CN111828103A - Method for online distinguishing flutter region of deep peak regulation operation blade of steam turbine - Google Patents
Method for online distinguishing flutter region of deep peak regulation operation blade of steam turbine Download PDFInfo
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F01—MACHINES OR ENGINES IN GENERAL; ENGINE PLANTS IN GENERAL; STEAM ENGINES
- F01D—NON-POSITIVE DISPLACEMENT MACHINES OR ENGINES, e.g. STEAM TURBINES
- F01D21/00—Shutting-down of machines or engines, e.g. in emergency; Regulating, controlling, or safety means not otherwise provided for
- F01D21/003—Arrangements for testing or measuring
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B7/00—Measuring arrangements characterised by the use of electric or magnetic techniques
- G01B7/14—Measuring arrangements characterised by the use of electric or magnetic techniques for measuring distance or clearance between spaced objects or spaced apertures
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01K—MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
- G01K7/00—Measuring temperature based on the use of electric or magnetic elements directly sensitive to heat ; Power supply therefor, e.g. using thermoelectric elements
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01L—MEASURING FORCE, STRESS, TORQUE, WORK, MECHANICAL POWER, MECHANICAL EFFICIENCY, OR FLUID PRESSURE
- G01L9/00—Measuring steady of quasi-steady pressure of fluid or fluent solid material by electric or magnetic pressure-sensitive elements; Transmitting or indicating the displacement of mechanical pressure-sensitive elements, used to measure the steady or quasi-steady pressure of a fluid or fluent solid material, by electric or magnetic means
- G01L9/02—Measuring steady of quasi-steady pressure of fluid or fluent solid material by electric or magnetic pressure-sensitive elements; Transmitting or indicating the displacement of mechanical pressure-sensitive elements, used to measure the steady or quasi-steady pressure of a fluid or fluent solid material, by electric or magnetic means by making use of variations in ohmic resistance, e.g. of potentiometers, electric circuits therefor, e.g. bridges, amplifiers or signal conditioning
- G01L9/04—Measuring steady of quasi-steady pressure of fluid or fluent solid material by electric or magnetic pressure-sensitive elements; Transmitting or indicating the displacement of mechanical pressure-sensitive elements, used to measure the steady or quasi-steady pressure of a fluid or fluent solid material, by electric or magnetic means by making use of variations in ohmic resistance, e.g. of potentiometers, electric circuits therefor, e.g. bridges, amplifiers or signal conditioning of resistance-strain gauges
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01L—MEASURING FORCE, STRESS, TORQUE, WORK, MECHANICAL POWER, MECHANICAL EFFICIENCY, OR FLUID PRESSURE
- G01L9/00—Measuring steady of quasi-steady pressure of fluid or fluent solid material by electric or magnetic pressure-sensitive elements; Transmitting or indicating the displacement of mechanical pressure-sensitive elements, used to measure the steady or quasi-steady pressure of a fluid or fluent solid material, by electric or magnetic means
- G01L9/02—Measuring steady of quasi-steady pressure of fluid or fluent solid material by electric or magnetic pressure-sensitive elements; Transmitting or indicating the displacement of mechanical pressure-sensitive elements, used to measure the steady or quasi-steady pressure of a fluid or fluent solid material, by electric or magnetic means by making use of variations in ohmic resistance, e.g. of potentiometers, electric circuits therefor, e.g. bridges, amplifiers or signal conditioning
- G01L9/06—Measuring steady of quasi-steady pressure of fluid or fluent solid material by electric or magnetic pressure-sensitive elements; Transmitting or indicating the displacement of mechanical pressure-sensitive elements, used to measure the steady or quasi-steady pressure of a fluid or fluent solid material, by electric or magnetic means by making use of variations in ohmic resistance, e.g. of potentiometers, electric circuits therefor, e.g. bridges, amplifiers or signal conditioning of piezo-resistive devices
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01L—MEASURING FORCE, STRESS, TORQUE, WORK, MECHANICAL POWER, MECHANICAL EFFICIENCY, OR FLUID PRESSURE
- G01L9/00—Measuring steady of quasi-steady pressure of fluid or fluent solid material by electric or magnetic pressure-sensitive elements; Transmitting or indicating the displacement of mechanical pressure-sensitive elements, used to measure the steady or quasi-steady pressure of a fluid or fluent solid material, by electric or magnetic means
- G01L9/08—Measuring steady of quasi-steady pressure of fluid or fluent solid material by electric or magnetic pressure-sensitive elements; Transmitting or indicating the displacement of mechanical pressure-sensitive elements, used to measure the steady or quasi-steady pressure of a fluid or fluent solid material, by electric or magnetic means by making use of piezoelectric devices, i.e. electric circuits therefor
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01P—MEASURING LINEAR OR ANGULAR SPEED, ACCELERATION, DECELERATION, OR SHOCK; INDICATING PRESENCE, ABSENCE, OR DIRECTION, OF MOVEMENT
- G01P13/00—Indicating or recording presence, absence, or direction, of movement
- G01P13/02—Indicating direction only, e.g. by weather vane
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01P—MEASURING LINEAR OR ANGULAR SPEED, ACCELERATION, DECELERATION, OR SHOCK; INDICATING PRESENCE, ABSENCE, OR DIRECTION, OF MOVEMENT
- G01P5/00—Measuring speed of fluids, e.g. of air stream; Measuring speed of bodies relative to fluids, e.g. of ship, of aircraft
- G01P5/24—Measuring speed of fluids, e.g. of air stream; Measuring speed of bodies relative to fluids, e.g. of ship, of aircraft by measuring the direct influence of the streaming fluid on the properties of a detecting acoustical wave
- G01P5/241—Measuring speed of fluids, e.g. of air stream; Measuring speed of bodies relative to fluids, e.g. of ship, of aircraft by measuring the direct influence of the streaming fluid on the properties of a detecting acoustical wave by using reflection of acoustical waves, i.e. Doppler-effect
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Abstract
The invention discloses an online discrimination method for a flutter region of a turbine deep peak-shaving operation blade, which is used for carrying out blade surface differential pressure values, monitoring the flow velocity and the airflow angle value of the front edge of a movable blade, monitoring and calculating the temperature value of a highest temperature region, monitoring the pressure differential value of the front and the rear of a last-stage blade grid, and comparing all results with a comprehensive flutter region boundary threshold value to obtain a final discrimination result.
Description
Technical Field
The invention belongs to the field of turbine power generation, and particularly relates to an online judging method for a flutter region of a turbine deep peak shaving operation blade.
Background
In recent years, with continuous and rapid increase of the installed capacity of new energy electric power such as wind power, photovoltaic and hydropower in China, in order to solve the problem of new energy consumption, a thermal power steam turbine unit operates in a deep peak regulation working condition throughout the year. Along with the reduction of the load factor of the unit, the steam inlet parameter of the low-pressure cylinder of the steam turbine is reduced, and the volume flow is greatly reduced. The existing research shows that when a unit operates under the condition of small volume flow, airflow in the root area of a movable blade gradually breaks away and forms vortex under the action of negative reaction degree, and meanwhile, airflow in a blade cascade channel further forms large-scale unstable separation oscillation vortex on the inner arc surface of the blade under the impact of large negative angle flow, when vortex shedding frequency is coupled with the natural frequency of the blade, the self-excited vibration of the blade is excited to form resonance so that the dynamic stress of the blade is increased suddenly, namely the blade fluttering phenomenon, and the blade is broken and damaged seriously. The safety problem of blade flutter seriously restricts the peak regulation operation depth and the new energy absorption capability of the thermal power turbine unit.
Therefore, the flutter intervals of the long blades of the monitoring unit under different peak regulation operation boundary conditions are accurately evaluated, so that the unit avoids the flutter risk and operates in a safety boundary region, and the method has great significance for ensuring the safety of the normalized deep peak regulation operation of the power generation turbine unit. The existing unit operation monitoring and early warning system mainly aims at 50% THA and above operation conditions of the unit, and the deep peak regulation condition is not fully considered. The monitoring instrument and the sensor are arranged at local positions for monitoring and measuring, and the monitoring position and the variable are not comprehensive. And the key points of concern are mainly shaft vibration, watt temperature, eccentricity, axial displacement and the like, and when the unit is in an off-design working condition, especially when the unit operates at a small volume flow, the system cannot reflect the flutter zone boundary of the low-pressure long blade and timely provides safety early warning, so that the unit has operation potential safety hazards, the intelligent degree is low, and the development direction of an intelligent power plant is not met.
Disclosure of Invention
The invention aims to overcome the defects and provides an online judging method for the flutter region of the deep peak-shaving operation blade of the steam turbine, which can effectively monitor the flutter region of the long blade in a small-volume-flow deep peak-shaving operation state of the steam turbine in real time and provide an early warning function.
In order to achieve the aim, the method for online distinguishing the flutter zone of the turbine depth peak regulation operation blade comprises the following steps of:
determining a threshold value of the surface pressure difference of a turbine operating blade;
detecting an actual measurement value of the dynamic pressure of the surface of the blade, and judging whether a blowing phenomenon occurs or not;
determining the flow speed of the front edge of the blade and the threshold value of the airflow angle;
calculating the airflow angle according to the flow velocity of the front edge of the blade and the threshold value of the airflow angle, and judging whether a backflow vortex structure appears in the blade grid channel;
determining allowable material temperature thresholds of the cylinder body and the blade;
acquiring temperature values of different areas of the cylinder body and the blade, acquiring a temperature gradient between a highest temperature area and an actual measuring point by using a blast temperature model according to an actual temperature measuring point, calculating the highest temperature, comparing the highest temperature with a material allowable temperature threshold, and judging a blast safety area;
determining a front-back pressure difference threshold value of a final-stage blade cascade of the blade;
step eight, detecting dynamic pressure values before and after the final-stage blade cascade, calculating a pressure ratio and a pressure difference, and judging whether air blast is formed or not according to a pressure difference threshold value;
determining influence factors of various factors such as the surface pressure difference of the blade, the front edge flow speed and the airflow angle of the movable blade, the allowable material temperature of the cylinder body and the blade and the pressure difference between the front and the rear of the final-stage blade cascade;
step ten, weighting and calculating the influence factors of all factors to obtain a comprehensive flutter area boundary threshold value;
step eleven, comparing the real-time diagnosis result with the comprehensive flutter area boundary threshold value to obtain a judgment result.
And step two, calculating the difference of the data of the pressure surface and the suction surface of the blade to obtain a pressure difference value, and if the pressure difference value is higher than the threshold value of the pressure difference of the surface of the blade in the step one, determining that no air blowing phenomenon exists.
In the fourth step, the airflow angle calculation is calculated by detecting actual measurement values of the axial, tangential and radial velocities of the airflow at the front edge of the final-stage movable blade acquired by the ultrasonic Doppler flow direction sensor.
In the fourth step, if the airflow attack angle is positive, it is determined that no backflow vortex structure exists in the cascade channel.
And step six, acquiring temperature values of different areas through a plurality of temperature sensors arranged in the areas beside the turbine deep peak shaving operation blades.
And step eight, acquiring the front and rear dynamic pressure values of the final-stage blade cascade through a front and rear dynamic pressure sensor arranged on the final-stage blade cascade.
And step eight, if the pressure ratio and the pressure difference are larger than the front and rear pressure difference threshold values of the final blade cascade of the blade, the blast is considered to be formed, and a backflow area appears in a dynamic gap and a static gap.
And step eleven, if the diagnosis result is higher than the comprehensive flutter zone boundary threshold value, the steam turbine operation zone falls into the flutter zone, an alarm is given, a fault lamp is lightened, and a buzzer gives an alarm.
An online judging system for a flutter region of a deep peak regulation operation blade of a steam turbine comprises a core parameter quantity acquisition system, a data analysis host, a monitoring background and an alarm prompting device, wherein the core parameter quantity acquisition system, the data analysis host and the monitoring background are in data intercommunication with the alarm prompting device;
the core parameter quantity acquisition system is used for acquiring data of the dynamic pressure sensor, the ultrasonic Doppler flow direction sensor, the eddy current displacement measurement sensor and the temperature sensor and sending the data to the data analysis host;
the dynamic pressure sensor is used for detecting the dynamic pressure of the surface of the blade;
the ultrasonic Doppler flow direction sensor is used for detecting the axial speed, the tangential speed and the radial speed of the airflow at the front edge of the last-stage movable blade;
the eddy current displacement measuring sensor is used for monitoring the change of the clearance of the top of the movable blade;
the temperature sensor is used for acquiring temperature values of different areas of the cylinder body and the blades;
the data analysis host is used for processing the data sent by the core parameter acquisition system and sending a processing result to the monitoring background;
the monitoring background is used for receiving a processing result sent by the data analysis host and judging whether to trigger the alarm prompting device or not;
the alarm prompting device is used for giving an alarm.
The alarm prompting device is connected with an alarm switch, and the alarm switch is connected with an alarm lamp and a buzzer.
Compared with the prior art, the method carries out the blade surface differential pressure value, monitors the front edge flow velocity and the airflow angle value of the movable blade, monitors and calculates the temperature value of the highest temperature zone and monitors the front and rear differential pressure value of the last-stage blade grid, and compares all the results with the boundary threshold value of the comprehensive flutter zone to obtain the final judgment result.
The system transmits basic physical data obtained by the parameter quantity test acquisition system into the data analysis host, the data analysis host is connected with the monitoring background, and the monitoring background is connected with the alarm prompting device. The relevant operation parameters of the turbine operating blade are processed through the data analysis host by the parameter quantity test acquisition system, and whether the alarm prompt is started or not is controlled by the monitoring background, so that the long blade flutter area under the small volume flow deep peak regulation operation state of the turbine can be effectively monitored in real time and an early warning effect is provided.
Drawings
FIG. 1 is a flow chart of the present invention;
FIG. 2 is a system diagram of the present invention.
Detailed Description
The invention is further described below with reference to the accompanying drawings.
Referring to fig. 1, an online discrimination method for a flutter zone of a turbine blade in a deep peak regulation operation comprises the following steps:
determining a threshold value of the surface pressure difference of a turbine operating blade;
detecting an actual measurement value of the dynamic pressure of the surface of the blade, and judging whether a blowing phenomenon occurs or not; and (4) calculating the difference of the data of the pressure surface and the suction surface of the blade to obtain a pressure difference value, and if the pressure difference value is higher than the threshold value of the surface pressure difference of the blade in the step one, determining that no air blowing phenomenon exists.
Determining the flow speed of the front edge of the blade and the threshold value of the airflow angle;
calculating the airflow angle according to the flow velocity of the front edge of the blade and the threshold value of the airflow angle, judging whether a backflow vortex structure appears in the cascade channel, and if the airflow attack angle is positive, determining that the backflow vortex structure does not appear in the cascade channel; and the airflow angle calculation is calculated by detecting actual measurement values of the axial speed, the tangential speed and the radial speed of the airflow at the front edge of the final-stage movable blade acquired by the ultrasonic Doppler flow direction sensor.
Determining allowable material temperature thresholds of the cylinder body and the blade;
acquiring temperature values of different areas of the cylinder body and the blade, acquiring a temperature gradient between a highest temperature area and an actual measuring point by using a blast temperature model according to an actual temperature measuring point, calculating the highest temperature, comparing the highest temperature with a material allowable temperature threshold, and judging a blast safety area; temperature values of different areas are obtained through a plurality of temperature sensors arranged in the areas beside the blades of the turbine during deep peak shaving operation.
Determining a front-back pressure difference threshold value of a final-stage blade cascade of the blade;
step eight, detecting dynamic pressure values before and after the last-stage blade cascade, calculating a pressure ratio and a pressure difference, judging whether blast air is formed or not according to a pressure difference threshold value, and if the pressure ratio and the pressure difference are larger than the pressure difference threshold value before and after the last-stage blade cascade of the blade, considering that blast air is formed, and enabling a dynamic clearance and a static clearance to form a backflow area; and the front and rear dynamic pressure values of the final-stage blade cascade are acquired by a front and rear dynamic pressure sensor arranged on the final-stage blade cascade.
Determining influence factors of various factors such as the surface pressure difference of the blade, the front edge flow speed and the airflow angle of the movable blade, the allowable material temperature of the cylinder body and the blade and the pressure difference between the front and the rear of the final-stage blade cascade;
step ten, weighting and calculating the influence factors of all factors to obtain a comprehensive flutter area boundary threshold value;
step eleven, comparing the real-time diagnosis result with the comprehensive flutter zone boundary threshold value, if the diagnosis result is higher than the comprehensive flutter zone boundary threshold value, indicating that the operation interval of the steam turbine falls into the flutter zone, giving an alarm, lighting a fault lamp, and giving an alarm by a buzzer.
Referring to fig. 2, the on-line discrimination system for the flutter zone of the deep peak regulation operation blade of the steam turbine comprises a core parameter quantity acquisition system, a data analysis host, a monitoring background and an alarm prompting device, wherein the core parameter quantity acquisition system, the data analysis host and the monitoring background are in data communication with the alarm prompting device;
the core parameter quantity acquisition system is used for acquiring data of the dynamic pressure sensor, the ultrasonic Doppler flow direction sensor, the eddy current displacement measurement sensor and the temperature sensor and sending the data to the data analysis host;
the dynamic pressure sensor is used for detecting the dynamic pressure of the surface of the blade;
the ultrasonic Doppler flow direction sensor is used for detecting the axial speed, the tangential speed and the radial speed of the airflow at the front edge of the last-stage movable blade;
the eddy current displacement measuring sensor is used for monitoring the change of the clearance of the top of the movable blade;
the temperature sensor is used for acquiring temperature values of different areas of the cylinder body and the blades;
the data analysis host is used for processing the data sent by the core parameter acquisition system and sending a processing result to the monitoring background;
the monitoring background is used for receiving a processing result sent by the data analysis host and judging whether to trigger the alarm prompting device or not;
the alarm prompting device is used for giving an alarm.
The alarm prompting device is connected with an alarm switch, and the alarm switch is connected with an alarm lamp and a buzzer.
The dynamic pressure sensor may be a piezoresistive pressure sensor, a potentiometer pressure sensor, a photoelectric pressure sensor, a piezoelectric pressure sensor, and a strain gauge pressure sensor. During dynamic pressure measurement, the trigger is used for locking the phase of the rotor blade, so that the aim of unchanged measuring initial position under different working conditions can be achieved. The trigger source is a photoelectric non-contact trigger.
The dynamic pressure sensor is arranged on the surface of the blade at 90% of the span of the last-stage stationary blade and the next-to-last-stage stationary blade and is used for acquiring the pressure distribution of the pressure surface and the suction surface of the blade.
The dynamic pressure sensors are also arranged at the inner cylinders at the corresponding positions of the top front edges, the middle parts and the tail edges of the last-stage static blades and the movable blades and are arranged along the axial direction of the steam turbine. The pressure distribution of the tip area is obtained along the axial direction.
The ultrasonic Doppler flow direction sensor mainly utilizes a transmitting sound wave pulse to measure the time or frequency (Doppler conversion) difference of a receiving end to calculate the flow speed and the flow direction. The ultrasonic Doppler flow direction sensor is arranged on the front edge of the final-stage movable vane.
When the eddy current displacement measuring sensor is used for measuring, an alternating magnetic field is generated in a coil of the probe head, and when a measured metal body is close to the magnetic field, an induced current is generated on the metal surface. When the distance between the metal to be detected and the probe is changed, the current value of the coil in the probe is also changed to cause the change of the amplitude of the oscillating voltage, and the oscillating voltage which is changed along with the distance is converted into the voltage change through the detection, filtering, linear compensation and amplification normalization processing, and finally the mechanical displacement is converted into the voltage signal. The eddy current displacement measurement sensor is arranged on the blade top of the final-stage movable blade and used for monitoring the change of the gap of the blade top of the movable blade.
The high-precision temperature sensor can be an NTC thermistor, a platinum resistor, a thermocouple and the like. High accuracy temperature sensor installation and last stage and penultimate movable vane top trailing edge 2 ~ 5mm department, along circumference evenly distributed, arrange 4 ~ 16. The method is used for acquiring the blast temperature field under the working condition of small volume flow.
The data analysis host receives the collected data transmitted by the dynamic pressure sensor, the ultrasonic Doppler flow direction sensor, the eddy current displacement measuring sensor and the high-precision temperature sensor. The data communication mode is ZigBee, z-wave, ANT, Enocean and the like.
When the operation interval of the steam turbine falls into the fluttering area, the alarm switch is turned on, the alarm lamp flickers and the buzzer sends out an alarm.
Claims (10)
1. An online discrimination method for a flutter region of a turbine depth peak regulation operation blade is characterized by comprising the following steps:
determining a threshold value of the surface pressure difference of a turbine operating blade;
detecting an actual measurement value of the dynamic pressure of the surface of the blade, and judging whether a blowing phenomenon occurs or not;
determining the flow speed of the front edge of the blade and the threshold value of the airflow angle;
calculating the airflow angle according to the flow velocity of the front edge of the blade and the threshold value of the airflow angle, and judging whether a backflow vortex structure appears in the blade grid channel;
determining allowable material temperature thresholds of the cylinder body and the blade;
acquiring temperature values of different areas of the cylinder body and the blade, acquiring a temperature gradient between a highest temperature area and an actual measuring point by using a blast temperature model according to an actual temperature measuring point, calculating the highest temperature, comparing the highest temperature with a material allowable temperature threshold, and judging a blast safety area;
determining a front-back pressure difference threshold value of a final-stage blade cascade of the blade;
step eight, detecting dynamic pressure values before and after the final-stage blade cascade, calculating a pressure ratio and a pressure difference, and judging whether air blast is formed or not according to a pressure difference threshold value;
determining influence factors of various factors such as the surface pressure difference of the blade, the front edge flow speed and the airflow angle of the movable blade, the allowable material temperature of the cylinder body and the blade and the pressure difference between the front and the rear of the final-stage blade cascade;
step ten, weighting and calculating the influence factors of all factors to obtain a comprehensive flutter area boundary threshold value;
step eleven, comparing the real-time diagnosis result with the comprehensive flutter area boundary threshold value to obtain a judgment result.
2. The method for online distinguishing the flutter zone of the turbine blade during the depth peak regulation operation of the steam turbine as claimed in claim 1, wherein in the second step, the data of the pressure surface and the suction surface of the blade are subjected to difference calculation to obtain a pressure difference value, and if the pressure difference value is higher than the threshold value of the pressure difference of the surface of the blade in the first step, no blowing phenomenon is identified.
3. The method for online distinguishing the flutter zone of the turbine depth peak-shaving operation blade according to claim 1, wherein in the fourth step, the airflow angle calculation is calculated by detecting actual measurement values of the axial, tangential and radial velocities of the airflow at the front edge of the last stage movable blade, which are acquired by an ultrasonic Doppler flow direction sensor.
4. The method for online distinguishing the flutter zone of the turbine blade in the deep peak shaving operation according to claim 1, wherein in the fourth step, if the attack angle of the airflow is positive, it is determined that no backflow vortex structure exists in the cascade channel.
5. The method for online distinguishing the flutter zone of the turbine depth peak-shaving operation blade according to claim 1, wherein in the sixth step, temperature values of different areas are obtained through a plurality of temperature sensors arranged in the areas beside the turbine depth peak-shaving operation blade.
6. The method for online distinguishing the flutter zone of the turbine depth peak regulation operation blade according to claim 1, wherein in step eight, the front and rear dynamic pressure values of the final cascade are collected by a front and rear dynamic pressure sensor arranged on the final cascade.
7. The method for online distinguishing the flutter region of the turbine depth peak-shaving operation blade according to claim 1, wherein in step eight, if the pressure ratio and the pressure difference are greater than the pressure difference threshold value before and after the last blade cascade of the blade, the blast is considered to be formed, and the backflow region will occur in the dynamic and static gaps.
8. The method for online distinguishing the flutter zone of the turbine deep peak shaving operation blade according to claim 1, wherein in the eleventh step, if the diagnosis result is higher than the comprehensive flutter zone boundary threshold value, the operation zone of the turbine is indicated to fall into the flutter zone, an alarm is given, a fault lamp is lightened, and a buzzer gives an alarm.
9. An online judging system for a flutter region of a deep peak regulation operation blade of a steam turbine is characterized by comprising a core parameter quantity acquisition system, a data analysis host, a monitoring background and an alarm prompting device, wherein the core parameter quantity acquisition system, the data analysis host and the monitoring background are communicated with the alarm prompting device;
the core parameter quantity acquisition system is used for acquiring data of the dynamic pressure sensor, the ultrasonic Doppler flow direction sensor, the eddy current displacement measurement sensor and the temperature sensor and sending the data to the data analysis host;
the dynamic pressure sensor is used for detecting the dynamic pressure of the surface of the blade;
the ultrasonic Doppler flow direction sensor is used for detecting the axial speed, the tangential speed and the radial speed of the airflow at the front edge of the last-stage movable blade;
the eddy current displacement measuring sensor is used for monitoring the change of the clearance of the top of the movable blade;
the temperature sensor is used for acquiring temperature values of different areas of the cylinder body and the blades;
the data analysis host is used for processing the data sent by the core parameter acquisition system and sending a processing result to the monitoring background;
the monitoring background is used for receiving a processing result sent by the data analysis host and judging whether to trigger the alarm prompting device or not;
the alarm prompting device is used for giving an alarm.
10. The system for online distinguishing the flutter zone of the turbine deep peak shaving operation blade according to claim 9, wherein the alarm prompting device is connected with an alarm switch, and the alarm switch is connected with an alarm lamp and a buzzer.
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
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| CN114622959A (en) * | 2020-12-10 | 2022-06-14 | 上海电气电站设备有限公司 | Operation control method for steam turbine cylinder cutting heat supply reconstruction |
| CN114622959B (en) * | 2020-12-10 | 2024-03-19 | 上海电气电站设备有限公司 | Operation control method during steam turbine cylinder cutting heat supply transformation |
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| CN112580164B (en) * | 2020-12-14 | 2022-07-22 | 哈尔滨汽轮机厂有限责任公司 | Design method of low-pressure long blade of nuclear turbine |
| CN113153453A (en) * | 2021-03-02 | 2021-07-23 | 哈尔滨工业大学 | Steam turbine last stage blade volume flow estimation method, flutter early warning method, system and device |
| CN113153453B (en) * | 2021-03-02 | 2022-10-11 | 哈尔滨工业大学 | Steam turbine last stage blade volume flow estimation method, flutter early warning method, system and device |
| CN113280006A (en) * | 2021-05-27 | 2021-08-20 | 中国科学院工程热物理研究所 | Active inhibition method for flutter of engine compression system component |
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| CN114396322B (en) * | 2022-01-18 | 2024-06-14 | 中电华创电力技术研究有限公司 | Judgment method and device for A-level overhaul of deep peak shaver set turbine body |
| CN114876592A (en) * | 2022-06-02 | 2022-08-09 | 西安西热节能技术有限公司 | System and method for automatically adjusting bearing bush vibration of small-volume-flow lower-seat cylinder bearing |
| CN114876592B (en) * | 2022-06-02 | 2023-10-17 | 西安西热节能技术有限公司 | Automatic bearing bush vibration adjusting system and method for cylinder bearing under small volume flow |
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