Intelligent monitoring and processing method for water turbine peristalsis

Abstract

A kind of water turbine peristalsis intelligent monitoring and processing method, the method will be applied to intelligent system, system includes intelligent monitoring system, peristalsis intelligent processing system and man-machine interaction system, intelligent monitoring system includes generator set determination subsystem and peristalsis monitoring subsystem, peristalsis intelligent processing system includes first peristalsis processing device and second peristalsis processing device, man-machine interaction system includes alarm subsystem and information interaction subsystem;Generator set determination subsystem first determines the operating state of water turbine generator set, then peristalsis monitoring subsystem again sends the data monitored to peristalsis intelligent processing system, in this process, man-machine interaction system is in information interaction transmission with outside at any time;The present application not only can quickly, accurately find water turbine peristalsis fault, and can eliminate fault in first time, avoid the situation that water-turbine generator cannot start and be connected to network, simultaneously also improve the service life of water-turbine generator.

Description

[0001] This invention is "An intelligent monitoring and processing system for water turbine peristalsis and its operation mode" (application number: The application is a divisional application for "2023100124484; Application date: 2023-01-05". Technical Field

[0002] This invention belongs to the field of intelligent monitoring system technology, and specifically relates to an intelligent monitoring and processing method for water turbine peristalsis. Background Technology

[0003] The term "hydro turbine generator creep" refers to the turbine operating at low speeds, typically below 5% of its rated speed. The root cause of turbine creep is that after the turbine stops, water leaks inside due to improper closure of the guide vanes. As the leakage increases, it causes the turbine to rotate at low speed, resulting in turbine generator creep. Because the turbine rotates at low speeds when creep occurs, it is not easily detected.

[0004] Creep in hydro-generators poses a significant threat to the unit's bearings. For vertical units, creep primarily damages the thrust bearing, while for horizontal units, it harms both the guide bearing and the thrust bearing. Prolonged creep can also lead to accidents such as dry friction and bearing failure. Currently, maintenance personnel install creep detectors on high-head units or units with low rotational inertia that are prone to creep. When creep occurs while the unit is stopped, the detector will issue an alarm and alert staff for timely intervention. While these devices can detect creep faults in a timely manner, they cannot automatically eliminate the problem. For medium- and low-head units, the probability and magnitude of creep are low, sometimes resulting in inaccurate detection by creep detectors and gaps in the detection process. Inspection personnel often overlook such fault points. Summary of the Invention

[0005] In view of the technical problems existing in the background art, the intelligent monitoring and processing method for turbine creep provided by the present invention can not only quickly and accurately detect turbine creep faults, but also eliminate the faults in the first time, avoiding the situation where the turbine generator cannot start and connect to the grid, and also improving the service life of the turbine generator.

[0006] To solve the above-mentioned technical problems, the present invention adopts the following technical solution: A turbine creep intelligent monitoring and processing system is disclosed. The system includes an intelligent monitoring system, a creep intelligent processing system, and a human-machine interaction system. The intelligent monitoring system includes a generator set determination subsystem and a creep monitoring subsystem. The creep intelligent processing system includes a first creep processing device and a second creep processing device. The human-machine interaction system includes an alarm subsystem and an information interaction subsystem. The generator set determination subsystem first determines the operating status of the turbine generator set, and then the creep monitoring subsystem sends the monitored data to the creep intelligent processing system. During this process, the human-machine interaction system continuously exchanges and transmits information with the outside world.

[0007] In the preferred embodiment, the generator set determination subsystem divides the operating status of the turbine generator set into four types: generator set grid-connected operation status, generator set shutdown standby status, generator set maintenance status, and generator set troubleshooting status.

[0008] In the preferred embodiment, the first peristaltic processing device adopts the braking principle and is electrically driven, while the second peristaltic processing device adopts the air damper principle and is pneumatically driven.

[0009] In the preferred embodiment, the peristaltic intelligent processing system includes two start-up modes: start-up of a single peristaltic processing device and start-up of two peristaltic processing devices.

[0010] In the preferred embodiment, the alarm subsystem includes a creep alarm module, an activation alarm module, a continuous warning module, two sets of creep processing alarm modules, and an overtime alarm module.

[0011] In the preferred embodiment, the information interaction subsystem includes a monitoring information display module, a parameter setting module, an alarm display module, an alarm prompt module, and a peristalsis monitoring module.

[0012] An operational mode of a hydraulic turbine creep intelligent monitoring and processing system, comprising the following steps during system operation: Step 1: The intelligent monitoring system is put into operation, and the generator set determination subsystem monitors and determines the operating status of the turbine in real time; Step 2: When creep is detected in the turbine, the creep monitoring subsystem determines the creep status of the turbine and issues corresponding command signals; Step 3: Upon receiving the signal from the peristalsis monitoring subsystem, the peristalsis intelligent processing system immediately controls the peristalsis processing device to be put into use and to perform peristalsis braking processing; Step 4: Once the turbine creeping issue disappears, the intelligent monitoring system is reactivated and continues to monitor the turbine's subsequent operating status.

[0013] In Step 1, when the generator set determination subsystem detects that the turbine generator set is in grid-connected operation or under maintenance, the intelligent monitoring system and intelligent processing system are in the off state; when the generator set determination subsystem detects that the turbine generator set is in standby mode, the intelligent monitoring system and creeping intelligent processing system are in the on state; when the turbine generator set is in troubleshooting mode, the intelligent monitoring system is in the on state and the creeping intelligent processing system is in the off state.

[0014] In Step 3, the creep intelligent treatment system first puts in a creep treatment device and performs creep braking treatment when dealing with creep. Then, the intelligent monitoring system will monitor whether the creep continues to exist. When the intelligent monitoring system detects that the turbine unit is still creeping, it will put in another creep treatment device and continue to perform creep braking treatment until the creep completely disappears.

[0015] This patent can achieve the following beneficial effects: 1. The generator set determination subsystem in this system can determine the operating status of the turbine generator set. When the turbine is in a creeping state, the creeping intelligent processing system can quickly eliminate the fault, thus avoiding losses caused by the turbine set being unable to start. 2. This system uses two sets of peristalsis treatment devices. When one set fails or cannot completely eliminate the fault, the other set can be put into use quickly, ensuring that the system can completely handle peristalsis faults and further avoiding damage to the power generation equipment. 3. This system can monitor the operating status of the turbine generator set in real time, and can effectively avoid accidents caused by abnormal operation of the turbine that prevent normal start-up and grid connection. Attached Figure Description

[0016] The present invention will be further described below with reference to the accompanying drawings and embodiments: Figure 1 This is a structural diagram of the peristaltic intelligent processing system of the present invention; Figure 2 This is a structural diagram of the intelligent monitoring system of the present invention; Figure 3 This is a structural diagram of the human-computer interaction system of the present invention; Figure 4 This is a flowchart illustrating the entire system workflow of the present invention; Figure 5 This is a flowchart of the generator set determination subsystem of the present invention.

[0017] In the diagram: Intelligent monitoring system 1, generator set judgment subsystem 101, creep monitoring subsystem 102, creep intelligent processing system 2, first creep processing device 201, second creep processing device 202, human-machine interaction system 3, alarm subsystem 301, creep alarm module 3011, activation alarm module 3012, continuous warning module 3013, two sets of creep processing alarm modules 3014, timeout alarm module 3015, information interaction subsystem 302, monitoring information display module 3021, parameter setting module 3022, alarm display module 3023, alarm prompt module 3024, creep processing monitoring module 3025. Detailed Implementation

[0018] like Figures 1 to 3 As shown, a turbine creep intelligent monitoring and processing system includes an intelligent monitoring system 1, a creep intelligent processing system 2, and a human-machine interaction system 3. The intelligent monitoring system 1 includes a generator set determination subsystem 101 and a creep monitoring subsystem 102. The creep intelligent processing system 2 includes a first creep processing device 201 and a second creep processing device 202. The human-machine interaction system 3 includes an alarm subsystem 301 and an information interaction subsystem 302. The generator set determination subsystem 101 first determines the operating status of the turbine generator set, and then the creep monitoring subsystem 102 sends the monitored data to the creep intelligent processing system 2. During this process, the human-machine interaction system 3 interacts and transmits information with the outside world at any time.

[0019] Preferred solutions include Figure 5 As shown, the generator set determination subsystem 101 divides the operating status of the hydro turbine generator set into four types: generator set grid-connected operation status, generator set standby status, generator set maintenance status, and generator set troubleshooting status. The generator set determination subsystem 101 mainly uses the generator set outlet circuit breaker for determination. When the circuit breaker is in the closed position, it is the generator set grid-connected operation status; when the circuit breaker is in the open position, it is the generator set standby status. The generator set maintenance status and generator set troubleshooting status are set by the staff in the human-machine interface.

[0020] Preferred solutions include Figure 1 As shown, the first peristalsis treatment device 201 adopts the braking principle and is electrically driven. By arranging multiple brake pads around the outer ring of the rotor, it is driven by a motor. When the control system issues a peristalsis treatment command, the drive motor starts and peristalsis treatment begins. After the peristalsis phenomenon is eliminated, the device operates for a certain time interval, and then the control system issues a command to stop the drive motor and reset the brake pads. The second peristaltic treatment device 202 adopts the principle of an airlock and is pneumatically driven. It uses multiple brakes along the outer ring of the rotor and the power plant's air system as its power source. Alternatively, it can be equipped with an independent air storage device for peristaltic treatment. When the control system issues a peristaltic treatment command, the air system brakes are activated, and peristaltic treatment begins. After the peristaltic phenomenon is eliminated, the device operates for a certain time interval, and then the control system issues a command to stop the air system brakes and reset them.

[0021] Preferred solutions include Figure 4 As shown, the peristaltic intelligent processing system 2 includes two start-up modes: start-up of a single peristaltic processing device and start-up of two peristaltic processing devices. When using a single peristalsis treatment device, the operator determines which device to activate. Once that device is set up, no further setup is required. For example, when the operator selects the first peristalsis treatment device, the system issues a control command to activate that device when the peristalsis monitoring device detects peristalsis. If peristalsis is detected again after it has disappeared, the same device will be activated again. When using two sets of peristalsis treatment devices, first configure them so that when the peristalsis monitoring device detects peristalsis, one peristalsis treatment device is immediately activated. If peristalsis persists after a certain period (which can be set) in one peristalsis treatment device, the other peristalsis treatment device is activated until the peristalsis disappears. When peristalsis is detected again, the second peristalsis treatment device is activated first, similar to alternating activation.

[0022] Preferred solutions include Figure 3 As shown, the alarm subsystem 301 includes a creep alarm module 3011, an activation alarm module 3012, a continuous warning module 3013, two creep processing alarm modules 3014, and an overtime alarm module 3015. The peristalsis alarm module 3011 performs real-time peristalsis monitoring. When peristalsis is detected, an alarm is immediately triggered on the human-machine interface device, and peristalsis is addressed. At this time, the alarm continues, with both voice and message alarms. The message alarm automatically resets after the peristalsis disappears, while the voice alarm requires manual confirmation to be cleared, ensuring that staff can detect peristalsis in a timely manner. After the alarm module 3012 is activated, the alarm device in the human-machine interaction system will immediately sound an alarm to alert the on-duty staff that the creeping process has started. After the staff confirms the alarm, they will monitor the creeping process. If the peristalsis treatment device is put into operation for a certain period of time and the peristalsis still exists, the continuous warning module 3013 of the human-machine interaction device will start to alarm, reminding the staff that the peristalsis still exists. The alarm includes voice alarm and text alarm. The voice alarm needs to be manually confirmed and then cleared, while the text alarm will automatically reset after the peristalsis is cleared. If the peristalsis treatment device fails to resolve the peristalsis issue after being deployed, a second peristalsis treatment device will be deployed after a certain delay (the delay time can be set via the human-machine interface). Upon deployment of the second peristalsis treatment device, the two peristalsis treatment alarm modules 3014 will immediately trigger an alarm. The alarm message indicates that both peristalsis treatment devices are activated simultaneously, accompanied by a voice alarm. The voice alarm requires confirmation from the staff to be cleared, while the alarm message will automatically reset after the peristalsis issue is resolved. When two peristalsis treatment devices are running simultaneously and the peristalsis has not been eliminated after running for an extended period, the timeout alarm module 3015 will issue an alarm, with both voice and text messages, prompting the staff that the peristalsis treatment devices are no longer able to effectively handle the peristalsis and that other operations are required to address it.

[0023] Preferred solutions include Figure 3 As shown, the information interaction subsystem 302 includes a monitoring information display module 3021, a parameter setting module 3022, an alarm display module 3023, an alarm prompt module 3024, and a peristalsis monitoring module 3025; The information display module 3021 can display various monitoring information, creep processing status, generator set speed status, etc. Staff can view various information in the human-machine interaction device to facilitate subsequent work. The parameter setting module 3022 is mainly used to set various operating parameters, such as the real-time monitoring time interval for peristalsis and the peristalsis processing time. The alarm display module 3023 is used to display alarm messages from the peristalsis processing device and prompt staff to handle them promptly. The creep treatment monitoring module 3025 is used to continuously monitor the operation of the turbine. When creep is detected in the generator set, it immediately performs intelligent creep treatment. After a certain time interval, the creep treatment monitoring module 3025 performs real-time creep monitoring again. When the creep disappears, the creep treatment device is withdrawn, and the creep treatment monitoring module 3025 continues to perform real-time monitoring.

[0024] An operational mode of a hydraulic turbine creep intelligent monitoring and processing system, comprising the following steps during system operation: Step 1: The intelligent monitoring system 1 is put into operation, and the generator set judgment subsystem 101 monitors and judges the operating status of the turbine in real time; Step 2: When creep is detected in the turbine, the creep monitoring subsystem 102 determines the creep status of the turbine and issues a corresponding command signal; Step 3: The peristalsis intelligent processing system 2 receives the signal from the peristalsis monitoring subsystem 102 and immediately controls the peristalsis processing device to be put into use and perform peristalsis braking processing; Step 4: Once the turbine creeping issue disappears, the intelligent monitoring system 1 is reactivated and continues to monitor the turbine's subsequent operating status.

[0025] In Step 1, when the generator set determination subsystem 101 detects that the turbine generator set is in grid-connected operation or maintenance status, the intelligent monitoring system 1 and intelligent processing system 2 are in the off state; when the generator set determination subsystem 101 detects that the turbine generator set is in standby shutdown status, the intelligent monitoring system 1 and creeping intelligent processing system 2 are in the on state; when the turbine generator set is in troubleshooting status, the intelligent monitoring system 1 is in the on state and the creeping intelligent processing system 2 is in the off state.

[0026] In Step 3, the creep intelligent processing system 2 first puts in a creep processing device and performs creep braking treatment when processing creep. Then, the intelligent monitoring system 1 will monitor whether creep continues to exist. When the intelligent monitoring system 1 detects that the turbine unit is still creeping, it will put in another creep processing device and continue to perform creep braking treatment until the creep completely disappears.

[0027] The above embodiments are merely preferred technical solutions of the present invention and should not be considered as limitations on the present invention. The various technical features described in the present invention can be combined with each other without conflict. The scope of protection of the present invention should be the technical solution described in the claims, including equivalent substitutions of the technical features described in the claims. That is, equivalent substitutions and improvements within this scope are also within the scope of protection of the present invention.

Claims

1. A method for intelligent monitoring and processing of turbine creep, the method utilizing an intelligent monitoring and processing system for turbine creep, characterized in that: The system includes an intelligent monitoring system (1), a peristaltic intelligent processing system (2), and a human-machine interaction system (3). The intelligent monitoring system (1) includes a generator set determination subsystem (101) and a peristaltic monitoring subsystem (102). The peristaltic intelligent processing system (2) includes a first peristaltic processing device (201) and a second peristaltic processing device (202). The human-machine interaction system (3) includes an alarm subsystem (301) and an information interaction subsystem (302). The generator set determination subsystem (101) first determines the operating status of the turbine generator set, and then the peristaltic monitoring subsystem (102) sends the monitored data to the peristaltic intelligent processing system (2). During this process, the human-machine interaction system (3) exchanges and transmits information with the outside world at any time. A method for intelligent monitoring and handling of turbine creep, comprising the following steps: Step 1: The intelligent monitoring system (1) is put into operation, and the generator set judgment subsystem (101) monitors and judges the operating status of the turbine in real time; Step 2: When the turbine is found to be creeping, the creep monitoring subsystem (102) judges the creeping situation of the turbine and issues a corresponding command signal; Step 3: The peristalsis intelligent processing system (2) receives the signal from the peristalsis monitoring subsystem (102) and immediately controls the peristalsis processing device to be put into use and perform peristalsis braking processing; Step 4: Once the turbine creeping condition disappears, the intelligent monitoring system (1) is reactivated and continuously monitors the turbine's subsequent operating status. The generator set determination subsystem (101) divides the operating status of the turbine generator set into four types: generator set grid-connected operation status, generator set shutdown standby status, generator set maintenance status, and generator set troubleshooting status. In Step 1, when the generator set determination subsystem (101) finds that the turbine generator set is in grid-connected operation or maintenance status, the intelligent monitoring system (1) and intelligent processing system (2) are in the off state; when the generator set determination subsystem (101) finds that the turbine generator set is in standby shutdown status, the intelligent monitoring system (1) and creeping intelligent processing system (2) are in the on state; when the turbine generator set is in troubleshooting status, the intelligent monitoring system (1) is in the on state and the creeping intelligent processing system (2) is in the off state. In Step 3, the creep intelligent processing system (2) first puts in a creep processing device and performs creep braking processing when processing creep. Then the intelligent monitoring system (1) will monitor whether creep continues to exist. When the intelligent monitoring system (1) detects that the turbine unit still has creep, it will put in another creep processing device and continue to perform creep braking processing until the creep completely disappears.

2. The intelligent monitoring and processing method for turbine creep according to claim 1, characterized in that: The first peristaltic processing device (201) adopts the braking principle and is electrically driven, while the second peristaltic processing device (202) adopts the air damper principle and is pneumatically driven.

3. The intelligent monitoring and processing method for turbine creep according to claim 1, characterized in that: The alarm subsystem (301) includes a creep alarm module (3011), an activation alarm module (3012), a continuous warning module (3013), two creep processing alarm modules (3014), and an overtime alarm module (3015).

4. The intelligent monitoring and processing method for turbine creep according to claim 1, characterized in that: The information interaction subsystem (302) includes a monitoring information display module (3021), a parameter setting module (3022), an alarm display module (3023), an alarm prompt module (3024), and a peristalsis monitoring module (3025).

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