and thus low vibration isolation efficiency for turbine noise.

[0005] To achieve the above objectives, the present invention provides an active vibration isolation method based on noise reduction technology, comprising:

[0006] Several sensors are installed on the vibration isolation box to acquire the noise signal of turbine A in a set of steam turbine units in real time;

[0007] Based on the noise characteristic characterization parameters of the noise signal, the noise signal is determined to be mechanical noise or airflow noise. Based on the noise intensity evaluation value of the mechanical noise or airflow noise, a strategy for generating a noise cancellation signal is determined. The strategy includes extracting important parameters of the noise signal to generate a noise cancellation signal, or extracting all parameters of the noise signal to generate a noise cancellation signal.

[0008] Based on the evaluation value of the noise cancellation characteristics of the noise cancellation signal, the movement strategy of different sound-absorbing layers of the vibration isolation box is determined to output the noise cancellation signal to the turbine B adjacent to turbine A. The movement strategy includes moving different sound-absorbing layers to change the gap between different sound-absorbing layers, or moving different sound-absorbing layers to change the gap between different sound-absorbing layers while moving different sound-absorbing layers to change the porosity of the same sound-absorbing layer.

[0009] The passability of the noise cancellation signal is determined based on the sound intensity values ​​of the output noise cancellation signal and the turbine B noise signal;

[0010] If the noise cancellation signal is determined to be unqualified, the difference between the sound intensity value and the preset sound intensity value is used to determine whether to increase the gap between different sound-absorbing layers or to increase the pores of the same sound-absorbing layer.

[0011] Furthermore, under the condition of obtaining a noise signal, the noise signal is determined to be mechanical noise based on the comparison result of the noise characteristic characterization parameter of the noise signal being less than or equal to the threshold of the noise characteristic characterization parameter.

[0012] Furthermore, under the condition of obtaining a noise signal, the noise signal is determined to be airflow noise based on the comparison result that the noise characteristic characterization parameter of the noise signal is greater than the threshold of the noise characteristic characterization parameter.

[0013] Furthermore, given the type of noise signal, important parameters for extracting the noise signal are determined based on the comparison results of the noise intensity evaluation value being less than or equal to a preset noise intensity evaluation value, in order to generate a noise cancellation signal.

[0014] Furthermore, given the type of noise signal, all parameters of the noise signal are extracted based on the comparison result of the noise intensity evaluation value being greater than the preset noise intensity evaluation value, in order to generate a noise cancellation signal.

[0015] Furthermore, under the condition of determining the strategy for generating the noise cancellation signal, based on the comparison result that the noise cancellation feature evaluation value of the noise cancellation signal is less than or equal to the preset noise cancellation feature evaluation value, it is determined to move different noise cancellation layers to change the gap between different noise cancellation layers.

[0016] Furthermore, under the condition of determining the strategy for generating the noise cancellation signal, based on the comparison result that the noise cancellation feature evaluation value of the noise cancellation signal is greater than the preset noise cancellation feature evaluation value, it is determined to move different sound-absorbing layers to change the gap between different sound-absorbing layers, and at the same time move different sound-absorbing layers to change the porosity of the same sound-absorbing layer.

[0017] Furthermore, under the condition of determining the movement strategy, the cancellation noise signal is determined to be unqualified based on the comparison result of the sound intensity value of the output cancellation noise signal and the turbine B noise signal being greater than the set sound intensity value.

[0018] Furthermore, if the noise cancellation signal is determined to be unqualified, the gap between different sound-absorbing layers is increased by a preset gap adjustment coefficient based on the comparison result that the difference between the sound intensity value and the preset sound intensity value is less than or equal to the preset difference.

[0019] Furthermore, if the noise cancellation signal is determined to be unqualified, the porosity of the same sound-absorbing layer is increased by a preset porosity adjustment coefficient based on the comparison result that the difference between the sound intensity value and the preset sound intensity value is greater than the preset difference.

[0020] Compared with the prior art, the beneficial effects of the present invention are as follows: the present invention acquires the noise signal of turbine A in real time, determines the noise type according to the noise characteristic characterization parameters, and determines the strategy for generating a noise cancellation signal based on the noise intensity evaluation value, thereby improving the targeting and efficiency of noise reduction. Based on the noise cancellation characteristic evaluation value of the noise cancellation signal, the moving strategy of the vibration isolation box sound absorption layer is adjusted to achieve effective output of the noise cancellation signal. The sound intensity value of the output noise cancellation signal and the noise signal of turbine B is evaluated to determine the qualification of the noise cancellation signal and ensure the noise reduction quality. If the noise cancellation signal is unqualified, the difference between the sound intensity value and the preset sound intensity value is used to adjust the sound absorption layer structure, further optimizing the sound absorption layer structure and improving the noise reduction accuracy, thereby improving the vibration isolation efficiency of turbine noise.

[0021] Furthermore, this invention acquires the noise signal of turbine A in real time, determines the noise type by comparing the noise characteristic characterization parameter with the noise characteristic characterization parameter threshold, and then determines the parameters extracted when generating the noise cancellation signal based on the comparison result of the noise intensity evaluation value with the preset noise intensity evaluation value. This accurately identifies the noise type, improves the pertinence and efficiency of noise control, reduces noise pollution during turbine operation, and thus improves the vibration isolation efficiency of turbine noise.

[0022] Furthermore, by comparing the noise cancellation feature evaluation value with the preset noise cancellation feature evaluation value, the present invention determines the movement strategy of different sound-absorbing layers of the vibration isolation box, improves the efficiency and accuracy of noise cancellation signal, thereby reducing noise pollution and improving the vibration isolation efficiency of turbine noise.

[0023] Furthermore, the present invention determines the qualification of the noise cancellation signal by comparing the sound intensity value of the output noise cancellation signal and the turbine B noise signal with the preset sound intensity value, and determines the adjustment method of the vibration isolation box according to the difference between the sound intensity value and the preset sound intensity value in the case of non-qualification, accurately judges the qualification of the noise cancellation signal, and adjusts the vibration isolation box, finely adjusts the vibration isolation box structure, and improves the noise reduction efficiency. Attached Figure Description

[0024] Figure 1 This is a flowchart of an active vibration isolation method based on noise reduction technology according to an embodiment of the present invention;

[0025] Figure 2 This is a side cross-sectional view of the device for the active vibration isolation method based on noise reduction technology according to an embodiment of the present invention;

[0026] Figure 3 This is a schematic diagram illustrating the operation of the active vibration isolation method based on noise reduction technology according to an embodiment of the present invention;

[0027] Figure 4 A flowchart for determining the noise signal type in an embodiment of the present invention;

[0028] Figure 5 This is a flowchart for determining the passability of the noise cancellation signal in an embodiment of the present invention;

[0029] In the diagram, 1 is the vibration isolation box; 2 is the sensor; 3 is the first sound-absorbing layer; 4 is the second sound-absorbing layer; 5 is the motor; 6 is the steam turbine A; and 7 is the steam turbine B. Detailed Implementation

[0030] To make the objectives and advantages of the present invention clearer, the present invention will be further described below with reference to embodiments; it should be understood that the specific embodiments described herein are merely for explaining the present invention and are not intended to limit the present invention.

[0031] Preferred embodiments of the present invention will now be described with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are merely illustrative of the technical principles of the present invention and are not intended to limit the scope of protection of the present invention.

[0032] It should be noted that the data in this embodiment are all derived from a comprehensive analysis and evaluation of historical test data and corresponding historical test results from the three months prior to this test. Those skilled in the art will understand that the determination of the above-mentioned parameters for any single item in this invention can be achieved by selecting the value with the highest percentage based on the data distribution as the preset standard parameter, using weighted summation to obtain the value as the preset standard parameter, substituting each historical data point into a specific formula and using the value obtained from that formula as the preset standard parameter, or other selection methods, as long as the invention can clearly define different specific situations in the single-item judgment process through the obtained values.

[0033] Please see Figures 1-5 As shown, Figure 1 This is a flowchart of an active vibration isolation method based on noise reduction technology according to an embodiment of the present invention; Figure 2 This is a side cross-sectional view of the device for the active vibration isolation method based on noise reduction technology according to an embodiment of the present invention; Figure 3 This is a schematic diagram illustrating the operation of the active vibration isolation method based on noise reduction technology according to an embodiment of the present invention; Figure 4 A flowchart for determining the noise signal type in an embodiment of the present invention; Figure 5 This is a flowchart for determining the passability of noise cancellation signals in an embodiment of the present invention.

[0034] The active vibration isolation method based on noise reduction technology in this invention includes:

[0035] Step S1: Several sensors are installed on the vibration isolation box to acquire the noise signal of turbine A in a set of steam turbine units in real time;

[0036] Step S2: Based on the noise characteristic characterization parameters of the noise signal, determine whether the noise signal is mechanical noise or airflow noise, and determine a strategy for generating a noise cancellation signal according to the noise intensity evaluation value of the mechanical noise or airflow noise. The strategy includes extracting important parameters of the noise signal to generate a noise cancellation signal, or extracting all parameters of the noise signal to generate a noise cancellation signal.

[0037] Step S3: Based on the evaluation value of the noise cancellation characteristics of the noise cancellation signal, determine the movement strategy of different sound-absorbing layers of the vibration isolation box to output the noise cancellation signal to the turbine B adjacent to turbine A. The movement strategy includes moving different sound-absorbing layers to change the gap between different sound-absorbing layers, or moving different sound-absorbing layers to change the gap between different sound-absorbing layers while moving different sound-absorbing layers to change the porosity of the same sound-absorbing layer.

[0038] Step S4: Determine the qualification of the noise cancellation signal based on the sound intensity values ​​of the output noise cancellation signal and the turbine B noise signal;

[0039] Step S5: If the noise cancellation signal is determined to be unqualified, determine whether to increase the gap between different noise reduction layers or increase the pores of the same noise reduction layer based on the difference between the sound intensity value and the preset sound intensity value.

[0040] The active vibration isolation method based on noise reduction technology in this invention is implemented through the following device, which includes:

[0041] The vibration isolation box 1 includes a first sound-absorbing layer 3 disposed on one side inside the vibration isolation box 1, a second sound-absorbing layer 4 disposed on the other side inside the vibration isolation box 1, and sensors 2 disposed on both sides outside the vibration isolation box 1.

[0042] In this embodiment of the invention, the sensor includes a sound sensor, a vibration sensor, etc., for acquiring noise information.

[0043] In this embodiment of the invention, the vibration isolation box includes a first sound-absorbing layer and a second sound-absorbing layer, wherein the first sound-absorbing layer is a phonon crystal layer and the second sound-absorbing layer is a carbon fiber layer.

[0044] Specifically, this invention acquires the noise signal of turbine A in real time, determines the noise type based on noise characteristic parameters, and determines a strategy for generating a noise cancellation signal based on the noise intensity evaluation value, thereby improving the targeting and efficiency of noise reduction. Based on the noise cancellation characteristic evaluation value of the noise cancellation signal, the movement strategy of the vibration isolation box's sound-absorbing layer is adjusted to achieve effective output of the noise cancellation signal. The sound intensity values ​​of the output noise cancellation signal and the noise signal of turbine B are evaluated to determine the qualification of the noise cancellation signal, ensuring noise reduction quality. If the noise cancellation signal is unqualified, the difference between the sound intensity value and the preset sound intensity value is used to adjust the sound-absorbing layer structure, further optimizing the sound-absorbing layer structure and improving noise reduction accuracy, thereby improving the vibration isolation efficiency for turbine noise.

[0045] Specifically, in this embodiment of the invention, under the condition that a set of turbine A noise signals in a turbine unit are acquired in real time, the type of the noise signal is determined based on the comparison result of the noise characteristic characterization parameter of the noise signal and the threshold of the noise characteristic characterization parameter 0.88.

[0046] When the noise characteristic characterization parameter is less than or equal to the noise characteristic characterization parameter threshold, the noise signal is determined to be mechanical noise.

[0047] When the noise characteristic parameter is greater than the noise characteristic parameter threshold, the noise signal is determined to be airflow noise.

[0048] In this embodiment of the invention, the threshold value of the noise characteristic characterization parameter is 0.88, but the above value is not limited to this, and those skilled in the art can adjust the value according to actual needs.

[0049] In this embodiment of the invention, the mechanical noise is generated by the vibration or friction of the mechanical components of the steam turbine, and the airflow noise is generated by the gas flow inside the steam turbine.

[0050] Specifically, embodiments of the present invention calculate the noise characteristic parameters according to the following formula, and set them as follows:

[0051]

[0052] Where P represents the noise characteristic parameter, fmax is the maximum frequency of the noise signal, and fmin is the minimum frequency of the noise signal. Here, hmax is the average frequency of the noise signal, hmin is the maximum amplitude of the noise signal, and hmin is the minimum amplitude of the noise signal. This represents the average amplitude of the noise signal.

[0053] Specifically, in this embodiment of the invention, under the condition of determining the type of noise signal, a strategy for generating a noise cancellation signal is determined based on the comparison result between the noise intensity evaluation value of the corresponding noise signal type and the preset noise intensity evaluation value of 0.83;

[0054] When the noise intensity evaluation value is less than or equal to the preset noise intensity evaluation value, then the important parameters of the noise signal are determined to be extracted to generate a noise cancellation signal;

[0055] When the noise intensity evaluation value is greater than the preset noise intensity evaluation value, it is determined that all parameters of the noise signal are extracted to generate a noise cancellation signal.

[0056] In this embodiment of the invention, the preset noise intensity evaluation value is 0.83, but the above value is not limited to this, and those skilled in the art can adjust the value according to actual needs.

[0057] Specifically, embodiments of the present invention calculate the noise intensity evaluation value according to the following formula, and set:

[0058]

[0059] Where Q represents the noise intensity evaluation value, L is the sound pressure under the turbine operating environment, L0 is the sound pressure threshold, set to L0 = 50dB, B is the average value of the frequency range covered by noise under the turbine operating environment, and B0 is the average value threshold of the frequency range, set to B0 = 10000Hz.

[0060] Specifically, this invention acquires the noise signal of turbine A in real time, determines the noise type by comparing the noise characteristic characterization parameters with the threshold of the noise characteristic characterization parameters, and then determines the parameters extracted when generating the noise cancellation signal based on the comparison result of the noise intensity evaluation value and the preset noise intensity evaluation value. This accurately identifies the noise type, improves the pertinence and efficiency of noise control, reduces noise pollution during turbine operation, and thus improves the vibration isolation efficiency of turbine noise.

[0061] Specifically, in this embodiment of the invention, under the condition of determining the strategy for generating the noise cancellation signal, the movement strategy of different sound-absorbing layers of the vibration isolation box is determined based on the comparison result of the noise cancellation feature evaluation value of the noise cancellation signal and the preset noise cancellation feature evaluation value of 0.75.

[0062] When the noise cancellation feature evaluation value is less than or equal to the preset noise cancellation feature evaluation value, it is determined that different noise reduction layers are moved to change the gap between the different noise reduction layers. The gap value ranges from 0mm to 30mm, preferably 10mm.

[0063] When the noise cancellation feature evaluation value is greater than the preset noise cancellation feature evaluation value, it is determined that different noise reduction layers are moved to change the gap between different noise reduction layers, and different noise reduction layers are moved to change the porosity of the same noise reduction layer. The porosity of the first noise reduction layer is in the range of 0.1mm-1.5mm, preferably 1.0mm, and the porosity of the second noise reduction layer is in the range of 0.5mm-2.0mm, preferably 1.2mm.

[0064] In this embodiment of the invention, the preset evaluation value for noise cancellation features is 0.75, but the above value is not limited to this, and those skilled in the art can adjust the value according to actual needs.

[0065] In this embodiment of the invention, the range of the gap value is the distance range between the first sound-absorbing layer and the second sound-absorbing layer that have passed the vibration isolation test; the range of the pore value of the first sound-absorbing layer is the pore range of the first sound-absorbing layer that has passed the vibration isolation test; and the range of the pore value of the second sound-absorbing layer is the pore range of the second sound-absorbing layer that has passed the vibration isolation test.

[0066] Specifically, the noise cancellation characteristic evaluation value is the ratio of the difference between the maximum and minimum frequencies of the noise cancellation to the average frequency, multiplied by the ratio of the difference between the maximum and minimum amplitudes of the noise cancellation to the average amplitude.

[0067] Specifically, the present invention determines the movement strategy of different sound-absorbing layers of the vibration isolation box by comparing the noise cancellation characteristic evaluation value with the preset noise cancellation characteristic evaluation value, thereby improving the efficiency and accuracy of noise cancellation signal, reducing noise pollution, and improving the vibration isolation efficiency of turbine noise.

[0068] Specifically, under the condition of determining the movement strategy, the qualification of the noise cancellation signal is determined based on the comparison result of the sound intensity value of the output noise cancellation signal and the turbine B noise signal with the preset sound intensity value of 80dB.

[0069] When the sound intensity value is less than or equal to the preset sound intensity value, the noise cancellation signal is determined to be qualified.

[0070] When the sound intensity value is greater than the preset sound intensity value, the noise cancellation signal is determined to be unqualified.

[0071] In this embodiment of the invention, the preset sound intensity value is 80dB. The preset sound intensity is obtained by averaging the sound intensity values ​​of several qualified noise cancellation signals in history. However, the above value is not limited to this, and those skilled in the art can adjust the value according to actual needs.

[0072] Specifically, the sound intensity value is measured by several sensors on the vibration isolation box.

[0073] Specifically, in this embodiment of the invention, when it is determined that the noise cancellation signal is unqualified, the adjustment method of the vibration isolation box is determined based on the comparison result of the difference between the sound intensity value and the preset sound intensity value and the preset difference 0.52.

[0074] When the difference is less than or equal to the preset difference, it is determined that the gap between different sound-absorbing layers will be increased to the corresponding value by a preset gap adjustment coefficient of 1.05.

[0075] When the difference is greater than the preset difference, it is determined that the porosity of the same sound-absorbing layer will be increased to the corresponding value by using a preset porosity adjustment coefficient of 1.12.

[0076] The difference is the difference between the sound intensity value and the preset sound intensity value.

[0077] In this embodiment of the invention, the preset difference value is 0.52, but the above value is not limited to this, and those skilled in the art can adjust the value according to actual needs.

[0078] In this embodiment of the invention, the increased gap is the product of the gap between different sound-absorbing layers and the preset gap adjustment coefficient 1.05; the increased porosity of the first sound-absorbing layer is the product of the porosity of the first sound-absorbing layer and the preset porosity adjustment coefficient 1.12; and the increased porosity of the second sound-absorbing layer is the product of the porosity of the second sound-absorbing layer and the preset porosity adjustment coefficient 1.12.

[0079] Specifically, this invention determines the passability of the noise cancellation signal by comparing the sound intensity values ​​of the output noise cancellation signal and the turbine B noise signal with a preset sound intensity value. Based on the difference between the sound intensity value and the preset sound intensity value in the case of failure, the adjustment method of the vibration isolation box is determined. This accurately judges the passability of the noise cancellation signal and adjusts the vibration isolation box, finely adjusting the structure of the vibration isolation box to improve noise reduction efficiency.

[0080] The technical solution of the present invention has been described above with reference to the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will all fall within the scope of protection of the present invention.

[0081] The above description is merely a preferred embodiment of the present invention and is not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. An active vibration isolation method based on noise reduction technology, characterized in that, include: Several sensors are installed on the vibration isolation box to acquire the noise signal of turbine A in a set of steam turbine units in real time; Based on the noise characteristic characterization parameters of the noise signal, the noise signal is determined to be mechanical noise or airflow noise. Based on the noise intensity evaluation value of the mechanical noise or airflow noise, a strategy for generating a noise cancellation signal is determined. The strategy includes extracting important parameters of the noise signal to generate a noise cancellation signal, or extracting all parameters of the noise signal to generate a noise cancellation signal. Based on the evaluation value of the noise cancellation characteristics of the noise cancellation signal, the movement strategy of different sound-absorbing layers of the vibration isolation box is determined to output the noise cancellation signal to the turbine B adjacent to turbine A. The movement strategy includes moving different sound-absorbing layers to change the gap between different sound-absorbing layers, or moving different sound-absorbing layers to change the gap between different sound-absorbing layers while moving different sound-absorbing layers to change the porosity of the same sound-absorbing layer. The passability of the noise cancellation signal is determined based on the sound intensity values ​​of the output noise cancellation signal and the turbine B noise signal; If the noise cancellation signal is determined to be unqualified, the difference between the sound intensity value and the preset sound intensity value is used to determine whether to increase the gap between different sound-absorbing layers or to increase the pores of the same sound-absorbing layer.

2. The active vibration isolation method based on noise reduction technology according to claim 1, characterized in that, Under the condition of obtaining a noise signal, the noise signal is determined to be mechanical noise based on the comparison result of the noise characteristic characterization parameter of the noise signal being less than or equal to the threshold of the noise characteristic characterization parameter.

3. The active vibration isolation method based on noise reduction technology according to claim 1, characterized in that, Under the condition of obtaining a noise signal, the noise signal is determined to be airflow noise based on the comparison result that the noise characteristic characterization parameter of the noise signal is greater than the threshold of the noise characteristic characterization parameter.

4. The active vibration isolation method based on noise reduction technology according to claim 2 or 3, characterized in that, Under the condition of determining the type of noise signal, important parameters for extracting the noise signal are determined based on the comparison result of the noise intensity evaluation value being less than or equal to the preset noise intensity evaluation value, so as to generate a noise cancellation signal.

5. The active vibration isolation method based on noise reduction technology according to claim 2 or 3, characterized in that, Under the condition of determining the type of noise signal, based on the comparison result that the noise intensity evaluation value is greater than the preset noise intensity evaluation value, all parameters of the noise signal are extracted to generate a noise cancellation signal.

6. The active vibration isolation method based on noise reduction technology according to claim 1, characterized in that, Under the condition of determining the strategy for generating noise cancellation signal, based on the comparison result that the noise cancellation feature evaluation value of the noise cancellation signal is less than or equal to the preset noise cancellation feature evaluation value, it is determined to move different noise cancellation layers to change the gap between different noise cancellation layers.

7. The active vibration isolation method based on noise reduction technology according to claim 1, characterized in that, Under the condition of determining the strategy for generating noise cancellation signal, based on the comparison result that the noise cancellation feature evaluation value of the noise cancellation signal is greater than the preset noise cancellation feature evaluation value, it is determined to move different sound-absorbing layers to change the gap between different sound-absorbing layers, and at the same time move different sound-absorbing layers to change the porosity of the same sound-absorbing layer.

8. The active vibration isolation method based on noise reduction technology according to claim 1, characterized in that, Under the condition of determining the movement strategy, the cancellation noise signal is determined to be unqualified based on the comparison result of the sound intensity value of the output cancellation noise signal and the turbine B noise signal being greater than the set sound intensity value.

9. The active vibration isolation method based on noise reduction technology according to claim 8, characterized in that, If the noise cancellation signal is determined to be unqualified, the gap between different sound-absorbing layers is increased by a preset gap adjustment coefficient based on the comparison result that the difference between the sound intensity value and the preset sound intensity value is less than or equal to the preset difference.

10. The active vibration isolation method based on noise reduction technology according to claim 8, characterized in that, If the noise cancellation signal is determined to be unqualified, the porosity of the same sound-absorbing layer is increased by a preset porosity adjustment coefficient based on the comparison result that the difference between the sound intensity value and the preset sound intensity value is greater than the preset difference.

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