A steam turbine vibration monitoring system and monitoring method thereof

Abstract

The present application discloses a steam turbine vibration monitoring system and a monitoring method thereof, which relates to the field of monitoring and analysis technology, and includes confirming that a target steam turbine engine is in a working state, obtaining corresponding monitoring information of the target steam turbine when in a working state, and then confirming the performance risk index corresponding to the target steam turbine engine according to the monitoring information; judging the performance risk index corresponding to the target steam turbine engine, and obtaining the video information corresponding to the target steam turbine based on the judgment result; extracting the component information corresponding to the target steam turbine from the video information, performing a safety analysis on the component information corresponding to the target steam turbine, and formulating an early warning strategy based on the analysis result of the safety analysis; responding to the early warning strategy, and adjusting the target steam turbine based on the early warning strategy. The present application has the effect of reducing the occurrence of situations in which blades and bearings are damaged due to large vibration of the steam turbine and thus affecting production safety.

Description

Technical Field

[0001] The present application relates to the field of monitoring and analysis technology, and in particular to a steam turbine vibration monitoring system and a monitoring method thereof. Background Art

[0002] A steam turbine, also known as a steam turbine engine, is a rotary steam power device. High-temperature and high-pressure steam passes through a fixed nozzle and becomes an accelerated airflow, which is then sprayed onto the blades, causing the rotor with the blades to rotate and perform work externally. Steam turbines are the main equipment in modern thermal power plants and are also used in the metallurgical industry, chemical industry, and ship power devices.

[0003] In the related technology, the steam turbine equipment is relatively large, and the steam turbine engine vibrates greatly when in operation. If it is not maintained in time, it is easy to cause serious safety hazards. When the steam turbine vibrates too much, it will cause damage to the blades, bearings and other mechanisms. If the blades and bearings of the steam turbine are damaged, it will not only cause damage to the equipment, but also pose a great threat to safe production. There is room for improvement. Summary of the invention

[0004] In view of the deficiencies in the prior art, the present application provides a steam turbine vibration monitoring system and a monitoring method thereof.

[0005] In a first aspect, the present application provides a method for monitoring vibration of a steam turbine, comprising the following steps:

[0006] Confirming that the target steam turbine engine is in a working state, obtaining corresponding monitoring information of the target steam turbine when in the working state, and then confirming the performance risk index corresponding to the target steam turbine engine according to the monitoring information;

[0007] Determining a performance risk index corresponding to the target steam turbine engine, and acquiring video information corresponding to the target steam turbine based on the determination result;

[0008] Extracting component information corresponding to the target steam turbine from the video information, performing safety analysis on the component information corresponding to the target steam turbine, and formulating an early warning strategy based on the analysis results of the safety analysis;

[0009] Responding to the early warning strategy, and adjusting the target steam turbine based on the early warning strategy.

[0010] Preferably, the monitoring information corresponding to the target steam turbine in the working state includes vibration information and rotation speed information.

[0011] Preferably, confirming the performance risk index corresponding to the target steam turbine engine according to the monitoring information specifically includes:

[0012] Obtaining a vibration variation curve Z(t) of the actual vibration frequency of the target steam turbine engine varying with time and a speed variation curve S(t) of the actual speed of the target steam turbine engine varying with time;

[0013] By formula The performance risk index β corresponding to the target steam turbine engine is obtained, where t represents the corresponding working time of the target steam turbine engine, z(t) represents the vibration change curve of the reference vibration frequency changing with time, s(t) represents the speed change curve of the reference speed changing with time, Z′ and S′ represent the standard vibration frequency and standard speed corresponding to the working state of the target steam turbine engine tending to be stable, respectively, and μ1 and μ2 represent the preset weight coefficients, which are obtained by fitting and correcting the test data.

[0014] Preferably, judging the performance risk index corresponding to the target steam turbine engine, and acquiring the video information corresponding to the target steam turbine based on the judgment result, specifically includes:

[0015] Comparing the performance risk index β corresponding to the target steam turbine engine with a preset performance risk threshold;

[0016] If β≤β t , it is determined that the target steam turbine engine is operating normally, and there is no need to perform safety analysis on the target steam turbine;

[0017] If β>β t , it is determined that the target steam turbine engine is operating abnormally, and it is necessary to perform a safety analysis on the target steam turbine, and further obtain video information corresponding to the target steam turbine.

[0018] Preferably, the component information includes bearing wear information and blade crack information, the bearing wear information includes the bearing wear position and the wear amount corresponding to each bearing wear position, and the blade crack information includes the blade crack position, the crack depth corresponding to the blade crack position, and the crack area.

[0019] Preferably, a safety analysis is performed on the component information corresponding to the target steam turbine, specifically including:

[0020] Extract the wear amount corresponding to each bearing wear position according to the bearing wear information, and then draw a wear amount change curve of the wear amount corresponding to each bearing wear position over time based on the wear amount corresponding to each bearing wear position;

[0021] A target wear amount variation curve M(t) is extracted from the wear amount variation curve corresponding to each bearing wear position over time, wherein the target wear amount variation curve is characterized as the wear amount variation curve corresponding to the bearing wear position with the largest wear amount;

[0022] By formula The wear qualification index Kms corresponding to the target steam turbine bearing is obtained, where m(t) represents the reference wear variation curve, Δm represents the maximum allowable wear, and t represents the corresponding working time of the target steam turbine engine.

[0023] Preferably, the safety analysis of the component information corresponding to the target steam turbine further includes:

[0024] By formula The crack qualification index Klw corresponding to the target steam turbine blade is obtained, where Sflaw and Hflaw represent the crack depth and crack area corresponding to the crack position of the blade, V represents the standard volume of the blade, γflaw represents the standard ratio of the crack to the standard volume of the blade, and Pflaw represents the position influence coefficient corresponding to the crack position of the blade.

[0025] Preferably, an early warning strategy is formulated based on the analysis results of the safety analysis, specifically including:

[0026] Substitute the wear qualified index Kms corresponding to the target steam turbine bearing and the crack qualified index Klw corresponding to the target steam turbine blade into the formula α=Kms*ω1+Klw*ω2, and calculate the comprehensive evaluation index α corresponding to the target steam turbine, where ω1 and ω2 represent the weight coefficients corresponding to the wear qualified index and the crack qualified index, respectively;

[0027] The comprehensive evaluation index α corresponding to the target steam turbine is compared with the preset evaluation threshold to confirm the early warning strategy.

[0028] In a second aspect, the present application provides a steam turbine vibration monitoring system, comprising:

[0029] A performance risk index analysis module is used to confirm that the target steam turbine engine is in a working state, obtain the corresponding monitoring information of the target steam turbine when it is in a working state, and then confirm the performance risk index corresponding to the target steam turbine engine according to the monitoring information;

[0030] An analysis and judgment module, used to judge the performance risk index corresponding to the target steam turbine engine, and obtain video information corresponding to the target steam turbine based on the judgment result;

[0031] A safety analysis module, used to extract component information corresponding to the target steam turbine from the video information, perform safety analysis on the component information corresponding to the target steam turbine, and formulate an early warning strategy according to the analysis results of the safety analysis;

[0032] A response module is used to respond to the early warning strategy and adjust the target steam turbine based on the early warning strategy.

[0033] In a third aspect, the present application provides a computer-readable storage medium storing instructions, which, when executed on a computer, enable the computer to execute any one of the above-described methods for monitoring vibration of a steam turbine.

[0034] In summary, the present application includes at least one of the following beneficial technical effects:

[0035] 1. The present invention provides a steam turbine vibration monitoring method, which further determines whether the target steam turbine engine is working normally by analyzing and processing the performance risk index corresponding to the target steam turbine engine. If it is abnormal, the target steam turbine is subjected to safety analysis, and then the wear qualified index corresponding to the target steam turbine bearing and the crack qualified index corresponding to the target steam turbine blade are obtained, so as to confirm the comprehensive evaluation index corresponding to the target steam turbine, and then the early warning strategy is confirmed based on the comparison between the comprehensive evaluation index corresponding to the target steam turbine and the preset evaluation threshold, and then the target steam turbine is adjusted based on the early warning strategy, so as to effectively monitor the vibration of the steam turbine engine, thereby effectively reducing the situation that the blades and bearings are damaged due to the large vibration of the steam turbine, which affects the safe production;

[0036] 2. By analyzing and processing the vibration information and speed information corresponding to the target steam turbine in the working state, the vibration change curve of the actual vibration frequency of the target steam turbine engine changing with time and the speed change curve of the actual speed of the target steam turbine engine changing with time are extracted, and then the performance risk index corresponding to the target steam turbine engine is confirmed, and the working condition of the target steam turbine engine is judged based on the performance risk index corresponding to the target steam turbine engine, thereby effectively reducing the occurrence of serious safety hazards caused by large vibration of the steam turbine engine in the working state and no timely maintenance. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1 It is a flow chart of the method for monitoring vibration of a steam turbine according to an embodiment of the present application.

[0038] Figure 2 It is a system schematic diagram of turbine vibration monitoring according to an embodiment of the present application. DETAILED DESCRIPTION

[0039] The following is combined with Figure 1-2 This application is described in further detail.

[0040] Example 1

[0041] The embodiment of the present application discloses a method for monitoring vibration of a steam turbine.

[0042] Reference Figure 1 , a method for monitoring vibration of a steam turbine, comprising the following steps:

[0043] S1. Confirm that the target steam turbine engine is in working condition, obtain the corresponding monitoring information of the target steam turbine in working condition, and then confirm the performance risk index corresponding to the target steam turbine engine according to the monitoring information;

[0044] S2. judging the performance risk index corresponding to the target steam turbine engine, and obtaining the video information corresponding to the target steam turbine based on the judgment result;

[0045] S3. Extracting component information corresponding to the target turbine from the video information, performing a safety analysis on the component information corresponding to the target turbine, and formulating an early warning strategy based on the analysis results of the safety analysis;

[0046] S4. Respond to the early warning strategy, and adjust the target steam turbine based on the early warning strategy.

[0047] Furthermore, the monitoring information corresponding to the target steam turbine in the working state includes vibration information and rotation speed information.

[0048] It should be noted that the performance risk index corresponding to the target steam turbine engine is determined based on the monitoring information, specifically including:

[0049] Obtaining a vibration variation curve Z(t) of the actual vibration frequency of the target steam turbine engine varying with time and a speed variation curve S(t) of the actual speed of the target steam turbine engine varying with time;

[0050] By formula The performance risk index β corresponding to the target steam turbine engine is obtained, where t represents the corresponding working time of the target steam turbine engine, z(t) represents the vibration change curve of the reference vibration frequency changing with time, s(t) represents the speed change curve of the reference speed changing with time, Z′ and S′ represent the standard vibration frequency and standard speed corresponding to the working state of the target steam turbine engine tending to be stable, respectively, and μ1 and μ2 represent the preset weight coefficients, which are obtained by fitting and correcting the test data.

[0051] Specifically, excessive vibration of the steam turbine will lead to a decline in the quality of the equipment, thereby affecting the working efficiency of the equipment, and the turbine blades affected by the vibration are prone to wear, deformation or cracks. In severe cases, the steam turbine will lose its normal power output capacity, thus affecting production efficiency. Monitoring and analyzing the actual speed corresponding to the steam turbine engine can help identify whether the engine is operating within the optimal speed range. By monitoring and analyzing the actual vibration frequency corresponding to the steam turbine engine, faults in the steam turbine generator can be discovered in a timely manner and corresponding maintenance measures can be taken to ensure the normal operation of the generator and improve its reliability.

[0052] Regular and continuous monitoring can reduce the need for sudden, large-scale repairs and extend the life of equipment by identifying small problems in real time and resolving them promptly, preventing them from becoming major problems.

[0053] Further, the performance risk index corresponding to the target steam turbine engine is judged, and video information corresponding to the target steam turbine is obtained based on the judgment result, specifically including:

[0054] Comparing the performance risk index β corresponding to the target steam turbine engine with a preset performance risk threshold;

[0055] If β≤β t , it is determined that the target steam turbine engine is operating normally, and there is no need to perform safety analysis on the target steam turbine;

[0056] If β>β t , it is determined that the target steam turbine engine is operating abnormally, and it is necessary to perform a safety analysis on the target steam turbine, and further obtain video information corresponding to the target steam turbine.

[0057] Through the above technical scheme, by analyzing and processing the vibration information and speed information corresponding to the target steam turbine in the working state, the vibration change curve of the actual vibration frequency of the target steam turbine engine changing with time and the speed change curve of the actual speed of the target steam turbine engine changing with time are extracted, and then the performance risk index corresponding to the target steam turbine engine is confirmed, and the working condition of the target steam turbine engine is judged based on the performance risk index corresponding to the target steam turbine engine, thereby effectively reducing the situation where the steam turbine engine vibrates greatly in the working state and is not maintained in time, causing serious safety hazards.

[0058] It should be noted that the component information includes bearing wear information and blade crack information. The bearing wear information includes the bearing wear position and the wear amount corresponding to each bearing wear position. The blade crack information includes the blade crack position, the crack depth corresponding to the blade crack position, and the crack area.

[0059] Specifically, the blades and bearings of a steam turbine are the most important components of the steam turbine. Therefore, in an embodiment of the present application, the bearing wear information and blade crack information are analyzed and judged to confirm the comprehensive evaluation index corresponding to the target steam turbine.

[0060] It should be noted that the safety analysis of the component information corresponding to the target steam turbine includes:

[0061] Extract the wear amount corresponding to each bearing wear position according to the bearing wear information, and then draw a wear amount change curve of the wear amount corresponding to each bearing wear position over time based on the wear amount corresponding to each bearing wear position;

[0062] A target wear amount variation curve M(t) is extracted from the wear amount variation curve corresponding to each bearing wear position over time, wherein the target wear amount variation curve is characterized as the wear amount variation curve corresponding to the bearing wear position with the largest wear amount;

[0063] Specifically, in the embodiment of the present application, the wear change curve corresponding to the bearing wear position with the largest wear can be judged by the slope of the wear change curve corresponding to each bearing wear position changing with time, that is, the greater the slope, the greater the wear.

[0064] By formula The wear qualification index Kms corresponding to the target steam turbine bearing is obtained, where m(t) represents the reference wear variation curve, Δm represents the maximum allowable wear, and t represents the corresponding working time of the target steam turbine engine.

[0065] Specifically, the difference between the wear change curve and the reference wear change curve is integrated over the working time to obtain the wear qualified index corresponding to the target turbine bearing. The wear qualified index can help evaluate the health status of the equipment. If the wear qualified index is low, it may indicate that the equipment is wearing too fast and may need maintenance or replacement.

[0066] It should be noted that the safety analysis of the component information corresponding to the target steam turbine also includes:

[0067] By formula The crack qualification index Klw corresponding to the target steam turbine blade is obtained, where Sflaw and Hflaw represent the crack depth and crack area corresponding to the crack position of the blade, V represents the standard volume of the blade, γflaw represents the standard ratio of the crack to the standard volume of the blade, and Pflaw represents the position influence coefficient corresponding to the crack position of the blade.

[0068] Furthermore, an early warning strategy is formulated based on the analysis results of the safety analysis, including:

[0069] Substitute the wear qualified index Kms corresponding to the target steam turbine bearing and the crack qualified index Klw corresponding to the target steam turbine blade into the formula α=Kms*ω1+Klw*ω2, and calculate the comprehensive evaluation index α corresponding to the target steam turbine, where ω1 and ω2 represent the weight coefficients corresponding to the wear qualified index and the crack qualified index, respectively;

[0070] The comprehensive evaluation index α corresponding to the target steam turbine is compared with the preset evaluation threshold to confirm the early warning strategy.

[0071] Through the above technical scheme, by analyzing and processing the performance risk index corresponding to the target steam turbine engine, it is further determined whether the target steam turbine engine is working normally. If abnormal, a safety analysis is performed on the target steam turbine, and then the wear qualification index corresponding to the target steam turbine bearing and the crack qualification index corresponding to the target steam turbine blade are obtained, so as to confirm the comprehensive evaluation index corresponding to the target steam turbine, and then based on the comparison between the comprehensive evaluation index corresponding to the target steam turbine and the preset evaluation threshold, the early warning strategy is confirmed, and then the target steam turbine is adjusted based on the early warning strategy, so as to effectively monitor the vibration of the steam turbine engine, thereby effectively reducing the situation where the blades and bearings are damaged due to the large vibration of the steam turbine and affecting the safe production.

[0072] Example 2

[0073] The embodiment of the present application also discloses a steam turbine vibration monitoring system.

[0074] Reference Figure 2 , a steam turbine vibration monitoring system, comprising:

[0075] A performance risk index analysis module is used to confirm that the target steam turbine engine is in a working state, obtain the corresponding monitoring information of the target steam turbine when it is in a working state, and then confirm the performance risk index corresponding to the target steam turbine engine according to the monitoring information;

[0076] An analysis and judgment module, used to judge the performance risk index corresponding to the target steam turbine engine, and obtain video information corresponding to the target steam turbine based on the judgment result;

[0077] A safety analysis module, used to extract component information corresponding to the target steam turbine from the video information, perform safety analysis on the component information corresponding to the target steam turbine, and formulate an early warning strategy according to the analysis results of the safety analysis;

[0078] A response module is used to respond to the early warning strategy and adjust the target steam turbine based on the early warning strategy.

[0079] The above contents are merely examples and explanations of the concept of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the claims, they should all fall within the protection scope of the present invention.

[0080] In the description of this specification, the description with reference to the terms "one embodiment", "example", "specific example", etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0081] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A method for monitoring vibration of a steam turbine, characterized in that: The following steps are involved: Confirming that the target steam turbine engine is in a working state, obtaining corresponding monitoring information of the target steam turbine when in the working state, and then confirming the performance risk index corresponding to the target steam turbine engine according to the monitoring information; The monitoring information corresponding to the target steam turbine in the working state includes vibration information and rotation speed information; The performance risk index corresponding to the target steam turbine engine is confirmed according to the monitoring information, specifically including: Obtaining a vibration variation curve Z(t) of the actual vibration frequency of the target steam turbine engine varying with time and a speed variation curve S(t) of the actual speed of the target steam turbine engine varying with time; By formula The performance risk index β corresponding to the target steam turbine engine is obtained, where t represents the corresponding working time of the target steam turbine engine, z(t) represents the vibration change curve of the reference vibration frequency over time, s(t) represents the speed change curve of the reference speed over time, Z′ and S′ represent the standard vibration frequency and standard speed corresponding to the target steam turbine engine when the working state tends to be stable, respectively, and μ1 and μ2 represent the preset weight coefficients, which are obtained by fitting and correcting the test data; Determining a performance risk index corresponding to the target steam turbine engine, and acquiring video information corresponding to the target steam turbine based on the determination result; Extracting component information corresponding to the target steam turbine from the video information, performing safety analysis on the component information corresponding to the target steam turbine, and formulating an early warning strategy based on the analysis results of the safety analysis; Responding to the early warning strategy, and adjusting the target steam turbine based on the early warning strategy.

2. A steam turbine vibration monitoring method according to claim 1, characterized in that: The performance risk index corresponding to the target steam turbine engine is judged, and video information corresponding to the target steam turbine is obtained based on the judgment result, specifically including: Comparing the performance risk index β corresponding to the target steam turbine engine with a preset performance risk threshold; If β≤β t , it is determined that the target steam turbine engine is operating normally, and there is no need to perform safety analysis on the target steam turbine; If β>β t , it is determined that the target steam turbine engine is operating abnormally, and it is necessary to perform a safety analysis on the target steam turbine, and further obtain video information corresponding to the target steam turbine.

3. A steam turbine vibration monitoring method according to claim 1, characterized in that: The component information includes bearing wear information and blade crack information. The bearing wear information includes the bearing wear position and the wear amount corresponding to each bearing wear position. The blade crack information includes the blade crack position, the crack depth corresponding to the blade crack position, and the crack area.

4. A steam turbine vibration monitoring method according to claim 3, characterized in that: Conduct safety analysis on the component information corresponding to the target steam turbine, including: Extract the wear amount corresponding to each bearing wear position according to the bearing wear information, and then draw a wear amount change curve of the wear amount corresponding to each bearing wear position over time based on the wear amount corresponding to each bearing wear position; A target wear amount variation curve M(t) is extracted from the wear amount variation curve corresponding to each bearing wear position over time, wherein the target wear amount variation curve is characterized as the wear amount variation curve corresponding to the bearing wear position with the largest wear amount; By formula The wear qualification index Kms corresponding to the target steam turbine bearing is obtained, where m(t) represents the reference wear variation curve, Δm represents the maximum allowable wear, and t represents the corresponding working time of the target steam turbine engine.

5. A steam turbine vibration monitoring method according to claim 4, characterized in that: Conduct safety analysis on the component information corresponding to the target steam turbine, including: By formula The crack qualification index Klw corresponding to the target steam turbine blade is obtained, where Sflaw and Hflaw represent the crack depth and crack area corresponding to the crack position of the blade, V represents the standard volume of the blade, γflaw represents the standard ratio of the crack to the standard volume of the blade, and Pflaw represents the position influence coefficient corresponding to the crack position of the blade.

6. A steam turbine vibration monitoring method according to claim 5, characterized in that: Develop early warning strategies based on the results of safety analysis, including: Substitute the wear qualified index Kms corresponding to the target steam turbine bearing and the crack qualified index Klw corresponding to the target steam turbine blade into the formula α=Kms*ω1+Klw*ω2, and calculate the comprehensive evaluation index α corresponding to the target steam turbine, where ω1 and ω2 represent the weight coefficients corresponding to the wear qualified index and the crack qualified index, respectively; The comprehensive evaluation index α corresponding to the target steam turbine is compared with the preset evaluation threshold to confirm the early warning strategy.

7. A steam turbine vibration monitoring system, applied to a steam turbine vibration monitoring method as claimed in any one of claims 1 to 6, characterized in that: include: A performance risk index analysis module is used to confirm that the target steam turbine engine is in a working state, obtain the corresponding monitoring information of the target steam turbine when it is in a working state, and then confirm the performance risk index corresponding to the target steam turbine engine according to the monitoring information; An analysis and judgment module, used to judge the performance risk index corresponding to the target steam turbine engine, and obtain video information corresponding to the target steam turbine based on the judgment result; A safety analysis module, used to extract component information corresponding to the target steam turbine from the video information, perform safety analysis on the component information corresponding to the target steam turbine, and formulate an early warning strategy according to the analysis results of the safety analysis; A response module is used to respond to the early warning strategy and adjust the target steam turbine based on the early warning strategy.

8. A computer-readable storage medium, characterized in that: Instructions are stored, and when the instructions are executed on a computer, the computer is caused to execute a steam turbine vibration monitoring method as claimed in any one of claims 1 to 6.

Images