WO2018058702A1

WO2018058702A1 - Intelligent monitoring system and method for offshore wind turbine blade fault

Info

Publication number: WO2018058702A1
Application number: PCT/CN2016/101903
Authority: WO
Inventors: 李仕平; 杨波; 陈志刚; 李茂东; 林金梅; 王恋; 王志刚; 翟伟; 黄国家; 张双红; 辛明亮; 伍振凌; 邱樾
Original assignee: 广州特种承压设备检测研究院
Priority date: 2016-09-30
Filing date: 2016-10-12
Publication date: 2018-04-05
Also published as: CN106246476B; CN106246476A

Abstract

An intelligent monitoring system for an offshore wind turbine blade fault. The system comprises a monitoring end (100) and a controller (200). The monitoring end (100) comprises: a current monitoring apparatus (110), a wind power monitoring apparatus (120), a start and stop monitoring apparatus (130), a blade vibration monitoring apparatus (140) and a blade video monitoring apparatus (150), wherein the blade vibration monitoring apparatus (140) is respectively connected to the current monitoring apparatus (110) and the wind power monitoring apparatus (120); the blade video monitoring apparatus (150) is connected to the start and stop monitoring apparatus (130); and the blade vibration monitoring apparatus (140) and the blade video monitoring apparatus (150) are respectively connected to the controller (200). Since the blade vibration monitoring apparatus (140) is respectively connected to the current monitoring apparatus (110) and the wind power monitoring apparatus (120), blade vibration data about a wind turbine can be collected according to a first trigger signal or a second trigger signal. Therefore, the blade vibration monitoring apparatus (140) does not need to collect the blade vibration data about the wind turbine in real time, and the running and maintenance costs of the intelligent monitoring system for an offshore wind turbine blade fault can be reduced. Further provided is an intelligent monitoring method for an offshore wind turbine blade fault, which can reduce the running and maintenance costs.

Description

Offshore wind turbine blade fault intelligent monitoring system and method

Technical field

The invention relates to the technical field of fault monitoring, in particular to an intelligent monitoring system and method for faults of offshore wind turbine blades.

Background technique

Offshore wind power has the advantages of abundant wind energy resources, high wind speed and stability, no land occupation, and suitable for large-scale development. It has great potential for development. Therefore, the development trend of wind power generation is now applied to offshore wind power generation. Due to the offshore distance of offshore wind farms, the harsh climate such as wind and lightning, and the complex tides of the waves, the failure rate of operating equipment is high, especially the wind turbine blades, which are the main components, are very susceptible to extreme weather. However, the daily inspection and maintenance of offshore wind turbines is very inconvenient. If accidents are caused by improper inspection and maintenance, serious economic losses will result.

Because wind turbine blades are generally prone to failure under severe weather conditions such as squally winds and lightning, most of the time the blades are in normal operation, and the existing monitoring systems are monitored in real time, so most of the time monitoring is It is not practical, and it will speed up the monitoring of the aging of the sensor and the power required to transmit the signal, thereby increasing the operation and maintenance cost of the wind turbine.

Summary of the invention

Based on this, it is necessary to provide an intelligent monitoring system and method for offshore wind turbine blade faults that reduce operating and maintenance costs.

An intelligent monitoring system for offshore wind turbine blade faults, comprising a monitoring terminal and a controller; the monitoring terminal comprises:

a current monitoring device, configured to collect a current value of the wind power generator, and determine a first trigger signal according to a fluctuation of the current value and a preset amplitude;

a wind monitoring device, configured to collect wind data of an environment in which the wind power generator is located, and determine a second trigger signal according to the wind data and the preset wind data;

a start-stop monitoring device, configured to monitor operation data of whether the blade of the wind power generator is running, and determine a third trigger signal according to the operation data;

a blade vibration monitoring device is respectively connected to the current monitoring device and the wind monitoring device, and configured to collect blade vibration data of the wind power generator according to the first trigger signal or the second trigger signal;

a blade video monitoring device, coupled to the start-stop monitoring device, configured to collect video data of a blade of the wind power generator according to the third trigger signal;

The blade vibration monitoring device and the blade video monitoring device are respectively connected to the controller.

In the above system, the blade vibration monitoring device is connected to the current monitoring device and the wind monitoring device, respectively, and the blade vibration data of the wind power generator may be collected according to the first trigger signal or the second trigger signal. Therefore, the blade vibration monitoring device does not need to collect the blade vibration data of the wind generator in real time, can avoid long-term vibration monitoring, can effectively reduce the energy consumption of the blade vibration monitoring device, and can delay the aging of the blade vibration monitoring device. Thereby, the operation and maintenance cost of the offshore wind turbine blade fault intelligent monitoring system can be reduced.

An intelligent monitoring method for blade faults of offshore wind turbines, comprising:

Collecting a current value of the wind power generator, and determining a first trigger signal according to a magnitude of the fluctuation of the current value and a preset amplitude;

Collecting wind data of the environment in which the wind power generator is located, and determining a second trigger signal according to the wind data and the preset wind data;

Monitoring operation data of whether the blade of the wind power generator is running, and determining a third trigger signal according to the operation data;

Acquiring the blade vibration data of the wind power generator according to the first trigger signal or the second trigger signal;

Collecting video data of the blades of the wind power generator according to the third trigger signal;

The monitoring data is sent to the central control terminal, and the monitoring data includes the blade vibration data and the video data.

In the above method, since the vibration data is collected when the first trigger signal is triggered or the second trigger signal is triggered, the vibration data is not collected in real time, so long-term vibration monitoring can be avoided, thereby effectively reducing energy consumption, and Can delay the aging of the monitoring system. Thereby, the operation and maintenance cost can be reduced.

DRAWINGS

1 is a structural diagram of an offshore wind turbine blade fault intelligent monitoring system according to an embodiment;

2 is a specific structural diagram of a monitoring end of the offshore wind turbine blade fault intelligent monitoring system of FIG. 1;

3 is a structural diagram of an offshore wind turbine blade fault intelligent monitoring system according to another embodiment;

4 is a specific structural diagram of a central control end of the offshore wind turbine blade fault intelligent monitoring system of FIG. 3;

5 is a flow chart of an intelligent monitoring method for an offshore wind turbine blade fault according to an embodiment;

FIG. 6 is a specific flow chart of a step of an intelligent monitoring method for an offshore wind turbine blade fault.

detailed description

In order to facilitate the understanding of the present invention, the present invention will be described more fully hereinafter with reference to the accompanying drawings. Preferred embodiments of the invention are shown in the drawings. However, the invention may be embodied in many different forms and is not limited to the embodiments described herein. Rather, these embodiments are provided so that the understanding of the present disclosure will be more fully understood.

All technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs, unless otherwise defined. The terminology used in the description of the present invention is for the purpose of describing particular embodiments and is not intended to limit the invention. The term "or/and" as used herein includes any and all combinations of one or more of the associated listed items.

As shown in FIG. 1 , an offshore wind turbine blade fault intelligent monitoring system according to an embodiment of the present invention includes a monitoring end 100 and a controller 200. The monitoring terminal 100 includes: a current monitoring device 110, The wind monitoring device 120, the start-stop monitoring device 130, the blade vibration monitoring device 140, and the blade video monitoring device 150.

The current monitoring device 110 is configured to collect a current value of the wind power generator, and determine a first trigger signal according to the current value.

The current monitoring device 110 collects the external output current value of the wind power generator, and can compare the fluctuation value of the current value with the preset amplitude, thereby performing preliminary judgment on the running state of the wind power generator, thereby determining the first trigger signal. Preferably, the preset amplitude is 20%. Specifically, when the fluctuation of the current value is greater than the preset amplitude, the running state of the wind power generator is an unstable state, and the first trigger signal is a trigger; otherwise, the running state of the wind power generator is a steady state, and the first trigger signal is not trigger. When the first trigger signal is a trigger, the blade vibration monitoring device 140 can be triggered to operate.

It can be understood that the magnitude of the current value can be compared with the preset current value to make a preliminary judgment on the operating state of the wind power generator, thereby determining the first trigger signal.

The wind monitoring device 120 is configured to collect wind data of an environment in which the wind power generator is located, and determine a second trigger signal according to the wind data and the preset wind data.

The wind monitoring device 120 can be a wind sensor. The wind data includes wind speed information or/and wind speed changes determined from wind speed information. The change in wind speed may be a change in the magnitude of the wind speed of the wind speed information at regular intervals (eg, 5 minutes or 10 minutes). The preset wind data includes a preset wind speed or/and a preset change value. Preferably, the preset wind speed is 22 m/s (meters per second), and the preset change value is 10 m/s.

Specifically, when the wind speed in the wind speed information is greater than the preset wind speed or the wind speed change is greater than the preset change value, the weather changes drastically. At this time, the second trigger signal is a trigger; otherwise, the second trigger signal is not triggered. When the second trigger signal is a trigger, the blade vibration monitoring device 140 can be triggered to operate.

The start-stop monitoring device 130 is configured to monitor operation data of whether the blade of the wind power generator is running, and determine a third trigger signal according to the operation data.

When the blade is not running, that is, when the operation data is not running, the video data of the blade of the wind power generator is collected, that is, the blade video monitoring device 150 is activated; otherwise, the collected video data is unclear. That is, when the operation data is not running, it is determined that the third trigger signal is a trigger, otherwise, the third trigger signal is triggered as not being triggered.

In one of the embodiments, the start-stop monitoring device 130 is coupled to the wind monitoring device 120 or/and the current monitoring device 110. When the current value output by the current monitoring device 110 is not greater than a preset value or/and the wind speed in the wind speed information collected by the wind monitoring device 120 is not greater than a preset value (preferably, the preset value is 0), the start-stop monitoring The device 130 may determine that the operational data bit is not operational; otherwise, the activation and shutdown monitoring device 130 may determine that the operational data is operational.

The blade vibration monitoring device 140 is connected to the current monitoring device 110 and the wind monitoring device 120 respectively, and is configured to collect blade vibration data of the wind power generator according to the first trigger signal or the second trigger signal .

The blade vibration monitoring device 140 may be a vibration sensor. The blade vibration monitoring device 140 can be mounted on the blades of the wind turbine, specifically the inside of the blades. When the first trigger signal is a trigger or the second trigger signal is a trigger, the blade vibration monitoring device 140 is activated to collect the blade vibration data of the wind power generator.

In one of the embodiments, the blade vibration monitoring device 140 can also determine the position and size of the crack or breakage of the blade based on the vibration data.

Since the blade vibration monitoring device 140 is activated when the first trigger signal is triggered or the second trigger signal is triggered, the blade vibration monitoring device 140 does not work in real time, thereby avoiding long-term vibration monitoring, thereby effectively reducing the blade. The energy of the vibration monitoring device 140 is consumed, and the aging of the blade vibration monitoring device 140 can be delayed.

The blade video monitoring device 150 is configured to collect video data of the blade of the wind power generator according to the third trigger signal.

Since the blade image is not easy to form a clear image when the blade is running at a high speed, the video data of the blade of the wind power generator is collected according to the third trigger signal. When the third trigger signal is a trigger, that is, when the blades of the wind power generator are not running, the video data of the blades of the wind power generator is collected. The collected video data may specifically include a region photograph of a focus portion of the entire blade, a blade tip of the blade, and a lightning-scattering divergence point, and data for scanning the entire blade when the blade is not in operation. According to the video data collected by the blade video monitoring device 150, the damage of the blade can be determined. Specifically, the damage of the blade can be determined by performing video recognition or/and video recognition on the collected video data.

The blade vibration monitoring device 140 and the blade video monitoring device 150 are respectively connected to the controller 200. As such, the controller 200 is enabled to collect monitoring data. The monitoring data includes blade vibration data of the wind turbine and video data of the blades of the wind turbine.

In a specific embodiment, the current monitoring device 110, the wind monitoring device 120, the start-stop monitoring device 130, the blade vibration monitoring device 140, and the blade video monitoring device 150 are respectively associated with the controller 200 connections. In this way, the controller 200 is enabled to collect monitoring data including: the current value of the wind power generator, the wind data of the environment in which the wind power generator is located, the operational data of whether the blades of the wind power generator are running, the blades of the wind power generator Vibration data and video data of blades of wind turbines, etc. Specifically, the current monitoring device 110, the wind monitoring device 120, the start-stop monitoring device 130, the blade vibration monitoring device 140, and the blade video monitoring device 150 respectively pass the data line with the controller 200. connection.

The above-mentioned offshore wind turbine blade fault intelligent monitoring system includes a monitoring terminal 100 and a controller 200. The monitoring terminal 100 includes: a current monitoring device 110, configured to collect a current value of the wind power generator according to the fluctuation of the current value. Determining a first trigger signal in comparison with a preset amplitude; the wind monitoring device 120 is configured to collect wind data of an environment in which the wind power generator is located, and determine a second trigger signal according to the wind data and the preset wind data; a start-stop monitoring device 130, configured to monitor operation data of whether the blade of the wind power generator is running, and determine a third trigger signal according to the operation data; a blade vibration monitoring device 140, and the current monitoring device 110 The wind monitoring device 120 is respectively connected to collect the blade vibration data of the wind power generator according to the first trigger signal or the second trigger signal; the blade video monitoring device 150 and the start-stop monitoring device 130 Connecting, configured to acquire video data of a blade of the wind power generator according to the third trigger signal; Measuring device 110, monitoring device 120 of the wind, the start and stop monitoring apparatus 130, the blade vibration monitoring device 140 and the blade 150 video monitoring means connected to the controller 200, respectively. The blade vibration monitoring device 140 is connected to the current monitoring device 110 and the wind monitoring device 120 respectively, and the blade vibration data of the wind power generator may be collected according to the first trigger signal or the second trigger signal. Therefore, the blade vibration monitoring device 140 does not need to collect the blade vibration data of the wind power generator in real time, can avoid long-term vibration monitoring, can effectively reduce the energy consumption of the blade vibration monitoring device 140, and can delay Aging of the blade vibration monitoring device 140. Thereby, the operation and maintenance cost of the offshore wind turbine blade fault intelligent monitoring system can be reduced.

Referring to FIG. 2, in one embodiment, the monitoring terminal 100 further includes a timing device 160;

The timing device 160 is connected to the start-stop monitoring device 130 for determining a fourth trigger signal according to a preset time interval.

The timing device 160 is coupled to the start-stop monitoring device 130 such that when the third trigger signal is triggered, the timing device 160 begins timing. The timing device 160 determines the fourth trigger signal according to the preset time interval, and the preset time interval may be 30 minutes. Whenever the timing device 160 reaches the time of the preset time interval, the fourth trigger signal is a trigger, otherwise the fourth trigger signal is not triggered. The timing device 160 can be a timer.

In this embodiment, the blade video monitoring device 150 is further connected to the timing device 160 for collecting video data of the blades of the wind power generator according to the fourth trigger signal. When the fourth trigger signal is a trigger, the video data of the blade of the wind power generator is collected; when the fourth trigger signal is not triggered, no processing is performed.

In this way, the blade video monitoring device 150 performs the video data acquisition of the blade every predetermined interval in the state in which the blade is not rotated. Therefore, the blade video monitoring device 150 can avoid the real-time acquisition of video data, which can reduce the operation and maintenance cost of the offshore wind turbine blade fault intelligent monitoring system.

Referring to FIG. 3 and FIG. 4, in one embodiment, a central control terminal 300 is further included; the central control terminal 300 includes a data server 310 and an alarm device 330.

The data server 310 is communicatively coupled to the controller 200; the alarm device 330 is coupled to the data server 310. The data server 310 is used to store monitoring data. Specifically, the monitoring data includes at least blade vibration data of the wind turbine and video data of the blades of the wind turbine. When the monitoring data is abnormal, the alarm device 330 will issue an alarm signal. In this way, monitoring data can be monitored and alarmed when monitoring data is abnormal.

In one embodiment, the central control terminal 300 further includes a monitoring host 350 and a display 370; the monitoring host 350 and the display 370 are all connected to the data server 310. Such as Thus, the monitoring server 350 accesses the data server 310 and displays the monitoring results through the display 370.

In one of the embodiments, the central control terminal 300 further includes a mobile terminal 390 that is communicatively coupled to the data server 310. As such, the data service can also be accessed through the mobile terminal 390.

In one embodiment, a communication device 400 is further included; the data server 310 is communicatively coupled to the controller 200 via the communication device 400; the communication device 400 includes a wireless signal communication device 410 and a signal repeater 430 . In this way, by using the signal repeater transmission mode, the monitoring data is transmitted to the central control terminal 300, which can effectively extend the transmission distance of the wireless signal and achieve the purpose of remote monitoring. Preferably, data server 310 is a cloud data server.

In one embodiment, a signal pre-processor 300 is further included; the controller 200 is coupled to the signal pre-processor 300; the controller 200 communicates with the data server 310 via the signal pre-processor 300 connection.

The signal pre-processor 300 is configured to compare the monitoring data collected during the monitoring period collected by the controller 200 with the monitoring data in the last monitoring period, and if the data is consistent, delete the monitoring data in the monitoring period. .

In this way, during the transmission process, only the monitoring data collected by the controller 200 and the monitoring data that is not repeated in the previous monitoring is transmitted, the transmission of the invalid data is reduced, the transmission pressure and energy consumption are reduced, thereby saving system resources and further reducing operation and maintenance costs. .

Referring back to FIG. 2, in one embodiment, the monitoring end 100 further includes a temperature monitoring device 170.

a temperature monitoring device 170, configured to collect an ambient temperature of the wind power generator or/and collect an inner chamber temperature of the blade of the wind power generator or/and collect a peripheral temperature of a lightning dissipation divergence point of the wind power generator; The temperature monitoring device 170 is connected to the controller 200. In this embodiment, the monitoring data further includes temperature information collected by the temperature monitoring device 170, and the temperature information includes an ambient temperature or/and an inner chamber temperature or/and a peripheral temperature. In this way, temperature information such as the ambient temperature of the wind turbine or/and the inner chamber temperature or/and the ambient temperature can also be monitored.

In one embodiment, the monitoring terminal 100 further includes an environmental video monitoring device (not shown) coupled to the controller 200 for collecting ambient video around the wind turbine. Specifically, the monitoring data also includes an environmental video.

The environmental video monitoring device is also connected to the current monitoring device 110 or/and the wind monitoring device 120, such that the environmental video monitoring device can collect the environmental video around the wind generator according to the first trigger signal or the second trigger signal instead of real time. Acquisition, which can reduce operating and maintenance costs while monitoring environmental video.

The environmental video monitoring device can also be connected to the timing device 160. Thus, the environmental video monitoring device can collect the environmental video around the wind generator according to the fourth trigger signal, and is not real-time acquisition, and can also reduce the operation while monitoring the environment video. Maintenance costs.

Referring to FIG. 5, the present invention also provides an intelligent monitoring method for blade faults of offshore wind turbines, including:

S510: Collect a current value of the wind power generator, and determine a first trigger signal according to a magnitude of the fluctuation of the current value and a preset amplitude.

The external output current value of the wind turbine is collected, and the fluctuation value of the current value is compared with the preset amplitude to make a preliminary judgment on the running state of the wind power generator, thereby determining the first trigger signal. Preferably, the preset amplitude is 20%. Specifically, when the fluctuation of the current value is greater than the preset amplitude, the running state of the wind power generator is an unstable state, and the first trigger signal is a trigger; otherwise, the running state of the wind power generator is a steady state, and the first trigger signal is not trigger.

S520: Collect wind data of an environment in which the wind power generator is located, and determine a second trigger signal according to the wind data and the preset wind data.

The wind data includes wind speed information or/and wind speed changes determined from wind speed information. The change in wind speed may be a change in the magnitude of the wind speed of the wind speed information at regular intervals (eg, 5 minutes or 10 minutes). The preset wind data includes a preset wind speed or/and a preset change value. Preferably, the preset wind speed is 22 m/s (meters per second), and the preset change value is 10 m/s.

Specifically, when the wind speed in the wind speed information is greater than the preset wind speed or the wind speed change is greater than the preset change value, the weather changes drastically. At this time, the second trigger signal is a trigger; otherwise, the second trigger signal is not triggered.

S530: Monitor operation data of whether the blade of the wind power generator is running, and determine a third trigger signal according to the operation data.

When the blade is not running, that is, when the operation data is not running, the video data of the blade of the wind power generator is collected; otherwise, the collected video data is not clear. That is, when the operation data is not running, it is determined that the third trigger signal is a trigger, otherwise, the third trigger signal is triggered as not being triggered.

In one embodiment, before step S530, the method further comprises: determining the operation data according to the current value or the wind power data. When the current value is not greater than the preset value or/and the wind speed in the wind data is not greater than the preset value (preferably, the preset value is 0), determining that the operation data bit is not running; otherwise, determining that the operation data is operating in.

S540: Acquire blade vibration data of the wind power generator according to the first trigger signal or the second trigger signal.

When the first trigger signal is a trigger or the second trigger signal is a trigger, the blade vibration data of the wind power generator is collected. The position and size of the crack or breakage of the blade are determined based on the vibration data.

Since the vibration data is collected when the first trigger signal is triggered or the second trigger signal is triggered, the vibration data is not collected in real time, so long-term vibration monitoring can be avoided, thereby effectively reducing energy consumption and delaying monitoring. The aging of the system.

S550: Collect video data of the blades of the wind power generator according to the third trigger signal.

Since the blade image is not easy to form a clear image when the blade is running at a high speed, the video data of the blade of the wind power generator is collected according to the third trigger signal. When the third trigger signal is a trigger, that is, when the blades of the wind power generator are not running, the video data of the blades of the wind power generator is collected. The collected video data may specifically include a region photograph of a focus portion of the entire blade, a blade tip of the blade, and a lightning-scattering divergence point, and data for scanning the entire blade when the blade is not in operation. According to the collected video data, the damage of the blade can be determined. Specifically, the damage of the blade can be determined by performing video recognition or/and video recognition on the collected video data.

S560: Send monitoring data to the central control end, the monitoring data including the blade vibration data and the video data.

The monitoring data is sent to the central control for storage and provides data basis for the monitoring of the wind turbine. Specifically, the monitoring data is sent to the central control terminal through the transmission mode of the signal repeater. In this way, the transmission distance of the wireless signal can be effectively extended to achieve the purpose of remote monitoring. In one embodiment, the monitoring data further includes: a current value of the wind turbine, wind data of an environment in which the wind power generator is located, and operational data of whether the blades of the wind power generator are operating.

The above-mentioned intelligent monitoring method for the fault of the offshore wind turbine blade, collecting the current value of the wind power generator, determining the first trigger signal according to the fluctuation of the current value and the preset amplitude; collecting the wind power of the environment where the wind power generator is located Data, determining a second trigger signal according to the wind data and the preset wind data; monitoring operation data of whether the blade of the wind power generator is running, and determining a third trigger signal according to the operation data; Collecting, by the first trigger signal or the second trigger signal, blade vibration data of the wind power generator; collecting video data of the blade of the wind power generator according to the third trigger signal; and sending the monitoring data to the central control And the monitoring data includes the blade vibration data and the video data. Since the vibration data is collected when the first trigger signal is triggered or the second trigger signal is triggered, the vibration data is not collected in real time, so long-term vibration monitoring can be avoided, thereby effectively reducing energy consumption and delaying monitoring. The aging of the system. Thereby, the operation and maintenance cost can be reduced.

Referring to FIG. 5, in one embodiment, the step of acquiring video data of a blade of the wind power generator according to the third trigger signal, that is, step S550, includes:

S651: Determine a fourth trigger signal according to the third trigger signal and a preset time interval.

When the third trigger signal is triggered, the timing is started, and the fourth trigger signal is determined according to the preset time interval, and the preset time interval may be 30 minutes. Whenever the timing reaches the preset time interval, the fourth trigger signal is a trigger, otherwise the fourth trigger signal is not triggered.

S653: Acquire video data of the blade of the wind power generator according to the fourth trigger signal.

When the fourth trigger signal is a trigger, the video data of the blade of the wind power generator is collected; when the fourth trigger signal is not triggered, no processing is performed.

In this way, the video data acquisition of the blade is performed once every predetermined interval in the state where the blade is not rotated. Thereby avoiding the acquisition of video data in real time, the operation and maintenance cost can be reduced.

In one of the embodiments, the step of transmitting the monitoring data to the central control unit, that is, before the S560, further includes:

The monitoring data in the monitoring period is compared with the monitoring data in the last monitoring period, and the monitoring data with consistent data is deleted.

In this way, only the monitoring data in the monitoring data and the last monitoring is not transmitted during the transmission process, the transmission of invalid data is reduced, the transmission pressure and energy consumption are reduced, thereby saving system resources and further reducing operation and maintenance costs.

Collecting an ambient temperature of the wind turbine or/and collecting an inner chamber temperature of a blade of the wind power generator or/and collecting an ambient temperature of a lightning strike divergence point of the wind power generator.

In this embodiment, the monitoring data further includes collected temperature information including ambient temperature or/and inner chamber temperature or/and ambient temperature. In this way, temperature information such as the ambient temperature of the wind turbine or/and the inner chamber temperature or/and the ambient temperature can also be monitored.

The environmental video around the wind turbine is collected, and the monitoring data also includes environmental video.

The ambient video around the wind turbine can be collected according to the first trigger signal, the second trigger signal or the fourth trigger signal, instead of real-time acquisition, so that the operation and maintenance cost can be reduced while monitoring the environment video.

The above embodiments are merely illustrative of several embodiments of the present invention, and are not to be construed as limiting the scope of the invention. It should be noted that various modifications and improvements can be made by those skilled in the art without departing from the spirit and scope of the invention. Therefore, the scope of the invention should be determined by the appended claims.

Claims

An offshore wind turbine blade fault intelligent monitoring system is characterized in that it comprises a monitoring end and a controller; the monitoring end comprises:

a current monitoring device, configured to collect a current value of the wind power generator, and determine a first trigger signal according to a fluctuation of the current value and a preset amplitude;

a wind monitoring device, configured to collect wind data of an environment in which the wind power generator is located, and determine a second trigger signal according to the wind data and the preset wind data;

a start-stop monitoring device, configured to monitor operation data of whether the blade of the wind power generator is running, and determine a third trigger signal according to the operation data;

a blade vibration monitoring device is respectively connected to the current monitoring device and the wind monitoring device, and configured to collect blade vibration data of the wind power generator according to the first trigger signal or the second trigger signal;

a blade video monitoring device, coupled to the start-stop monitoring device, configured to collect video data of a blade of the wind power generator according to the third trigger signal;

The blade vibration monitoring device and the blade video monitoring device are respectively connected to the controller.
The offshore wind turbine blade fault intelligent monitoring system according to claim 1, wherein the monitoring end further comprises a timing device;

The timing device is connected to the start-stop monitoring device, and configured to determine a fourth trigger signal according to a preset time interval;

The blade video monitoring device is further connected to the timing device, and configured to collect video data of the blade of the wind power generator according to the fourth trigger signal.
The offshore wind turbine blade fault intelligent monitoring system according to claim 1, further comprising a central control end; the central control end comprises a data server and an alarm device;

The data server is in communication with the controller; the alarm device is coupled to the data server.
The offshore wind turbine blade fault intelligent monitoring system according to claim 3, wherein the central control terminal further comprises a monitoring host and a display; the monitoring host and the display Both are connected to the data server.
The offshore wind turbine blade fault intelligent monitoring system according to claim 3, wherein the central control terminal further comprises a mobile terminal, and the mobile terminal is communicatively coupled to the data server.
The offshore wind turbine blade fault intelligent monitoring system according to claim 3, further comprising: a communication device; said data server being communicably connected to said controller through said communication device; said communication device comprising a wireless signal Communication equipment and signal repeaters.
The offshore wind turbine blade fault intelligent monitoring system according to claim 3, further comprising a signal preprocessor; said controller being coupled to said signal preprocessor; said controller pre-passing said signal A processor is in communication with the data server.
The offshore wind turbine blade fault intelligent monitoring system according to claim 1, wherein the monitoring end further comprises a temperature monitoring device;

The temperature monitoring device is configured to collect an ambient temperature of the wind power generator or/and collect an inner chamber temperature of a blade of the wind power generator or/and collect a peripheral temperature of a lightning dissipation divergence point of the wind power generator; The temperature monitoring device is coupled to the controller.
An intelligent monitoring method for blade faults of offshore wind turbines, characterized in that it comprises:

Collecting a current value of the wind power generator, and determining a first trigger signal according to a magnitude of the fluctuation of the current value and a preset amplitude;

Collecting wind data of the environment in which the wind power generator is located, and determining a second trigger signal according to the wind data and the preset wind data;

Monitoring operation data of whether the blade of the wind power generator is running, and determining a third trigger signal according to the operation data;

Acquiring the blade vibration data of the wind power generator according to the first trigger signal or the second trigger signal;

Collecting video data of the blades of the wind power generator according to the third trigger signal;

The monitoring data is sent to the central control terminal, and the monitoring data includes the blade vibration data and the video data.
The method for intelligently monitoring an offshore wind turbine blade fault according to claim 9, The step of collecting the video data of the blade of the wind power generator according to the third trigger signal includes:

Determining a fourth trigger signal according to the third trigger signal and a preset time interval;

And acquiring video data of the blades of the wind power generator according to the fourth trigger signal.