Sea condition early warning system of deep sea fan
By integrating control devices, image acquisition devices, distance measurement devices and alarm devices on deep sea fans, combined with a variety of sensors and deep learning modules, real-time monitoring and early warning of foreign objects in offshore wind farms and submarine cable areas is achieved, and the current solution is to solve the problem of There are systematic identification problems with low accuracy, which improves the safety and operational reliability of wind farms.
Patent Information
- Application Number
- CN202420967477.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Utility models(China)
- Current Assignee / Owner
- Filing Date
- 2024-05-07
- Publication Date
- 2025-01-14
- Estimated Expiration
- 2034-05-07
AI Technical Summary
The existing deep-floor ocean wind farm early warning system has low accuracy in identification, especially for ships with incomplete information or ships without AIS signals, which leads to inaccurate early warning results, which increases the risk of offshore wind accidents.
A sea situation warning system for deep sea fans is designed, including control devices, image acquisition devices, distance measurement devices and alarm devices. Through real-time monitoring and a combination of multiple sensors, external objects in offshore wind farms and submarine cable areas are realized. The monitoring and early warning of the system uses infrared cameras, infrared range measurement sensors, ultrasonic sensors and lidar to perform object recognition and distance measurement, and uses deep learning modules to identify ships and birds, combined with acousto-optical alarms for discharging.
Improve the safety and reliability of offshore wind farms, realize accurate monitoring and early warning of foreign objects entering the wind farm and submarine cable areas, reduce the probability of accidents, and use a variety of means (such as reflectors and bird repellents) Effectively drive away birds and ensure the normal operation of the wind farm.
Smart Images
Figure CN222354528U_ABST
Abstract
Description
Technical Field
[0001] The utility model belongs to the technical field of offshore wind turbine safety equipment, in particular to a sea condition early warning system for deep sea wind turbines. Background Art
[0002] With the continuous development of offshore wind power technology, deep-sea wind power has become a hot area for wind power development. Generally speaking, deep-sea wind farms are large in scale and very far from the shore, so inspections are inconvenient and they are usually unattended, which increases the probability of offshore wind power accidents. During operation and maintenance, if external ships break into the wind farm and its submarine cable area, they may collide with the wind power facilities, causing the ship to drop anchor and trawling, and may even damage the submarine cable. Sometimes birds flying into the wind power facility area may also collide. These phenomena will seriously endanger the normal operation of the offshore wind farm and may cause large economic losses.
[0003] However, the deep sea wind farm early warning system in the prior art is still imperfect, and AIS (Automatic Identification System) is often used for ship identification. However, the identification accuracy of ships with incomplete information or without AIS signals is low. In other words, the use of this AIS system alone may result in some ships not being identified. Therefore, there are problems with incomplete monitoring range and inaccurate early warning results for ship monitoring. Utility Model Content
[0004] To solve the above problems, the utility model provides a sea condition warning system for deep sea wind turbines, which can monitor the operating conditions of offshore wind farms in real time, monitor, warn and drive away foreign objects entering the offshore wind farm area and the submarine cable area, and improve the safety and reliability of offshore wind farms.
[0005] The utility model provides a sea situation warning system for deep sea wind turbines, comprising a control device, an image acquisition device, a distance measuring device and an alarm device installed on a supporting body, wherein the image acquisition device, the distance measuring device and the alarm device are all communicatively connected to the control device, and also comprises a power supply device which is electrically connected to the control device, the image acquisition device, the distance measuring device and the alarm device, wherein the control device is used for controlling the image acquisition device to acquire on-site images in real time for monitoring, and the control device is used for controlling the alarm device to sound an alarm when the distance measuring device detects that the distance of an external object is less than a distance threshold.
[0006] Preferably, in the above-mentioned sea condition warning system for deep sea wind turbines, the image acquisition device, the distance measurement device and the alarm device are all communicatively connected to the control device by means of a wireless communication device, and the wireless communication device is also electrically connected to the power supply device.
[0007] Preferably, in the above-mentioned sea condition warning system for deep sea wind turbines, the support body includes a support base for installation on the offshore platform of the wind turbine and a support rod fixed on the support base, and the image acquisition device, the distance measuring device, the alarm device and the control device are all fixed on the support rod, the alarm device is installed on the top of the support rod, the image acquisition device is arranged on the side of the support rod, and the distance measuring device is arranged at the bottom of the image acquisition device.
[0008] Preferably, in the above-mentioned sea condition warning system for deep sea wind turbines, an annular guide rail surrounding the offshore wind turbine tower is arranged on the offshore support platform, and the support seat is installed on the annular guide rail using a slider arranged at the bottom, and the slider is also connected to a driving device, and the driving device is used to drive the slider to move along the annular guide rail to enable the support seat to rotate around the offshore wind turbine tower.
[0009] Preferably, in the above-mentioned sea condition warning system for deep sea wind turbines, the power supply device includes a solar panel and a small wind power generation device, both of which are electrically connected to a battery, wherein the small wind power generation device is installed on the support rod, and the battery is used to directly connect to the image acquisition device, the distance measuring device, the alarm device, the control device and the wireless communication device.
[0010] Preferably, in the above-mentioned sea condition warning system for deep sea wind turbines, the small wind power generation device has a plurality of blades, and the surfaces of the blades are all provided with reflective devices.
[0011] Preferably, in the above-mentioned sea condition warning system for deep sea wind turbines, a slot for containing bird repellent is also provided on the blades.
[0012] Preferably, in the above-mentioned sea condition warning system for deep sea wind turbines, the distance measuring device is an infrared ranging sensor and / or an ultrasonic sensor and / or a lidar, and the control device is used to obtain a final distance value after weighted calculation based on the distances measured by multiple measuring devices.
[0013] Preferably, in the above-mentioned sea condition warning system for deep sea wind turbines, the image acquisition component is an infrared camera, and the control device has an AIS module and a deep learning module communicatively connected to the infrared camera, the AIS module is used to acquire ship AIS information from the image, and the deep learning module is used to identify ship types and bird information through training.
[0014] Preferably, in the above-mentioned sea condition warning system for deep sea wind turbines, the alarm device is an audible and visual alarm, and a protective device is also arranged around the periphery of the alarm device.
[0015] From the above description, it can be known that the sea situation warning system for the deep sea wind turbine provided by the utility model includes a control device, an image acquisition device, a distance measuring device and an alarm device installed on a supporting body, and the image acquisition device, the distance measuring device and the alarm device are all communicatively connected to the control device, and also include a power supply device electrically connected to the control device, the image acquisition device, the distance measuring device and the alarm device. The control device is used to control the image acquisition device to acquire the on-site image in real time for monitoring, and the control device is used to control the alarm device to alarm when the distance measuring device detects that the distance of the external object is less than the distance threshold. Therefore, the operating status of the offshore wind farm can be monitored in real time, and foreign objects entering the offshore wind farm area and the submarine cable sea area can be monitored, warned and driven away, thereby improving the safety and reliability of the offshore wind farm. BRIEF DESCRIPTION OF THE DRAWINGS
[0016] In order to more clearly illustrate the embodiments of the utility model or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only embodiments of the utility model. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying creative work.
[0017] Figure 1 A schematic diagram of an embodiment of a sea condition warning system for deep sea wind turbines provided by the utility model;
[0018] Figure 2 A schematic diagram of another specific embodiment of a sea situation warning system for deep sea wind turbines;
[0019] Figure 3 It is a schematic diagram of another specific embodiment of the sea situation warning system for deep sea wind turbines. DETAILED DESCRIPTION
[0020] The core of the utility model is to provide a sea condition early warning system for deep sea wind turbines, which can monitor the operating conditions of offshore wind farms in real time, monitor, warn and drive away foreign objects entering the offshore wind farm area and the submarine cable area, and improve the safety and reliability of offshore wind farms.
[0021] The following will be combined with the drawings in the embodiments of the utility model to clearly and completely describe the technical solutions in the embodiments of the utility model. Obviously, the described embodiments are only part of the embodiments of the utility model, not all of the embodiments. Based on the embodiments in the utility model, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the utility model.
[0022] The implementation of the sea situation warning system for deep sea wind turbines provided by the utility model is as follows: Figure 1 As shown, Figure 1 A schematic diagram of an embodiment of a sea condition warning system for a deep sea wind turbine provided by the utility model, the sea condition warning system for the deep sea wind turbine may include a control device 2, an image acquisition device 3, a distance measurement device 4 and an alarm device 5 installed on a support body 1, the image acquisition device 3, the distance measurement device 4 and the alarm device 5 are all communicatively connected to the control device 2, and also include a power supply device 6 electrically connected to the control device 2, the image acquisition device 3, the distance measurement device 4 and the alarm device 5, Figure 1 The dotted lines in the figure indicate the power supply lines between the power supply device 6 and the other devices, so that the power supply device 6 can supply power to these devices at the same time to realize their uninterrupted operation, and always provide sea condition warning to ensure the safety of deep sea wind turbines. In addition, the above-mentioned control device 2 is used to control the image acquisition device 3 to acquire the on-site image in real time for monitoring, and the control device 2 is used to control the alarm device 5 to alarm when the distance measuring device 4 detects that the distance of the external object is less than the distance threshold. Specifically, in this case, the control device 2 can control the image acquisition device 3 to collect real-time images when other objects enter its field of view, and can measure the distance between other objects and other objects when other objects enter a specific area, and transmit the measured distance to the control device 2, and can also control the alarm device 5 to send an alarm signal to warn and drive away when the distance of other objects is too close, so as to prevent collision accidents.
[0023] It can be seen from the above description that in the embodiment of the sea situation warning system for the deep sea wind turbine provided by the utility model, since it includes a control device, an image acquisition device, a distance measuring device and an alarm device installed on the supporting body, the image acquisition device, the distance measuring device and the alarm device are all communicatively connected to the control device, and also include a power supply device that is electrically connected to the control device, the image acquisition device, the distance measuring device and the alarm device. The control device is used to control the image acquisition device to acquire the on-site image in real time for monitoring, and the control device is used to control the alarm device to alarm when the distance measuring device detects that the distance of the external object is less than the distance threshold. Therefore, the operating status of the offshore wind farm can be monitored in real time, and foreign objects entering the offshore wind farm area and the submarine cable sea area can be monitored, warned and driven away, thereby improving the safety and reliability of the offshore wind farm.
[0024] In a specific embodiment of the sea situation warning system for deep sea wind turbines, the image acquisition device 3, the distance measurement device 4 and the alarm device 5 can be connected to the control device 2 by wireless communication devices, and the wireless communication device is also electrically connected to the power supply device 6. In this case, there will be no problem of too many wires being entangled, the whole system will be neater, and there will be no problem of wires being corroded and aged, so that maintenance is not required. Of course, the type of wireless communication device can be selected according to actual conditions, such as a Wi-Fi device or a Bluetooth device, etc., which is not limited here.
[0025] In another specific embodiment of the above-mentioned sea situation warning system for deep sea wind turbines, reference is made to Figure 2 , Figure 2It is a schematic diagram of another specific embodiment of the sea situation warning system for deep-sea wind turbines. The above-mentioned support body 1 may include a support base 11 for installation on the offshore platform of the wind turbine and a support rod 12 fixed on the support base 11, and the image acquisition device 3, the distance measuring device 4 and the alarm device 5 and the control device 2 are all fixed on the support rod 12, the alarm device 5 is installed on the top of the support rod 12, the image acquisition device 3 is arranged on the side of the support rod 12, and the distance measuring device 4 is arranged at the bottom of the image acquisition device 3. It should be noted that, in this case, the support seat 11 can be made of a heavier block, such as 50 kg to 200 kg, to achieve a stable connection and resist wind impact. The support rod 12 can be selected according to actual needs. The corresponding height, for example, 2 meters to 5 meters, can be selected as long as possible when permitted, so that the image acquisition device 3 and the distance measuring device 4 can have a better field of view, which is more convenient for monitoring and measurement, and the alarm device 5 can also be installed higher, so that ships or birds in more distant parts can observe and leave the relevant area as soon as possible. Moreover, the distance measuring device 4 can be arranged adjacent to the lower part of the image acquisition device 3 to achieve the greatest possible consistency between the collected image and the distance, reduce the distance measurement deviation, and the image acquisition device 3 can preferably be an infrared camera, so that images can be collected continuously regardless of day or night or in weather conditions with poor visibility without interruption, thereby better ensuring the comprehensiveness of the monitoring data.
[0026] In another specific embodiment of the above-mentioned sea situation warning system for deep sea wind turbines, reference is made to Figure 3 , Figure 3 This is a schematic diagram of another specific embodiment of the sea situation warning system for deep sea wind turbines. An annular guide rail 9 surrounding the offshore wind turbine tower 8 is arranged on the offshore support platform 7. The support seat 11 is installed on the annular guide rail 9 using a slider 111 arranged at the bottom, and the slider 111 is also connected to a driving device (not shown in the figure). The driving device is used to drive the slider 111 to move along the annular guide rail 9 so that the support seat 11 rotates around the offshore wind turbine tower. In this case, the entire system can make a 360-degree circular motion around the offshore wind turbine tower, and control the above-mentioned devices to change their positions regularly, so as to achieve the purpose of multi-angle monitoring without leaving blind spots. It should also be noted that the entire system can be controlled to make a circular motion all the time, so that the patrol function can be realized, and it can also be fixed after rotating a certain angle, and fixed after a period of time after rotating a certain angle again, so that interval monitoring can be realized.
[0027] In a preferred embodiment of the sea situation warning system for deep sea wind turbines, the power supply device 6 may include a solar panel 61 and a small wind power generation device 62, both of which are electrically connected to a battery (not shown in the figure), wherein the small wind power generation device 62 is installed on the support rod 12, and the battery is used to directly connect to the image acquisition device 3, the distance measurement device 4, the alarm device 5, the control device 2 and the wireless communication device. It should be noted that in this case, the battery is the main part of the power supply and can be arranged inside the support seat 11, while the multiple solar panels and the small wind power generation device serve as auxiliary power parts, making full use of the photovoltaic effect and the wind power effect to convert natural energy into electrical energy and store it in the battery, so that no matter what the weather is, the battery can be continuously supplied with electrical energy, so that the endurance of the entire system is improved, thereby avoiding the system from stopping due to power exhaustion. It should also be noted that seagulls and other birds are also prone to break into offshore wind farms. Birds are prone to hit the tower, nacelle and offshore foundation platform of wind turbines, and may build nests on the offshore foundation platform, which not only affects the normal operation of wind turbines, but also causes the death of birds. Therefore, in a further embodiment, this small wind power generation device 62 can be two, respectively located on both sides of the offshore wind turbine tower, and can have multiple blades, and the surface of the blades are all provided with a reflective device 621, which can be preferably a reflector, so that the wind can drive the reflector to rotate, thereby using the reflection of light to drive birds. Further, a slot 622 for holding bird repellent can also be provided on the blade, so that the reflector and bird repellent can be comprehensively utilized for long-term chronic bird repellent. Moreover, the fan blades of this small wind power generation device can be connected to the rotating shaft, and the rotating shaft is connected to a small motor, so as to form a small wind generator to power the entire device, while achieving the bird repellent function, making up for the disadvantage of limited power supply energy, and the structure is more compact. When the infrared camera monitors and identifies birds, the sound and light alarm is turned on, using sound and light to disturb nearby bird flocks. It works together with reflectors and bird repellents to ensure that the system has a better bird repellent effect.
[0028] In another preferred embodiment of the sea situation warning system for the deep sea wind turbine, the distance measuring device 4 can be an infrared distance measuring sensor and / or an ultrasonic sensor and / or a laser radar, and the control device 2 is used to obtain the final distance value after weighted calculation based on the distances measured by the multiple measuring devices 4, so that the accuracy of the distance measurement can be further improved. Specifically, the above three sensors can be installed on the support rod at the same time, and the infrared transmitting circuit of the infrared distance measuring sensor emits infrared light. After being reflected by the ship, the photosensitive receiving tube of the infrared receiving circuit receives the reflected light of the object in front, and judges whether there is a ship in front. Since the light intensity received by the receiving tube decreases as the distance of the reflecting object becomes farther, the distance of the object can be judged according to the intensity of the emitted light. The ultrasonic sensor emits a sound wave with a very high frequency, which will be reflected after encountering an object. The sensor receives the reflected sound wave and determines the distance or state of the object by calculating the time difference or energy difference between the emitted and received sound waves. The laser radar calculates the specific distance by the time difference between the light beam and the laser signal. Different sensors have their own applicable application scenarios. The final distance is obtained by weighted fusion of the distance data measured by the three sensors. The details are as follows: First, the three sensors are used to perform n measurements at a fixed distance to obtain the distance x measured by different sensors. ij (i=1~n,j=1~3), and calculate the standard deviation S of different sensors j , the standard deviation calculation formula is:
[0029]
[0030] The probability weights of different sensors are obtained according to the standard deviation method, and the calculation formula is:
[0031]
[0032] Finally, the fusion of multi-sensor distance test data is completed according to the following formula:
[0033]
[0034] When the multi-distance sensor measures the distance to the ship to be less than the initial setting value, the sound and light alarm is activated to warn and expel the ship. The controller is placed in the support seat to record the monitoring information of the infrared camera and identify the ship and birds, and to collect the information obtained by the distance sensor to determine the distance.
[0035] In another preferred embodiment of the above-mentioned sea situation warning system for deep sea wind turbines, the image acquisition component 3 can be preferably an infrared camera, and the control device 2 has an AIS module and a deep learning module that are connected to the infrared camera in communication, the AIS module is used to obtain the ship AIS information from the image, and the deep learning module is used to identify the ship type and bird information through training. Specifically, in this case, for ships, the AIS module in the control module will automatically record and collect the AIS information of ships entering the sea area, and at the same time use the convolutional neural network in the deep learning algorithm to train the YOLOv5 model through the ship data set, use the YOLOv5 algorithm to automatically identify and extract ship information, and use the AIS module and deep learning algorithm to determine the ship type, such as merchant ships, fishing boats, ships with incomplete information or ships without AIS signals. When a ship with incomplete information, no AIS signal, and a ship that enters the sea area of the wind farm multiple times is detected, the on-site information is transmitted to the staff of the control center, and the staff decides whether to continue tracking the ship. For birds, the YOLOv5 model in the control module identifies bird information through training, and turns on the alarm when the camera monitoring identifies birds. Further, continue to refer to Figure 3 The alarm device can preferably be an audible and visual alarm, which is used to send audible and visual warning signals to external ships and birds that have mistakenly entered the wind farm management area. In low visibility conditions such as at night, this indicator light can be set to stay on for a long time to warn ships and illuminate ships that have mistakenly entered the wind farm, thereby reducing the probability of ships colliding with wind turbines due to insufficient visibility when turning around and adjusting, ensuring that the wind farm wind turbines are not damaged. A protective device 10 is also arranged on the periphery of the alarm device in a surrounding manner. The protective device 10 protects the alarm device from being damaged.
[0036] In summary, the above-mentioned solution provided in this application utilizes infrared cameras and a variety of ranging sensors to conduct 24-hour real-time monitoring and tracking of ships and birds that stray into offshore wind farms, and adopts sound and light warning methods to quickly and timely warn and drive away ships and birds. Compared with the early warning system that only monitors ships, it has the advantages of more application scenarios and accurate early warnings. At the same time, it is equipped with arc guide rails to achieve 360-degree surround monitoring. Compared with fixed detection devices, it has the advantage of a wide monitoring range. In addition, bird repelling equipment is installed to achieve multi-means of bird repelling while providing power for the monitoring and early warning device, which has the advantage of diverse power supply energy.
[0037] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present invention. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.
Claims
1. A sea condition warning system for deep sea wind turbines, characterized in that: The invention comprises a control device, an image acquisition device, a distance measuring device and an alarm device which are installed on a supporting body. The image acquisition device, the distance measuring device and the alarm device are all communicatively connected with the control device. The invention also comprises a power supply device which is electrically connected with the control device, the image acquisition device, the distance measuring device and the alarm device. The control device is used to control the image acquisition device to acquire on-site images in real time for monitoring. The control device is used to control the alarm device to sound an alarm when the distance measuring device detects that the distance of an external object is less than a distance threshold.
2. The sea condition warning system for deep sea wind turbines according to claim 1 is characterized in that: The image acquisition device, the distance measurement device and the alarm device are all connected to the control device for communication via a wireless communication device, and the wireless communication device is also electrically connected to the power supply device.
3. The sea condition warning system for deep sea wind turbines according to claim 2 is characterized in that: The support body includes a support base for installation on an offshore wind turbine platform and a support rod fixed on the support base, and the image acquisition device, the distance measuring device, the alarm device and the control device are all fixed on the support rod, the alarm device is installed on the top of the support rod, the image acquisition device is arranged on the side of the support rod, and the distance measuring device is arranged at the bottom of the image acquisition device.
4. The sea condition warning system for deep sea wind turbines according to claim 3 is characterized in that: The offshore wind turbine platform is provided with an annular guide rail surrounding the offshore wind turbine tower. The support seat is installed on the annular guide rail using a slider arranged at the bottom, and the slider is also connected to a driving device, which is used to drive the slider to move along the annular guide rail to enable the support seat to rotate around the offshore wind turbine tower.
5. The sea condition warning system for deep sea wind turbines according to claim 4 is characterized in that: The power supply device includes a solar panel and a small wind power generation device, both of which are electrically connected to a battery, wherein the small wind power generation device is installed on the support pole, and the battery is used to directly connect to the image acquisition device, the distance measuring device, the alarm device, the control device and the wireless communication device.
6. The sea condition warning system for deep sea wind turbines according to claim 5 is characterized in that: The small wind power generation device has a plurality of blades, and the surfaces of the blades are all provided with reflective devices.
7. The sea condition warning system for deep sea wind turbines according to claim 6 is characterized in that: The blade is also provided with a slot for containing bird repellent.
8. The sea condition warning system for deep sea wind turbines according to claim 7 is characterized in that: The distance measuring device is an infrared distance measuring sensor and / or an ultrasonic sensor and / or a laser radar, and the control device is used to obtain a final distance value after weighted calculation based on the distances measured by multiple measuring devices.
9. The sea condition warning system for deep sea wind turbines according to claim 8 is characterized in that: The image acquisition device is an infrared camera, and the control device has an AIS module and a deep learning module that are communicatively connected to the infrared camera. The AIS module is used to acquire ship AIS information from the image, and the deep learning module is used to identify ship types and bird information through training.
10. The sea condition warning system for deep sea wind turbines according to any one of claims 1 to 9, characterized in that: The alarm device is an audible and visual alarm, and a protective device is also arranged around the periphery of the alarm device.