CN114993511A - Water turbine bearing bush temperature monitoring and early warning method and system - Google Patents

Water turbine bearing bush temperature monitoring and early warning method and system Download PDF

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Publication number
CN114993511A
CN114993511A CN202210543162.4A CN202210543162A CN114993511A CN 114993511 A CN114993511 A CN 114993511A CN 202210543162 A CN202210543162 A CN 202210543162A CN 114993511 A CN114993511 A CN 114993511A
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China
Prior art keywords
bearing bush
temperature
bearing
bush temperature
determining
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CN202210543162.4A
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Chinese (zh)
Inventor
孙超
杨劲松
王宾
徐丹
王剑锋
张高峰
张玉彬
张会军
张俊航
周喜
贺飞
程国栋
李卓
张军
王鑫
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NR Engineering Co Ltd
Xian Thermal Power Research Institute Co Ltd
Huaneng Lancang River Hydropower Co Ltd
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NR Engineering Co Ltd
Xian Thermal Power Research Institute Co Ltd
Huaneng Lancang River Hydropower Co Ltd
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Application filed by NR Engineering Co Ltd, Xian Thermal Power Research Institute Co Ltd, Huaneng Lancang River Hydropower Co Ltd filed Critical NR Engineering Co Ltd
Priority to CN202210543162.4A priority Critical patent/CN114993511A/en
Publication of CN114993511A publication Critical patent/CN114993511A/en
Pending legal-status Critical Current

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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01K—MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
    • G01K13/00—Thermometers specially adapted for specific purposes
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01K—MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
    • G01K1/00—Details of thermometers not specially adapted for particular types of thermometer
    • G01K1/02—Means for indicating or recording specially adapted for thermometers
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00—Energy generation through renewable energy sources
    • Y02E10/20—Hydro energy

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Sliding-Contact Bearings (AREA)

Abstract

The invention provides a water turbine bearing bush temperature monitoring and early warning method and a water turbine bearing bush temperature monitoring and early warning system, wherein the method comprises the following steps: determining that the temperature of the bearing bush is normal according to a preset temperature alarm threshold value based on real-time bearing bush temperature data; determining a future bearing bush temperature predicted value according to a bearing bush temperature predicted formula based on the bearing bush temperature data; and determining whether the bearing bush has a risk of overhigh temperature or not according to a preset predicted temperature abnormity judgment rule based on a future bearing bush temperature predicted value. The temperature of the bearing bush is predicted, early warning is timely carried out before a temperature rise accident of the bearing bush comes, the daily monitoring efficiency of unit workers is effectively improved, and the safe operation of a unit is guaranteed.

Description

Water turbine bearing bush temperature monitoring and early warning method and system
Technical Field
The invention relates to the technical field of power systems, in particular to a water turbine bearing bush temperature monitoring and early warning method and system.
Background
The hydropower station generates electricity by converting potential energy of water into mechanical energy and further into electric energy by a water turbine, and the water turbine is one of the most important devices for generating electricity by the hydropower station. In the process of generating power by the water turbine, the guide bearing of the hydraulic generator is in sliding contact with the guide bearing bush, and the temperature rise of the bearing bush generated by the hydraulic generator set is a common fault type.
When the hydroelectric generating set operates, the temperature of the bearing bush is kept within an allowable range, and the safe operation of the hydroelectric generating set is guaranteed. In order to master the running state of the bearing bush in real time, a temperature measuring device is arranged on each bearing bush, the temperature state of the bearing bush during running is monitored, the future temperature of the bearing bush cannot be predicted, and early warning is realized before a bearing bush temperature rise accident comes.
Therefore, how to provide a hydraulic turbine axle bush temperature monitoring and early warning method and system, the realization is to the prediction of axle bush temperature, and in time early warning before axle bush intensification accident arrives, effectively improves unit staff's daily monitoring efficiency, ensures the safe operation of unit, becomes the problem that awaits a urgent need to solve.
Disclosure of Invention
Aiming at the defects in the prior art, the embodiment of the invention provides a water turbine bearing bush temperature monitoring and early warning method and system.
The invention provides a water turbine bearing bush temperature monitoring and early warning method, which comprises the following steps:
determining that the temperature of the bearing bush is normal based on real-time bearing bush temperature data and according to a preset temperature alarm threshold;
determining a future bearing bush temperature predicted value according to a bearing bush temperature predicted formula based on the bearing bush temperature data;
and determining whether the bearing bush has a risk of overhigh temperature or not according to a preset predicted temperature abnormity judgment rule based on a future bearing bush temperature predicted value.
According to the water turbine bearing bush temperature monitoring and early warning method provided by the invention, whether the bearing bush has a risk of overhigh temperature or not is determined according to a preset predicted temperature abnormity judgment rule based on a future bearing bush temperature predicted value, and the method specifically comprises the following steps:
judging whether the predicted value of the future bearing bush temperature is greater than a preset prediction alarm threshold value or not according to a preset prediction temperature abnormity judgment rule;
and if the predicted value of the temperature of the bearing bush in the future is larger than the preset prediction alarm threshold, determining that the bearing bush has a risk of overhigh temperature, and sending out prediction alarm information of overhigh temperature of the bearing bush.
According to the water turbine bearing bush temperature monitoring and early warning method provided by the invention, before the step of determining a future bearing bush temperature predicted value according to a bearing bush temperature prediction formula based on bearing bush temperature data, the method further comprises the following steps: determining a bearing bush temperature prediction formula;
determining a bearing bush temperature prediction formula, specifically comprising:
constructing an expression of a bearing bush temperature prediction formula through parametric analysis;
fitting an expression of a bearing bush temperature prediction formula based on historical bearing bush temperature data to determine a fitting coefficient value;
and substituting the fitting coefficient value into an expression of the bearing bush temperature prediction formula to determine the bearing bush temperature prediction formula.
According to the water turbine bearing bush temperature monitoring and early warning method provided by the invention, an expression of a bearing bush temperature prediction formula is constructed through parametric analysis, and the method specifically comprises the following steps:
constructing a bearing bush temperature-time relational expression and a bearing bush-rotating speed relational expression through parametric analysis;
and determining an expression of a bearing bush temperature prediction formula based on the bearing bush temperature-time relational expression and the bearing bush-rotating speed relational expression.
According to the water turbine bearing bush temperature monitoring and early warning method provided by the invention, after the step of determining the bearing bush temperature prediction formula, the method further comprises the following steps: iteratively updating a bearing bush temperature prediction formula;
iteratively updating a bearing bush temperature prediction formula, specifically comprising:
determining an updated fitting coefficient value according to a bearing bush temperature prediction formula based on the real-time bearing bush temperature data and the real-time water turbine rotation speed data;
and substituting the updated fitting coefficient value into an expression of the bearing bush temperature prediction formula to determine the updated bearing bush temperature prediction formula.
According to the water turbine bearing bush temperature monitoring and early warning method provided by the invention, a future bearing bush temperature predicted value is determined according to a bearing bush temperature prediction formula based on bearing bush temperature data, and the method specifically comprises the following steps:
determining a prediction time based on real-time bearing bush temperature data;
and under the condition that the rotating speed of the water turbine is not changed at the prediction moment, substituting the prediction moment into the updated bearing bush temperature prediction formula, and calculating to obtain a future bearing bush temperature prediction value.
The method for monitoring and early warning the temperature of the bearing bush of the water turbine provided by the invention comprises the following steps of determining a predicted value of the future temperature of the bearing bush according to a bearing bush temperature prediction formula based on bearing bush temperature data, and specifically comprises the following steps
Determining a prediction moment based on real-time bearing bush temperature data;
determining the rotating speed of the water turbine at the forecasting moment under the condition that the rotating speed of the water turbine changes at the forecasting moment;
updating a bearing bush temperature prediction formula based on the rotating speed of the water turbine at the prediction moment and real-time bearing bush temperature data, and determining a target bearing bush prediction formula;
and substituting the predicted time into a target bearing bush temperature prediction formula to calculate to obtain a future bearing bush temperature predicted value.
The invention also provides a water turbine bearing bush temperature monitoring and early warning system, which comprises: the device comprises a bearing bush temperature monitoring unit, a bearing bush temperature prediction unit and a bearing bush temperature early warning unit;
the bearing bush temperature monitoring unit is used for determining that the temperature of the bearing bush is normal based on real-time bearing bush temperature data according to a preset temperature alarm threshold;
the bearing bush temperature prediction unit is used for determining a future bearing bush temperature prediction value according to a bearing bush temperature prediction formula based on the bearing bush temperature data;
and the bearing bush temperature early warning unit is used for determining whether the bearing bush has a risk of overhigh temperature or not according to a preset predicted temperature abnormity judgment rule based on a future bearing bush temperature predicted value.
The invention also provides electronic equipment which comprises a memory, a processor and a computer program which is stored on the memory and can be run on the processor, wherein the processor executes the program to realize the steps of any one of the above water turbine bearing bush temperature monitoring and early warning methods.
The invention also provides a non-transitory computer readable storage medium, on which a computer program is stored, wherein the computer program, when executed by a processor, implements the steps of any one of the above-mentioned turbine bearing bush temperature monitoring and early warning methods.
According to the water turbine bearing bush temperature monitoring and early warning method and system, the bearing bush temperature data are obtained in real time to monitor the bearing bush temperature, the prediction of the future temperature of the bearing bush is realized, and early warning is timely carried out before a bearing bush temperature rise accident comes on the basis of the prediction result, so that the daily monitoring efficiency of the staff of a unit is effectively improved, the generation of the bearing bush temperature rise accident is avoided, and the safe operation of the unit is guaranteed.
Drawings
In order to more clearly illustrate the technical solutions of the present invention or the prior art, the drawings needed for the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and those skilled in the art can also obtain other drawings according to the drawings without creative efforts.
FIG. 1 is a flow chart of a monitoring and early warning method for the temperature of a bearing bush of a water turbine provided by the invention;
fig. 2 is a schematic structural diagram of a temperature monitoring and early warning device for a bearing bush of a water turbine provided by the invention;
FIG. 3 is a schematic view of a flow chart of a monitoring and early warning method for the temperature of a bearing bush of a water turbine provided by the invention;
fig. 4 is a schematic structural view of a water turbine bearing bush temperature monitoring and early warning system provided by the invention;
fig. 5 is a schematic physical structure diagram of an electronic device provided in the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is obvious that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Fig. 1 is a flowchart of a monitoring and early warning method for the temperature of a bearing bush of a water turbine, as shown in fig. 1, the monitoring and early warning method for the temperature of the bearing bush of the water turbine provided by the invention comprises the following steps:
step S1, based on the real-time bearing bush temperature data, according to a preset temperature alarm threshold, determining that the bearing bush temperature is normal;
step S2, determining a future bearing bush temperature prediction value according to a bearing bush temperature prediction formula based on the bearing bush temperature data;
and step S3, determining whether the bearing bush has the risk of overhigh temperature or not according to a preset predicted temperature abnormity judgment rule based on the future bearing bush temperature predicted value.
Specifically, fig. 2 is a schematic structural diagram of a temperature monitoring and early warning device for a bearing bush of a water turbine provided by the present invention, and as shown in fig. 2, the present invention is explained with reference to an actual application process of the present invention. Water turbine axle bush temperature monitoring early warning device includes: the system comprises a bearing bush temperature sensing terminal, a bearing bush temperature data server, a bearing bush temperature data analysis module, a bearing bush temperature data display module and a printer.
The number of the bearing bushes in the unit is generally more than one, the specific number of the bearing bush temperature sensing terminals contained in the bearing bush temperature acquisition device can be set according to the number of the bearing bushes, and the bearing bush temperature sensing terminals are respectively arranged on the bearing bushes.
The bearing bush temperature data server is used for storing history and real-time temperature data of each bearing bush, which are acquired by the bearing bush temperature acquisition device; the temperature data analysis module is used for analyzing whether the temperature of the bearing bush is normal or not and predicting the future temperature trend of the bearing bush; the bearing bush temperature data display module is used for displaying real-time bearing bush temperature, bearing bush high temperature alarm and bearing bush temperature development trend curve printer and is used for printing bearing bush temperature data and a bearing bush temperature development trend curve.
The bearing bush temperature acquisition device is connected with the bearing bush temperature database server, and bearing bush temperature data acquired by the bearing bush temperature acquisition device are transmitted to the bearing bush temperature database server for storage.
And the bearing bush temperature data analysis module is connected with a bearing bush temperature database server to perform data bidirectional interaction. And the bearing bush temperature data analysis module is connected with a bearing bush temperature database server to perform data bidirectional interaction.
And the printer is connected with the bearing bush temperature database server, reads the related data stored by the bearing bush temperature database server and prints the related data. And the monitored bearing bush temperature data and the bearing bush temperature development curve support the printing function, and provide paper analysis data for operation and maintenance personnel of the unit.
The device can realize real-time collection and display of the temperature data of the bearing bush of the water turbine and predict the temperature of the bearing bush. The temperature development trend of each bearing bush is predicted, data support is provided for bearing bush overhauling operation, and the bearing bush overhauling time is shortened.
When the method for monitoring and early warning the temperature of the bearing bush of the water turbine is realized by utilizing the device for monitoring and early warning the temperature of the bearing bush of the water turbine, the bearing bush temperature acquisition device acquires the real-time temperature of the bearing bush and outputs the acquired temperature data of the bearing bush to the bearing bush temperature database server for storage, and in the step S1, the bearing bush temperature data analysis module analyzes the acquired real-time temperature data of the bearing bush, judges whether the temperature of the bearing bush is normal or not according to a preset temperature warning threshold value, and returns the result to the bearing bush temperature database server for storage.
It should be noted that the temperature range of the bearing bush during operation can be set according to the actual situation, and the corresponding preset temperature alarm threshold is also set according to the actual requirement, which is not limited in the present invention.
Two results are obtained when the temperature of the bearing bush is judged to be normal, the temperature of the bearing bush is determined to be higher than the temperature alarm threshold value through comparison, the bearing bush is judged to be abnormal when the temperature is too high, and at the moment, the bearing bush temperature data display module can be used for giving an alarm to the unit staff, so that the unit staff can take corresponding treatment measures in time.
And if the monitored temperature is lower than the temperature alarm threshold, judging that the temperature of the bearing bush is normal, further predicting the temperature of the bearing bush at the moment, and determining whether the temperature of the bearing bush is in a safe range in a future period of time.
In step S2, the bearing shell temperature data analysis module predicts a future temperature of the bearing shell based on the bearing shell temperature data according to a bearing shell temperature prediction formula, and determines a predicted future bearing shell temperature value.
It can be understood that in the present invention, the bearing bush temperature prediction formula may be determined by fitting a curve formula by a mathematical method, or a neural network model of bearing bush temperature-time is constructed and trained, and the neural network model is used to embody the bearing bush temperature prediction formula. The expression form of the specific bearing bush temperature prediction formula can be selected according to actual requirements, and the invention is not limited to this.
The prediction of the bushing temperature may be a prediction of the bushing temperature at a time next to the current time, a prediction by setting a preset time interval (for example, 10 s), or a prediction by selecting a fixed time point, but the present invention is not limited thereto.
After determining the predicted future bearing bush temperature value, in step S3, the bearing bush temperature data analysis module determines whether there is a risk of an over-temperature of the bearing bush according to a preset predicted temperature anomaly determination rule.
It should be noted that, the comparison between the predicted value and the preset threshold, or the difference between the predicted value and the real-time value may be used as a judgment basis, or whether the change of the predicted value meets the change rule of the historical data may be used as a judgment basis.
It should be understood that the detailed structure and implementation of the above-described apparatus are only used as an example to illustrate the present invention, and not as a limitation to the present invention.
According to the water turbine bearing bush temperature monitoring and early warning method, the bearing bush temperature data are obtained in real time to monitor the bearing bush temperature, the future temperature of the bearing bush is predicted, early warning is carried out in time before a bearing bush temperature rise accident comes on the basis of the prediction result, the daily monitoring efficiency of a unit worker is effectively improved, the generation of the bearing bush temperature rise accident is avoided, and the safe operation of the unit is guaranteed.
Optionally, the method for monitoring and warning the temperature of the bearing bush of the water turbine according to the present invention determines whether the bearing bush has a risk of an excessive temperature according to a preset predicted temperature abnormality determination rule based on a predicted value of the future bearing bush temperature, and specifically includes:
judging whether the predicted value of the future bearing bush temperature is greater than a preset prediction alarm threshold value or not according to a preset prediction temperature abnormity judgment rule;
and if the predicted value of the temperature of the bearing bush in the future is larger than the preset prediction alarm threshold, determining that the bearing bush has a risk of overhigh temperature, and sending out prediction alarm information of overhigh temperature of the bearing bush.
Specifically, the bearing bush temperature data analysis module has the functions of analyzing whether the bearing bush temperature is normal or not and predicting the future temperature trend of the bearing bush, and after the predicted value of the future bearing bush temperature is determined, whether the risk of overhigh temperature exists in the bearing bush or not is judged.
Presetting a preset prediction alarm threshold value, and comparing the future bearing bush temperature prediction value with the preset prediction alarm threshold value according to a preset prediction temperature abnormity judgment rule.
And if the predicted value of the temperature of the bearing bush in the future is larger than the preset prediction alarm threshold value, judging that the bearing bush in the future has a risk of overhigh temperature within a certain time, and sending prediction alarm information of overhigh temperature of the bearing bush.
And if the monitored temperature is lower than a preset prediction alarm threshold value, judging that the temperature of the bearing bush is normal within a certain time in the future. The preset prediction alarm threshold and the preset temperature alarm threshold may be set to have the same or different values, and the present invention is not limited thereto.
The water turbine bearing bush temperature monitoring and early warning method provided by the invention realizes real-time monitoring and intelligent prediction of the bearing bush temperature, enables operation and maintenance personnel of a unit to accurately master the running state of the bearing bush, and makes a bearing bush maintenance plan and carries out maintenance before a bearing bush temperature rise accident comes according to the future trend of the temperature, thereby effectively improving the daily monitoring efficiency of the working personnel of the unit, avoiding the generation of the bearing bush temperature rise accident and ensuring the safe running of the unit.
Optionally, before the step of determining a future bearing bush temperature prediction value according to a bearing bush temperature prediction formula based on the bearing bush temperature data, the method for monitoring and warning the temperature of the bearing bush of the water turbine according to the invention further includes: determining a bearing bush temperature prediction formula;
determining a bearing bush temperature prediction formula, specifically comprising:
constructing an expression of a bearing bush temperature prediction formula through parametric analysis;
fitting an expression of a bearing bush temperature prediction formula based on historical bearing bush temperature data, and determining a fitting coefficient value;
and substituting the fitting coefficient value into an expression of the bearing bush temperature prediction formula to determine the bearing bush temperature prediction formula.
Specifically, before the bearing temperature prediction is carried out, a bearing temperature prediction formula for prediction needs to be determined. And the bearing bush temperature data analysis module analyzes historical bearing bush temperature data and real-time data, establishes development models and trends of the temperature data of each bearing bush, predicts the future bearing bush temperature, and returns the result to the bearing bush temperature database server for storage.
Firstly, carrying out parametric analysis on a large amount of historical data based on experience, determining related objects influencing the temperature of the bearing bush, and constructing an expression of a bearing bush temperature prediction formula.
It should be understood that the bearing bush temperature prediction formula is a mathematical formula, and power polynomials and other forms of functions can be used, and the expression form of the formula is not limited by the invention.
And after the expression containing the position coefficient is determined, fitting the expression of the bearing bush temperature prediction formula based on historical bearing bush temperature data, and determining a fitting coefficient value. And substituting the obtained fitting coefficient value into an expression of the bearing bush temperature prediction formula to determine the bearing bush temperature prediction formula.
It can be understood that the temperature of the bearing shell is monitored for a certain time, corresponding time, temperature and rotation speed data (not less than 6 pieces) are monitored, historical bearing shell data are obtained by storing, the amount of data and the processing (preprocessing, screening and the like on the data) of the historical bearing shell data are selected (for example, the selected time period, the selected operating state of the water turbine and the like) of the historical data, and the selection can be performed according to actual requirements, which is not limited by the invention.
The water turbine bearing bush temperature monitoring and early warning method provided by the invention realizes real-time monitoring of the operating temperature of the water turbine bearing bush, carries out alarm of overhigh bearing bush temperature according to the set temperature threshold, and meanwhile, establishes a bearing bush temperature prediction formula according to historical bearing bush temperature data, real-time bearing bush temperature data, the rotating speed of the water turbine and the like, can effectively predict the temperature of the bearing bush within a certain time in the future, carries out early warning, is beneficial to operation and maintenance personnel of a unit to master the operating condition of the bearing bush, thereby developing targeted maintenance measures, improving operation and maintenance efficiency, avoiding the generation of temperature rise accidents of the bearing bush and ensuring the safe operation of the unit.
Optionally, according to the water turbine bearing bush temperature monitoring and early warning method provided by the invention, an expression of a bearing bush temperature prediction formula is constructed through parametric analysis, and the method specifically includes the following steps:
constructing a bearing bush temperature-time relational expression and a bearing bush-rotating speed relational expression through parametric analysis;
and determining an expression of a bearing bush temperature prediction formula based on the bearing bush temperature-time relational expression and the bearing bush-rotating speed relational expression.
Specifically, the correlation between the temperature and the rotating speed of the bearing bush is determined through parametric analysis, and the expression is divided into a bearing bush temperature-time relational expression and a bearing bush-rotating speed relational expression when the expression is constructed.
And determining an expression of a bearing bush temperature prediction formula based on the bearing bush temperature-time relational expression and the bearing bush-rotating speed relational expression.
For example, taking a sixth-order polynomial as an example, the bushing temperature prediction equation can be expressed as φ (T, t) = φ 1 （T、t）+φ 2 (T, r) wherein the bearing temperature vs. time relationship has a 6 th order polynomial φ 1 (T, t), a bearing temperature and speed relation phi 2 (T, r). T represents temperature, T represents time, and r represents rotational speed. In particular, r is a timing, phi 2 (T, r) is a constant.
By combining the influence of the temperature and the rotating speed of the bearing bush on the predicted temperature of the bearing bush, compared with a mode of directly fitting the temperature and the time of the bearing bush, the influence of the rotating speed of the water turbine on the predicted temperature can be accurately reflected, and the prediction accuracy is improved.
The water turbine bearing bush temperature monitoring and early warning method provided by the invention realizes real-time monitoring of the operating temperature of the water turbine bearing bush, carries out alarm of overhigh bearing bush temperature according to the set temperature threshold, and meanwhile, establishes a bearing bush temperature prediction formula according to historical bearing bush temperature data, real-time bearing bush temperature data, the rotating speed of the water turbine and the like, can effectively predict the temperature of the bearing bush within a certain time in the future, carries out early warning, is beneficial to operation and maintenance personnel of a unit to master the operating condition of the bearing bush, thereby developing targeted maintenance measures, improving operation and maintenance efficiency, avoiding the generation of temperature rise accidents of the bearing bush and ensuring the safe operation of the unit.
Optionally, according to the method for monitoring and warning the temperature of the bearing bush of the water turbine provided by the invention, after the step of determining the prediction formula of the temperature of the bearing bush, the method further includes: iteratively updating a bearing bush temperature prediction formula;
the iterative updating of the bearing bush temperature prediction formula specifically comprises:
determining an updated fitting coefficient value according to a bearing bush temperature prediction formula based on the real-time bearing bush temperature data and the real-time water turbine rotation speed data;
and substituting the updated fitting coefficient value into an expression of the bearing bush temperature prediction formula to determine the updated bearing bush temperature prediction formula.
Specifically, in order to further make the fitting formula more accurate, the bearing bush temperature prediction formula is updated every time the bearing bush temperature prediction is performed.
Fig. 3 is a schematic view of a flow chart of a monitoring and early warning method for the temperature of a bearing bush of a water turbine provided by the present invention, and as shown in fig. 3, a mode of establishing a formula and iteratively updating the formula according to the present invention is described by taking a sextic-order temperature-time relationship model (a bearing bush temperature prediction formula) as an example.
After curve fitting is carried out on the formula based on historical data to obtain polynomial parameters and an initial bearing bush temperature prediction formula (a bearing bush temperature and time relation initial model) is determined, the formula is continuously updated iteratively according to bearing bush temperature sensing data acquired in real time and the rotating speed of a water turbine along with the time, fitting coefficients in the formula are replaced, and phi (T, t) polynomial coefficients are updated. Bearing bush temperature prediction formula phi (b) capable of being iteratively updatedT、t）=φ 1 （T、t）+φ 2 (T, r) and the dynamic model is called a temperature time relation of the bearing bush.
The water turbine bearing bush temperature monitoring and early warning method provided by the invention realizes real-time monitoring of the running temperature of the water turbine bearing bush, carries out overtemperature warning on the bearing bush according to the set temperature threshold, and meanwhile, establishes a bearing bush temperature time relation dynamic model according to historical bearing bush temperature data, bearing bush temperature real-time data, the water turbine rotating speed and the like, and can update the bearing bush temperature development trend model in real time according to the real-time temperature data of the bearing bush to obtain a more accurate bearing bush temperature and time data model. The accuracy of bearing bush temperature prediction is improved, and operation and maintenance personnel of the unit can master the operation condition of the bearing bush, so that targeted maintenance measures can be carried out, the operation and maintenance efficiency is improved, the generation of temperature rise accidents of the bearing bush is avoided, and the safe operation of the unit is guaranteed.
Optionally, according to the water turbine bearing bush temperature monitoring and early warning method provided by the present invention, a future bearing bush temperature prediction value is determined according to a bearing bush temperature prediction formula based on bearing bush temperature data, and the method specifically includes:
determining a prediction moment based on real-time bearing bush temperature data;
and under the condition that the rotating speed of the water turbine is not changed at the prediction moment, substituting the prediction moment into the updated bearing bush temperature prediction formula, and calculating to obtain a future bearing bush temperature prediction value.
Specifically, when the temperature of the bearing bush is predicted, the rotation speed of the water turbine is not changed and the rotation speed of the water turbine is changed.
And when the rotating speed of the water turbine is not changed, determining the prediction time according to the real-time bearing bush temperature data. For example, taking the next time as an example, if the time corresponding to the real-time pad temperature data is t, the pad temperature at time t +1 is predicted.
And in the phi (T, t) polynomial, the phi (T, t + 1) value at the t +1 moment is the predicted value of the bearing bush temperature at the t +1 moment.
It is understood that, besides predicting the next time, a fixed time interval or a fixed time point time may be predicted, and the specific predicted time may be adjusted according to actual needs, which is not limited in the present invention.
The water turbine bearing bush temperature monitoring and early warning method provided by the invention realizes real-time monitoring of the operating temperature of the water turbine bearing bush, carries out alarm of overhigh bearing bush temperature according to the set temperature threshold, and meanwhile, establishes a bearing bush temperature time relation dynamic model according to historical bearing bush temperature data, bearing bush temperature real-time data, the rotating speed of the water turbine and the like, can effectively predict the temperature of the bearing bush and carries out early warning, and is beneficial for operation and maintenance personnel of a unit to master the operating condition of the bearing bush, thereby developing targeted maintenance measures, improving operation and maintenance efficiency, avoiding the generation of temperature rise accidents of the bearing bush and ensuring the safe operation of the unit.
Optionally, the method for monitoring and early warning the temperature of the bearing bush of the water turbine provided by the invention comprises the step of determining a predicted value of the future temperature of the bearing bush according to a bearing bush temperature prediction formula based on the temperature data of the bearing bush, and specifically comprises the step of
Determining a prediction moment based on real-time bearing bush temperature data;
determining the rotating speed of the water turbine at the forecasting moment under the condition that the rotating speed of the water turbine changes at the forecasting moment;
updating a bearing bush temperature prediction formula based on the water turbine rotating speed and the real-time bearing bush temperature data at the prediction moment, and determining a target bearing bush prediction formula;
and substituting the predicted time into a target bearing bush temperature prediction formula to calculate to obtain a future bearing bush temperature predicted value.
Specifically, since the temperature of the bearing bush and the rotation speed of the water turbine are closely related, when the rotation speed of the water turbine is changed from the current time at the moment of determining the prediction, the bearing bush temperature prediction formula needs to be adjusted.
And updating the fitting coefficient in the bearing bush temperature prediction formula by using the water turbine rotating speed at the prediction moment and the real-time bearing bush data to obtain a target bearing bush prediction formula. And taking the target bearing bush prediction formula as a calculation formula, and calculating the bearing bush temperature at the prediction moment as a future bearing bush temperature prediction value.
For example, when the rotating speed of the water turbine is updated, an operator inputs the rotating speed at the moment t +1 through the bearing bush temperature data display module so as to update phi 2 And (T, r) updating the dynamic model of the bearing bush temperature time relation, and recalculating the phi (T, t + 1) value at the t +1 moment by the system to obtain the predicted value of the bearing bush temperature at the t +1 moment.
The bearing bush temperature data display module reads real-time bearing bush temperature data and abnormal information from a bearing bush temperature database server and displays the real-time bearing bush temperature data and the abnormal information on a system interface; and reading the bearing bush temperature trend model, and drawing temperature and time curves. Meanwhile, a system operator is allowed to edit the axle bush temperature alarm threshold data and the temperature prediction model, and particularly when the rotating speed of the water turbine is adjusted, the operator can input rotating speed information of the water turbine through the axle bush temperature data display module and can also automatically read the real-time rotating speed of the water turbine through the system to correct the axle bush temperature trend model.
It should be noted that, the mathematical method for updating the fitting coefficient based on the data can adopt the prior art, and the present invention does not make much explanation.
The water turbine bearing bush temperature monitoring and early warning method provided by the invention realizes real-time monitoring of the operating temperature of the water turbine bearing bush, carries out alarm of overhigh bearing bush temperature according to the set temperature threshold, and meanwhile, establishes a bearing bush temperature time relation dynamic model according to historical bearing bush temperature data, bearing bush temperature real-time data, the rotating speed of the water turbine and the like, can effectively predict the temperature of the bearing bush within a certain time in the future, carries out early warning, is beneficial to operation and maintenance personnel of a unit to master the operating condition of the bearing bush, thereby developing targeted maintenance measures, improving operation and maintenance efficiency, avoiding the generation of temperature rise accidents of the bearing bush and ensuring the safe operation of the unit.
Fig. 4 is a schematic structural diagram of a water turbine bearing bush temperature monitoring and early warning system provided by the present invention, and as shown in fig. 4, the present invention further provides a water turbine bearing bush temperature monitoring and early warning system, which includes: a bearing bush temperature monitoring unit 410, a bearing bush temperature prediction unit 420 and a bearing bush temperature early warning unit 430;
the bearing bush temperature monitoring unit 410 is used for determining that the temperature of the bearing bush is normal based on real-time bearing bush temperature data according to a preset temperature alarm threshold;
a bearing bush temperature prediction unit 420, configured to determine a future bearing bush temperature prediction value according to a bearing bush temperature prediction formula based on the bearing bush temperature data;
and the bearing bush temperature early warning unit 430 is configured to determine whether the bearing bush has a risk of over-high temperature according to a preset predicted temperature abnormality judgment rule based on a future bearing bush temperature predicted value.
Specifically, fig. 2 is a schematic structural view of a temperature monitoring and early warning device for a bearing bush of a water turbine provided by the present invention, and as shown in fig. 2, the present invention is explained with reference to an actual application process of the present invention. Water turbine axle bush temperature monitoring early warning device includes: the system comprises a bearing bush temperature sensing terminal, a bearing bush temperature data server, a bearing bush temperature data analysis module, a bearing bush temperature data display module and a printer.
The number of the bearing bushes in the unit is generally more than one, the specific number of the bearing bush temperature sensing terminals contained in the bearing bush temperature acquisition device can be set according to the number of the bearing bushes, and the bearing bush temperature sensing terminals are respectively arranged on the bearing bushes.
The bearing bush temperature data server is used for storing history and real-time temperature data of each bearing bush, which are acquired by the bearing bush temperature acquisition device; the temperature data analysis module is used for analyzing whether the temperature of the bearing bush is normal or not and predicting the future temperature trend of the bearing bush; the bearing bush temperature data display module is used for displaying real-time bearing bush temperature, bearing bush high temperature alarm and bearing bush temperature development trend curve printer and is used for printing bearing bush temperature data and a bearing bush temperature development trend curve.
The bearing bush temperature acquisition device is connected with the bearing bush temperature database server, and bearing bush temperature data acquired by the bearing bush temperature acquisition device are transmitted to the bearing bush temperature database server for storage.
And the bearing bush temperature data analysis module is connected with a bearing bush temperature database server to perform data bidirectional interaction. And the bearing bush temperature data analysis module is connected with a bearing bush temperature database server to perform data bidirectional interaction.
And the printer is connected with the bearing bush temperature database server, reads the related data stored by the bearing bush temperature database server and prints the related data. And the monitored bearing bush temperature data and the bearing bush temperature development curve support the printing function, and provide paper analysis data for operation and maintenance personnel of the unit.
The device can realize real-time collection and display of the temperature data of the bearing bush of the water turbine and predict the temperature of the bearing bush. The temperature development trend of each bearing bush is predicted, data support is provided for bearing bush overhauling operation, and the bearing bush overhauling time is shortened.
When the method for monitoring and early warning the temperature of the bearing bush of the water turbine is realized by utilizing the device for monitoring and early warning the temperature of the bearing bush of the water turbine, the bearing bush temperature acquisition device acquires the temperature of the real-time bearing bush, outputs the acquired temperature data of the bearing bush to the bearing bush temperature database server for storage, and the bearing bush temperature monitoring unit 410 is used for analyzing the acquired temperature data of the real-time bearing bush by the bearing bush temperature data analysis module, judging whether the temperature of the bearing bush is normal or not according to a preset temperature alarm threshold value, and returning the result to the bearing bush temperature database server for storage.
It should be noted that the temperature range of the bearing bush during operation can be set according to the actual situation, and the corresponding preset temperature alarm threshold is also set according to the actual requirement, which is not limited in the present invention.
Two results are obtained when the bearing bush temperature is judged to be normal, the bearing bush temperature is determined to be higher than the temperature alarm threshold value through comparison, the bearing bush temperature is judged to be abnormal when the temperature is too high, at the moment, the bearing bush temperature data display module can be used for alarming the crew, and the crew can take corresponding treatment measures in time.
And if the monitored temperature is lower than the temperature alarm threshold, judging that the temperature of the bearing bush is normal, further predicting the temperature of the bearing bush at the moment, and determining whether the temperature of the bearing bush is in a safe range in a future period of time.
And the bearing bush temperature prediction unit 420 is used for predicting the future temperature of the bearing bush by the bearing bush temperature data analysis module according to a bearing bush temperature prediction formula based on the bearing bush temperature data, and determining a predicted value of the future bearing bush temperature.
It can be understood that in the present invention, the bearing bush temperature prediction formula may be determined by fitting a curve formula by a mathematical method, or a neural network model of bearing bush temperature-time is constructed and trained, and the neural network model is used to embody the bearing bush temperature prediction formula. The expression form of the specific bearing bush temperature prediction formula can be selected according to actual requirements, and the invention is not limited to this.
The prediction of the bushing temperature may be a prediction of the bushing temperature at a time next to the current time, a prediction by setting a preset time interval (for example, 10 s), or a prediction by selecting a fixed time point, but the present invention is not limited thereto.
After the predicted value of the future bearing bush temperature is determined, the bearing bush temperature early warning unit 430 is used for determining whether the bearing bush has a risk of overhigh temperature and determining whether the bearing bush has a risk of overhigh temperature according to a preset predicted temperature abnormity judgment rule by the bearing bush temperature data analysis module. And if the risk of overhigh temperature is determined, giving an alarm. If the risk of overhigh temperature is determined to be absent, the next prediction process can be carried out.
For example, by comparing the future predicted temperature with a set predicted temperature alarm threshold, if the predicted temperature is higher than the predicted temperature alarm threshold, it is determined that the bearing bush has a risk of an excessive temperature within a certain time in the future, and if the monitored temperature is lower than the predicted temperature alarm threshold, it is determined that the temperature of the bearing bush is normal within a certain time in the future. The predicted temperature alarm threshold and the preset temperature alarm threshold may be set to be the same or different, and the present invention is not limited thereto.
It should be noted that the method for determining by setting the predicted temperature alarm threshold is only used as a specific example to describe the present invention, and besides, the magnitude of the difference between the predicted value and the real-time value may also be used as a determination basis, or whether the change of the predicted value meets the change rule of the historical data may be used as a determination basis.
It should be understood that the detailed structure and implementation of the above-described apparatus are only used as an example to illustrate the present invention, and not as a limitation to the present invention.
The water turbine bearing bush temperature monitoring and early warning system provided by the invention can acquire bearing bush temperature data in real time to monitor the temperature of the bearing bush, can predict the future temperature of the bearing bush, and can early warn in time before a bearing bush temperature rise accident comes on the basis of the predicted result, so that the daily monitoring efficiency of a unit worker is effectively improved, the generation of the bearing bush temperature rise accident is avoided, and the safe operation of the unit is ensured.
It should be noted that, the water turbine bearing bush temperature monitoring and early warning system provided by the present invention is used for executing the above water turbine bearing bush temperature monitoring and early warning method, and the specific implementation manner thereof is consistent with the implementation manner of the method, and is not described herein again.
Fig. 5 is a schematic physical structure diagram of an electronic device provided in the present invention, and as shown in fig. 5, the electronic device may include: a processor (processor)510, a communication interface (communication interface)520, a memory (memory)530 and a communication bus 540, wherein the processor 510, the communication interface 520 and the memory 530 communicate with each other via the communication bus 540. Processor 510 may invoke logic instructions in memory 530 to perform a turbine liner temperature monitoring and warning method, the method comprising: determining that the temperature of the bearing bush is normal based on real-time bearing bush temperature data and according to a preset temperature alarm threshold; determining a future bearing bush temperature predicted value according to a bearing bush temperature predicted formula based on the bearing bush temperature data; and determining whether the bearing bush has a risk of overhigh temperature or not according to a preset predicted temperature abnormity judgment rule based on a future bearing bush temperature predicted value.
Furthermore, the logic instructions in the memory 530 may be implemented in the form of software functional units and stored in a computer readable storage medium when the software functional units are sold or used as independent products. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-only memory (ROM), a Random Access Memory (RAM), a magnetic disk, an optical disk, or other various media capable of storing program codes.
In another aspect, the present invention further provides a computer program product, the computer program product includes a computer program stored on a non-transitory computer readable storage medium, the computer program includes program instructions, when the program instructions are executed by a computer, the computer is capable of executing the method for monitoring and warning the temperature of a water turbine bearing shell, the method includes: determining that the temperature of the bearing bush is normal based on real-time bearing bush temperature data and according to a preset temperature alarm threshold; determining a future bearing bush temperature predicted value according to a bearing bush temperature predicted formula based on the bearing bush temperature data; and determining whether the bearing bush has a risk of overhigh temperature or not according to a preset predicted temperature abnormity judgment rule based on a future bearing bush temperature predicted value.
In yet another aspect, the present invention further provides a non-transitory computer readable storage medium, on which a computer program is stored, the computer program being implemented by a processor to perform the above-mentioned each provided turbine bearing pad temperature monitoring and early warning method, the method comprising: determining that the temperature of the bearing bush is normal based on real-time bearing bush temperature data and according to a preset temperature alarm threshold; determining a future bearing bush temperature predicted value according to a bearing bush temperature predicted formula based on the bearing bush temperature data; and determining whether the bearing bush has a risk of overhigh temperature or not according to a preset predicted temperature abnormity judgment rule based on a future bearing bush temperature predicted value.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and the parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium, such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods of the various embodiments or some parts of the embodiments.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.

Claims (10)

1. A temperature monitoring and early warning method for a water turbine bearing bush is characterized by comprising the following steps:
determining that the temperature of the bearing bush is normal based on real-time bearing bush temperature data and according to a preset temperature alarm threshold;
determining a future bearing bush temperature predicted value according to a bearing bush temperature predicted formula based on the bearing bush temperature data;
and determining whether the bearing bush has a risk of overhigh temperature or not according to a preset predicted temperature abnormity judgment rule based on the future bearing bush temperature predicted value.
2. The water turbine bearing shell temperature monitoring and early warning method according to claim 1, wherein the step of determining whether the bearing shell has a risk of having an excessively high temperature based on the future bearing shell temperature predicted value according to a preset predicted temperature abnormality judgment rule specifically comprises the steps of:
judging whether the future bearing bush temperature predicted value is greater than a preset predicted alarm threshold value or not according to a preset predicted temperature abnormity judgment rule;
and if the predicted value of the future bearing bush temperature is greater than a preset prediction alarm threshold value, determining that the bearing bush has a risk of overhigh temperature, and sending out prediction alarm information of overhigh temperature of the bearing bush.
3. The method for monitoring and warning the temperature of the bearing bush of the water turbine as claimed in claim 1 or 2, wherein before the step of determining a future bearing bush temperature prediction value according to a bearing bush temperature prediction formula based on the bearing bush temperature data, the method further comprises: determining a bearing bush temperature prediction formula;
the determining of the bearing bush temperature prediction formula specifically includes:
constructing an expression of a bearing bush temperature prediction formula through parametric analysis;
fitting an expression of the bearing bush temperature prediction formula based on historical bearing bush temperature data to determine a fitting coefficient value;
and substituting the fitting coefficient value into an expression of the bearing bush temperature prediction formula to determine the bearing bush temperature prediction formula.
4. The water turbine bearing shell temperature monitoring and early warning method as claimed in claim 3, wherein the step of constructing an expression of a bearing shell temperature prediction formula through parametric analysis specifically comprises the steps of:
constructing a bearing bush temperature-time relational expression and a bearing bush-rotating speed relational expression through parametric analysis;
and determining an expression of a bearing bush temperature prediction formula based on the bearing bush temperature-time relation and the bearing bush-rotating speed relation.
5. The method for monitoring and warning the temperature of the bearing bush of the water turbine as claimed in claim 3, further comprising, after the step of determining the prediction formula of the bearing bush temperature: iteratively updating the bearing bush temperature prediction formula;
the iteratively updating the bearing bush temperature prediction formula specifically includes:
determining an updated fitting coefficient value according to the bearing bush temperature prediction formula based on real-time bearing bush temperature data and real-time water turbine rotation speed data;
and substituting the updated fitting coefficient value into an expression of the bearing bush temperature prediction formula to determine the updated bearing bush temperature prediction formula.
6. The water turbine bearing shell temperature monitoring and early warning method as claimed in claim 5, wherein the step of determining a future bearing shell temperature prediction value based on the bearing shell temperature data and according to a bearing shell temperature prediction formula specifically comprises:
determining a prediction moment based on the real-time bearing bush temperature data;
and substituting the predicted time into the updated bearing bush temperature prediction formula under the condition that the rotating speed of the water turbine is not changed at the predicted time, and calculating to obtain a future bearing bush temperature predicted value.
7. The water turbine bearing shell temperature monitoring and early warning method as claimed in claim 5, wherein the step of determining a future bearing shell temperature prediction value based on the bearing shell temperature data according to a bearing shell temperature prediction formula specifically comprises
Determining a prediction moment based on the real-time bearing bush temperature data;
determining the rotating speed of the water turbine at the forecasting moment under the condition that the rotating speed of the water turbine changes at the forecasting moment;
updating the bearing bush temperature prediction formula based on the water turbine rotating speed at the prediction moment and the real-time bearing bush temperature data, and determining a target bearing bush prediction formula;
and substituting the prediction time into a target bearing bush temperature prediction formula, and calculating to obtain a future bearing bush temperature prediction value.
8. The utility model provides a hydraulic turbine axle bush temperature monitoring early warning system which characterized in that includes: the device comprises a bearing bush temperature monitoring unit, a bearing bush temperature prediction unit and a bearing bush temperature early warning unit;
the bearing bush temperature monitoring unit is used for determining that the temperature of the bearing bush is normal based on real-time bearing bush temperature data and according to a preset temperature alarm threshold;
the bearing bush temperature prediction unit is used for determining a future bearing bush temperature prediction value according to a bearing bush temperature prediction formula based on the bearing bush temperature data;
and the bearing bush temperature early warning unit is used for determining whether the bearing bush has a risk of overhigh temperature or not according to a preset predicted temperature abnormity judgment rule based on the future bearing bush temperature predicted value.
9. An electronic device, comprising a memory and a processor, wherein the processor and the memory communicate with each other through a bus; the memory stores program instructions executable by the processor, and the processor calls the program instructions to execute the turbine bearing temperature monitoring and early warning method according to any one of claims 1 to 7.
10. A non-transitory computer readable storage medium having a computer program stored thereon, wherein the computer program when executed by a processor implements the turbine bearing liner temperature monitoring and warning method according to any one of claims 1 to 7.
CN202210543162.4A 2022-05-19 2022-05-19 Water turbine bearing bush temperature monitoring and early warning method and system Pending CN114993511A (en)

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Application Number Priority Date Filing Date Title
CN202210543162.4A CN114993511A (en) 2022-05-19 2022-05-19 Water turbine bearing bush temperature monitoring and early warning method and system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202210543162.4A CN114993511A (en) 2022-05-19 2022-05-19 Water turbine bearing bush temperature monitoring and early warning method and system

Publications (1)

Publication Number Publication Date
CN114993511A true CN114993511A (en) 2022-09-02

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