CN112696326A - Method for monitoring damage of foundation of wind driven generator - Google Patents
Method for monitoring damage of foundation of wind driven generator Download PDFInfo
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- CN112696326A CN112696326A CN202110091255.3A CN202110091255A CN112696326A CN 112696326 A CN112696326 A CN 112696326A CN 202110091255 A CN202110091255 A CN 202110091255A CN 112696326 A CN112696326 A CN 112696326A
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
- F03D—WIND MOTORS
- F03D17/00—Monitoring or testing of wind motors, e.g. diagnostics
Abstract
The embodiment of the invention discloses a method for monitoring damage of a foundation of a wind driven generator, and particularly relates to the field of wind driven generators. The inclination of the tower barrel is monitored by arranging a bidirectional inclination angle sensor at the joint of each tower barrel on the upper part, a data acquisition device is arranged in the tower barrel and is respectively and communicatively connected with each sensor and a terminal computer through a data input circuit, signals of each sensor are converted into data of each sensor and are sent to the terminal computer, the inclination angle signals are subjected to non-stationary output response caused by environmental factors by using a wavelet transform or HHT method, most of non-stationary signals in practical application are subjected to stationary processing, noise pollution is reduced, the inclination angle is converted into displacement through a corner equation, and therefore the displacement value of the top of the tower barrel is obtained, and the displacement average is accurate displacement of the top of the tower; and identifying the damage by using a neural network genetic algorithm based on a time domain, and alarming when the damage exceeds a specified limit value.
Description
Technical Field
The embodiment of the invention relates to the field of wind driven generators, in particular to a method for monitoring damage of a foundation of a wind driven generator.
Background
The wind power generator is an electric power device which converts wind energy into mechanical work, and the mechanical work drives a rotor to rotate so as to finally output alternating current. During the use process of the wind driven generator, certain damage is caused, equipment is needed to monitor the damage degree, and the influence on the normal use of the wind driven generator is avoided.
The prior art has the following defects: the environment that aerogenerator used is all outdoor, and outdoor external environment is complicated, and monitoring facilities's data transfer receives external environment influence easily to lead to when transmitting data, appear data fluctuation, influence the monitoring result of equipment.
Disclosure of Invention
Therefore, the embodiment of the invention provides a method for monitoring the damage of the foundation of a wind driven generator, wherein a bidirectional inclination angle sensor is arranged at the joint of each upper tower barrel to monitor the inclination of the tower barrels, a data acquisition device is arranged in each tower barrel and is respectively connected with each sensor through a data input line, and is in communication connection with a terminal computer through a data output line, so that signals of each sensor can be converted into data of each sensor and sent to the terminal computer. Processing non-stationary output response caused by environmental factors by utilizing a wavelet transform or HHT method for the dip angle signals, performing stationary processing on most non-stationary signals in practical application, reducing noise pollution, and converting the dip angle into displacement through a deflection corner equation so as to obtain a displacement value at the top of the tower, wherein the displacement average is accurate displacement of the tower top; and identifying the foundation damage of the wind driven generator by utilizing a neural network genetic algorithm based on a time domain, and alarming when the foundation damage exceeds a specified limit value.
In order to achieve the above object, the embodiments of the present invention provide the following technical solutions: a wind driven generator foundation damage monitoring method comprises the following steps:
the method comprises the following steps: measuring the height of a tower drum of a wind turbine generator by using a measuring tool, and then arranging a bidirectional inclination angle sensor at the joint of each tower drum at the upper part to monitor the inclination of the tower drums;
step two: a data acquisition device is arranged in the tower drum of the fan generator at a height corresponding to the two-way tilt angle sensors and is respectively connected with each two-way tilt angle sensor through a data input line;
step three: after the data acquisition device is connected with the bidirectional inclination angle sensor, repeatedly testing the data output of the data acquisition device and the bidirectional inclination angle sensor, detecting whether the data output is normal or not, and if the data output is abnormal, detecting each interface of a data input line and maintaining until normal data transmission can be carried out between the data acquisition device and the bidirectional inclination angle sensor;
step four: the bidirectional tilt sensor is in communication connection with a terminal computer through a data output line, repeatedly detects the condition that signals of the bidirectional tilt sensor are converted into data, and then sends the data to the terminal computer;
step five: when non-stationary output response occurs in the data transmission process, the non-stationary output response caused by environmental factors can be processed by utilizing a wavelet transform or HHT method through the inclination angle signal, most of non-stationary signals in practical application are subjected to stationary processing, and noise pollution is reduced;
step six: converting the inclination angle data detected by the multiple groups of bidirectional inclination angle sensors into multiple groups of displacement data through a deflection corner equation, obtaining multiple groups of displacement data as displacement values of the top of the tower of the wind driven generator, and calculating average data through the multiple groups of displacement data to obtain accurate displacement of the tower top;
step seven: and identifying the basic damage of the wind driven generator by utilizing a time domain-based neural network genetic algorithm according to the calculated accurate displacement data of the tower top, and starting an alarm by an internal alarm of the host when the damage of the detected part exceeds a specified limit value to remind a worker to process in time.
Furthermore, the measuring tool for measuring the height of the tower drum of the wind turbine generator in the first step is an ultrasonic altimeter, and 2-3 bidirectional inclination angle sensors are installed at the connecting position of each tower drum.
Furthermore, each data acquisition device in the second step is connected with 8-10 bidirectional inclination angle sensors through a data input line, and the data acquisition devices in the second step are fixedly installed inside the tower barrel of the wind turbine generator through fixing bolts.
Furthermore, the number of times of testing data between the data acquisition device and the bidirectional tilt sensor in the third step is 3-5, the time of each test is 10min-15min, and the data acquisition device and the bidirectional tilt sensor in the third step are in communication connection through a data input line.
Furthermore, the number of times of converting the signals of the bidirectional tilt sensor into data in the fourth step is 5-8, and the data acquisition device is in communication connection with the terminal computer through a data output line.
Further, the environmental factors in the fifth step are weather, noise, radiation, and the like.
Further, in the sixth step, the inclination angle data detected by 5-8 groups of bidirectional inclination angle sensors are converted into displacement data through a deflection angle equation, and in the sixth step, the highest value and the lowest value in multiple groups of data are removed when the average data is calculated through multiple groups of data.
Furthermore, the seventh alarm is fixed on the outer surface of the main machine shell, and the output end of the main machine in the seventh alarm is in communication connection with the alarm.
Further, the working environment data in the step eight includes air quality, air humidity and weather conditions, and the detection period of the wind driven generator is set to be 3-5 days/time in the step eight.
The embodiment of the invention has the following advantages:
the inclination of the tower barrel is monitored by arranging a bidirectional inclination angle sensor at the joint of each tower barrel on the upper part, a data acquisition device is arranged in the tower barrel and is respectively and communicatively connected with each sensor and a terminal computer through a data input circuit, signals of each sensor are converted into data of each sensor and are sent to the terminal computer, the inclination angle signals are subjected to non-stationary output response caused by environmental factors by using a wavelet transform or HHT method, most of non-stationary signals in practical application are subjected to stationary processing, noise pollution is reduced, the inclination angle is converted into displacement through a corner equation, and therefore the displacement value of the top of the tower barrel is obtained, and the displacement average is accurate displacement of the top of the tower; and identifying the damage by using a neural network genetic algorithm based on a time domain, and alarming when the damage exceeds a specified limit value.
Detailed Description
The present invention is described in terms of particular embodiments, other advantages and features of the invention will become apparent to those skilled in the art from the following disclosure, and it is to be understood that the described embodiments are merely exemplary of the invention and that it is not intended to limit the invention to the particular embodiments disclosed. 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.
Example 1:
the method for monitoring the damage of the foundation of the wind driven generator comprises the following steps:
the method comprises the following steps: measuring the height of a tower drum of a wind turbine generator by using a measuring tool, and then arranging a bidirectional inclination angle sensor at the joint of each tower drum at the upper part to monitor the inclination of the tower drums;
step two: a data acquisition device is arranged in the tower drum of the fan generator at a height corresponding to the two-way tilt angle sensors and is respectively connected with each two-way tilt angle sensor through a data input line;
step three: after the data acquisition device is connected with the bidirectional inclination angle sensor, repeatedly testing the data output of the data acquisition device and the bidirectional inclination angle sensor, detecting whether the data output is normal or not, and if the data output is abnormal, detecting each interface of a data input line and maintaining until normal data transmission can be carried out between the data acquisition device and the bidirectional inclination angle sensor;
step four: the bidirectional tilt sensor is in communication connection with a terminal computer through a data output line, repeatedly detects the condition that signals of the bidirectional tilt sensor are converted into data, and then sends the data to the terminal computer;
step five: when non-stationary output response occurs in the data transmission process, the non-stationary output response caused by environmental factors can be processed by utilizing a wavelet transform or HHT method through the inclination angle signal, most of non-stationary signals in practical application are subjected to stationary processing, and noise pollution is reduced;
step six: converting the inclination angle data detected by the multiple groups of bidirectional inclination angle sensors into multiple groups of displacement data through a deflection corner equation, obtaining multiple groups of displacement data as displacement values of the top of the tower of the wind driven generator, and calculating average data through the multiple groups of displacement data to obtain accurate displacement of the tower top;
step seven: and identifying the basic damage of the wind driven generator by utilizing a time domain-based neural network genetic algorithm according to the calculated accurate displacement data of the tower top, and starting an alarm by an internal alarm of the host when the damage of the detected part exceeds a specified limit value to remind a worker to process in time.
Further, the measuring tool for measuring the height of the tower drum of the wind turbine generator in the first step is an ultrasonic altimeter, and 3 bidirectional inclination angle sensors are mounted at the joint of each tower drum.
Furthermore, each data acquisition device in the second step is connected with 10 bidirectional inclination angle sensors through a data input line, and the data acquisition devices in the second step are fixedly installed inside the tower barrel of the wind turbine generator through fixing bolts.
Furthermore, the number of times of testing data between the data acquisition device and the bidirectional tilt sensor in the third step is 5, and the time of each test is 15min, and the data acquisition device and the bidirectional tilt sensor in the third step are in communication connection through a data input line.
Furthermore, the number of times of converting the signals of the bidirectional tilt sensor into data in the fourth step is 8, and the data acquisition device is in communication connection with the terminal computer through a data output line.
Further, the environmental factors in the fifth step are weather, noise, radiation, and the like.
Further, in the sixth step, the inclination angle data detected by 8 groups of bidirectional inclination angle sensors is converted into displacement data through a deflection angle equation, and in the sixth step, the highest value and the lowest value in the multiple groups of data are removed when the average data is calculated through the multiple groups of data.
Furthermore, the seventh alarm is fixed on the outer surface of the main machine shell, and the output end of the main machine in the seventh alarm is in communication connection with the alarm.
Further, the working environment data in the step eight includes air quality, air humidity and weather conditions, and the detection period of the wind driven generator in the step eight is set to be 5 days/time.
Example 2:
a wind driven generator foundation damage monitoring method comprises the following steps:
the method comprises the following steps: measuring the height of a tower drum of a wind turbine generator by using a measuring tool, and then arranging a bidirectional inclination angle sensor at the joint of each tower drum at the upper part to monitor the inclination of the tower drums;
step two: a data acquisition device is arranged in the tower drum of the fan generator at a height corresponding to the two-way tilt angle sensors and is respectively connected with each two-way tilt angle sensor through a data input line;
step three: after the data acquisition device is connected with the bidirectional inclination angle sensor, repeatedly testing the data output of the data acquisition device and the bidirectional inclination angle sensor, detecting whether the data output is normal or not, and if the data output is abnormal, detecting each interface of a data input line and maintaining until normal data transmission can be carried out between the data acquisition device and the bidirectional inclination angle sensor;
step four: the bidirectional tilt sensor is in communication connection with a terminal computer through a data output line, repeatedly detects the condition that signals of the bidirectional tilt sensor are converted into data, and then sends the data to the terminal computer;
step five: when non-stationary output response occurs in the data transmission process, the non-stationary output response caused by environmental factors can be processed by utilizing a wavelet transform or HHT method through the inclination angle signal, most of non-stationary signals in practical application are subjected to stationary processing, and noise pollution is reduced;
step six: converting the inclination angle data detected by the multiple groups of bidirectional inclination angle sensors into multiple groups of displacement data through a deflection corner equation, obtaining multiple groups of displacement data as displacement values of the top of the tower of the wind driven generator, and calculating average data through the multiple groups of displacement data to obtain accurate displacement of the tower top;
step seven: and identifying the basic damage of the wind driven generator by utilizing a time domain-based neural network genetic algorithm according to the calculated accurate displacement data of the tower top, and starting an alarm by an internal alarm of the host when the damage of the detected part exceeds a specified limit value to remind a worker to process in time.
Further, the measuring tool for measuring the height of the tower drum of the wind turbine generator in the first step is an ultrasonic altimeter, and 2 bidirectional inclination angle sensors are mounted at the joint of each tower drum.
Furthermore, each data acquisition device in the second step is connected with 8 bidirectional inclination angle sensors through a data input line, and the data acquisition devices in the second step are fixedly installed inside the tower barrel of the wind turbine generator through fixing bolts.
Furthermore, the number of times of testing data between the data acquisition device and the bidirectional tilt sensor in the third step is 3, the time of each test is 10min, and the data acquisition device and the bidirectional tilt sensor in the third step are in communication connection through a data input line.
Furthermore, the number of times of converting the signals of the bidirectional tilt sensor into data in the fourth step is 5, and the data acquisition device is in communication connection with the terminal computer through a data output line.
Further, the environmental factors in the fifth step are weather, noise, radiation, and the like.
Further, in the sixth step, the inclination angle data detected by the 5 groups of bidirectional inclination angle sensors are converted into displacement data through a deflection angle equation, and in the sixth step, the highest value and the lowest value in the multiple groups of data are removed when the average data is calculated through the multiple groups of data.
Furthermore, the seventh alarm is fixed on the outer surface of the main machine shell, and the output end of the main machine in the seventh alarm is in communication connection with the alarm.
Further, the working environment data in the step eight includes air quality, air humidity and weather conditions, and the detection period of the wind turbine generator is set to be 3 days/time in the step eight.
Example 3:
a wind driven generator foundation damage monitoring method comprises the following steps:
the method comprises the following steps: measuring the height of a tower drum of a wind turbine generator by using a measuring tool, and then arranging a bidirectional inclination angle sensor at the joint of each tower drum at the upper part to monitor the inclination of the tower drums;
step two: a data acquisition device is arranged in the tower drum of the fan generator at a height corresponding to the two-way tilt angle sensors and is respectively connected with each two-way tilt angle sensor through a data input line;
step three: after the data acquisition device is connected with the bidirectional inclination angle sensor, repeatedly testing the data output of the data acquisition device and the bidirectional inclination angle sensor, detecting whether the data output is normal or not, and if the data output is abnormal, detecting each interface of a data input line and maintaining until normal data transmission can be carried out between the data acquisition device and the bidirectional inclination angle sensor;
step four: the bidirectional tilt sensor is in communication connection with a terminal computer through a data output line, repeatedly detects the condition that signals of the bidirectional tilt sensor are converted into data, and then sends the data to the terminal computer;
step five: when non-stationary output response occurs in the data transmission process, the non-stationary output response caused by environmental factors can be processed by utilizing a wavelet transform or HHT method through the inclination angle signal, most of non-stationary signals in practical application are subjected to stationary processing, and noise pollution is reduced;
step six: converting the inclination angle data detected by the multiple groups of bidirectional inclination angle sensors into multiple groups of displacement data through a deflection corner equation, obtaining multiple groups of displacement data as displacement values of the top of the tower of the wind driven generator, and calculating average data through the multiple groups of displacement data to obtain accurate displacement of the tower top;
step seven: and identifying the basic damage of the wind driven generator by utilizing a time domain-based neural network genetic algorithm according to the calculated accurate displacement data of the tower top, and starting an alarm by an internal alarm of the host when the damage of the detected part exceeds a specified limit value to remind a worker to process in time.
Further, the measuring tool for measuring the height of the tower drum of the wind turbine generator in the first step is an ultrasonic altimeter, and 2 bidirectional inclination angle sensors are mounted at the joint of each tower drum.
Furthermore, each data acquisition device in the second step is connected with 9 bidirectional inclination angle sensors through a data input line, and the data acquisition devices in the second step are fixedly installed inside the tower barrel of the wind turbine generator through fixing bolts.
Furthermore, the number of times of testing data between the data acquisition device and the bidirectional tilt sensor in the third step is 4, the time of each test is 12min, and the data acquisition device and the bidirectional tilt sensor in the third step are in communication connection through a data input line.
Furthermore, the number of times of converting the signals of the bidirectional tilt sensor into data in the fourth step is 6, and the data acquisition device is in communication connection with the terminal computer through a data output line.
Further, the environmental factors in the fifth step are weather, noise, radiation, and the like.
Further, in the sixth step, the inclination angle data detected by 6 groups of bidirectional inclination angle sensors are converted into displacement data through a deflection angle equation, and in the sixth step, the highest value and the lowest value in the multiple groups of data are removed when the average data is calculated through the multiple groups of data.
Furthermore, the seventh alarm is fixed on the outer surface of the main machine shell, and the output end of the main machine in the seventh alarm is in communication connection with the alarm.
Further, the working environment data in the step eight includes air quality, air humidity and weather conditions, and the detection period of the wind turbine generator in the step eight is set to be 4 days/time.
Example 4:
the wind power generators were damaged by the methods of examples 1 to 3, and the data detected in examples 1 to 3 were compared to obtain the following data:
as can be seen from the above table, the damage monitoring method in embodiment 3 makes the probability of the wind turbine generator failing small, and at the same time, the influence of the environmental factors on the data detection is small, and the accuracy is high.
Although the invention has been described in detail above with reference to a general description and specific examples, it will be apparent to one skilled in the art that modifications or improvements may be made thereto based on the invention. Accordingly, such modifications and improvements are intended to be within the scope of the invention as claimed.
Claims (9)
1. A wind driven generator foundation damage monitoring method is characterized by comprising the following steps: the method comprises the following steps:
the method comprises the following steps: measuring the height of a tower drum of a wind turbine generator by using a measuring tool, and then arranging a bidirectional inclination angle sensor at the joint of each tower drum at the upper part to monitor the inclination of the tower drums;
step two: a data acquisition device is arranged in the tower drum of the fan generator at a height corresponding to the two-way tilt angle sensors and is respectively connected with each two-way tilt angle sensor through a data input line;
step three: after the data acquisition device is connected with the bidirectional inclination angle sensor, repeatedly testing the data output of the data acquisition device and the bidirectional inclination angle sensor, detecting whether the data output is normal or not, and if the data output is abnormal, detecting each interface of a data input line and maintaining until normal data transmission can be carried out between the data acquisition device and the bidirectional inclination angle sensor;
step four: the bidirectional tilt sensor is in communication connection with a terminal computer through a data output line, repeatedly detects the condition that signals of the bidirectional tilt sensor are converted into data, and then sends the data to the terminal computer;
step five: when non-stationary output response occurs in the data transmission process, the non-stationary output response caused by environmental factors can be processed by utilizing a wavelet transform or HHT method through the inclination angle signal, most of non-stationary signals in practical application are subjected to stationary processing, and noise pollution is reduced;
step six: converting the inclination angle data detected by the multiple groups of bidirectional inclination angle sensors into multiple groups of displacement data through a deflection corner equation, obtaining multiple groups of displacement data as displacement values of the top of the tower of the wind driven generator, and calculating average data through the multiple groups of displacement data to obtain accurate displacement of the tower top;
step seven: and identifying the basic damage of the wind driven generator by utilizing a time domain-based neural network genetic algorithm according to the calculated accurate displacement data of the tower top, and starting an alarm by an internal alarm of the host when the damage of the detected part exceeds a specified limit value to remind a worker to process in time.
2. The method for monitoring damage to the foundation of a wind turbine generator as claimed in claim 1, wherein: and in the first step, the measuring tool for measuring the height of the tower drum of the fan generator is an ultrasonic altimeter, and 2-3 bidirectional inclination angle sensors are arranged at the joint of each tower drum.
3. The method for monitoring damage to the foundation of a wind turbine generator as claimed in claim 1, wherein: and each data acquisition device in the second step is connected with 8-10 bidirectional tilt angle sensors through a data input circuit, and the data acquisition devices in the second step are fixedly installed inside the tower drum of the fan generator through fixing bolts.
4. The method for monitoring damage to the foundation of a wind turbine generator as claimed in claim 1, wherein: the test times of data between the data acquisition device and the bidirectional inclination angle sensor in the third step are 3-5 times, the test time is 10min-15min, and the data acquisition device and the bidirectional inclination angle sensor in the third step are in communication connection through a data input line.
5. The method for monitoring damage to the foundation of a wind turbine generator as claimed in claim 1, wherein: and in the fourth step, the frequency of converting the signals of the bidirectional tilt angle sensor into data is 5-8, and the data acquisition device is in communication connection with the terminal computer through a data output line.
6. The method for monitoring damage to the foundation of a wind turbine generator as claimed in claim 1, wherein: and the environment factors in the step five include weather, noise, radiation and the like.
7. The method for monitoring damage to the foundation of a wind turbine generator as claimed in claim 1, wherein: and in the sixth step, the inclination angle data detected by 5-8 groups of bidirectional inclination angle sensors are converted into displacement data through a deflection corner equation, and the highest value and the lowest value in the multiple groups of data are removed when the average data is calculated through the multiple groups of data.
8. The method for monitoring damage to the foundation of a wind turbine generator as claimed in claim 1, wherein: and the seventh alarm is fixed on the outer surface of the host shell, and the output end of the host is in communication connection with the alarm in the seventh step.
9. The method for monitoring damage to the foundation of a wind turbine generator as claimed in claim 1, wherein: and the working environment data in the step eight comprises air quality, air humidity and weather conditions, and the detection period of the wind driven generator is set to be 3-5 days/time in the step eight.
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Address after: 718500 shangcaochengmao formation, sanchaqu village, Dongkeng Town, Jingbian County, Yulin City, Shaanxi Province Applicant after: Guodian Shaanxi jishanliang wind power plant Applicant after: CHANGSHA University OF SCIENCE AND TECHNOLOGY Address before: Yuntang campus of Changsha University of technology, no.960, Section 2, Wanjiali South Road, Tianxin District, Changsha City, Hunan Province, 410114 Applicant before: CHANGSHA University OF SCIENCE AND TECHNOLOGY Applicant before: Guodian Shaanxi jishanliang wind power plant |
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