Water turbine runner crack monitoring system and method

By installing fixed components and analysis modules on the turbine, collecting and analyzing sound wave data, the problem of low accuracy in monitoring the cracks of the turbine wheel is solved, and accurate online monitoring of the cracks of the turbine wheel is achieved, reducing monitoring costs and improving operation Efficiency and safety.

CN119269645APending Publication Date: 2025-01-07HUADIAN TIBET ENERGY CO LTD +1

Patent Information

Application Number
CN202411202520.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-08-29
Publication Date
2025-01-07

AI Technical Summary

Technical Problem

The existing turbine wheel crack monitoring technology has the problem of low monitoring accuracy, and it is impossible to accurately monitor the operating status of the turbine wheel.

Method used

By installing fixed components on the turbine, including large shaft fixing ring, acquisition module and analysis module, acquiring and analyzing acoustic data, the signal enhancement, data preprocessing and communication units are used to realize online monitoring of the cracks in the turbine wheel, reducing monitoring costs. Improve monitoring accuracy.

Benefits of technology

Accurate online monitoring of the cracks in the turbine wheel is achieved, which reduces monitoring costs, improves monitoring accuracy, reduces downtime due to equipment loosening and line problems, and improves the operating efficiency and safety of the turbine.

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Abstract

The invention relates to a water turbine runner crack monitoring system and method.According to the system, an acquisition module and an analysis module are fixed to a water turbine through a large shaft fixing ring, and the acquisition module and the analysis module are fixedly installed on the water turbine; the acquisition module is used for acquiring operation condition data of the water turbine, and the operation condition data of the water turbine comprises sound wave data; and the analysis module is electrically connected with the acquisition module and is used for performing analysis according to the operation condition data of the water turbine and sending an analysis result to a user terminal. On-line monitoring of the turbine runner crack is realized, the monitoring cost is reduced, and the monitoring accuracy is improved. The problem of low monitoring accuracy of a water turbine runner crack monitoring technology in related technologies is solved.
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Description

Technical Field

[0001] The present application relates to the technical field of water turbine monitoring, and in particular to a water turbine runner crack monitoring system and method. Background Art

[0002] As a large-scale electromechanical equipment, the safety and stability of the operation of the turbine unit are of great significance. The turbine runner is one of the important parts of the turbine, responsible for the important task of converting water energy into mechanical energy, but it is very easy to crack. For example, the runners of the Three Gorges, Yantan, Lijiaxia, Wujiangdu, Guangzhao, Yunnan Yilihe, Gaosha and other hydropower plants all had cracks after the units were operated for 3 to 4 years, which seriously affected the safe and economic operation of the hydropower station. The runner cracks are still a common problem of hydropower stations.

[0003] Chinese patent publication number CN 212563514 U proposes a turbine that can timely monitor the cracks of runner blades online. By setting a through hole on the tailwater cone of the turbine, placing an ultrasonic detection head inside, and connecting it to an external ultrasonic detector and a computer through a wire, the running condition of the turbine runner blades can be detected in real time. However, this patent requires the modification of the tailwater cone, which cannot eliminate interference factors and the monitoring results are inaccurate.

[0004] At present, the existing technology for monitoring cracks in turbine runners has the problem of low monitoring accuracy. Summary of the invention

[0005] The embodiments of the present application provide a water turbine runner crack monitoring system and method to at least solve the problem of low monitoring accuracy in water turbine runner crack monitoring technology in the related art.

[0006] In a first aspect, an embodiment of the present application provides a turbine runner crack monitoring system, the system comprising a fixing component, a collection module and an analysis module; wherein:

[0007] The fixing assembly is used to fix the acquisition module and the analysis module on the water turbine through a large shaft fixing ring, wherein the acquisition module and the analysis module are fixedly installed on the water turbine;

[0008] The acquisition module is used to collect turbine operating condition data, wherein the turbine operating condition data includes sound wave data;

[0009] The analysis module is electrically connected to the acquisition module, and is used to analyze the turbine operation condition data and send the analysis result to the user terminal.

[0010] In one embodiment, the analysis module includes:

[0011] The analysis module comprises:

[0012] A signal enhancement unit, used to enhance the amplitude of the acoustic wave signal received from the acoustic emission sensor;

[0013] A data preprocessing unit, used for performing preprocessing operations on the enhanced sound wave signal;

[0014] A processing unit, used to convert the sound wave signal after the data preprocessing into a monitoring value, and compare it with a preset monitoring value to obtain a comparison result;

[0015] The communication unit is used to transmit data to a user terminal and receive a control signal from the user terminal.

[0016] In one embodiment, the fixing assembly comprises:

[0017] A main shaft fixing ring, the main shaft fixing ring comprising a first main shaft fixing bracket and a second main shaft fixing bracket,

[0018] A connecting member, through which the first main shaft fixing bracket and the second main shaft fixing bracket are fixedly connected to the turbine;

[0019] The movable wire clamp is used to fix the data wires and / or power wires of the acquisition module and the analysis module.

[0020] In one embodiment, the number of the acoustic emission sensor is at least one, and the acoustic emission sensor is located on the main shaft fixing ring. If the number of the emission sensors is multiple, the distances between two adjacent acoustic emission sensors on the main shaft fixing ring are equal.

[0021] In one embodiment, the acquisition module includes an acoustic emission sensor, which is used to collect sound wave data when the turbine is running and transmit the sound wave data to the analysis module.

[0022] In one embodiment, the system further comprises:

[0023] The positioning module is electrically connected to the analysis module and is used to obtain positioning data.

[0024] In one embodiment, the system further comprises:

[0025] The early warning module is electrically connected to the analysis module and is used to determine whether to trigger the alarm module based on the analysis result.

[0026] In one embodiment, the positioning module is one or a combination of a GPS positioning chip, a Bluetooth positioning chip, or a BeiDou positioning chip.

[0027] In one embodiment, the communication unit is one or a combination of 3G module, 4G module, 5G module, Bluetooth module, WIFI module, ZigBee module and RFID tag.

[0028] In a second aspect, an embodiment of the present application provides a method for monitoring cracks in a turbine runner, wherein a collection module and an analysis module are fixed to the turbine through a large shaft fixing ring, wherein the collection module and the analysis module are fixedly installed on the turbine;

[0029] Collecting turbine operation condition data through the acquisition module, wherein the turbine operation condition data includes sound wave data;

[0030] An analysis is performed based on the turbine operating condition data, and the analysis result is sent to a user terminal.

[0031] In a third aspect, an embodiment of the present application provides a computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the turbine runner crack monitoring system as described in the first aspect above is implemented.

[0032] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the turbine runner crack monitoring system as described in the first aspect above.

[0033] The turbine runner crack monitoring system and method provided in the embodiments of the present application have at least the following technical effects.

[0034] The present application uses a fixing component to fix the acquisition module and the analysis module on the turbine through a large shaft fixing ring, wherein the acquisition module and the analysis module are fixedly installed on the turbine; the acquisition module is used to collect turbine operating condition data, wherein the turbine operating condition data includes acoustic wave data; the analysis module is electrically connected to the acquisition module, and is used to analyze according to the turbine operating condition data, and send the analysis results to the user terminal. The online monitoring of turbine runner cracks is realized, the monitoring cost is reduced, and the monitoring accuracy is provided. The problem of low monitoring accuracy in the turbine runner crack monitoring technology in the related art is solved.

[0035] Details of one or more embodiments of the present application are set forth in the following drawings and description to make other features, objects, and advantages of the present application more readily apparent. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0037] Figure 1 It is the structural diagram of the turbine runner crack monitoring system;

[0038] Figure 2 is a schematic structural diagram of a fixing assembly according to an exemplary embodiment;

[0039] Figure 3 is a schematic diagram of the structure of an analysis module according to an exemplary embodiment;

[0040] Figure 4 is a flow chart of a method for monitoring cracks in a water turbine runner according to an exemplary embodiment;

[0041] Reference numerals:

[0042] 1. The first large axis fixing bracket; 2. The second large axis fixing bracket; 3. Connecting bolts; 4. Fixing bracket; 5. Power supply; 6. Analysis module; 7. Acoustic emission sensor. DETAILED DESCRIPTION

[0043] In order to make the purpose, technical solutions and advantages of the present application clearer, the present application is described and illustrated below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not intended to limit the present application. Based on the embodiments provided in the present application, all other embodiments obtained by ordinary technicians in the field without making creative work are within the scope of protection of the present application.

[0044] Obviously, the drawings described below are only some examples or embodiments of the present application. For ordinary technicians in this field, the present application can also be applied to other similar scenarios based on these drawings without creative work. In addition, it can also be understood that although the efforts made in this development process may be complicated and lengthy, for ordinary technicians in this field related to the content disclosed in this application, some changes in design, manufacturing or production based on the technical content disclosed in this application are just conventional technical means, and should not be understood as insufficient content disclosed in this application.

[0045] Reference to "embodiments" in this application means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those of ordinary skill in the art that the embodiments described in this application may be combined with other embodiments without conflict.

[0046] Unless otherwise defined, the technical terms or scientific terms involved in this application should be understood by people with ordinary skills in the technical field to which this application belongs. The words "one", "a", "a", "the" and the like involved in this application do not indicate a quantitative limitation, and may represent the singular or plural. The terms "include", "comprise", "have" and any of their variations involved in this application are intended to cover non-exclusive inclusions; for example, a process, method, system, product or device that includes a series of steps or modules (units) is not limited to the listed steps or units, but may also include steps or units that are not listed, or may also include other steps or units inherent to these processes, methods, products or devices. The words "connect", "connected", "coupled" and the like involved in this application are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. The "multiple" involved in this application refers to two or more. "And / or" describes the association relationship of associated objects, indicating that there may be three relationships, for example, "A and / or B" can represent: A exists alone, A and B exist at the same time, and B exists alone. The character " / " generally indicates that the objects before and after are in an "or" relationship. The terms "first", "second", "third", etc. involved in this application are only used to distinguish similar objects and do not represent a specific ordering of the objects.

[0047] In a first aspect, an embodiment of the present application provides a turbine runner crack monitoring system. Figure 1 is a structural diagram of a turbine runner crack monitoring system according to an exemplary embodiment. Figure 1 As shown, the system includes a fixed component, a collection module and an analysis module 6; wherein:

[0048] A fixing assembly 110, used to fix the acquisition module and the analysis module 6 on the turbine through a large shaft fixing ring, wherein the acquisition module and the analysis module 6 are fixedly installed on the turbine;

[0049] A collection module 120, used for collecting turbine operating condition data, wherein the turbine operating condition data includes acoustic wave data;

[0050] The analysis module 6 is electrically connected to the acquisition module and is used to analyze the turbine operation condition data and send the analysis results to the user terminal.

[0051] In summary, the fixing assembly provided in the embodiment of the present application is used to fix the acquisition module and the analysis module 6 on the turbine through the large shaft fixing ring, wherein the acquisition module and the analysis module 6 are fixedly installed on the turbine; the acquisition module is used to collect the turbine operating condition data, wherein the turbine operating condition data includes acoustic wave data; the analysis module 6 is electrically connected to the acquisition module, and is used to analyze according to the turbine operating condition data, and send the analysis results to the user terminal. The online monitoring of the turbine runner crack is realized, the monitoring cost is reduced, and the monitoring accuracy is provided. The problem of low monitoring accuracy in the turbine runner crack monitoring technology in the related art is solved.

[0052] Figure 2 is a schematic diagram of the structure of a fixing assembly according to an exemplary embodiment. Figure 2 As shown, the fixing assembly includes:

[0053] The main shaft fixing ring includes a first main shaft fixing bracket 1 and a second main shaft fixing bracket 2.

[0054] A connecting piece, through which the first main shaft fixing bracket 1 and the second main shaft fixing bracket 2 are fixedly connected to the turbine;

[0055] The movable wire clamp is used to fix the data wires and / or power wires of the acquisition module and the analysis module 6 .

[0056] Optionally, the main shaft fixing ring includes a first main shaft fixing bracket 1 and a second main shaft fixing bracket 2, and the first main shaft fixing bracket 1 and the second main shaft fixing bracket 2 are fixedly connected to the turbine through a connecting piece. Specifically, the main shaft fixing ring can be installed on the lower end shaft of the waterwheel chamber, located above the top cover. The connecting piece includes: a fixed connecting piece and / or an adaptive connecting piece. The fixed connecting piece can be a connecting bolt, a bolt, a locking nut, etc., used to stabilize the workpiece of the first main shaft fixing bracket 1 and the second main shaft fixing bracket 2 during metal cutting, drilling, grinding and other processing. The adaptive connecting piece can be a component that automatically adjusts its clamping mode and clamping force according to the shape, size or other characteristics of the clamped object. The wire clamp is designed to fix the data line and / or power line of the acquisition module and the analysis module 6. By moving the wire clamp, these lines can be easily managed to prevent them from breaking or short-circuiting due to vibration or movement when the turbine is running. It can adapt to the fixing requirements of lines of different lengths or different positions.

[0057] Specifically, the main shaft fixing ring includes a first main shaft fixing bracket 1 and a second main shaft fixing bracket 2, which are combined into a whole by connecting bolts 3 and are in close contact with the surface of the lower shaft. After fixing the main shaft fixing ring, check whether the gap between the main shaft fixing ring and the main shaft of the turbine exceeds 0.5 mm. If it exceeds, it is necessary to find a copper sheet of the same thickness according to the size of the gap and install it between the mating surface of the main shaft fixing ring and the main shaft of the turbine. The preload force provided by the connecting bolts 3 ensures that the main shaft fixing ring and the lower shaft do not undergo relative displacement when the unit is running.

[0058] According to the above-mentioned fixing components, the acquisition module and the analysis module 6 can be firmly mounted on the turbine through the design of the large shaft fixing ring, reducing the risk of equipment loosening or damage caused by vibration or mechanical movement. Using a mobile wire clamp to fix the data cable and the power cable can effectively prevent the line from breaking due to swinging or friction when the turbine is running, thereby reducing the safety risk caused by electrical failure. By optimizing the fixing method of the equipment and the line management, the downtime caused by loose equipment or line problems can be reduced, thereby improving the overall operating efficiency of the turbine.

[0059] In one embodiment, the acquisition module includes an acoustic emission sensor 7 , which is used to collect acoustic wave data when the turbine is running, and transmit the acoustic wave data to the analysis module 6 .

[0060] Optionally, the acoustic emission sensor 7 is fixedly connected to the main shaft fixing ring and electrically connected to the analysis module 6. When the turbine is running, its internal structure and fluid dynamics will generate specific sound waves. These sound waves contain rich information, such as the operating status of the turbine, fault precursors, and fluid flow characteristics. By setting the acoustic emission sensor 7, these sound waves can be accurately captured and converted into electrical signals. By analyzing the frequency, amplitude, waveform and other characteristics of the sound wave data, the crack information of the turbine can be extracted.

[0061] Figure 3 is a schematic diagram of the structure of the analysis module 6 according to an exemplary embodiment, as shown in Figure 3 As shown, the analysis module 6 includes:

[0062] The signal enhancement unit 610 is used to enhance the amplitude of the sound wave signal received from the acoustic emission sensor 7 .

[0063] The data preprocessing unit 620 is used to perform preprocessing operations on the enhanced sound wave signal.

[0064] The processing unit 630 is used to convert the sound wave signal after the data preprocessing into a monitoring value, and compare it with the preset monitoring value to obtain a comparison result.

[0065] The communication unit 640 is used to transmit data to the user terminal and receive a control signal from the user terminal.

[0066] Optionally, the signal enhancement unit is responsible for enhancing the amplitude of the sound wave signal received from the acoustic emission sensor 7. Due to the complexity of the operating environment of the turbine, the sound wave signal may be subject to various interferences during the transmission process, resulting in signal strength attenuation. The signal enhancement unit improves the signal-to-noise ratio of the signal by amplifying the signal amplitude, making the subsequent analysis more accurate and reliable. The data preprocessing unit performs preprocessing operations on the monitoring value. The preprocessing operation may include filtering, denoising, smoothing, etc., which are intended to eliminate abnormal values, noise and fluctuations in the data and extract more useful information. The preprocessed data is more stable and reliable, providing a better basis for subsequent comparative analysis. The processing unit compares the monitoring value after data preprocessing with the preset monitoring value. The preset monitoring value is set according to the normal operating state or standard value of the turbine. By comparing with the actual monitoring value, it can be determined whether the turbine runner has cracks. The processing unit can quickly identify the abnormal situation of the turbine runner and generate corresponding comparison results to provide a basis for subsequent decisions and measures. The communication unit is responsible for transmitting data to the user terminal and receiving the control signal of the user terminal. This allows users to obtain real-time information about the turbine runner status and keep abreast of the equipment's operating conditions. At the same time, users can also remotely control the system by sending control signals to achieve remote monitoring and management. The introduction of the communication unit improves the flexibility and convenience of the system, making monitoring more efficient and convenient.

[0067] It is worth noting that the acoustic wave data is collected by an acoustic emission sensor, wherein acoustic emission refers to the phenomenon that a material emits a transient elastic wave due to the rapid release of energy locally, also known as stress wave emission. The deformation and crack extension of a material under stress are important mechanisms of structural failure. This source directly related to the deformation and fracture mechanism is called an acoustic emission source. Acoustic emission is a passive detection and does not emit a signal itself. In the embodiment of the present application, when the runner material generates cracks or deformations, a transient elastic wave is generated with the rapid release of energy, which is propagated to the surface of the runner through the medium, causing mechanical vibration of the surface, and the transient displacement or deformation of the surface is converted into an electrical signal through the acoustic emission sensor, which is analyzed, processed, amplified, and a waveform and characteristic parameters are formed and recorded and displayed. Compared with vibration analysis, acoustic emission technology can monitor smaller cracks. In one embodiment, the communication unit is one or more combinations of a 3G unit, a 4G unit, a 5G unit, a Bluetooth unit, a WIFI unit, a ZigBee unit, and an RFID tag. The combination of multiple communication methods can ensure stable and efficient data transmission and command reception in different scenarios. This can not only improve the reliability and real-time performance of the turbine runner crack monitoring system, but also provide users with a more convenient and flexible operation experience. At the same time, selecting the appropriate communication method according to specific needs and scenarios can further reduce communication costs and improve the overall performance of the system.

[0068] In one embodiment, the system further includes: a positioning module, electrically connected to the analysis module 6, for obtaining positioning data. The positioning module is one or more combinations of a GPS positioning chip, a Bluetooth positioning chip, or a BeiDou positioning chip. The positioning data of the turbine is obtained through the positioning module, which provides important location information support for the monitoring and management of the system. Whether using GPS, Bluetooth or BeiDou positioning chip, the appropriate positioning method can be selected according to specific needs and scenarios to achieve accurate and reliable positioning functions. It helps to improve the overall performance of the turbine operation status monitoring system and provide strong guarantees for the safe and efficient operation of the turbine.

[0069] In one embodiment, the system further comprises a power supply module 5, which is electrically connected to the analysis module 6 and the acquisition module and provides power. The power supply module 5 provides a stable and reliable power supply to the analysis module 6 and the acquisition module, thereby ensuring the normal operation and monitoring effect of the system.

[0070] In one embodiment, the system further includes: an early warning module, which is electrically connected to the analysis module 6 and is used to determine whether to trigger the alarm module according to the analysis results. The early warning module determines whether to trigger the alarm module according to the analysis results, thereby achieving real-time monitoring and early warning of the operating status of the turbine. This design improves the reliability and intelligence level of the system and provides a strong guarantee for the safe and efficient operation of the turbine.

[0071] In one embodiment, the main shaft fixing ring can be changed from 2 parts (the first main shaft fixing ring 1 and the second main shaft fixing ring 2) to 4 parts (the first main shaft fixing ring 1, the second main shaft fixing ring 2, the third main shaft fixing ring and the fourth main shaft fixing ring) and divided equally, and the symmetrical parts are weighted and balanced. The power module 5 and the analysis module 6 located on the main shaft fixing ring can adjust their positions with each other. The power supply can be a mobile power supply or a self-generating power supply. The number of acoustic emission sensors is at least 1, which is located on the main shaft fixing ring. If the number of emission sensors is multiple, the distance between two adjacent acoustic emission sensors on the main shaft fixing ring is equal. The flexibility and adaptability of the system design are improved by the design changes of the main shaft fixing ring and the position adjustment of the power module 5 and the analysis module 6. The system can better adapt to different working environments and requirements, and improve the reliability and performance of the system.

[0072] In summary, the fixing assembly provided in the embodiment of the present application is used to fix the acquisition module and the analysis module 6 on the turbine through the large shaft fixing ring, wherein the acquisition module and the analysis module 6 are fixedly installed on the turbine; the acquisition module is used to collect the turbine operating condition data, wherein the turbine operating condition data includes sound wave data; the analysis module 6 is electrically connected to the acquisition module, and is used to analyze according to the turbine operating condition data, and send the analysis results to the user terminal. It can realize the alarm of crack generation, the prediction of crack development trend and the location of sound source, which can not only avoid the inconvenience of on-site testing and regular shutdown and maintenance of traditional detection and analysis methods, but also directly reduce the economic losses caused by shutdown and maintenance, thereby maximizing the production efficiency of the hydro-generator set and providing monitoring accuracy. It solves the problem of low monitoring accuracy in the related technology of turbine runner crack monitoring technology.

[0073] In a second aspect, an embodiment of the present application provides a method for monitoring cracks in a turbine runner. Figure 4 FIG. 1 is a flow chart of a method for monitoring cracks in a turbine runner according to an exemplary embodiment. Figure 4 As shown, the method includes:

[0074] Step S101, fixing the acquisition module and the analysis module 6 on the water turbine through the main shaft fixing ring, wherein the acquisition module and the analysis module 6 are fixedly installed on the water turbine.

[0075] Step S102: collecting turbine operating condition data through a collection module, wherein the turbine operating condition data includes sound wave data.

[0076] Step S103: Analyze the turbine operating condition data and send the analysis result to the user terminal.

[0077] In summary, the fixing assembly provided in the embodiment of the present application is used to fix the acquisition module and the analysis module 6 on the turbine through the large shaft fixing ring, wherein the acquisition module and the analysis module 6 are fixedly installed on the turbine; the acquisition module is used to collect the turbine operating condition data, wherein the turbine operating condition data includes acoustic wave data; the analysis module 6 is electrically connected to the acquisition module, and is used to analyze according to the turbine operating condition data, and send the analysis results to the user terminal. The online monitoring of the turbine runner crack is realized, the monitoring cost is reduced, and the monitoring accuracy is provided. The problem of low monitoring accuracy in the turbine runner crack monitoring technology in the related art is solved.

[0078] In a second aspect, an embodiment of the present application provides a method for monitoring cracks in a turbine runner. Figure 4 FIG. 1 is a flow chart of a method for monitoring cracks in a turbine runner according to an exemplary embodiment. Figure 4 As shown, the method includes:

[0079] Step S101, fixing the acquisition module and the analysis module on the water turbine through a large shaft fixing ring, wherein the acquisition module and the analysis module are fixedly installed on the water turbine;

[0080] Step S102, collecting turbine operating condition data through a collection module, wherein the turbine operating condition data includes sound wave data;

[0081] Step S103: Analyze the turbine operating condition data and send the analysis result to the user terminal.

[0082] In summary, the fixing assembly provided in the embodiment of the present application is used to fix the acquisition module and the analysis module on the turbine through the large shaft fixing ring, wherein the acquisition module and the analysis module are fixedly installed on the turbine; the acquisition module is used to collect turbine operating condition data, wherein the turbine operating condition data includes acoustic wave data; the analysis module is electrically connected to the acquisition module, and is used to analyze according to the turbine operating condition data, and send the analysis results to the user terminal. The online monitoring of turbine runner cracks is realized, the monitoring cost is reduced, and the monitoring accuracy is provided. The problem of low monitoring accuracy in the turbine runner crack monitoring technology in the related art is solved.

[0083] It should be noted that the turbine runner crack monitoring method provided in this embodiment is used to implement the above-mentioned implementation mode, and the descriptions that have been made will not be repeated. As used above, the terms "module", "unit", "subunit" and the like can implement a combination of software and / or hardware of a predetermined function. Although the device described in the above embodiment is preferably implemented in software, the implementation of hardware, or a combination of software and hardware is also possible and conceivable.

[0084] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0085] The above embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the invention patent. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the patent of the present application shall be subject to the attached claims.

Claims

1. A turbine runner crack monitoring system, characterized in that: The system comprises a fixing component, a collection module and an analysis module; wherein: The fixing assembly is used to fix the acquisition module and the analysis module on the water turbine through a large shaft fixing ring, wherein the acquisition module and the analysis module are fixedly installed on the water turbine; The acquisition module is used to collect turbine operating condition data, wherein the turbine operating condition data includes sound wave data; The analysis module is electrically connected to the acquisition module, and is used to analyze the turbine operation condition data and send the analysis result to the user terminal.

2. A turbine runner crack monitoring system according to claim 1, characterized in that: The analysis module comprises: A signal enhancement unit, used to enhance the amplitude of the acoustic wave signal received from the acoustic emission sensor; A data preprocessing unit, used for performing preprocessing operations on the enhanced sound wave signal; A processing unit, used to convert the sound wave signal after the data preprocessing into a monitoring value, and compare it with a preset monitoring value to obtain a comparison result; The communication unit is used to transmit data to a user terminal and receive a control signal from the user terminal.

3. A turbine runner crack monitoring system according to claim 1, characterized in that: The fixing assembly comprises: A main shaft fixing ring, the main shaft fixing ring comprising a first main shaft fixing bracket and a second main shaft fixing bracket, A connecting member, through which the first main shaft fixing bracket and the second main shaft fixing bracket are fixedly connected to the turbine; The movable wire clamp is used to fix the data wires and / or power wires of the acquisition module and the analysis module.

4. A turbine runner crack monitoring system according to claim 1, characterized in that: The acquisition module comprises an acoustic emission sensor, which is used to collect acoustic wave data when the turbine is running and transmit the acoustic wave data to the analysis module.

5. A turbine runner crack monitoring system according to claim 4, characterized in that: The number of the acoustic emission sensors is at least one, and the sensors are located on the main shaft fixing ring. If the number of the emission sensors is multiple, the distances between two adjacent acoustic emission sensors on the main shaft fixing ring are equal.

6. A turbine runner crack monitoring system according to claim 1, characterized in that: The system further comprises: The positioning module is electrically connected to the analysis module and is used to obtain positioning data.

7. A turbine runner crack monitoring system according to claim 1, characterized in that: The system further comprises: The early warning module is electrically connected to the analysis module and is used to determine whether to trigger the alarm module based on the analysis result.

8. A turbine runner crack monitoring system according to claim 6, characterized in that: The positioning module is one or a combination of a GPS positioning chip, a Bluetooth positioning chip, or a BeiDou positioning chip.

9. A turbine runner crack monitoring system according to claim 2, characterized in that: The communication unit is one or a combination of a 3G unit, a 4G unit, a 5G unit, a Bluetooth unit, a WIFI unit, a ZigBee unit and an RFID tag.

10. A method for monitoring cracks in a turbine runner, characterized in that: The method comprises: The collection module and the analysis module are fixed on the water turbine through a large shaft fixing ring, wherein the collection module and the analysis module are fixedly installed on the water turbine; Collecting turbine operation condition data through the acquisition module, wherein the turbine operation condition data includes sound wave data; An analysis is performed based on the turbine operating condition data, and the analysis result is sent to a user terminal.

Citation Information

Patent Citations

  • Water turbine capable of timely monitoring runner blade cracks on line

    CN212563514U

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