CN117536803A - Dynamic monitoring method for tower structure safety of wind generating set - Google Patents
Dynamic monitoring method for tower structure safety of wind generating set Download PDFInfo
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Abstract
The invention relates to the technical field of wind generating set towers, and discloses a wind generating set tower structure safety dynamic monitoring method, which comprises the following steps: s1, collecting data: the method comprises the steps of collecting structural data of a tower barrel of a wind generating set through a sensor and monitoring equipment, wherein the structural data comprise vibration, displacement, speed and acceleration parameters of the tower barrel; s2, data processing: processing the acquired data, including filtering, denoising and data normalization operations, so as to improve the quality and accuracy of the data; s3, feature extraction: and extracting features related to the safety of the tower structure from the processed data, wherein the features comprise time domain features, frequency domain features and statistical features. According to the method, the vibration characteristic value of the tower structure is obtained by extracting the characteristics of the frequency domain signals; and comparing the vibration characteristic value with a preset threshold value, and comprehensively and deeply analyzing the safety state of the tower barrel structure according to the comparison result.
Description
Technical Field
The invention relates to the technical field of wind generating set towers, in particular to a method for dynamically monitoring the safety of a wind generating set tower structure.
Background
Wind power generation has become an important component in the field of renewable energy, and the tower structure of a wind generating set is one of key components of the whole system. In order to ensure the reliability and safety of the wind generating set, it becomes important to dynamically monitor the tower structure.
Currently, common structure monitoring techniques mainly include vibration monitoring, strain monitoring, and temperature monitoring. Vibration monitoring generally uses an acceleration sensor to acquire vibration mode parameters of a structure; strain monitoring, namely acquiring strain information of a structure through a strain sensor; while temperature monitoring helps to understand the operational state of the structure under different environmental conditions.
Although some monitoring technologies are applied to tower structures of wind generating sets, problems and challenges still exist, and the traditional monitoring method is difficult to comprehensively and deeply analyze the health condition of the structures; in addition, the real-time performance of the monitoring data and the difficulty of big data processing are high.
Disclosure of Invention
In order to make up for the defects, the invention provides a wind generating set tower structure safety dynamic monitoring method, aiming at improving the problem that the comprehensive and deep analysis on the health condition of the structure is difficult in the prior art; the real-time performance of the monitoring data and the difficulty of big data processing are high.
In order to achieve the above purpose, the present invention adopts the following technical scheme: a wind generating set tower structure safety dynamic monitoring method comprises the following steps:
s1, collecting data: the method comprises the steps of collecting structural data of a tower barrel of a wind generating set through a sensor and monitoring equipment, wherein the structural data comprise vibration, displacement, speed and acceleration parameters of the tower barrel;
s2, data processing: processing the acquired data, including filtering, denoising and data normalization operations, so as to improve the quality and accuracy of the data;
s3, feature extraction: extracting features related to the structural safety of the tower from the processed data, wherein the features comprise time domain features, frequency domain features and statistical features;
s4, model prediction: inputting the data acquired in real time into a trained model for prediction to obtain an evaluation result of the structural safety of the tower;
s5, alarming and prompting: if the predicted result is abnormal or has potential safety hazards, the system automatically alarms and prompts a user to take corresponding measures for maintenance and investigation;
s6, data storage: storing the collected and processed data in a database for subsequent data analysis and history inquiry;
s7, data analysis: further analyzing the data stored in the database according to the need, evaluating the health state of the tower structure, and predicting the future development trend of the tower structure;
s8, a user interface: the monitoring system is conveniently set, controlled and monitored, and the user interface comprises data display, alarm prompt and model training progress information;
s9, system integration: the monitoring system is integrated with the control system of the wind generating set, so that data sharing and linkage control are realized, and when the potential safety hazard of the tower structure is monitored, the system sends an alarm to the control system and controls the shutdown operation of the wind generating set in parallel.
As a further description of the above technical solution:
the S1 data acquisition comprises the following steps:
s101, installing sensors on a tower structure of a wind generating set, wherein the sensors comprise, but are not limited to, a displacement sensor, a speed sensor, an acceleration sensor, a pressure sensor and a temperature sensor;
s102, acquiring sensor data through data acquisition equipment, wherein the data acquisition equipment comprises, but is not limited to, a data acquisition card, network communication equipment and cloud data storage equipment;
s103, encrypting the acquired sensor data through a secure encryption technology to prevent data leakage and tampering;
s104, the encrypted sensor data is transmitted to a data processing center through a wireless network or a wired network.
As a further description of the above technical solution:
the S2 data processing comprises the following steps:
s201, sorting the data obtained in the step S1, arranging the data according to a time sequence, and removing abnormal data;
s202, filtering the data obtained in the step S1 to eliminate noise in the data;
s203, classifying and predicting the characteristics by using a support vector machine learning algorithm to obtain a classification result and a prediction result of the tower structure safety of the wind generating set;
s204, carrying out post-processing on the classification result and the prediction result, visualizing the classification result and the prediction result, and outputting the classification result and the prediction result to a user.
As a further description of the above technical solution:
the S3 feature extraction comprises the following steps:
s301, acquiring vibration signals of a tower structure by using an acceleration sensor, and transmitting the acquired signals to a data acquisition card;
s302, processing signals through a data acquisition card, and converting time domain signals into frequency domain signals by utilizing Fourier transformation;
s303, extracting features of the frequency domain signals to obtain vibration feature values of the tower structure;
s304, comparing the vibration characteristic value with a preset threshold value, and judging the safety state of the tower structure according to the comparison result.
As a further description of the above technical solution:
the S4 model prediction comprises the following steps:
s401, establishing a safe dynamic monitoring model of a tower structure of the wind generating set, wherein the model comprises a historical data model, a wind speed prediction model and a tower vibration model;
s402, based on a historical data model, utilizing historical wind speed data and tower vibration data to perform data training and model optimization to obtain a historical data model;
s403, based on a wind speed prediction model, carrying out data training and model optimization by utilizing wind speed prediction data and tower vibration data to obtain the wind speed prediction model;
s404, based on the tower vibration model, utilizing the tower vibration data and the wind speed data to perform data training and model optimization to obtain the tower vibration model.
As a further description of the above technical solution:
the S5 alarm prompt comprises the following steps:
s501, comparing a predicted result with a preset safety threshold, and triggering an alarm prompt if the predicted result exceeds the safety threshold;
s502, calculating a safety risk index according to a prediction result and a preset safety threshold value, wherein the higher the safety risk index is, the greater the possibility that potential safety hazards exist in the tower structure is;
s503, according to the safety risk index, sending an alarm prompt to a user in an acousto-optic mode to remind the user to take maintenance and investigation measures in time.
As a further description of the above technical solution:
the S6 data storage comprises the following steps:
s601, storing acquired data and processed data in a database, wherein the database comprises a relational database and a non-relational database;
s602, carrying out backup and encryption processing on data stored in a database so as to prevent data loss and leakage;
s603, exporting the data stored in the database into CSV and Excel formats according to the need, so that subsequent data analysis and history record inquiry are facilitated.
As a further description of the above technical solution:
the S7 data analysis comprises the following steps:
s701, selecting a proper data analysis method according to the need, such as time sequence analysis, regression analysis and cluster analysis;
s702, further analyzing the data stored in the database, and extracting characteristics and trends related to the structural safety of the tower;
s703, visually displaying the analysis result to the user, such as a line graph, a bar graph, a thermodynamic diagram
As a further description of the above technical solution:
the S8 user interface comprises the following steps:
s801, displaying monitoring data and alarm prompt information in real time;
s802, supporting a user to set and control a monitoring system through an interface, such as setting an alarm threshold value and selecting a data analysis method;
s803, providing historical data query and report generation functions, and facilitating data analysis and decision making for users
As a further description of the above technical solution:
the S9 system integration comprises the following steps:
s901, integrating a monitoring system with a control system of a wind generating set to realize sharing and linkage control of data;
s902, carrying out data interaction and instruction transmission with a control system through an OPC UA industrial communication protocol;
s903, when the potential safety hazard exists in the tower structure, the system automatically sends an alarm to the control system and controls the shutdown operation of the wind generating set in parallel.
The invention has the following beneficial effects:
1. according to the invention, the vibration signals of the tower barrel structure are acquired by utilizing the acceleration sensor, and the acquired signals are transmitted to the data acquisition card; processing the signals through a data acquisition card, and converting the time domain signals into frequency domain signals by utilizing Fourier transformation; extracting the characteristics of the frequency domain signals to obtain vibration characteristic values of the tower structure; and comparing the vibration characteristic value with a preset threshold value, and judging the comprehensive and deep analysis of the safety state of the tower structure according to the comparison result.
2. According to the method, data are arranged according to time sequence, and abnormal data are removed; filtering the data to eliminate noise in the data; classifying and predicting the characteristics by using a support vector machine learning algorithm to obtain a classification result and a prediction result of the tower structure safety of the wind generating set; and carrying out post-processing on the classification result and the prediction result, visualizing the classification result and the prediction result, and outputting the visualized classification result and the visualized prediction result to a user, thereby monitoring data in real time.
3. In the invention, the collected data and the processed data are stored in a database, wherein the database comprises a relational database and a non-relational database; the data stored in the database is backed up and encrypted to prevent data loss and leakage; the data stored in the database is exported into CSV and Excel formats according to the need, so that subsequent data analysis and historical record inquiry are facilitated, and the difficulty of large data processing is solved.
Drawings
FIG. 1 is a flow chart of the method of the present invention;
FIG. 2 is a flow chart of the method S1 of the present invention;
FIG. 3 is a flow chart of the method S2 of the present invention;
fig. 4 is a flow chart of the method S3 according to the invention.
FIG. 5 is a flow chart of the method S4 of the present invention;
FIG. 6 is a flow chart of the method S5 of the present invention;
FIG. 7 is a flow chart of the method S6 of the present invention;
FIG. 8 is a flow chart of the method S7 of the present invention;
FIG. 9 is a flow chart of the method S8 of the present invention;
FIG. 10 is a flow chart of the method S9 of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1-10, one embodiment provided by the present invention is: a wind generating set tower structure safety dynamic monitoring method comprises the following steps:
s1, collecting data: the method comprises the steps of collecting structural data of a tower barrel of a wind generating set through a sensor and monitoring equipment, wherein the structural data comprise vibration, displacement, speed and acceleration parameters of the tower barrel;
s1, collecting data, which comprises the following steps:
s101, installing sensors on a tower structure of the wind generating set, wherein the sensors comprise, but are not limited to, a displacement sensor, a speed sensor, an acceleration sensor, a pressure sensor and a temperature sensor.
S102, collecting sensor data through data collecting equipment, wherein the data collecting equipment comprises, but is not limited to, a data collecting card, network communication equipment and cloud data storage equipment.
S103, encrypting the acquired sensor data through a secure encryption technology to prevent data leakage and tampering.
S104, the encrypted sensor data is transmitted to a data processing center through a wireless network or a wired network.
S2, data processing: processing the acquired data, including filtering, denoising and data normalization operations, so as to improve the quality and accuracy of the data;
s2, data processing, which comprises the following steps:
s201, sorting the data obtained in the step S1, arranging the data according to a time sequence, and removing abnormal data;
s202, filtering the data obtained in the step S1 to eliminate noise in the data;
s203, classifying and predicting the characteristics by using a support vector machine learning algorithm to obtain a classification result and a prediction result of the tower structure safety of the wind generating set;
s204, carrying out post-processing on the classification result and the prediction result, visualizing the classification result and the prediction result, and outputting the classification result and the prediction result to a user.
S3, feature extraction: extracting features related to the structural safety of the tower from the processed data, wherein the features comprise time domain features, frequency domain features and statistical features;
s3, extracting features, comprising the following steps of:
s301, acquiring vibration signals of a tower structure by using an acceleration sensor, and transmitting the acquired signals to a data acquisition card;
s302, processing signals through a data acquisition card, and converting time domain signals into frequency domain signals by utilizing Fourier transformation;
s303, extracting features of the frequency domain signals to obtain vibration feature values of the tower structure;
s304, comparing the vibration characteristic value with a preset threshold value, and judging the safety state of the tower structure according to the comparison result.
S4, model prediction: inputting the data acquired in real time into a trained model for prediction to obtain an evaluation result of the structural safety of the tower;
s4, predicting a model, wherein the method comprises the following steps of:
s401, establishing a safe dynamic monitoring model of a tower structure of the wind generating set, wherein the model comprises a historical data model, a wind speed prediction model and a tower vibration model;
s402, based on a historical data model, utilizing historical wind speed data and tower vibration data to perform data training and model optimization to obtain a historical data model;
s403, based on a wind speed prediction model, carrying out data training and model optimization by utilizing wind speed prediction data and tower vibration data to obtain the wind speed prediction model;
s404, based on the tower vibration model, utilizing the tower vibration data and the wind speed data to perform data training and model optimization to obtain the tower vibration model.
S5, alarming and prompting: if the predicted result is abnormal or has potential safety hazards, the system automatically alarms and prompts a user to take corresponding measures for maintenance and investigation;
s5, alarming and prompting, comprising the following steps of:
s501, comparing a predicted result with a preset safety threshold, and triggering an alarm prompt if the predicted result exceeds the safety threshold;
s502, calculating a safety risk index according to a prediction result and a preset safety threshold value, wherein the higher the safety risk index is, the greater the possibility that potential safety hazards exist in the tower structure is;
s503, according to the safety risk index, sending an alarm prompt to a user in an acousto-optic mode to remind the user to take maintenance and investigation measures in time.
S6, data storage: storing the collected and processed data in a database for subsequent data analysis and history inquiry;
s6, data storage, comprising the following steps of:
s601, storing acquired data and processed data in a database, wherein the database comprises a relational database and a non-relational database;
s602, carrying out backup and encryption processing on data stored in a database so as to prevent data loss and leakage;
s603, exporting the data stored in the database into CSV and Excel formats according to the need, so that subsequent data analysis and history record inquiry are facilitated.
S7, data analysis: further analyzing the data stored in the database according to the need, evaluating the health state of the tower structure, and predicting the future development trend of the tower structure;
s7, data analysis, comprising the following steps of:
s701, selecting a proper data analysis method according to the need, such as time sequence analysis, regression analysis and cluster analysis;
s702, further analyzing the data stored in the database, and extracting characteristics and trends related to the structural safety of the tower;
s703, displaying the analysis result to a user in a visual mode, such as a line graph, a bar graph and a thermodynamic diagram.
S8, a user interface: the monitoring system is conveniently set, controlled and monitored, and the user interface comprises data display, alarm prompt and model training progress information;
s8 a user interface comprising the steps of:
s801, displaying monitoring data and alarm prompt information in real time;
s802, supporting a user to set and control a monitoring system through an interface, such as setting an alarm threshold value and selecting a data analysis method;
s803, historical data query and report generation functions are provided, so that a user can conveniently conduct data analysis and decision.
S9, system integration: the monitoring system is integrated with the control system of the wind generating set, so that data sharing and linkage control are realized, and when the potential safety hazard of the tower structure is monitored, the system sends an alarm to the control system and controls the shutdown operation of the wind generating set in parallel.
S9, system integration, comprising the following steps:
s901, integrating a monitoring system with a control system of a wind generating set to realize sharing and linkage control of data;
s902, carrying out data interaction and instruction transmission with a control system through an OPC UA industrial communication protocol;
s903, when the potential safety hazard exists in the tower structure, the system automatically sends an alarm to the control system and controls the shutdown operation of the wind generating set in parallel.
Finally, it should be noted that: the foregoing description of the preferred embodiments of the present invention is not intended to be limiting, but rather, although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that modifications and substitutions of some of the features described in the foregoing embodiments may be made, and any modifications, substitutions and improvements made within the spirit and principles of the present invention are intended to be included in the scope of the present invention.
Claims (10)
1. A wind generating set tower structure safety dynamic monitoring method is characterized in that: the method comprises the following steps:
s1, collecting data: the method comprises the steps of collecting structural data of a tower barrel of a wind generating set through a sensor and monitoring equipment, wherein the structural data comprise vibration, displacement, speed and acceleration parameters of the tower barrel;
s2, data processing: processing the acquired data, including filtering, denoising and data normalization operations, so as to improve the quality and accuracy of the data;
s3, feature extraction: extracting features related to the structural safety of the tower from the processed data, wherein the features comprise time domain features, frequency domain features and statistical features;
s4, model prediction: inputting the data acquired in real time into a trained model for prediction to obtain an evaluation result of the structural safety of the tower;
s5, alarming and prompting: if the predicted result is abnormal or has potential safety hazards, the system automatically alarms and prompts a user to take corresponding measures for maintenance and investigation;
s6, data storage: storing the collected and processed data in a database for subsequent data analysis and history inquiry;
s7, data analysis: further analyzing the data stored in the database according to the need, evaluating the health state of the tower structure, and predicting the future development trend of the tower structure;
s8, a user interface: the monitoring system is conveniently set, controlled and monitored, and the user interface comprises data display, alarm prompt and model training progress information;
s9, system integration: the monitoring system is integrated with the control system of the wind generating set, so that data sharing and linkage control are realized, and when the potential safety hazard of the tower structure is monitored, the system sends an alarm to the control system and controls the shutdown operation of the wind generating set in parallel.
2. The method for dynamically monitoring the safety of the tower structure of the wind generating set according to claim 1, wherein the method comprises the following steps of: the S1 data acquisition comprises the following steps:
s101, installing sensors on a tower structure of a wind generating set, wherein the sensors comprise, but are not limited to, a displacement sensor, a speed sensor, an acceleration sensor, a pressure sensor and a temperature sensor;
s102, acquiring sensor data through data acquisition equipment, wherein the data acquisition equipment comprises, but is not limited to, a data acquisition card, network communication equipment and cloud data storage equipment;
s103, encrypting the acquired sensor data through a secure encryption technology to prevent data leakage and tampering;
s104, the encrypted sensor data is transmitted to a data processing center through a wireless network or a wired network.
3. The method for dynamically monitoring the safety of the tower structure of the wind generating set according to claim 1, wherein the method comprises the following steps of: the S2 data processing comprises the following steps:
s201, sorting the data obtained in the step S1, arranging the data according to a time sequence, and removing abnormal data;
s202, filtering the data obtained in the step S1 to eliminate noise in the data;
s203, classifying and predicting the characteristics by using a support vector machine learning algorithm to obtain a classification result and a prediction result of the tower structure safety of the wind generating set;
s204, carrying out post-processing on the classification result and the prediction result, visualizing the classification result and the prediction result, and outputting the classification result and the prediction result to a user.
4. The method for dynamically monitoring the safety of the tower structure of the wind generating set according to claim 1, wherein the method comprises the following steps of: the S3 feature extraction comprises the following steps:
s301, acquiring vibration signals of a tower structure by using an acceleration sensor, and transmitting the acquired signals to a data acquisition card;
s302, processing signals through a data acquisition card, and converting time domain signals into frequency domain signals by utilizing Fourier transformation;
s303, extracting features of the frequency domain signals to obtain vibration feature values of the tower structure;
s304, comparing the vibration characteristic value with a preset threshold value, and judging the safety state of the tower structure according to the comparison result.
5. The method for dynamically monitoring the safety of the tower structure of the wind generating set according to claim 1, wherein the method comprises the following steps of: the S4 model prediction comprises the following steps:
s401, establishing a safe dynamic monitoring model of a tower structure of the wind generating set, wherein the model comprises a historical data model, a wind speed prediction model and a tower vibration model;
s402, based on a historical data model, utilizing historical wind speed data and tower vibration data to perform data training and model optimization to obtain a historical data model;
s403, based on a wind speed prediction model, carrying out data training and model optimization by utilizing wind speed prediction data and tower vibration data to obtain the wind speed prediction model;
s404, based on the tower vibration model, utilizing the tower vibration data and the wind speed data to perform data training and model optimization to obtain the tower vibration model.
6. The method for dynamically monitoring the safety of the tower structure of the wind generating set according to claim 1, wherein the method comprises the following steps of: the S5 alarm prompt comprises the following steps:
s501, comparing a predicted result with a preset safety threshold, and triggering an alarm prompt if the predicted result exceeds the safety threshold;
s502, calculating a safety risk index according to a prediction result and a preset safety threshold value, wherein the higher the safety risk index is, the greater the possibility that potential safety hazards exist in the tower structure is;
s503, according to the safety risk index, sending an alarm prompt to a user in an acousto-optic mode to remind the user to take maintenance and investigation measures in time.
7. The method for dynamically monitoring the safety of the tower structure of the wind generating set according to claim 1, wherein the method comprises the following steps of: the S6 data storage comprises the following steps:
s601, storing acquired data and processed data in a database, wherein the database comprises a relational database and a non-relational database;
s602, carrying out backup and encryption processing on data stored in a database so as to prevent data loss and leakage;
s603, exporting the data stored in the database into CSV and Excel formats according to the need, so that subsequent data analysis and history record inquiry are facilitated.
8. The method for dynamically monitoring the safety of the tower structure of the wind generating set according to claim 1, wherein the method comprises the following steps of: the S7 data analysis comprises the following steps:
s701, selecting a proper data analysis method according to the need, such as time sequence analysis, regression analysis and cluster analysis;
s702, further analyzing the data stored in the database, and extracting characteristics and trends related to the structural safety of the tower;
s703, displaying the analysis result to a user in a visual mode, such as a line graph, a bar graph and a thermodynamic diagram.
9. The method for dynamically monitoring the safety of the tower structure of the wind generating set according to claim 1, wherein the method comprises the following steps of: the S8 user interface comprises the following steps:
s801, displaying monitoring data and alarm prompt information in real time;
s802, supporting a user to set and control a monitoring system through an interface, such as setting an alarm threshold value and selecting a data analysis method;
s803, historical data query and report generation functions are provided, so that a user can conveniently conduct data analysis and decision.
10. The method for dynamically monitoring the safety of the tower structure of the wind generating set according to claim 1, wherein the method comprises the following steps of: the S9 system integration comprises the following steps:
s901, integrating a monitoring system with a control system of a wind generating set to realize sharing and linkage control of data;
s902, carrying out data interaction and instruction transmission with a control system through an OPC UA industrial communication protocol;
s903, when the potential safety hazard exists in the tower structure, the system automatically sends an alarm to the control system and controls the shutdown operation of the wind generating set in parallel.
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