Water turbine maintenance evaluation method, device and equipment based on RCM, storage medium and computer program product

Abstract

The invention provides a water turbine maintenance evaluation method, device and equipment based on an RCM, a storage medium and a computer program product, and relates to the technical field of water turbine maintenance. The water turbine maintenance evaluation method based on the RCM comprises the steps that the corresponding main shaft temperature, the real-time rotating speed and the real-time amplitude value when a water turbine works are collected; according to the method, whether cavitation, overspeed, crack generation and the like exist in the current working state of the water turbine can be evaluated, and different fault levels are divided, so that the current fault level can be compared with a preset fault level comparison table; according to the method, the corresponding maintenance cycle time between every maintenance of the water turbine and the maintenance necessity of whether maintenance needs to be carried out or not are estimated, so that workers can carry out early warning on possible faults of the water turbine in advance and carry out maintenance in advance, fault risk expansion can be prevented in time, and the maintenance cost is reduced.

Description

Technical Field

[0001] The present application relates to the technical field of water turbine maintenance, and in particular to a water turbine maintenance assessment method, device, equipment, storage medium and computer program product based on RCM. Background Art

[0002] In the prior art, the turbine is one of the core technologies of a hydropower station. It mainly converts the mechanical energy generated by the water flow discharged from the upstream to the downstream of the reservoir into electrical energy, thereby supplying power to the surrounding areas. The stable operation of the turbine needs to be ensured to ensure stable power supply to the surrounding areas, so the turbine needs to be regularly inspected and maintained. However, in different time periods, the turbine has different working states, and the corresponding failure risks are constantly changing. The time intervals for maintenance are long and short, so it is difficult to ensure the working stability of the turbine through regular maintenance. In addition, being at a certain failure risk for a long time will make sudden failures more serious, resulting in higher maintenance costs. Summary of the invention

[0003] The main purpose of this application is to provide a turbine maintenance assessment method, device, equipment, storage medium and computer program product based on RCM, aiming to solve the technical problem of how to more intelligently assess the fault level of a turbine to reduce maintenance costs.

[0004] To achieve the above object, the present application provides a hydraulic turbine maintenance assessment method based on RCM, the steps of the hydraulic turbine maintenance assessment method based on RCM comprising:

[0005] Obtain the main shaft temperature, real-time speed and real-time amplitude value of the turbine;

[0006] Determining a current fault level of the turbine based on the main shaft temperature, the real-time rotation speed, and the real-time amplitude value;

[0007] Based on a preset fault level comparison table and the fault level, the maintenance cycle time and maintenance necessity of the turbine are obtained.

[0008] In one embodiment, the step of determining the current fault level of the turbine based on the main shaft temperature, the real-time rotation speed and the real-time amplitude value comprises:

[0009] Based on the speed interval in which the real-time speed is located, obtaining a reference amplitude value corresponding to the current speed interval;

[0010] Based on the reference amplitude value and the real-time amplitude value, obtaining a resonance correlation coefficient;

[0011] The fault level is determined based on the resonance correlation coefficient, the real-time rotation speed, and the spindle temperature.

[0012] In one embodiment, the step of determining the fault level based on the resonance correlation coefficient, the real-time rotation speed and the spindle temperature includes:

[0013] Based on the speed interval in which the real-time speed is located, obtaining a reference temperature corresponding to the current speed interval;

[0014] Based on the spindle temperature and the reference temperature, obtaining a corresponding temperature difference ratio;

[0015] The fault level is determined based on the temperature difference proportion coefficient and the resonance correlation coefficient.

[0016] In one embodiment, after the step of obtaining the maintenance cycle time and the necessity of maintenance of the turbine based on the preset fault level comparison table and the fault level, the method further includes:

[0017] Based on the currently corresponding maintenance cycle time and the maintenance necessity, the corresponding safety inspection time is obtained, and the staff is prompted to perform inspection at the safety inspection time.

[0018] In one embodiment, after the step of obtaining the main shaft temperature, real-time speed and real-time amplitude value of the turbine, the method further includes:

[0019] When the main shaft temperature is higher than the maximum allowable temperature, or the real-time rotation speed is greater than the rated rotation speed of the turbine, or the real-time amplitude value exceeds the maximum allowable amplitude value, the turbine is stopped immediately.

[0020] In one embodiment, after the step of immediately stopping the operation of the turbine when the temperature of the main shaft is higher than the maximum allowable temperature, or the real-time speed is greater than the rated speed of the turbine, or the real-time amplitude value exceeds the maximum allowable amplitude value, the method further includes:

[0021] When the turbine is stopped, the maintenance cycle time is set to the shortest maintenance cycle time, the maintenance necessity is set to the highest maintenance necessity, and a corresponding alarm message is sent to remind the staff that the turbine needs to be urgently repaired.

[0022] In addition, to achieve the above-mentioned purpose, the present application also provides a RCM-based water turbine maintenance assessment device, the RCM-based water turbine maintenance assessment device comprising:

[0023] Parameter acquisition module, used to obtain the main shaft temperature, real-time speed and real-time amplitude value of the turbine;

[0024] A fault level classification module, used to determine the current fault level of the turbine based on the spindle temperature, the real-time rotation speed and the real-time amplitude value;

[0025] The maintenance assessment module is used to obtain the maintenance cycle time and maintenance necessity of the turbine based on a preset fault level comparison table and the fault level.

[0026] In addition, to achieve the above-mentioned objectives, the present application also provides an RCM-based turbine maintenance assessment device, the RCM-based turbine maintenance assessment device comprising: a memory, a processor, and an RCM-based turbine maintenance assessment program stored on the memory and executable on the processor, the RCM-based turbine maintenance assessment program being configured to implement the steps of the RCM-based turbine maintenance assessment method as described above.

[0027] In addition, to achieve the above-mentioned purpose, the present application also provides a storage medium, which is a computer-readable storage medium, and a RCM-based turbine maintenance assessment program is stored on the computer-readable storage medium. When the RCM-based turbine maintenance assessment program is executed by a processor, the steps of the RCM-based turbine maintenance assessment method described above are implemented.

[0028] In addition, to achieve the above-mentioned purpose, the present application also provides a computer program product, which includes a computer program, and when the computer program is executed by a processor, the steps of the RCM-based turbine maintenance assessment method as described above are implemented.

[0029] The present application provides a method, device, equipment, storage medium and computer program product for evaluating maintenance of a turbine based on RCM. The steps of the method for evaluating maintenance of a turbine based on RCM include: obtaining the main shaft temperature, real-time speed and real-time amplitude value of the turbine; determining the fault level of the turbine based on the main shaft temperature, real-time speed and real-time amplitude value; obtaining the maintenance cycle time and maintenance necessity of the turbine based on a preset fault level comparison table and the fault level. By collecting the main shaft temperature, real-time speed and real-time amplitude value corresponding to the turbine when it is working, it is possible to evaluate whether there are cavitation, overspeed, cracks and the like in the current working state of the turbine, and divide them into different fault levels, so that the maintenance cycle time corresponding to each maintenance of the turbine and the necessity of maintenance can be estimated according to the current fault level and the preset fault level comparison table, so that the staff can give early warning and early maintenance to the faults that may be sent by the turbine, thereby timely preventing the expansion of fault risks and reducing maintenance costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0031] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0032] Figure 1 A flow chart of the first embodiment of the RCM-based turbine maintenance assessment method provided in this application;

[0033] Figure 2 A flow chart of the second embodiment of the RCM-based turbine maintenance assessment method provided in this application;

[0034] Figure 3 A flow chart of the third embodiment of the RCM-based turbine maintenance assessment method of the present application;

[0035] Figure 4 This is a schematic diagram of the module structure of a hydraulic turbine maintenance assessment device based on RCM according to an embodiment of the present application;

[0036] Figure 5 This is a schematic diagram of the structure of a turbine maintenance assessment device based on RCM according to an embodiment of the present application.

[0037] The purpose, features and advantages of this application will be further described in conjunction with the embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0038] It should be understood that the specific embodiments described herein are only used to explain the technical solutions of the present application and are not used to limit the present application.

[0039] In order to better understand the technical solution of the present application, a detailed description will be given below in conjunction with the accompanying drawings and specific implementation methods.

[0040] The main solution of the present application is: by means of various sensors arranged on the turbine or around the turbine, the main shaft temperature, real-time rotation speed and real-time amplitude value of the turbine are respectively collected; based on the main shaft temperature, the real-time rotation speed and the real-time amplitude value, the current fault level of the turbine is determined; based on a pre-set fault level comparison table and the fault level, the maintenance cycle time and the necessity of maintenance of the turbine are obtained.

[0041] At present, the turbine is one of the core technologies of the hydropower station. It mainly converts the mechanical energy generated by the water flow discharged from the upstream to the downstream of the reservoir into electrical energy, thereby supplying power to the surrounding areas. The stable operation of the turbine needs to be ensured to ensure the stable power supply of the surrounding areas, so the turbine needs to be regularly inspected and maintained. However, in different time periods, the turbine has different working conditions, and the corresponding failure risks are constantly changing. The time intervals for maintenance are long and short, so it is difficult to ensure the working stability of the turbine through regular maintenance. In addition, if a certain failure risk is present for a long time, the sudden failure will be more serious, and the cost of maintenance will be higher. Therefore, how to more intelligently evaluate the failure level of the turbine to reduce the maintenance cost is a problem that needs to be solved urgently.

[0042] By collecting the corresponding main shaft temperature, real-time speed and real-time amplitude value when the turbine is working, the present application can evaluate whether there is cavitation, overspeed, cracks and the like in the current working state of the turbine, and divide it into different fault levels, so that the corresponding maintenance cycle time between each maintenance of the turbine and the necessity of maintenance can be estimated according to the current fault level against the pre-set fault level comparison table, so as to facilitate the staff to give early warning of possible faults of the turbine and carry out maintenance in advance, thereby timely preventing the expansion of fault risks and reducing maintenance costs.

[0043] It should be noted that the execution subject of this embodiment can be a water turbine maintenance assessment device based on RCM, or a water turbine maintenance assessment device based on RCM with data processing, network communication and program running functions, etc., and this embodiment does not specifically limit this. The following takes the water turbine maintenance assessment device based on RCM as the execution subject as an example to illustrate this embodiment and the following embodiments.

[0044] Based on this, the present application proposes a first embodiment of a hydraulic turbine maintenance assessment method based on RCM, please refer to Figure 1 The RCM-based turbine maintenance assessment method comprises steps S10-S30:

[0045] Step S10, obtaining the main shaft temperature, real-time speed and real-time amplitude value of the turbine;

[0046] It should be understood that RCM refers to Reliability Centered Maintenance, which is a maintenance strategy aimed at improving system reliability and safety. By analyzing the failure mode and impact of a specific device or equipment, a corresponding preventive maintenance plan can be formulated to reduce unexpected downtime and improve the overall performance of the system. In this embodiment, the RCM thinking can be integrated into the specific application scenario of turbine overhaul or maintenance, and the current working status or fault level of the turbine can be evaluated, so as to achieve early warning of impending failures and formulate a plan for overhaul or maintenance of the turbine in time to avoid sudden failures, thereby achieving the effect of reducing the significant losses caused by the shutdown or damage of the turbine due to sudden failures.

[0047] It should be noted that, in this embodiment, a temperature sensor can be set near the main shaft inside the turbine to collect the temperature near the main shaft, which is used to estimate the probability of steam intrusion in the blades or other areas with high temperature and excessive pressure when the turbine is working. Generally speaking, the higher the main shaft temperature, the higher the water temperature, and the greater the degree of loss caused by cavitation. The real-time speed refers to the number of times the main shaft of the turbine rotates in the current unit time period. Generally, "minutes" are taken as the unit time. The faster the real-time speed, the greater the pressure or impact force received, the greater the wear caused, and the greater the power generation. The real-time amplitude value refers to the amplitude generated by the current turbine when it is performing mechanical movement. It can be collected by a vibration sensor. Generally, the amplitude is related to factors such as the main shaft speed, the shape of the mechanical structure, and the design of the mechanical structure. The larger the real-time amplitude value, the more wear may be caused, affecting the working life of the turbine. The above three parameters are the important parameters used to determine the main fault level or fault risk of the turbine in this embodiment.

[0048] Step S20, determining the current fault level of the turbine based on the spindle temperature, the real-time rotation speed and the real-time amplitude value;

[0049] It is easy to understand that the fault level can also be understood as the fault risk, which is mainly used to evaluate the probability of different faults in the current turbine and the relatively safe time period. Among them, the fault probability can be understood as the probability of a fault occurring while maintaining the current state for a period of time, and the safe time period can be understood as the length of safe time that can be maintained under the current situation with a very small fault probability (close to no fault), and the above-mentioned very small fault probability can be calibrated.

[0050] It is easy to understand that in this embodiment, the main shaft temperature and real-time amplitude value of the turbine should be related to the current real-time speed. If the actual collected main shaft temperature and real-time amplitude value are seriously higher than the theoretical value corresponding to the current collected real-time speed, it means that the current turbine has a fault risk. For example, if the main shaft temperature is too high, it may cause overheating risk and cavitation risk. If the real-time amplitude value is too large, it may cause mechanical wear, metal fatigue and other risks. The real-time speed itself can also be compared with the theoretical rated speed to determine whether there is an overspeed fault risk. Therefore, the fault level of the current turbine can be obtained through the above three parameters.

[0051] Step S30, based on a preset fault level comparison table and the fault level, obtaining a maintenance cycle time and maintenance necessity of the turbine.

[0052] It should be noted that, in this embodiment, each fault level can be divided through a fault level comparison table preset in the work, and the specific division method can be based on two directions: urgency and importance. Urgency refers to the priority of maintenance required if the corresponding fault occurs, and importance refers to the importance of maintenance required if the corresponding fault occurs. For example, the urgency is divided into "A", "B", "C"..., and the importance is divided into "1", "2", "3"..., then the fault level can be "A1", "A3", "B4", "C2" and so on. Among them, "A1" can represent the fault level with the highest priority and the highest importance. The corresponding event can be a situation where the key parts of the turbine are seriously damaged, such as the main shaft is broken, and immediate maintenance is required to allow normal operation.

[0053] It is easy to understand that the priority and importance of the current maintenance or overhaul of the turbine can be determined based on the currently acquired fault level and the fault level comparison table set by the staff. The higher the priority, the shorter the maintenance cycle time corresponding to the next maintenance or overhaul; the lower the priority, the longer the maintenance cycle time corresponding to the next maintenance or overhaul; the higher the importance, the higher the corresponding maintenance necessity; the lower the importance, the lower the corresponding maintenance necessity. After obtaining the maintenance cycle time and maintenance necessity of the corresponding turbine in the above manner, the staff can be automatically and reasonably prompted to perform maintenance or overhaul with the corresponding degree of importance within the corresponding time, replacing the original traditional method of regular maintenance or overhaul, so as to ensure the safety of the turbine more economically and accurately, improve the working stability of the turbine at the lowest cost, and also reduce the work pressure of the staff, and can also greatly reduce the probability of some serious failures that may occur in the future.

[0054] The present application provides a method for evaluating maintenance of a turbine based on RCM, and the steps of the method for evaluating maintenance of a turbine based on RCM include: obtaining the main shaft temperature, real-time speed and real-time amplitude value of the turbine; determining the fault level of the turbine based on the main shaft temperature, real-time speed and real-time amplitude value; obtaining the maintenance cycle time and the necessity of maintenance of the turbine based on the preset fault level comparison table and the fault level. By collecting the main shaft temperature, real-time speed and real-time amplitude value corresponding to the turbine when it is working, it is possible to evaluate whether there are cavitation, overspeed, cracks and the like in the current working state of the turbine, and divide them into different fault levels, so that the maintenance cycle time corresponding to each maintenance of the turbine and the necessity of maintenance can be estimated according to the current fault level and the preset fault level comparison table, so that the staff can give early warning and early maintenance of the faults that may be sent by the turbine, thereby timely preventing the expansion of fault risks and reducing maintenance costs.

[0055] Based on the first embodiment of the present application, in the second embodiment of the present application, the same or similar contents as those in the above-mentioned embodiment 1 can refer to the above introduction, and will not be repeated later. Figure 2 The step of determining the current fault level of the turbine based on the main shaft temperature, the real-time rotation speed and the real-time amplitude value comprises:

[0056] Step S21, based on the speed interval in which the real-time speed is located, obtaining a reference amplitude value corresponding to the current speed interval;

[0057] Step S22, obtaining a resonance correlation coefficient based on the reference amplitude value and the real-time amplitude value;

[0058] It should be noted that the greater the real-time speed of the main shaft, the greater the amplitude, and the higher the degree of wear of the mechanical structure of the turbine. In this embodiment, different real-time speeds will produce different amplitude values, so the range of the main shaft speed can be divided into several speed intervals, and the amplitudes theoretically generated in different speed intervals can be used as the reference amplitude values ​​of each speed interval. In this way, the reference amplitude value corresponding to the speed interval where the current real-time speed is located can be directly obtained based on the current real-time speed and the multiple speed intervals that have been divided in advance.

[0059] It is easy to understand that as the real-time amplitude value of the turbine increases, the resonance phenomenon of the turbine becomes more and more obvious. The speed and amplitude of the turbine main shaft theoretically have a quadratic positive correlation. Therefore, the corresponding resonance correlation coefficient can be obtained by the ratio of the obtained reference amplitude value to the square of the real-time amplitude value to indicate the rationality of the current real-time amplitude value.

[0060] Step S23, determining the fault level based on the resonance correlation coefficient, the real-time rotation speed and the spindle temperature.

[0061] It is easy to understand that in this embodiment, the main risk of turbine failure comes not only from mechanical resonance, but also from overload caused by overspeed operation of the turbine, or from cavitation caused by excessive temperature. Therefore, the failure risk corresponding to the current turbine, that is, the failure level, can be obtained based on the above-mentioned resonance correlation coefficient, real-time speed and main shaft temperature.

[0062] Further, in this embodiment, the step of determining the fault level based on the resonance correlation coefficient, the real-time rotation speed and the spindle temperature includes:

[0063] Step S231, based on the speed interval in which the real-time speed is located, obtaining a reference temperature corresponding to the current speed interval;

[0064] Step S232, based on the spindle temperature and the reference temperature, obtaining a corresponding temperature difference ratio;

[0065] It should be noted that the greater the real-time speed of the main shaft of the turbine, the more heat generated by its mechanical work, and the temperature of the main shaft rises accordingly, which is the main source of the main shaft temperature. In this embodiment, the reference temperature corresponding to the main shaft of the turbine in the current speed range can still be calculated based on the speed range of the real-time speed.

[0066] It is easy to understand that the collected spindle temperature and the calculated reference temperature can be subtracted to obtain the real-time temperature difference, and the ratio of the real-time temperature difference to the reference temperature is used as the temperature difference coefficient to indicate the rationality of the current spindle temperature.

[0067] Step S233: determining the fault level based on the temperature difference proportion coefficient and the resonance correlation coefficient.

[0068] It is easy to understand that the temperature difference ratio and resonance correlation coefficient related to the real-time speed can be used as the basis for judgment, and several fault levels can be planned according to the pre-set judgment rules. And the fault level corresponding to the turbine can be obtained through the currently obtained temperature difference ratio and resonance correlation coefficient.

[0069] Based on the first embodiment and / or the second embodiment of the present application, in the third embodiment of the present application, the same or similar contents as those of the above-mentioned first and second embodiments can refer to the above introduction, and will not be repeated later. Figure 3After the step of obtaining the maintenance cycle time and the necessity of maintenance of the turbine based on the preset fault level comparison table and the fault level, the method further includes:

[0070] Step S40, based on the current corresponding maintenance cycle time and the necessity of maintenance, the corresponding safety inspection time is obtained, and the staff is prompted to perform inspection at the safety inspection time.

[0071] It should be noted that, in this embodiment, the maintenance cycle time can also be understood as the longest time period allowed between the last inspection or maintenance and the next inspection or maintenance that the staff must perform, and the necessity of maintenance can also be understood as the importance of delaying the time as much as possible within the maintenance cycle time without causing a fault to occur or aggravate the fault. The above two parameters can be used to obtain the safe inspection time that can ensure that the current turbine does not fail. Therefore, in the case of multiple turbines, the staff can dynamically sort the time point or time period for the next inspection or maintenance of each turbine according to the obtained maintenance cycle time and maintenance necessity, that is, obtain the safe inspection time, so as to better distribute the workload of the staff.

[0072] Furthermore, in this embodiment, after the step of obtaining the main shaft temperature, real-time speed and real-time amplitude value of the turbine, it also includes:

[0073] Step S50, when the main shaft temperature is higher than the maximum allowable temperature, or the real-time rotation speed is greater than the rated rotation speed of the turbine, or the real-time amplitude value exceeds the maximum allowable amplitude value, immediately stop the turbine.

[0074] It should be noted that in this embodiment, as some special cases, for example, when the main shaft temperature of the turbine is too high, and it is higher than the maximum allowable temperature corresponding to the normal operation of the turbine, if it continues to work, the cavitation phenomenon of the turbine will be seriously aggravated, greatly reducing the service life of the blades. At the same time, due to the excessively high temperature, it may also cause overheating, posing a safety hazard. Therefore, in this case, it is necessary to stop the operation of the turbine immediately; for example, when the real-time speed of the turbine is too large, when the real-time speed of the turbine is greater than the rated speed of the turbine, the centrifugal force of the main shaft will be aggravated due to the excessively high speed, and the real-time amplitude value of the unit will far exceed the prescribed maximum allowable amplitude value. There will be a fierce collision between the rotating part and the fixed part of the turbine, which may cause bearing damage and cracks in important parts in severe cases. At this time, it is also necessary to stop the operation of the turbine immediately; in addition, the real-time amplitude value may also be caused by other reasons, such as deformation of the main shaft, improper installation of the mechanical position, etc. Therefore, even if the real-time speed of the turbine does not exceed the rated speed but the real-time amplitude value still exceeds the prescribed maximum allowable amplitude value, it is also necessary to stop the operation of the turbine immediately.

[0075] Further, in this embodiment, after the step of immediately stopping the operation of the turbine when the temperature of the main shaft is higher than the maximum allowable temperature, or the real-time speed is greater than the rated speed of the turbine, or the real-time amplitude value exceeds the maximum allowable amplitude value, the step further includes:

[0076] Step S60, when the turbine is stopped, the maintenance cycle time is set to the shortest maintenance cycle time, the maintenance necessity is set to the highest maintenance necessity, and a corresponding alarm message is sent to remind the staff that emergency maintenance of the turbine is required.

[0077] It is easy to understand that if a situation similar to the above occurs, the operation of the turbine needs to be suspended immediately, and the maintenance cycle time of the turbine is forcibly modified to the shortest maintenance cycle time, and the maintenance necessity is modified to the highest maintenance necessity, so as to generate a corresponding alarm signal to alarm the staff currently on duty, prompting the staff to immediately perform emergency inspection or emergency maintenance on the turbine to prevent damage to the turbine or prevent more serious damage to the turbine. Among them, the shortest maintenance cycle time can be 0, indicating that it needs to be carried out immediately at the current moment, and the highest maintenance necessity means that the staff needs to pay attention to this inspection or maintenance, and arrange maintenance personnel with higher technical levels to perform this inspection or maintenance as much as possible.

[0078] The present application also provides a RCM-based turbine maintenance assessment device. Figure 4 , the RCM-based turbine maintenance assessment device comprises:

[0079] The parameter acquisition module 10 is used to obtain the main shaft temperature, real-time speed and real-time amplitude value of the turbine;

[0080] A fault level classification module 20, for determining a current fault level of the turbine based on the spindle temperature, the real-time rotation speed and the real-time amplitude value;

[0081] The maintenance assessment module 30 is used to obtain the maintenance cycle time and maintenance necessity of the turbine based on a preset fault level comparison table and the fault level.

[0082] The RCM-based turbine maintenance assessment device provided in the embodiment of the present application adopts the RCM-based turbine maintenance assessment method in the above embodiment, which can solve the technical problem of how to more intelligently assess the fault level of the turbine to reduce the maintenance cost. Compared with the prior art, the beneficial effects of the RCM-based turbine maintenance assessment device provided in the embodiment of the present application are the same as the beneficial effects of the RCM-based turbine maintenance assessment method provided in the above embodiment, and the other technical features of the RCM-based turbine maintenance assessment device are the same as the features disclosed in the above embodiment method, which will not be repeated here.

[0083] The present application provides a RCM-based turbine maintenance assessment device, the RCM-based turbine maintenance assessment device comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the RCM-based turbine maintenance assessment method in the above-mentioned embodiment one.

[0084] Reference below Figure 5 , which shows a schematic diagram of the structure of a RCM-based turbine maintenance assessment device suitable for implementing the embodiment of the present application. The RCM-based turbine maintenance assessment device in the embodiment of the present application may include but is not limited to a vehicle-mounted terminal or other fixed terminal. Figure 5 The RCM-based water turbine maintenance assessment device shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0085] like Figure 5As shown, the RCM-based water turbine maintenance assessment device may include a processing device 1001 (e.g., a central processing unit, a graphics processor, etc.), which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 1002 or a program loaded from a storage device 1003 to a random access memory (RAM) 1004. Various programs and data required for the operation of the RCM-based water turbine maintenance assessment device are also stored in the RAM 1004. The processing device 1001, the ROM 1002, and the RAM 1004 are connected to each other via a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Typically, the following systems may be connected to the I / O interface 1006: an input device 1007 including, for example, a touch screen, a touchpad, a keyboard, a mouse, an image sensor, a microphone, an accelerometer, a gyroscope, etc.; an output device 1008 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; a storage device 1003 including, for example, a magnetic tape, a hard disk, etc.; and a communication device 1009. The communication device 1009 may allow the RCM-based water turbine maintenance assessment device to communicate with other devices wirelessly or by wire to exchange data. Although the RCM-based water turbine maintenance assessment device with various systems is shown in the figure, it should be understood that it is not required to implement or have all the systems shown. More or fewer systems may be implemented or have instead.

[0086] In particular, according to the embodiments disclosed in the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, the embodiments disclosed in the present application include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through a communication device, or installed from a storage device 1003, or installed from a ROM 1002. When the computer program is executed by the processing device 1001, the above-mentioned functions defined in the method of the embodiment disclosed in the present application are executed.

[0087] The RCM-based water turbine maintenance assessment device provided by the present application adopts the RCM-based water turbine maintenance assessment method in the above embodiment, which can solve the technical problem of how to more intelligently assess the fault level of the water turbine to reduce the maintenance cost. Compared with the prior art, the beneficial effects of the RCM-based water turbine maintenance assessment device provided by the present application are the same as the beneficial effects of the RCM-based water turbine maintenance assessment method provided by the above embodiment, and the other technical features of the RCM-based water turbine maintenance assessment device are the same as the features disclosed in the method of the previous embodiment, which will not be repeated here.

[0088] It should be understood that the various parts disclosed in this application can be implemented by hardware, software, firmware or a combination thereof. In the description of the above embodiments, specific features, structures, materials or characteristics can be combined in any one or more embodiments or examples in a suitable manner.

[0089] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0090] The present application provides a computer-readable storage medium having computer-readable program instructions (ie, computer programs) stored thereon, and the computer-readable program instructions are used to execute the RCM-based turbine maintenance assessment method in the above-mentioned embodiment.

[0091] The computer-readable storage medium provided in the present application may be, for example, a USB flash drive, but is not limited to electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, systems or devices, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this embodiment, the computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, system or device. The program code contained on the computer-readable storage medium may be transmitted using any appropriate medium, including but not limited to: wires, optical cables, RF (Radio Frequency), etc., or any suitable combination of the above.

[0092] The computer-readable storage medium may be included in the RCM-based water turbine maintenance assessment device; or may exist independently without being assembled into the RCM-based water turbine maintenance assessment device.

[0093] The computer-readable storage medium carries one or more programs. When the one or more programs are executed by the RCM-based turbine maintenance assessment device, the RCM-based turbine maintenance assessment device: obtains the main shaft temperature, real-time rotation speed and real-time amplitude value of the turbine; determines the current fault level of the turbine based on the main shaft temperature, the real-time rotation speed and the real-time amplitude value; and obtains the maintenance cycle time and maintenance necessity of the turbine based on a preset fault level comparison table and the fault level.

[0094] Computer program code for performing the operations of the present application may be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0095] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present application. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0096] The modules involved in the embodiments described in this application may be implemented by software or hardware, wherein the name of the module does not constitute a limitation on the unit itself in some cases.

[0097] The readable storage medium provided in the present application is a computer-readable storage medium, which stores computer-readable program instructions (i.e., computer programs) for executing the above-mentioned RCM-based water turbine maintenance assessment method, and can solve the technical problem of how to more intelligently assess the fault level of the water turbine to reduce the maintenance cost. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided in the present application are the same as the beneficial effects of the RCM-based water turbine maintenance assessment method provided in the above-mentioned embodiment, and will not be repeated here.

[0098] The present application also provides a computer program product, comprising a computer program, wherein when the computer program is executed by a processor, the steps of the above-mentioned RCM-based turbine maintenance assessment method are implemented.

[0099] The computer program product provided by the present application can solve the technical problem of how to more intelligently evaluate the fault level of a hydraulic turbine to reduce maintenance costs. Compared with the prior art, the beneficial effects of the computer program product provided by the present application are the same as the beneficial effects of the hydraulic turbine maintenance assessment method based on RCM provided by the above embodiment, and will not be described in detail here.

[0100] The above are only preferred embodiments of the present application, and are not intended to limit the patent scope of the present application. Any equivalent structure or equivalent process transformation made using the contents of the present application specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent processing scope of the present application.

Claims

1. A turbine maintenance assessment method based on RCM, characterized in that: The steps of the RCM-based turbine maintenance assessment method include: Obtain the main shaft temperature, real-time speed and real-time amplitude value of the turbine; Determining a current fault level of the turbine based on the main shaft temperature, the real-time rotation speed, and the real-time amplitude value; Based on a preset fault level comparison table and the fault level, the maintenance cycle time and maintenance necessity of the turbine are obtained.

2. The RCM-based turbine maintenance assessment method according to claim 1, characterized in that: The step of determining the current fault level of the turbine based on the main shaft temperature, the real-time rotation speed and the real-time amplitude value comprises: Based on the speed interval in which the real-time speed is located, obtaining a reference amplitude value corresponding to the current speed interval; Based on the reference amplitude value and the real-time amplitude value, obtaining a resonance correlation coefficient; The fault level is determined based on the resonance correlation coefficient, the real-time rotation speed, and the spindle temperature.

3. The RCM-based turbine maintenance assessment method according to claim 2, characterized in that: The step of determining the fault level based on the resonance correlation coefficient, the real-time rotation speed and the spindle temperature comprises: Based on the speed interval in which the real-time speed is located, obtaining a reference temperature corresponding to the current speed interval; Based on the spindle temperature and the reference temperature, obtaining a corresponding temperature difference ratio; The fault level is determined based on the temperature difference proportion coefficient and the resonance correlation coefficient.

4. The RCM-based turbine maintenance assessment method according to claim 1, characterized in that: After the step of obtaining the maintenance cycle time and the necessity of maintenance of the turbine based on the preset fault level comparison table and the fault level, the method further includes: Based on the currently corresponding maintenance cycle time and the maintenance necessity, the corresponding safety inspection time is obtained, and the staff is prompted to perform inspection at the safety inspection time.

5. The RCM-based turbine maintenance assessment method according to claim 1, characterized in that: After the step of obtaining the main shaft temperature, real-time speed and real-time amplitude value of the turbine, the method further includes: When the main shaft temperature is higher than the maximum allowable temperature, or the real-time rotation speed is greater than the rated rotation speed of the turbine, or the real-time amplitude value exceeds the maximum allowable amplitude value, the turbine is stopped immediately.

6. The RCM-based turbine maintenance assessment method according to claim 5, characterized in that: After the step of immediately stopping the operation of the turbine when the temperature of the main shaft is higher than the maximum allowable temperature, or the real-time speed is greater than the rated speed of the turbine, or the real-time amplitude value exceeds the maximum allowable amplitude value, the method further includes: When the turbine is stopped, the maintenance cycle time is set to the shortest maintenance cycle time, the maintenance necessity is set to the highest maintenance necessity, and a corresponding alarm message is sent to remind the staff that the turbine needs to be urgently repaired.

7. A hydraulic turbine maintenance assessment device based on RCM, characterized in that: The RCM-based turbine maintenance assessment device comprises: Parameter acquisition module, used to obtain the main shaft temperature, real-time speed and real-time amplitude value of the turbine; A fault level classification module, used to determine the current fault level of the turbine based on the spindle temperature, the real-time rotation speed and the real-time amplitude value; The maintenance assessment module is used to obtain the maintenance cycle time and maintenance necessity of the turbine based on a preset fault level comparison table and the fault level.

8. A hydraulic turbine maintenance assessment device based on RCM, characterized in that: The RCM-based water turbine maintenance assessment device comprises: a memory, a processor, and an RCM-based water turbine maintenance assessment program stored in the memory and executable on the processor, wherein the RCM-based water turbine maintenance assessment program is configured to implement the steps of the RCM-based water turbine maintenance assessment method as described in any one of claims 1 to 6.

9. A storage medium, characterized in that: The storage medium is a computer-readable storage medium, on which is stored an RCM-based turbine maintenance assessment program, and when the RCM-based turbine maintenance assessment program is executed by a processor, the steps of the RCM-based turbine maintenance assessment method as described in any one of claims 1 to 6 are implemented.

10. A computer program product, characterized in that The computer program product comprises a computer program, and when the computer program is executed by a processor, the steps of the RCM-based water turbine maintenance assessment method according to any one of claims 1 to 6 are implemented.

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