CN116662051A - Method and device for determining fault risk component of water turbine - Google Patents
Method and device for determining fault risk component of water turbine Download PDFInfo
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/07—Responding to the occurrence of a fault, e.g. fault tolerance
- G06F11/0703—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation
- G06F11/0706—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation the processing taking place on a specific hardware platform or in a specific software environment
- G06F11/0712—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation the processing taking place on a specific hardware platform or in a specific software environment in a virtual computing platform, e.g. logically partitioned systems
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/07—Responding to the occurrence of a fault, e.g. fault tolerance
- G06F11/0703—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation
- G06F11/0751—Error or fault detection not based on redundancy
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/07—Responding to the occurrence of a fault, e.g. fault tolerance
- G06F11/0703—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation
- G06F11/079—Root cause analysis, i.e. error or fault diagnosis
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Abstract
The application discloses a method, a device, equipment and a storage medium for determining fault risk components of a water turbine, and relates to the technical field of water conservancy and hydropower. The method comprises the following steps: detecting a first radial deviation value of a first position in the water turbine under the condition that the water turbine is in an operating state; determining a target fault radial deviation value matched with the first radial deviation value in at least one preset fault radial deviation value, wherein each fault radial deviation value is configured to correspond to at least one fault simulation component, and the fault simulation component is as follows: when the first target position of the water turbine model is operated under the condition of corresponding fault radial deviation value, determining a part with fault in the water turbine model; the water turbine model is a model corresponding to the water turbine in the virtual environment; and determining the parts matched with at least one target fault simulation part in the water turbine as parts with fault risks, wherein each target fault simulation part is a fault simulation part corresponding to the target fault radial deviation value.
Description
Technical Field
The application belongs to the technical field of water conservancy and hydropower, and particularly relates to a method, a device, equipment and a storage medium for determining a fault risk component of a water turbine.
Background
The hydraulic turbine is a core device of the hydroelectric power station, and fault diagnosis of the hydraulic turbine is important for operation and management of the power station. Along with the increasing complexity of the structure of the hydroelectric generating set, the increasing degree of automation and the increasing single machine capacity, the higher requirements are put forward on the utilization rate of the generating set equipment, the running efficiency of the water turbine, the safety, the stability and the economy of the generating set. Therefore, the research and optimization of the fault diagnosis of the water turbine are particularly important. However, the related research of the existing water turbine cannot accurately diagnose the parts of the water turbine which possibly fail.
Disclosure of Invention
The embodiment of the application provides a method, a device, equipment and a storage medium for determining a fault risk component of a water turbine, which can consider the influence of different radial installation deviations on the water turbine, so that the fault risk component of the water turbine can be accurately diagnosed.
In a first aspect, an embodiment of the present application provides a method for determining a fault risk component of a water turbine, where the method includes:
detecting a first radial deviation value of a first position in the water turbine under the condition that the water turbine is in an operating state;
determining a target fault radial deviation value matched with the first radial deviation value in at least one preset fault radial deviation value, wherein each fault radial deviation value is configured to correspond to at least one simulated fault component, and the simulated fault component is: when the hydraulic turbine model operates under the condition that the first position of the hydraulic turbine model has a corresponding fault radial deviation value, the hydraulic turbine model is determined to be a fault component; the water turbine model is a model corresponding to the water turbine in a virtual environment;
and determining the parts matched with at least one target simulated fault part in the water turbine as parts with fault risks, wherein each target simulated fault part is a simulated fault part corresponding to the target fault radial deviation value.
In a second aspect, an embodiment of the present application provides a device for determining a failure risk component of a water turbine, where the device includes:
the detection module is used for detecting a first radial deviation value of a first position in the water turbine under the condition that the water turbine is in an operating state;
a first determining module, configured to determine, from at least one preset fault radial deviation value, a target fault radial deviation value that matches the first radial deviation value, where each fault radial deviation value is configured to correspond to at least one simulated fault component, and the simulated fault component is: when the hydraulic turbine model operates under the condition that the first position of the hydraulic turbine model has a corresponding fault radial deviation value, the hydraulic turbine model is determined to be a fault component; the water turbine model is a model corresponding to the water turbine in a virtual environment;
and the second determining module is used for determining the parts matched with at least one target simulated fault part in the water turbine as parts with fault risks, and each target simulated fault part is a simulated fault part corresponding to the target fault radial deviation value.
In a third aspect, an embodiment of the present application provides an electronic device, including: a processor and a memory storing computer program instructions; the processor, when executing the computer program instructions, implements a method for determining a fault risk component of a hydraulic turbine as described in any one of the above.
In a fourth aspect, embodiments of the present application provide a computer readable storage medium having stored thereon computer program instructions which, when executed by a processor, implement a method of determining a risk of failure component of a hydraulic turbine as defined in any one of the preceding claims.
The method, the device, the equipment and the storage medium for determining the fault risk component of the water turbine can detect the first radial deviation value of the first position in the water turbine under the condition that the water turbine is in the running state; determining a target fault radial deviation value matched with the first radial deviation value in at least one preset fault radial deviation value; the component of the turbine that matches the at least one target simulated faulty component is determined to be the component at risk of failure. Therefore, the embodiment of the application can consider the influence of different radial installation deviations when the water turbine operates, and accurately and quickly diagnose the fault risk component of the water turbine based on the corresponding relation between the fault radial deviation value determined by the simulation operation of the water turbine model and at least one simulation fault component.
Drawings
In order to more clearly illustrate the technical solution of the embodiments of the present application, the drawings that are needed to be used in the embodiments of the present application will be briefly described, and it is possible for a person skilled in the art to obtain other drawings according to these drawings without inventive effort.
FIG. 1 is a schematic flow chart of a method for determining a failure risk component of a hydraulic turbine according to an embodiment of the present application;
FIG. 2 is a schematic view of a radial offset portion provided by an embodiment of the present application;
FIG. 3 is a schematic diagram of a simulation of radial deviation provided by an embodiment of the present application;
FIG. 4 is a schematic structural view of a device for determining a failure risk component of a hydraulic turbine according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
Features and exemplary embodiments of various aspects of the present application will be described in detail below, and in order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be described in further detail below with reference to the accompanying drawings and the detailed embodiments. It should be understood that the particular embodiments described herein are meant to be illustrative of the application only and not limiting. It will be apparent to one skilled in the art that the present application may be practiced without some of these specific details. The following description of the embodiments is merely intended to provide a better understanding of the application by showing examples of the application.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising … …" does not exclude the presence of other like elements in a process, method, article or apparatus that comprises the element.
The hydraulic turbine is a core device of the hydroelectric power station, and fault diagnosis of the hydraulic turbine is important for operation and management of the power station. Along with the increasing complexity of the structure of the hydroelectric generating set, the increasing degree of automation and the increasing single machine capacity, the higher requirements are put forward on the utilization rate of the generating set equipment, the running efficiency of the water turbine, the safety, the stability and the economy of the generating set. Therefore, the research and optimization of the fault diagnosis of the water turbine are particularly important. However, the related research of the existing water turbine cannot accurately diagnose the parts of the water turbine which possibly fail.
In order to solve the problems in the prior art, the embodiment of the application provides a method, a device, equipment and a storage medium for determining a fault risk component of a water turbine. The method for determining the fault risk component of the water turbine provided by the embodiment of the application is first described below.
Fig. 1 shows a flow chart of a method for determining a failure risk component of a hydraulic turbine according to an embodiment of the present application. As shown in fig. 1, a method for determining a failure risk component of a hydraulic turbine includes the following steps S101 to S103:
s101, under the condition that the water turbine is in an operating state, detecting a first radial deviation value of a first position in the water turbine;
s102, determining a target fault radial deviation value matched with a first radial deviation value in at least one preset fault radial deviation value, wherein each fault radial deviation value is configured to correspond to at least one fault simulation component, and the fault simulation component is as follows: when the first position of the water turbine model is operated under the condition of corresponding fault radial deviation value, the components which are determined to have faults in the water turbine model; the water turbine model is a model corresponding to the water turbine in the virtual environment;
s103, determining the parts matched with at least one target simulated fault part in the water turbine as parts with fault risks, wherein each target simulated fault part is a simulated fault part corresponding to the target fault radial deviation value.
The method for determining the fault risk component of the water turbine can detect the first radial deviation value of the first position in the water turbine under the condition that the water turbine is in the running state; determining a target fault radial deviation value matched with the first radial deviation value in at least one preset fault radial deviation value; the component of the turbine that matches the at least one target simulated faulty component is determined to be the component at risk of failure. Therefore, the embodiment of the application can consider the influence of different radial installation deviations when the water turbine operates, and accurately and quickly diagnose the fault risk component of the water turbine based on the corresponding relation between the fault radial deviation value determined by the simulation operation of the water turbine model and at least one simulation fault component.
In S101, the hydraulic turbine may be a power machine capable of converting energy of water flow into rotational mechanical energy, and belongs to a turbine among fluid machines.
The specification of the water turbine can be a medium-sized and small-sized water turbine or a huge water turbine with millions of kilowatts, and the specification of the huge water turbine is greatly different from that of the medium-sized and small-sized water turbine, so that the application determines the fault risk component of the water turbine through the radial deviation value of the water turbine, and can obtain better effect when applied to the huge water turbine.
The first position of the hydraulic turbine may specifically be a runner of the hydraulic turbine, wherein the runner comprises an upper crown, a vaneless region and a lower ring.
The definition of the radial deviation is the difference between the radius of a certain ring plate of the vertical metal tank and the radius of the base circle, and the radial deviation of the rotating wheel of the water turbine in the direction away from the volute is exemplified.
The detecting the first radial deviation value of the first position in the water turbine may be detecting the radial deviation value of the runner in the water turbine by a deviation measuring instrument.
In S102, the foregoing fault radial deviation value is preset, which may indicate that a faulty component exists in the turbine model when the turbine model is operated in a simulation mode in the case that the rotor of the turbine model has the fault radial deviation value. Thus, each fault radial deviation value may also be configured to correspond to at least one simulated fault component.
The above simulated fault components may be: when the hydraulic turbine model is operated with the first position having the corresponding fault radial deviation value, the hydraulic turbine model is determined to have the faulty component. Since the different components are affected differently by the radial force, the upper crown is most affected by the radial force, while the impeller is least affected and hardly seen, the simulated failure component may be the upper crown, and in this embodiment, not only the upper crown but also other components are not specifically limited herein.
The hydraulic turbine model is a model corresponding to a hydraulic turbine in a virtual environment, and by means of computer aided engineering software, for example, a hydraulic turbine model of a full runner, grid division and a radial deviation part (shown in fig. 2) of the hydraulic turbine model are sequentially established by taking into consideration a rigid shaft, namely, without considering relative movement between the shaft and a rotating wheel, and then the radial deviation part is replaced to a corresponding position to perform radial deviation simulation (shown in fig. 3): and moving the rotating wheel to an eccentric position, and changing the corresponding sizes of the upper crown, the vaneless region and the lower ring according to the data to represent deviation.
The target fault radial deviation value is a fault radial deviation value that matches the first radial deviation value, and may be, for example, a fault radial deviation value that is the same as or similar to the first radial deviation value.
In S103, the target simulated fault component is a simulated fault component corresponding to the target fault radial deviation value. For example, when the target fault radial deviation value is 0.5mm, the corresponding simulated fault component may be the crown; when the radial deviation value of the target fault is 1.5mm, the corresponding simulated fault components can be an upper crown and a lower ring; when the target fault radial deviation value is 2.5mm, the corresponding simulated fault components may be an upper crown, a lower ring and an impeller.
The above-described component of the hydraulic turbine that matches the at least one target simulated fault component is determined to be a component at risk of a fault, and may be, for example, a component of the hydraulic turbine that is identical to the at least one target simulated fault component is determined to be a component at risk of a fault.
As an implementation manner of the present application, to configure each fault radial deviation value with at least one corresponding simulated fault component, before S102, the method may further include:
acquiring a first operation parameter of the water turbine model, wherein the first operation parameter is a parameter when the water turbine model operates under the condition that the first position of the water turbine model does not have a radial deviation value;
acquiring at least one second operation parameter of the water turbine model, wherein the second operation parameter is a parameter when the water turbine model operates under the condition that the first position of the water turbine model has at least one radial deviation value, and different second operation parameters correspond to different radial deviation values;
determining the corresponding relation between each fault radial deviation value and at least one simulated fault component according to the first operating parameter and at least one second operating parameter;
the step S102 may specifically include:
and determining a target fault radial deviation value matched with the first radial deviation value in the preset at least one fault radial deviation value based on the corresponding relation between each fault radial deviation value and the at least one simulated fault component.
The first operation parameter may be a parameter when the first position of the water turbine model is operated without a radial deviation value.
The second operation parameter may be a parameter during operation when the first position of the water turbine model has at least one radial deviation value, and different second operation parameters correspond to different radial deviation values. Illustratively, the at least one radial offset value may be 0.1mm, 0.3mm, 0.5mm, 1.5mm, 2.5mm.
The obtaining the first operation parameter of the water turbine model may be that the water turbine model is simulated and operated by computer aided engineering software, and the operation parameter under the ideal condition of no deviation is calculated. The operating parameters may include pressure, operating efficiency, and flow rate.
The obtaining the at least one second operation parameter of the water turbine model may be that the water turbine model is simulated and operated by the computer aided engineering software, and the operation parameters of the water turbine model under different radial deviations are calculated.
It should be noted that, in order to ensure the beauty and contrast of the calculation flow state, the steady calculation of the rated working condition is performed on the water turbine model. Because under the rated condition, the operation efficiency of the water turbine is higher, the flow is more stable, the data of pressure and streamline are more flow fields, in addition, the vibration signal is purer and has no interference, and the calculation convergence is faster compared with other conditions.
In some embodiments, in order to obtain the operation parameters of the water turbine model that better conform to the actual working conditions, the obtaining the first operation parameters of the water turbine model may specifically include:
setting a wall friction speed value for a second position of the water turbine model;
and operating the water turbine model to obtain a first operating parameter of the water turbine model.
The second location may be a crown inferior surface and a lower ring inferior surface.
The wall friction speed value is simply referred to as the avoidance speed, in the high-Reynolds number movement process, the turbulence model is effective only for the turbulence which is fully developed, and in the near-wall surface, the flow development is insufficient due to the existence of the boundary layer, the turbulence development is insufficient, at the moment, the turbulence model is not applicable in the area, and the near-wall surface flow problem can be solved by adopting the processing method of setting the wall friction speed value at the second position of the water turbine model.
Similarly, the obtaining the at least one second operation parameter of the water turbine model may specifically include: setting the same wall friction speed value for the second position of the water turbine model; the hydraulic turbine model is operated with at least one radial offset value at a first location of the hydraulic turbine model, and at least one second operating parameter of the hydraulic turbine model is obtained.
In this embodiment, by setting the wall friction speed value at the second position of the water turbine model, when the water turbine model is operated in a simulation manner, the first operation parameter of the water turbine model more conforming to the actual working condition is obtained, and the accuracy of determining the correspondence between the fault radial deviation value and at least one simulated fault component can be improved.
In some embodiments, the determining the correspondence between each fault radial deviation value and at least one simulated fault component according to the first operating parameter and the at least one second operating parameter may specifically include:
calculating differences between each component parameter in the at least one second operating parameter and each component parameter in the first operating parameter;
under the condition that the difference value in the second operation parameters is larger than a preset threshold value, determining the radial deviation value corresponding to the second operation parameters as a fault radial deviation value, and determining the part with the difference value larger than the preset threshold value as a simulated fault part corresponding to the fault radial deviation value;
based on each fault radial deviation value and the corresponding at least one simulated fault component, a correspondence of each fault radial deviation value and the at least one simulated fault component is determined.
The first operating parameters include component parameters of the turbine model, and the second operating parameters include component parameters of the turbine model also in the case of at least one radial deviation value at the first location of the turbine model.
The difference between each component parameter in the second operation parameter and each component parameter in the first operation parameter may be an absolute value of the difference between each component parameter in the second operation parameter and each component parameter in the first operation parameter. The components of the turbine model may include a runner (including a crown, vaneless region, and lower ring), a volute, a pressure equalizer, and a draft tube.
Wherein, each component parameter can be the internal circumferential pressure, the distribution of flow and the magnitude and direction of radial force, so as to observe the influence of radial installation deviation, and the influence of different components by the radial force can be found to be different, the influence of the upper crown is the largest, and the impeller is the smallest, and the influence is hardly seen; it has further been found that with increasing deflection the radial force is gradually increasing and the radial force to which the crown is subjected is greatest, whereas with low deflection the impeller is followed by the lower ring, with increasing deflection the force of the lower ring is greater than the impeller; in addition, by comparison, the deviation direction is not coincident with the direction of the high-voltage area, but has a certain deviation, and the deviation direction is the opposite direction of the rotation of the rotating wheel.
The preset thresholds of the corresponding components of the component parameters can be different, so that the accuracy of determining the simulated fault component is improved.
In this embodiment, the fact that the difference value in the second operation parameter is greater than the preset threshold value means that there is a faulty component in the hydraulic turbine model under the radial deviation value, so that the radial deviation value is determined as a faulty radial deviation value, and the component with the difference value greater than the preset threshold value is determined as a simulated fault component, and the corresponding relationship between the faulty radial deviation value and at least one simulated fault component is recorded, so that in actual operation of the hydraulic turbine, the target faulty radial deviation value and the corresponding fault risk component can be accurately determined according to the corresponding relationship between each faulty radial deviation value and at least one simulated fault component.
As another implementation manner of the present application, in order to improve accuracy of the correspondence between each fault radial deviation value and at least one simulated fault component, before determining the correspondence between each fault radial deviation value and at least one simulated fault component according to the first operating parameter and the at least one second operating parameter, the method may further include:
acquiring a standard operation range of the water turbine, wherein the standard operation range is a parameter range when the water turbine is operated under the condition that the first position of the water turbine does not have a radial deviation value;
the determining, according to the first operation parameter and the at least one second operation parameter, a correspondence between each fault radial deviation value and at least one simulated fault component may specifically include:
and under the condition that the first operation parameter meets the standard operation range, determining the corresponding relation between each fault radial deviation value and at least one simulated fault component according to the first operation parameter and at least one second operation parameter.
The standard operating range is a parameter range when the hydraulic turbine is operated under the condition that the first position of the hydraulic turbine does not have a radial deviation value.
The obtaining the standard operating range of the water turbine may be directly obtaining the standard operating range of the water turbine by a manufacturer of the water turbine.
The condition that the first operation parameters meet the standard operation range means that the first operation parameters are trustworthy, so that the water turbine model is reliable and can be used as a reference of each second operation parameter, and the corresponding relation between each fault radial deviation value and at least one simulated fault component is used.
In this embodiment, the reliability verification of the water turbine model is implemented under the condition that the first operating parameter meets the standard operating range, and the corresponding relationship between each fault radial deviation value and at least one simulated fault component is determined according to the first operating parameter and at least one second operating parameter, so that the accuracy of the corresponding relationship between each fault radial deviation value and at least one simulated fault component can be improved.
As another implementation manner of the present application, in order to ensure stable operation of the water turbine, after S101, the method may further include:
in case the first radial deviation value does not match the at least one faulty radial deviation value, a component in the turbine is determined that is not at risk of a fault.
The fact that the first radial deviation value is not matched with at least one fault radial deviation value means that when the first position of the water turbine is operated under the condition that the first radial deviation value exists, no part with fault risk exists in the water turbine, therefore, the water turbine can continue to operate, shutdown maintenance is needed when the radial deviation does not occur, and stable operation of the water turbine is guaranteed.
Based on the method for determining the fault risk component of the water turbine provided by the embodiment, correspondingly, the application further provides a specific implementation mode of the device for determining the fault risk component of the water turbine. Please refer to the following examples.
As shown in fig. 4, the device 400 for determining a fault risk component of a water turbine according to an embodiment of the present application may include the following modules: a detection module 401, a first determination module 402 and a second determination module 403.
A detection module 401, configured to detect a first radial deviation value of a first position in the water turbine when the water turbine is in an operating state;
a first determining module 402, configured to determine, from at least one preset fault radial deviation value, a target fault radial deviation value that matches the first radial deviation value, where each fault radial deviation value is configured to correspond to at least one fault-simulating component, and the fault-simulating component is: when the first position of the water turbine model is operated under the condition of corresponding fault radial deviation value, the components which are determined to have faults in the water turbine model; the water turbine model is a model corresponding to the water turbine in the virtual environment;
a second determining module 403, configured to determine, as a component having a fault risk, a component matching at least one target simulated fault component in the hydraulic turbine, where each target simulated fault component is a simulated fault component corresponding to a target fault radial deviation value.
The determining device for the fault risk component of the water turbine can detect the first radial deviation value of the first position in the water turbine under the condition that the water turbine is in the running state; determining a target fault radial deviation value matched with the first radial deviation value in at least one preset fault radial deviation value; the component of the turbine that matches the at least one target simulated faulty component is determined to be the component at risk of failure. Therefore, the embodiment of the application can consider the influence of different radial installation deviations when the water turbine operates, and accurately and quickly diagnose the fault risk component of the water turbine based on the corresponding relation between the fault radial deviation value determined by the simulation operation of the water turbine model and at least one simulation fault component.
As an implementation manner of the present application, in order to configure at least one corresponding simulated fault component for each fault radial deviation value, the apparatus 400 may further include:
the first acquisition module is used for acquiring a first operation parameter of the water turbine model, wherein the first operation parameter is a parameter when the first position of the water turbine model operates without a radial deviation value;
the second acquisition module is used for acquiring at least one second operation parameter of the water turbine model, wherein the second operation parameter is a parameter when the water turbine model operates under the condition that the first position of the water turbine model has at least one radial deviation value, and different second operation parameters correspond to different radial deviation values;
the third determining module is used for determining the corresponding relation between each fault radial deviation value and at least one simulated fault component according to the first operating parameter and at least one second operating parameter;
the first determining module 402 is specifically configured to determine, based on a correspondence between each fault radial deviation value and at least one simulated fault component, a target fault radial deviation value that matches the first radial deviation value among at least one preset fault radial deviation value.
In some embodiments, the third determining module may specifically include:
a calculating unit for calculating a difference between each component parameter in the at least one second operating parameter and each component parameter in the first operating parameter;
the first determining unit is used for determining a radial deviation value corresponding to the second operation parameter as a fault radial deviation value and determining a component with the difference value larger than a preset threshold value as a simulated fault component corresponding to the fault radial deviation value under the condition that the difference value in the second operation parameter is larger than the preset threshold value;
and the second determining unit is used for determining the corresponding relation between each fault radial deviation value and at least one simulated fault component based on each fault radial deviation value and the corresponding at least one simulated fault component.
In some embodiments, the first obtaining module may specifically include:
the setting unit is used for setting a wall friction speed value for the second position of the water turbine model;
and the acquisition unit is used for operating the water turbine model and acquiring a first operation parameter of the water turbine model.
As another implementation manner of the present application, in order to improve accuracy of the correspondence between each fault radial deviation value and at least one simulated fault component, the apparatus 400 may further include:
the third acquisition module is used for acquiring a standard operation range of the water turbine, wherein the standard operation range is a parameter range when the water turbine is operated under the condition that the first position of the water turbine does not have a radial deviation value;
the third determining module is specifically configured to determine, according to the first operating parameter and the at least one second operating parameter, a correspondence between each fault radial deviation value and at least one simulated fault component when the first operating parameter meets the standard operating range.
As another implementation manner of the present application, in order to ensure stable operation of the water turbine, the apparatus 400 may further include:
and a fourth determining module for determining that there is no component at risk of failure in the turbine if the first radial deviation value does not match the at least one failed radial deviation value.
Based on the determination device of the failure risk component of the water turbine provided by the embodiment, correspondingly, the application further provides a specific implementation mode of the electronic equipment. Please refer to the following examples.
Fig. 5 shows a schematic hardware structure of an electronic device according to an embodiment of the present application.
A processor 501 and a memory 502 storing computer program instructions may be included in an electronic device.
In particular, the processor 501 may include a Central Processing Unit (CPU), or an application specific integrated circuit (Application Specific Integrated Circuit, ASIC), or may be configured as one or more integrated circuits that implement embodiments of the present application.
Memory 502 may include mass storage for data or instructions. By way of example, and not limitation, memory 502 may comprise a Hard Disk Drive (HDD), floppy Disk Drive, flash memory, optical Disk, magneto-optical Disk, magnetic tape, or universal serial bus (Universal Serial Bus, USB) Drive, or a combination of two or more of the foregoing. Memory 502 may include removable or non-removable (or fixed) media, where appropriate. Memory 502 may be internal or external to the integrated gateway disaster recovery device, where appropriate. In a particular embodiment, the memory 502 is a non-volatile solid state memory.
In particular embodiments, memory 502 may include Read Only Memory (ROM), random Access Memory (RAM), magnetic disk storage media devices, optical storage media devices, flash memory devices, electrical, optical, or other physical/tangible memory storage devices. Thus, in general, the memory includes one or more tangible (non-transitory) computer-readable storage media (e.g., memory devices) encoded with software comprising computer-executable instructions and when the software is executed (e.g., by one or more processors) it is operable to perform the operations described with reference to methods in accordance with aspects of the present disclosure.
The processor 501 reads and executes the computer program instructions stored in the memory 502 to implement the method for determining the fault risk components of any one of the hydraulic turbines in the above embodiments.
In one example, the electronic device may also include a communication interface 503 and a bus 510. As shown in fig. 5, the processor 501, the memory 502, and the communication interface 503 are connected to each other by a bus 510 and perform communication with each other.
The communication interface 503 is mainly used to implement communication between each module, apparatus, unit and/or device in the embodiments of the present application.
Bus 510 includes hardware, software, or both that couple components of the electronic device to one another. By way of example, and not limitation, the buses may include an Accelerated Graphics Port (AGP) or other graphics bus, an Enhanced Industry Standard Architecture (EISA) bus, a Front Side Bus (FSB), a HyperTransport (HT) interconnect, an Industry Standard Architecture (ISA) bus, an infiniband interconnect, a Low Pin Count (LPC) bus, a memory bus, a micro channel architecture (MCa) bus, a Peripheral Component Interconnect (PCI) bus, a PCI-Express (PCI-X) bus, a Serial Advanced Technology Attachment (SATA) bus, a video electronics standards association local (VLB) bus, or other suitable bus, or a combination of two or more of the above. Bus 510 may include one or more buses, where appropriate. Although embodiments of the application have been described and illustrated with respect to a particular bus, the application contemplates any suitable bus or interconnect.
The electronic device can execute the method for determining the fault risk component of the water turbine in the embodiment of the application, so that the method and the device for determining the fault risk component of the water turbine described in connection with fig. 1 and 4 are realized.
In addition, in combination with the method for determining the failure risk component of the hydraulic turbine in the above embodiment, the embodiment of the present application may be implemented by providing a computer readable storage medium. The computer readable storage medium has stored thereon computer program instructions; the computer program instructions, when executed by the processor, implement a method of determining a failure risk component of any of the hydraulic turbines of the above embodiments.
It should be understood that the application is not limited to the particular arrangements and instrumentality described above and shown in the drawings. For the sake of brevity, a detailed description of known methods is omitted here. In the above embodiments, several specific steps are described and shown as examples. However, the method processes of the present application are not limited to the specific steps described and shown, and those skilled in the art can make various changes, modifications and additions, or change the order between steps, after appreciating the spirit of the present application.
The functional blocks shown in the above-described structural block diagrams may be implemented in hardware, software, firmware, or a combination thereof. When implemented in hardware, it may be, for example, an electronic circuit, an Application Specific Integrated Circuit (ASIC), suitable firmware, a plug-in, a function card, or the like. When implemented in software, the elements of the application are the programs or code segments used to perform the required tasks. The program or code segments may be stored in a machine readable medium or transmitted over transmission media or communication links by a data signal carried in a carrier wave. A "machine-readable medium" may include any medium that can store or transfer information. Examples of machine-readable media include electronic circuitry, semiconductor memory devices, ROM, flash memory, erasable ROM (EROM), floppy disks, CD-ROMs, optical disks, hard disks, fiber optic media, radio Frequency (RF) links, and the like. The code segments may be downloaded via computer networks such as the internet, intranets, etc.
It should also be noted that the exemplary embodiments mentioned in this disclosure describe some methods or systems based on a series of steps or devices. However, the present application is not limited to the order of the above-described steps, that is, the steps may be performed in the order mentioned in the embodiments, or may be performed in a different order from the order in the embodiments, or several steps may be performed simultaneously.
Aspects of the present disclosure are described above with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the disclosure. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, enable the implementation of the functions/acts specified in the flowchart and/or block diagram block or blocks. Such a processor may be, but is not limited to being, a general purpose processor, a special purpose processor, an application specific processor, or a field programmable logic circuit. It will also be understood that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware which performs the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In the foregoing, only the specific embodiments of the present application are described, and it will be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the systems, modules and units described above may refer to the corresponding processes in the foregoing method embodiments, which are not repeated herein. It should be understood that the scope of the present application is not limited thereto, and any equivalent modifications or substitutions can be easily made by those skilled in the art within the technical scope of the present application, and they should be included in the scope of the present application.
Claims (10)
1. A method of determining a failure risk component of a hydraulic turbine, comprising:
detecting a first radial deviation value of a first position in the water turbine under the condition that the water turbine is in an operating state;
determining a target fault radial deviation value matched with the first radial deviation value in at least one preset fault radial deviation value, wherein each fault radial deviation value is configured to correspond to at least one simulated fault component, and the simulated fault component is: when the hydraulic turbine model operates under the condition that the first target position of the hydraulic turbine model has a corresponding fault radial deviation value, determining a part with a fault in the hydraulic turbine model; the water turbine model is a model corresponding to the water turbine in a virtual environment;
and determining the parts matched with at least one target simulated fault part in the water turbine as parts with fault risks, wherein each target simulated fault part is a simulated fault part corresponding to the target fault radial deviation value.
2. The method of claim 1, further comprising, prior to said determining a target fault radial deviation value that matches said first radial deviation value among said at least one fault radial deviation value that is preset:
acquiring a first operation parameter of the water turbine model, wherein the first operation parameter is a parameter when the first position of the water turbine model operates without a radial deviation value;
acquiring at least one second operation parameter of the water turbine model, wherein the second operation parameter is a parameter when the water turbine model operates under the condition that the first position of the water turbine model has at least one radial deviation value, and different second operation parameters correspond to different radial deviation values;
determining a correspondence of each of the fault radial deviation values to at least one of the simulated fault components based on the first operating parameter and at least one of the second operating parameters;
the determining, among the preset at least one fault radial deviation value, a target fault radial deviation value matched with the first radial deviation value includes:
and determining a target fault radial deviation value matched with the first radial deviation value in the preset at least one fault radial deviation value based on the corresponding relation between each fault radial deviation value and at least one simulated fault component.
3. The method of claim 2, wherein said determining a correspondence of each of said fault radial offset values to at least one of said simulated fault components based on said first operating parameter and at least one of said second operating parameters comprises:
calculating the difference value between each component parameter in at least one second operation parameter and each component parameter in the first operation parameter;
when the difference value in the second operation parameters is larger than a preset threshold value, determining the radial deviation value corresponding to the second operation parameters as the fault radial deviation value, and determining a part with the difference value larger than the preset threshold value as the simulated fault part corresponding to the fault radial deviation value;
and determining the corresponding relation between each fault radial deviation value and at least one simulated fault component based on each fault radial deviation value and at least one corresponding simulated fault component.
4. The method of claim 2, wherein the obtaining the first operating parameter of the turbine model comprises:
setting a wall friction speed value for a second position of the water turbine model;
and operating the water turbine model to obtain a first operation parameter of the water turbine model.
5. The method of claim 2, further comprising, prior to said determining a correspondence of each of said fault radial offset values to at least one of said simulated fault components based on said first operating parameter and at least one of said second operating parameters:
acquiring a standard operation range of the water turbine, wherein the standard operation range is a parameter range when the water turbine is operated under the condition that the first position of the water turbine does not have a radial deviation value;
the determining, according to the first operating parameter and at least one second operating parameter, a correspondence between each fault radial deviation value and at least one simulated fault component includes:
and under the condition that the first operation parameters meet the standard operation range, determining the corresponding relation between each fault radial deviation value and at least one simulated fault component according to the first operation parameters and at least one second operation parameter.
6. A device for determining a risk of failure component of a hydraulic turbine, said device comprising:
the detection module is used for detecting a first radial deviation value of a first position in the water turbine under the condition that the water turbine is in an operating state;
a first determining module, configured to determine, from at least one preset fault radial deviation value, a target fault radial deviation value that matches the first radial deviation value, where each fault radial deviation value is configured to correspond to at least one simulated fault component, and the simulated fault component is: when the hydraulic turbine model operates under the condition that the first position of the hydraulic turbine model has a corresponding fault radial deviation value, the hydraulic turbine model is determined to be a fault component; the water turbine model is a model corresponding to the water turbine in a virtual environment;
and the second determining module is used for determining the parts matched with at least one target simulated fault part in the water turbine as parts with fault risks, and each target simulated fault part is a simulated fault part corresponding to the target fault radial deviation value.
7. The apparatus of claim 6, wherein the apparatus further comprises:
the first acquisition module is used for acquiring first operation parameters of the water turbine model, wherein the first operation parameters are parameters when the first position of the water turbine model does not have a radial deviation value;
the second acquisition module is used for acquiring at least one second operation parameter of the water turbine model, wherein the second operation parameter is a parameter when the water turbine model is operated under the condition that the first position of the water turbine model has at least one radial deviation value, and different second operation parameters correspond to different radial deviation values;
a third determining module, configured to determine, according to the first operating parameter and at least one of the second operating parameters, a correspondence between each of the fault radial deviation values and at least one of the simulated fault components;
the first determining module is specifically configured to determine, based on a correspondence between each fault radial deviation value and at least one simulated fault component, a target fault radial deviation value that matches the first radial deviation value, from among preset at least one fault radial deviation value.
8. The apparatus of claim 7, wherein the third determination module comprises:
a calculating unit, configured to calculate a difference between each component parameter in at least one of the second operation parameters and each component parameter in the first operation parameters;
a first determining unit, configured to determine, when the difference value in the second operating parameter is greater than a preset threshold value, the radial deviation value corresponding to the second operating parameter as the fault radial deviation value, and determine, as the simulated fault component corresponding to the fault radial deviation value, a component of the difference value greater than the preset threshold value;
and a second determining unit configured to determine a correspondence relationship between each of the fault radial deviation values and at least one of the simulated fault components based on each of the fault radial deviation values and the corresponding at least one of the simulated fault components.
9. An electronic device, the device comprising: a processor and a memory storing computer program instructions; the processor, when executing the computer program instructions, implements a method for determining a target component of a hydraulic turbine according to any one of claims 1-5.
10. A computer readable storage medium, characterized in that the computer readable storage medium has stored thereon computer program instructions which, when executed by a processor, implement a method of determining a target component of a hydraulic turbine according to any one of claims 1-5.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310604992.8A CN116662051A (en) | 2023-05-24 | 2023-05-24 | Method and device for determining fault risk component of water turbine |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310604992.8A CN116662051A (en) | 2023-05-24 | 2023-05-24 | Method and device for determining fault risk component of water turbine |
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| CN202310604992.8A Pending CN116662051A (en) | 2023-05-24 | 2023-05-24 | Method and device for determining fault risk component of water turbine |
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