A method and terminal for extracting operating noise of a hydraulic turbine

Abstract

The application discloses a water turbine operation noise extraction method and a terminal, wherein a first target noise attenuation coefficient corresponding to a first real-time power generation flow and a second real-time power generation flow is determined according to a first relationship curve, a second target noise attenuation coefficient corresponding to the first real-time power generation flow and the second real-time power generation flow is determined according to a second relationship curve, and a first water turbine set self operation noise intensity is obtained according to the first real-time noise intensity, the second real-time noise intensity, the first target noise attenuation coefficient and the second target noise attenuation coefficient, that is, the first water turbine set self operation noise intensity in the first real-time noise intensity can be accurately separated out only by using the easily collected unit noise intensity and the power generation flow, other noise interferences can be effectively excluded, and the accuracy of the fault detection based on the sound is effectively improved.

Description

Technical Field

[0001] This invention relates to the field of hydraulic equipment technology, and in particular to a method and terminal for extracting operating noise from a water turbine. Background Technology

[0002] A water turbine is the main equipment in a hydroelectric power plant, a large rotating metal component that converts the kinetic and potential energy of water flow into electrical energy. Common water turbine failures include abrasion, cracks, and cavitation.

[0003] Noise changes are generally present during the occurrence and escalation of turbine malfunctions. Hydropower plants typically have two or more generating units, and the operating noise of these units is attenuated and transmitted to nearby units. When multiple units operate simultaneously, the sound collected by the microphone on one unit includes both its own operating noise and attenuated interference noise from neighboring units. This mixed noise significantly increases the technical difficulty of assessing the health status of the units through sound analysis.

[0004] Therefore, the key to improving the accuracy of sound-based fault detection lies in how to extract the operating noise of the turbine itself from mixed noise. Summary of the Invention

[0005] The technical problem to be solved by the present invention is to provide a method and terminal for extracting operating noise of a water turbine, which can effectively improve the accuracy of sound-based fault detection.

[0006] To solve the above-mentioned technical problems, the technical solution adopted by the present invention is as follows:

[0007] A method for extracting operating noise from a water turbine includes the following steps:

[0008] The first real-time power generation flow rate of the first turbine unit, the first real-time noise intensity of the first turbine unit, the second real-time power generation flow rate of the second turbine unit, and the second real-time noise intensity of the second turbine unit are collected.

[0009] Obtain a first relationship curve between a first noise attenuation coefficient, the power generation flow of a first turbine unit, and the power generation flow of a second turbine unit, and a second relationship curve between a second noise attenuation coefficient, the power generation flow of a first turbine unit, and the power generation flow of a second turbine unit. The first noise attenuation coefficient is the noise attenuation coefficient of noise transmitted from the second turbine unit to the first turbine unit, and the second noise attenuation coefficient is the noise attenuation coefficient of noise transmitted from the first turbine unit to the second turbine unit.

[0010] The first target noise attenuation coefficient corresponding to the first real-time power generation flow and the second real-time power generation flow is determined according to the first relationship curve, and the second target noise attenuation coefficient corresponding to the first real-time power generation flow and the second real-time power generation flow is determined according to the second relationship curve.

[0011] The operating noise intensity of the first turbine unit is obtained based on the first real-time noise intensity, the second real-time noise intensity, the first target noise attenuation coefficient, and the second target noise attenuation coefficient.

[0012] To solve the above-mentioned technical problems, another technical solution adopted by the present invention is as follows:

[0013] A turbine operating noise extraction terminal includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it performs the following steps:

[0014] The first real-time power generation flow rate of the first turbine unit, the first real-time noise intensity of the first turbine unit, the second real-time power generation flow rate of the second turbine unit, and the second real-time noise intensity of the second turbine unit are collected.

[0015] Obtain a first relationship curve between a first noise attenuation coefficient, the power generation flow of a first turbine unit, and the power generation flow of a second turbine unit, and a second relationship curve between a second noise attenuation coefficient, the power generation flow of a first turbine unit, and the power generation flow of a second turbine unit. The first noise attenuation coefficient is the noise attenuation coefficient of noise transmitted from the second turbine unit to the first turbine unit, and the second noise attenuation coefficient is the noise attenuation coefficient of noise transmitted from the first turbine unit to the second turbine unit.

[0016] The first target noise attenuation coefficient corresponding to the first real-time power generation flow and the second real-time power generation flow is determined according to the first relationship curve, and the second target noise attenuation coefficient corresponding to the first real-time power generation flow and the second real-time power generation flow is determined according to the second relationship curve.

[0017] The operating noise intensity of the first turbine unit is obtained based on the first real-time noise intensity, the second real-time noise intensity, the first target noise attenuation coefficient, and the second target noise attenuation coefficient.

[0018] The beneficial effects of this invention are as follows: A first target noise attenuation coefficient corresponding to the first real-time power generation flow and the second real-time power generation flow is determined based on a first relationship curve, and a second target noise attenuation coefficient corresponding to the first real-time power generation flow and the second real-time power generation flow is determined based on a second relationship curve. The operating noise intensity of the first turbine unit itself is obtained based on the first real-time noise intensity, the second real-time noise intensity, the first target noise attenuation coefficient, and the second target noise attenuation coefficient. In other words, the operating noise intensity of the first turbine unit itself can be accurately separated from the first real-time noise intensity simply by using easily collected unit noise intensity and power generation flow, effectively eliminating other noise interference and thus effectively improving the accuracy of sound-based fault detection. Attached Figure Description

[0019] Figure 1 This is a flowchart illustrating the steps of a turbine fault diagnosis method according to an embodiment of the present invention.

[0020] Figure 2 This is a schematic diagram of the structure of a turbine fault diagnosis terminal according to an embodiment of the present invention. Detailed Implementation

[0021] To explain in detail the technical content, objectives, and effects of the present invention, the following description is provided in conjunction with the embodiments and accompanying drawings.

[0022] Please refer to Figure 1 A method for extracting operating noise from a water turbine, comprising the following steps:

[0023] The first real-time power generation flow rate of the first turbine unit, the first real-time noise intensity of the first turbine unit, the second real-time power generation flow rate of the second turbine unit, and the second real-time noise intensity of the second turbine unit are collected.

[0024] Obtain a first relationship curve between a first noise attenuation coefficient, the power generation flow of a first turbine unit, and the power generation flow of a second turbine unit, and a second relationship curve between a second noise attenuation coefficient, the power generation flow of a first turbine unit, and the power generation flow of a second turbine unit. The first noise attenuation coefficient is the noise attenuation coefficient of noise transmitted from the second turbine unit to the first turbine unit, and the second noise attenuation coefficient is the noise attenuation coefficient of noise transmitted from the first turbine unit to the second turbine unit.

[0025] The first target noise attenuation coefficient corresponding to the first real-time power generation flow and the second real-time power generation flow is determined according to the first relationship curve, and the second target noise attenuation coefficient corresponding to the first real-time power generation flow and the second real-time power generation flow is determined according to the second relationship curve.

[0026] The operating noise intensity of the first turbine unit is obtained based on the first real-time noise intensity, the second real-time noise intensity, the first target noise attenuation coefficient, and the second target noise attenuation coefficient.

[0027] As can be seen from the above description, the beneficial effects of the present invention are as follows: a first target noise attenuation coefficient corresponding to the first real-time power generation flow and the second real-time power generation flow is determined according to the first relationship curve, and a second target noise attenuation coefficient corresponding to the first real-time power generation flow and the second real-time power generation flow is determined according to the second relationship curve. The operating noise intensity of the first turbine unit itself is obtained according to the first real-time noise intensity, the second real-time noise intensity, the first target noise attenuation coefficient, and the second target noise attenuation coefficient. That is, the operating noise intensity of the first turbine unit itself can be accurately separated from the first real-time noise intensity by simply using the easily collected unit noise intensity and power generation flow, which can effectively eliminate other noise interference and thus effectively improve the accuracy of sound-based fault detection.

[0028] Furthermore, before collecting the first real-time power generation flow rate of the first turbine unit, the first real-time noise intensity of the first turbine unit, the second real-time power generation flow rate of the second turbine unit, and the second real-time noise intensity of the second turbine unit, the following steps are also included:

[0029] The third real-time power generation flow of the first turbine unit, the third real-time noise intensity of the first turbine unit, and the fourth real-time power generation flow of the second turbine unit were collected.

[0030] Obtain the third relationship curve between the power generation flow rate of the first turbine unit and its own operating noise intensity, and the fourth relationship curve between the power generation flow rate of the second turbine unit and its own operating noise intensity.

[0031] Based on the third relationship curve and the fourth relationship curve, the first noise attenuation coefficient, the power generation flow of the first turbine unit, and the power generation flow of the second turbine unit are calculated using the third real-time power generation flow, the third real-time noise intensity, and the fourth real-time power generation flow.

[0032] The fifth real-time power generation flow of the second turbine unit, the fourth real-time noise intensity of the second turbine unit, and the sixth real-time power generation flow of the first turbine unit were collected.

[0033] Based on the third and fourth relationship curves, and using the fifth real-time power generation flow rate, the fourth real-time noise intensity, and the sixth real-time power generation flow rate, a second noise attenuation coefficient and a second relationship curve for the power generation flow rate of the first turbine unit and the power generation flow rate of the second turbine unit are calculated.

[0034] As described above, the relationship curve between the noise attenuation coefficient and the power generation flow of different turbine units is calculated using the relationship curve between the power generation flow and noise intensity of the turbine unit. Subsequently, only the power generation flow of the turbine unit needs to be collected to obtain the corresponding noise attenuation coefficient, which can more quickly and easily purify the operating noise intensity of the turbine unit itself.

[0035] Furthermore, before collecting the third real-time power generation flow rate of the first turbine unit, the third real-time noise intensity of the first turbine unit, and the fourth real-time power generation flow rate of the second turbine unit, the following steps are also included:

[0036] The power generation flow and the first operating noise intensity of the first turbine unit under different operating conditions are collected. The first operating noise intensity is the noise intensity under the condition that the first turbine unit is turned on and the second turbine unit is turned off.

[0037] Polynomial fitting was performed on the power generation flow and the first operating noise intensity of the first turbine unit under different operating conditions to obtain the third relationship curve between the power generation flow and the operating noise intensity of the first turbine unit.

[0038] The power generation flow and the second operating noise intensity of the second turbine unit under different operating conditions were collected. The second operating noise intensity is the noise intensity under the condition that the second turbine unit is turned on and the first turbine unit is turned off.

[0039] Polynomial fitting was performed on the power generation flow and the second operating noise intensity of the second turbine unit under different operating conditions to obtain the fourth relationship curve between the power generation flow and the operating noise intensity of the second turbine unit.

[0040] As described above, polynomial fitting is performed on the power generation flow and the first operating noise intensity of the first turbine unit under different operating conditions to obtain the third relationship curve between the power generation flow and the operating noise intensity of the first turbine unit. Polynomial fitting is also performed on the power generation flow and the second operating noise intensity of the second turbine unit under different operating conditions to obtain the fourth relationship curve between the power generation flow and the fourth noise intensity of the second turbine unit. This curve reflects the correspondence between the power generation flow and the operating noise intensity of the turbine unit. Using the third and fourth relationship curves, the relationship curve between the noise attenuation coefficient and the power generation flow of different turbine units can be calculated, thereby realizing the separation of the turbine unit's own noise during operation.

[0041] Furthermore, after collecting the power generation flow rate and the first operating noise intensity of the first turbine unit under different operating conditions, the method further includes:

[0042] The intensity of the first operating noise was obtained by performing a fast Fourier transform on the number of blades and the rotation frequency of the first turbine unit.

[0043] The process of performing polynomial fitting on the power generation flow rate and the first operating noise intensity of the first turbine unit under different operating conditions to obtain the third relationship curve between the power generation flow rate and the operating noise intensity of the first turbine unit includes:

[0044] Polynomial fitting was performed on the power generation flow rate of the first turbine unit under different operating conditions and the intensity of the first operating noise at multiple harmonics to obtain the third relationship curve between the power generation flow rate of the first turbine unit and its own operating noise intensity.

[0045] As described above, by performing a fast Fourier transform on the intensity of the first operating noise based on the number of blades and rotation frequency of the first turbine unit, non-fault noise frequencies can be eliminated, thereby further improving the effectiveness of separating the turbine unit's own operating noise.

[0046] Further, the step of obtaining the operating noise intensity of the first turbine unit itself based on the first real-time noise intensity, the second real-time noise intensity, the first target noise attenuation coefficient, and the second target noise attenuation coefficient includes:

[0047]

[0048] In the formula, S 10 S1 represents the operating noise intensity of the first turbine unit itself, S2 represents the first real-time noise intensity, and λ represents the second real-time noise intensity. 2→1 λ represents the noise attenuation coefficient of the first target. 1→2 This represents the second target noise attenuation coefficient.

[0049] As described above, the operating noise intensity of the first turbine unit can be obtained based on the first noise intensity, the second noise intensity, the first target noise attenuation coefficient, and the second target noise attenuation coefficient. This eliminates the need for complex and expensive additional equipment installation. The unit's operating noise can be accurately separated using readily available unit noise intensity and power generation flow data, effectively improving the accuracy of sound-based fault detection.

[0050] Please refer to Figure 2 A turbine operating noise extraction terminal includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it performs the following steps:

[0051] The first real-time power generation flow rate of the first turbine unit, the first real-time noise intensity of the first turbine unit, the second real-time power generation flow rate of the second turbine unit, and the second real-time noise intensity of the second turbine unit are collected.

[0052] Obtain a first relationship curve between a first noise attenuation coefficient, the power generation flow of a first turbine unit, and the power generation flow of a second turbine unit, and a second relationship curve between a second noise attenuation coefficient, the power generation flow of a first turbine unit, and the power generation flow of a second turbine unit. The first noise attenuation coefficient is the noise attenuation coefficient of noise transmitted from the second turbine unit to the first turbine unit, and the second noise attenuation coefficient is the noise attenuation coefficient of noise transmitted from the first turbine unit to the second turbine unit.

[0053] The first target noise attenuation coefficient corresponding to the first real-time power generation flow and the second real-time power generation flow is determined according to the first relationship curve, and the second target noise attenuation coefficient corresponding to the first real-time power generation flow and the second real-time power generation flow is determined according to the second relationship curve.

[0054] The operating noise intensity of the first turbine unit is obtained based on the first real-time noise intensity, the second real-time noise intensity, the first target noise attenuation coefficient, and the second target noise attenuation coefficient.

[0055] As can be seen from the above description, the beneficial effects of the present invention are as follows: a first target noise attenuation coefficient corresponding to the first real-time power generation flow and the second real-time power generation flow is determined according to the first relationship curve, and a second target noise attenuation coefficient corresponding to the first real-time power generation flow and the second real-time power generation flow is determined according to the second relationship curve. The operating noise intensity of the first turbine unit itself is obtained according to the first real-time noise intensity, the second real-time noise intensity, the first target noise attenuation coefficient, and the second target noise attenuation coefficient. That is, the operating noise intensity of the first turbine unit itself can be accurately separated from the first real-time noise intensity by simply using the easily collected unit noise intensity and power generation flow, which can effectively eliminate other noise interference and thus effectively improve the accuracy of sound-based fault detection.

[0056] Furthermore, before collecting the first real-time power generation flow rate of the first turbine unit, the first real-time noise intensity of the first turbine unit, the second real-time power generation flow rate of the second turbine unit, and the second real-time noise intensity of the second turbine unit, the following steps are also included:

[0057] The third real-time power generation flow of the first turbine unit, the third real-time noise intensity of the first turbine unit, and the fourth real-time power generation flow of the second turbine unit were collected.

[0058] Obtain the third relationship curve between the power generation flow rate of the first turbine unit and its own operating noise intensity, and the fourth relationship curve between the power generation flow rate of the second turbine unit and its own operating noise intensity.

[0059] Based on the third relationship curve and the fourth relationship curve, the first noise attenuation coefficient, the power generation flow of the first turbine unit, and the power generation flow of the second turbine unit are calculated using the third real-time power generation flow, the third real-time noise intensity, and the fourth real-time power generation flow.

[0060] The fifth real-time power generation flow of the second turbine unit, the fourth real-time noise intensity of the second turbine unit, and the sixth real-time power generation flow of the first turbine unit were collected.

[0061] Based on the third and fourth relationship curves, and using the fifth real-time power generation flow rate, the fourth real-time noise intensity, and the sixth real-time power generation flow rate, a second noise attenuation coefficient and a second relationship curve for the power generation flow rate of the first turbine unit and the power generation flow rate of the second turbine unit are calculated.

[0062] As described above, the relationship curve between the noise attenuation coefficient and the power generation flow of different turbine units is calculated using the relationship curve between the power generation flow and noise intensity of the turbine unit. Subsequently, only the power generation flow of the turbine unit needs to be collected to obtain the corresponding noise attenuation coefficient, which can more quickly and easily purify the operating noise intensity of the turbine unit itself.

[0063] Furthermore, before collecting the third real-time power generation flow rate of the first turbine unit, the third real-time noise intensity of the first turbine unit, and the fourth real-time power generation flow rate of the second turbine unit, the following steps are also included:

[0064] The power generation flow and the first operating noise intensity of the first turbine unit under different operating conditions are collected. The first operating noise intensity is the noise intensity under the condition that the first turbine unit is turned on and the second turbine unit is turned off.

[0065] Polynomial fitting was performed on the power generation flow and the first operating noise intensity of the first turbine unit under different operating conditions to obtain the third relationship curve between the power generation flow and the operating noise intensity of the first turbine unit.

[0066] The power generation flow and the second operating noise intensity of the second turbine unit under different operating conditions were collected. The second operating noise intensity is the noise intensity under the condition that the second turbine unit is turned on and the first turbine unit is turned off.

[0067] Polynomial fitting was performed on the power generation flow and the second operating noise intensity of the second turbine unit under different operating conditions to obtain the fourth relationship curve between the power generation flow and the operating noise intensity of the second turbine unit.

[0068] As described above, polynomial fitting is performed on the power generation flow and the first operating noise intensity of the first turbine unit under different operating conditions to obtain the third relationship curve between the power generation flow and the operating noise intensity of the first turbine unit. Polynomial fitting is also performed on the power generation flow and the second operating noise intensity of the second turbine unit under different operating conditions to obtain the fourth relationship curve between the power generation flow and the fourth noise intensity of the second turbine unit. This curve reflects the correspondence between the power generation flow and the operating noise intensity of the turbine unit. Using the third and fourth relationship curves, the relationship curve between the noise attenuation coefficient and the power generation flow of different turbine units can be calculated, thereby realizing the separation of the turbine unit's own noise during operation.

[0069] Furthermore, after collecting the power generation flow rate and the first operating noise intensity of the first turbine unit under different operating conditions, the method further includes:

[0070] The intensity of the first operating noise was obtained by performing a fast Fourier transform on the number of blades and the rotation frequency of the first turbine unit.

[0071] The process of performing polynomial fitting on the power generation flow rate and the first operating noise intensity of the first turbine unit under different operating conditions to obtain the third relationship curve between the power generation flow rate and the operating noise intensity of the first turbine unit includes:

[0072] Polynomial fitting was performed on the power generation flow rate of the first turbine unit under different operating conditions and the intensity of the first operating noise at multiple harmonics to obtain the third relationship curve between the power generation flow rate of the first turbine unit and its own operating noise intensity.

[0073] As described above, by performing a fast Fourier transform on the intensity of the first operating noise based on the number of blades and rotation frequency of the first turbine unit, non-fault noise frequencies can be eliminated, thereby further improving the effectiveness of separating the turbine unit's own operating noise.

[0074] Further, the step of obtaining the operating noise intensity of the first turbine unit itself based on the first real-time noise intensity, the second real-time noise intensity, the first target noise attenuation coefficient, and the second target noise attenuation coefficient includes:

[0075]

[0076] In the formula, S 10 S1 represents the operating noise intensity of the first turbine unit itself, S2 represents the first real-time noise intensity, and λ represents the second real-time noise intensity. 2→1 λ represents the noise attenuation coefficient of the first target. 1→2 This represents the second target noise attenuation coefficient.

[0077] As described above, the operating noise intensity of the first turbine unit can be obtained based on the first noise intensity, the second noise intensity, the first target noise attenuation coefficient, and the second target noise attenuation coefficient. This eliminates the need for complex and expensive additional equipment installation. The unit's operating noise can be accurately separated using readily available unit noise intensity and power generation flow data, effectively improving the accuracy of sound-based fault detection.

[0078] The method and terminal for extracting operating noise of a water turbine as described above are applicable to scenarios with two or more water turbine units. The following detailed embodiments illustrate this method:

[0079] Please refer to Figure 1 Embodiment 1 of the present invention is as follows:

[0080] A microphone is deployed in each turbine unit to collect noise intensity, and a flow meter is deployed at the tailrace of each turbine unit to collect power generation flow. Flow monitoring is the most direct and convenient method.

[0081] A method for extracting operating noise from a water turbine includes the following steps:

[0082] S1. Collect the power generation flow rate Q1 and the first operating noise intensity of the first turbine unit under different operating conditions. The first operating noise intensity is the noise intensity under the condition that the first turbine unit is turned on and the second turbine unit is turned off.

[0083] The noise intensity of the first turbine unit was collected when the first turbine unit was running and the second turbine unit was shut down. Since the second turbine unit was shut down, its operating noise intensity was zero. Therefore, the collected operating noise intensity was the noise generated by the first turbine unit itself, i.e., its own operating noise intensity S. 10 It does not include the interference noise S transmitted to the first turbine unit after the noise from the second turbine unit has been attenuated. 2→1 .

[0084] In an alternative implementation, S1 can be replaced with:

[0085] The first operating noise intensity of the first turbine unit under different operating conditions is collected. The first operating noise intensity is the noise intensity under the condition that the first turbine unit is shut down and the second turbine unit is turned on.

[0086] The power generation flow and the third operating noise intensity of the first turbine unit under different operating conditions are collected. The third operating noise intensity is the noise intensity under the condition that both the first turbine unit and the second turbine unit are running.

[0087] The operating noise intensity of the first turbine unit is obtained based on the first operating noise intensity and the third operating noise intensity.

[0088] In other words, when the load of the second turbine unit remains constant, the interference noise S transmitted from the second turbine unit to the first turbine unit... 2→1 The background noise S of the first turbine unit remains unchanged. 2→1背景 This refers to the intensity of the first operating noise. When the first turbine unit is not running, its own operating noise intensity is 0. Therefore, the intensity of the first operating noise collected by the microphone of the first turbine unit is equal to the S of the background noise of the first turbine unit. 2→1背景 After the first turbine unit is started up, the third operating noise intensity S1 = S collected by the microphone of the first turbine unit. 10 +S 2→1 Because of S 2→1 Unchanged and equal to S 2→1背景 Therefore, S1 = S 10 +S 2→1背景 Therefore, the operating noise intensity S of the first turbine unit itself... 10 ==S1-S 2→1背景 .

[0089] In one alternative implementation, after S1, the following may also be included:

[0090] The intensity of the first operating noise is obtained by performing a fast Fourier transform on the number of blades and rotation frequency of the first turbine unit to obtain the intensity of the first operating noise at multiple harmonics.

[0091] Since the output current frequency of the turbine unit remains constant at 50Hz, and the number of generator poles remains constant, the turbine unit's rotation frequency also remains constant. This fixed rotation frequency often results in fault noise frequencies being integer multiples of the turbine unit's rotation frequency. A common scenario is that the turbine blades periodically collide with the fault point, causing the fault noise frequency to equal the turbine unit's rotation frequency multiplied by the number of turbine blades. For example, if the turbine unit's rotation period is T, its rotation frequency is f, and the turbine has n blades, the fault noise frequency is often f, n*f, 2n*f, etc. A Fast Fourier Transform is performed on the intensity of the first operating noise, and the noise intensity corresponding to the frequency n*f is taken as the nth harmonic noise intensity S. n倍频,m or S n倍频,m0 For example, a water turbine rotates at 120 revolutions per minute with a rotation frequency of 2 Hz and has 6 blades. The frequency of fault noise is often 2, 6*2, 12*2, etc. A fast Fourier transform is performed on the collected noise intensity, and the noise intensity corresponding to frequency 12 (=6*2) is taken as the 6th harmonic noise intensity.

[0092] S2. Perform polynomial fitting on the power generation flow and the first operating noise intensity of the first turbine unit under different operating conditions to obtain the third relationship curve Q1~S of the power generation flow and its own operating noise intensity of the first turbine unit. 10 .

[0093] In one alternative implementation, S2 includes:

[0094] Polynomial fitting was performed on the power generation flow rate of the first turbine unit under different operating conditions and the intensity of the first operating noise at multiple harmonics to obtain the third relationship curve between the power generation flow rate of the first turbine unit and its own operating noise intensity.

[0095] S3. Collect the power generation flow rate Q2 and the second operating noise intensity of the second turbine unit under different operating conditions. The second operating noise intensity is the noise intensity under the condition that the second turbine unit is turned on and the first turbine unit is turned off.

[0096] Similarly, under the condition that the first turbine unit is shut down and the second turbine unit is started, the noise intensity of the second turbine unit is collected. The second operating noise intensity is the noise generated by the second turbine unit itself during operation, that is, its own operating noise intensity S. 20 Excluding the interference noise S transmitted from the first turbine unit to the second turbine unit after attenuation. 1→2 .

[0097] S4. Perform polynomial fitting on the power generation flow and the second operating noise intensity of the second turbine unit under different operating conditions to obtain the fourth relationship curve Q2~S between the power generation flow and the operating noise intensity of the second turbine unit. 20 .

[0098] S5. Collect the third real-time power generation flow of the first turbine unit, the third real-time noise intensity of the first turbine unit, and the fourth real-time power generation flow of the second turbine unit.

[0099] Specifically, when both the first and second turbine units are running, the third real-time power generation flow rate of the first turbine unit, the third real-time noise intensity S1 of the first turbine unit, and the fourth real-time power generation flow rate of the second turbine unit are collected. At this time, the third real-time noise intensity S1 of the first turbine unit includes the operating noise intensity S of the first turbine unit itself. 10 And the noise S from the second turbine unit, after attenuation, is the interference noise S transmitted to the first turbine unit. 2→1 That is, S1 = S 10 +S 2→1 .

[0100] S6. Obtain the third relationship curve Q1~S between the power generation flow rate of the first turbine unit and its own operating noise intensity. 10And the fourth relationship curve Q2~S between the power generation flow rate of the second turbine unit and its own operating noise intensity. 20 ;

[0101] S7. Based on the third relationship curve and the fourth relationship curve, the first noise attenuation coefficient, the power generation flow of the first turbine unit and the power generation flow of the second turbine unit are calculated as a first relationship curve.

[0102] Specifically, due to S 2→1 =λ 2→1 ×S 20 , λ 2→1 The noise attenuation coefficient, representing the noise transmitted from the second turbine unit to the first turbine unit, can be obtained as S1 = S 10 +λ 2→1 S 20 According to the third relationship curve Q1~S 10 and the fourth relationship curve Q2~S 20 Based on the third real-time power generation flow, the third real-time noise intensity, and the fourth real-time power generation flow, a first noise attenuation coefficient and a first relationship curve λ between the power generation flow of the first turbine unit and the power generation flow of the second turbine unit are calculated. 2→1 ~Q1, Q2.

[0103] In one alternative implementation, the sound attenuation coefficient λ transmitted from the second turbine to the first turbine is calculated under the condition that the first turbine is shut down and the second turbine is started. 2→1 .

[0104] When the first turbine unit is shut down, the sound intensity S of the first turbine unit's own operating noise 10 The interference noise S transmitted from the first turbine unit to the second turbine unit 1→2 Both are 0, so the noise S1 collected by the microphone of the first turbine unit is the sound intensity S of the operating noise of the second turbine unit itself. 20 The interference noise S transmitted to the first turbine unit after attenuation 2→1 That is, S1 = S 2→1 Meanwhile, the noise S2 collected by the microphone of the second turbine unit is the operating noise intensity S of the second turbine unit itself. 20 That is, S2 = S 20 Therefore, λ 2→1 =S 2→1 / S 20 =S1 / S 20 .

[0105] According to Q2~S 20The relationship curve, along with the real-time noise intensity S1 collected by the microphone of the first turbine unit, allows direct acquisition of the sound attenuation coefficient λ transmitted from the second turbine unit to the first turbine unit. 2→1 That is, we get λ 2→1 The relationship curve between Q1 and Q2 is used to simplify the calculation of the sound attenuation coefficient transmitted from the second turbine unit to the first turbine unit when Q1 is 0. In reality, the sound attenuation coefficient transmitted from the second turbine unit to the first turbine unit is mainly related to Q2, while Q1 has an influence, but it is not significant.

[0106] S8. Collect the fifth real-time power generation flow of the second turbine unit, the fourth real-time noise intensity of the second turbine unit, and the sixth real-time power generation flow of the first turbine unit.

[0107] S9. Based on the third relationship curve and the fourth relationship curve, the second noise attenuation coefficient, the power generation flow of the first turbine unit, and the power generation flow of the second turbine unit are calculated according to the fifth real-time power generation flow, the fourth real-time noise intensity, and the sixth real-time power generation flow.

[0108] Similarly, S9 and S7 are discussed in the same way, and will not be repeated here. The second relationship curve λ between the second noise attenuation coefficient, the power generation flow rate of the first turbine unit, and the power generation flow rate of the second turbine unit can be obtained. 1→2 ~Q1, Q2.

[0109] The first relationship curve λ between the first noise attenuation coefficient, the power generation flow rate of the first turbine unit, and the power generation flow rate of the second turbine unit is obtained. 2→1 ~Q1, Q2, and the second noise attenuation coefficient, the second relationship curve λ between the power generation flow rate of the first turbine unit and the power generation flow rate of the second turbine unit 1→2 ~Q1 and Q2 can then be used to separate the sound intensity of the turbine unit's own operating noise, as shown in S10-S13 below:

[0110] S10. Collect the first real-time power generation flow of the first turbine unit, the first real-time noise intensity of the first turbine unit, the second real-time power generation flow of the second turbine unit, and the second real-time noise intensity of the second turbine unit.

[0111] S11. Obtain the first relationship curve between the first noise attenuation coefficient, the power generation flow of the first turbine unit and the power generation flow of the second turbine unit, and the second relationship curve between the second noise attenuation coefficient, the power generation flow of the first turbine unit and the power generation flow of the second turbine unit. The first noise attenuation coefficient is the noise attenuation coefficient of noise transmitted from the second turbine unit to the first turbine unit, and the second noise attenuation coefficient is the noise attenuation coefficient of noise transmitted from the first turbine unit to the second turbine unit.

[0112] S12. Determine the first target noise attenuation coefficient corresponding to the first real-time power generation flow and the second real-time power generation flow based on the first relationship curve, and determine the second target noise attenuation coefficient corresponding to the first real-time power generation flow and the second real-time power generation flow based on the second relationship curve.

[0113] S13. The operating noise intensity of the first turbine unit itself is obtained based on the first real-time noise intensity, the second real-time noise intensity, the first target noise attenuation coefficient, and the second target noise attenuation coefficient.

[0114] Since S1 = S 10 +λ 2→1 S 20 S2=λ 1→2 S 10 +S 20 The matrix representation can be obtained as follows: so

[0115] Therefore, S13 is specifically:

[0116]

[0117] In the formula, S 10 S1 represents the operating noise intensity of the first turbine unit itself, S2 represents the first real-time noise intensity, and λ represents the second real-time noise intensity. 2→1 λ represents the noise attenuation coefficient of the first target. 1→2 This represents the second target noise attenuation coefficient.

[0118] In one alternative implementation, it further includes:

[0119] S14. Receive information on the completion of the overhaul of the turbine unit, wherein the turbine unit includes the first turbine unit and / or the second turbine unit.

[0120] S15. Update the first relationship curve, the second relationship curve, the third relationship curve, and the fourth relationship curve according to the overhaul completion information.

[0121] Specifically, the first relationship curve, the second relationship curve, the third relationship curve, and the fourth relationship curve are regenerated according to S1-S9.

[0122] Please refer to Figure 2 Embodiment two of the present invention is as follows:

[0123] A turbine operating noise extraction terminal includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the various steps of the turbine operating noise extraction method in Embodiment 1.

[0124] In summary, the present invention provides a method and terminal for extracting turbine operating noise. It determines a first target noise attenuation coefficient corresponding to the first and second real-time power generation flows based on a first relationship curve, and a second target noise attenuation coefficient corresponding to the first and second real-time power generation flows based on a second relationship curve. The operating noise intensity of the first turbine unit itself is obtained based on the first real-time noise intensity, the second real-time noise intensity, the first target noise attenuation coefficient, and the second target noise attenuation coefficient. This means that the operating noise intensity of the first turbine unit itself can be accurately separated from the first real-time noise intensity using easily collected unit noise intensity and power generation flow, effectively eliminating other noise interference and thus improving the accuracy of sound-based fault detection. Furthermore, by performing a Fast Fourier Transform on the first operating noise intensity based on the number of blades and rotation frequency of the first turbine unit, non-fault noise frequencies can be eliminated, further improving the effectiveness of separating the turbine unit's own operating noise.

[0125] The above description is merely an embodiment of the present invention and does not limit the patent scope of the present invention. Any equivalent modifications made based on the content of the present invention's specification and drawings, or direct or indirect applications in related technical fields, are similarly included within the patent protection scope of the present invention.

Claims

1. A method for extracting operating noise from a water turbine, characterized in that, Including the following steps: The first real-time power generation flow rate of the first turbine unit, the first real-time noise intensity of the first turbine unit, the second real-time power generation flow rate of the second turbine unit, and the second real-time noise intensity of the second turbine unit are collected. Obtain a first relationship curve between a first noise attenuation coefficient, the power generation flow of a first turbine unit, and the power generation flow of a second turbine unit, and a second relationship curve between a second noise attenuation coefficient, the power generation flow of a first turbine unit, and the power generation flow of a second turbine unit. The first noise attenuation coefficient is the noise attenuation coefficient of noise transmitted from the second turbine unit to the first turbine unit, and the second noise attenuation coefficient is the noise attenuation coefficient of noise transmitted from the first turbine unit to the second turbine unit. The first target noise attenuation coefficient corresponding to the first real-time power generation flow and the second real-time power generation flow is determined according to the first relationship curve, and the second target noise attenuation coefficient corresponding to the first real-time power generation flow and the second real-time power generation flow is determined according to the second relationship curve. The operating noise intensity of the first turbine unit itself is obtained based on the first real-time noise intensity, the second real-time noise intensity, the first target noise attenuation coefficient, and the second target noise attenuation coefficient. Before collecting the first real-time power generation flow rate of the first turbine unit, the first real-time noise intensity of the first turbine unit, the second real-time power generation flow rate of the second turbine unit, and the second real-time noise intensity of the second turbine unit, the following steps are also included: The third real-time power generation flow of the first turbine unit, the third real-time noise intensity of the first turbine unit, and the fourth real-time power generation flow of the second turbine unit were collected. Obtain the third relationship curve between the power generation flow rate of the first turbine unit and its own operating noise intensity, and the fourth relationship curve between the power generation flow rate of the second turbine unit and its own operating noise intensity. Based on the third relationship curve and the fourth relationship curve, the first noise attenuation coefficient, the power generation flow of the first turbine unit, and the power generation flow of the second turbine unit are calculated using the third real-time power generation flow, the third real-time noise intensity, and the fourth real-time power generation flow. The fifth real-time power generation flow of the second turbine unit, the fourth real-time noise intensity of the second turbine unit, and the sixth real-time power generation flow of the first turbine unit were collected. Based on the third and fourth relationship curves, the second noise attenuation coefficient, the power generation flow of the first turbine unit, and the power generation flow of the second turbine unit are calculated using the fifth real-time power generation flow, the fourth real-time noise intensity, and the sixth real-time power generation flow. Before collecting the third real-time power generation flow rate of the first turbine unit, the third real-time noise intensity of the first turbine unit, and the fourth real-time power generation flow rate of the second turbine unit, the following steps are also included: The power generation flow and the first operating noise intensity of the first turbine unit under different operating conditions are collected. The first operating noise intensity is the noise intensity under the condition that the first turbine unit is turned on and the second turbine unit is turned off. Polynomial fitting was performed on the power generation flow and the first operating noise intensity of the first turbine unit under different operating conditions to obtain the third relationship curve between the power generation flow and the operating noise intensity of the first turbine unit. The power generation flow and the second operating noise intensity of the second turbine unit under different operating conditions were collected. The second operating noise intensity is the noise intensity under the condition that the second turbine unit is turned on and the first turbine unit is turned off. Polynomial fitting was performed on the power generation flow and the second operating noise intensity of the second turbine unit under different operating conditions to obtain the fourth relationship curve between the power generation flow and the operating noise intensity of the second turbine unit. The step of obtaining the operating noise intensity of the first turbine unit itself based on the first real-time noise intensity, the second real-time noise intensity, the first target noise attenuation coefficient, and the second target noise attenuation coefficient includes: ； In the formula, S 10 S1 represents the operating noise intensity of the first turbine unit itself, S2 represents the first real-time noise intensity, and S3 represents the second real-time noise intensity. This represents the noise attenuation coefficient of the first target. This represents the second target noise attenuation coefficient.

2. The method for extracting operating noise of a water turbine according to claim 1, characterized in that, After collecting the power generation flow rate and the first operating noise intensity of the first turbine unit under different operating conditions, the method further includes: The intensity of the first operating noise was obtained by performing a fast Fourier transform on the number of blades and the rotation frequency of the first turbine unit. The process of performing polynomial fitting on the power generation flow rate and the first operating noise intensity of the first turbine unit under different operating conditions to obtain the third relationship curve between the power generation flow rate and the operating noise intensity of the first turbine unit includes: Polynomial fitting was performed on the power generation flow rate of the first turbine unit under different operating conditions and the intensity of the first operating noise at multiple harmonics to obtain the third relationship curve between the power generation flow rate of the first turbine unit and its own operating noise intensity.

3. A turbine operating noise extraction terminal, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it performs the following steps: The first real-time power generation flow rate of the first turbine unit, the first real-time noise intensity of the first turbine unit, the second real-time power generation flow rate of the second turbine unit, and the second real-time noise intensity of the second turbine unit are collected. Obtain a first relationship curve between a first noise attenuation coefficient, the power generation flow of a first turbine unit, and the power generation flow of a second turbine unit, and a second relationship curve between a second noise attenuation coefficient, the power generation flow of a first turbine unit, and the power generation flow of a second turbine unit. The first noise attenuation coefficient is the noise attenuation coefficient of noise transmitted from the second turbine unit to the first turbine unit, and the second noise attenuation coefficient is the noise attenuation coefficient of noise transmitted from the first turbine unit to the second turbine unit. The first target noise attenuation coefficient corresponding to the first real-time power generation flow and the second real-time power generation flow is determined according to the first relationship curve, and the second target noise attenuation coefficient corresponding to the first real-time power generation flow and the second real-time power generation flow is determined according to the second relationship curve. The operating noise intensity of the first turbine unit itself is obtained based on the first real-time noise intensity, the second real-time noise intensity, the first target noise attenuation coefficient, and the second target noise attenuation coefficient. Before collecting the first real-time power generation flow rate of the first turbine unit, the first real-time noise intensity of the first turbine unit, the second real-time power generation flow rate of the second turbine unit, and the second real-time noise intensity of the second turbine unit, the following steps are also included: The third real-time power generation flow of the first turbine unit, the third real-time noise intensity of the first turbine unit, and the fourth real-time power generation flow of the second turbine unit were collected. Obtain the third relationship curve between the power generation flow rate of the first turbine unit and its own operating noise intensity, and the fourth relationship curve between the power generation flow rate of the second turbine unit and its own operating noise intensity. Based on the third relationship curve and the fourth relationship curve, the first noise attenuation coefficient, the power generation flow of the first turbine unit, and the power generation flow of the second turbine unit are calculated using the third real-time power generation flow, the third real-time noise intensity, and the fourth real-time power generation flow. The fifth real-time power generation flow of the second turbine unit, the fourth real-time noise intensity of the second turbine unit, and the sixth real-time power generation flow of the first turbine unit were collected. Based on the third and fourth relationship curves, the second noise attenuation coefficient, the power generation flow of the first turbine unit, and the power generation flow of the second turbine unit are calculated using the fifth real-time power generation flow, the fourth real-time noise intensity, and the sixth real-time power generation flow. Before collecting the third real-time power generation flow rate of the first turbine unit, the third real-time noise intensity of the first turbine unit, and the fourth real-time power generation flow rate of the second turbine unit, the following steps are also included: The power generation flow and the first operating noise intensity of the first turbine unit under different operating conditions are collected. The first operating noise intensity is the noise intensity under the condition that the first turbine unit is turned on and the second turbine unit is turned off. Polynomial fitting was performed on the power generation flow and the first operating noise intensity of the first turbine unit under different operating conditions to obtain the third relationship curve between the power generation flow and the operating noise intensity of the first turbine unit. The power generation flow and the second operating noise intensity of the second turbine unit under different operating conditions were collected. The second operating noise intensity is the noise intensity under the condition that the second turbine unit is turned on and the first turbine unit is turned off. Polynomial fitting was performed on the power generation flow and the second operating noise intensity of the second turbine unit under different operating conditions to obtain the fourth relationship curve between the power generation flow and the operating noise intensity of the second turbine unit. The step of obtaining the operating noise intensity of the first turbine unit itself based on the first real-time noise intensity, the second real-time noise intensity, the first target noise attenuation coefficient, and the second target noise attenuation coefficient includes: ； In the formula, S 10 S1 represents the operating noise intensity of the first turbine unit itself, S2 represents the first real-time noise intensity, and S3 represents the second real-time noise intensity. This represents the noise attenuation coefficient of the first target. This represents the second target noise attenuation coefficient.

4. A turbine operating noise extraction terminal according to claim 3, characterized in that, After collecting the power generation flow rate and the first operating noise intensity of the first turbine unit under different operating conditions, the method further includes: The intensity of the first operating noise was obtained by performing a fast Fourier transform on the number of blades and the rotation frequency of the first turbine unit. The process of performing polynomial fitting on the power generation flow rate and the first operating noise intensity of the first turbine unit under different operating conditions to obtain the third relationship curve between the power generation flow rate and the operating noise intensity of the first turbine unit includes: Polynomial fitting was performed on the power generation flow rate of the first turbine unit under different operating conditions and the intensity of the first operating noise at multiple harmonics to obtain the third relationship curve between the power generation flow rate of the first turbine unit and its own operating noise intensity.

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