CN117636604A - Early warning monitoring platform for offshore wind farm - Google Patents
Early warning monitoring platform for offshore wind farm Download PDFInfo
- Publication number
- CN117636604A CN117636604A CN202311519574.5A CN202311519574A CN117636604A CN 117636604 A CN117636604 A CN 117636604A CN 202311519574 A CN202311519574 A CN 202311519574A CN 117636604 A CN117636604 A CN 117636604A
- Authority
- CN
- China
- Prior art keywords
- monitoring
- main control
- control unit
- sensor
- data
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000012544 monitoring process Methods 0.000 title claims abstract description 81
- 238000004891 communication Methods 0.000 claims abstract description 24
- 238000012545 processing Methods 0.000 claims abstract description 20
- 230000007613 environmental effect Effects 0.000 claims abstract description 16
- 230000002159 abnormal effect Effects 0.000 claims abstract description 13
- 238000007405 data analysis Methods 0.000 claims abstract description 8
- 238000010191 image analysis Methods 0.000 claims abstract description 6
- 238000012423 maintenance Methods 0.000 claims description 19
- 238000004458 analytical method Methods 0.000 claims description 9
- 230000004044 response Effects 0.000 claims description 4
- 230000000007 visual effect Effects 0.000 claims description 3
- 238000000034 method Methods 0.000 description 10
- 239000013535 sea water Substances 0.000 description 7
- 230000005540 biological transmission Effects 0.000 description 5
- 238000005516 engineering process Methods 0.000 description 5
- 230000008569 process Effects 0.000 description 5
- 238000013461 design Methods 0.000 description 4
- 230000001965 increasing effect Effects 0.000 description 4
- 238000003745 diagnosis Methods 0.000 description 3
- 238000011156 evaluation Methods 0.000 description 3
- 238000010586 diagram Methods 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 230000004927 fusion Effects 0.000 description 2
- 230000007246 mechanism Effects 0.000 description 2
- 230000008447 perception Effects 0.000 description 2
- 206010063385 Intellectualisation Diseases 0.000 description 1
- 238000013473 artificial intelligence Methods 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 230000001934 delay Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000002708 enhancing effect Effects 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 238000010801 machine learning Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000035772 mutation Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000008092 positive effect Effects 0.000 description 1
- 230000036632 reaction speed Effects 0.000 description 1
- 230000008439 repair process Effects 0.000 description 1
- 238000012549 training Methods 0.000 description 1
Landscapes
- Wind Motors (AREA)
Abstract
The invention belongs to the technical field of safety early warning, and discloses an early warning monitoring platform for an offshore wind farm, which comprises a main control unit, a sensor system, an image camera system and a GPS module; the main control unit comprises a processor and a communication module, and is used for data processing and control logic; the sensor system comprises a meteorological sensor, a hydrological sensor and a vibration sensor and is used for acquiring environmental data; the image camera system is arranged on the monitoring table and used for capturing real-time images of wind power facilities; the GPS module is used for acquiring the position information of the monitoring station and the wind power facilities; the main control unit judges whether the wind power facility is in a safe state according to the sensor data and a preset safety standard; when the main control unit monitors abnormal conditions, the main control unit sends out an early warning signal and transmits a real-time image to a monitoring center; and the monitoring center judges whether emergency measures need to be taken according to the image and data analysis results.
Description
Technical Field
The invention belongs to the technical field of safety early warning, and particularly relates to an early warning and monitoring table for an offshore wind farm.
Background
In recent years, with the increasing demand of energy and the increasing awareness of environmental protection, offshore wind farms are becoming an important source of clean energy as an important component of renewable energy. The offshore wind farm has the advantages of abundant wind energy resources, small occupied area, relatively low environmental impact and the like, so that the offshore wind farm is widely concerned and invested. However, due to the particularities of offshore environments, operational and safety management of offshore wind farms faces a series of challenges.
(1) Complex marine environment: offshore wind farms are in a severe marine environment and are affected by sea waves, currents, sea conditions and other factors that affect the stability and safety of the wind farm.
(2) Weather mutation: offshore wind farms are susceptible to meteorological factors such as wind speed, wind direction, etc., and sudden meteorological changes lead to damage of wind power facilities or generation of safety risks.
(3) Remote sea area: offshore wind farms are often built in areas of the sea remote from the land, and once problems occur, emergency disposal is limited, so a technical means capable of remote monitoring and early warning is required.
(4) Device status monitoring is difficult: offshore wind power facilities are widely distributed, equipment state monitoring is difficult, and a method capable of acquiring and analyzing equipment states in real time is needed.
(5) The safety requirement is high: due to the special nature of wind power facilities, the safety requirements are extremely high, and serious environmental and economic problems can be caused once faults or accidents occur.
The closely related prior art of the scheme of the invention is a wind farm remote monitoring system based on the Internet of things (IoT). Such a system also includes a main control unit, various sensors, a camera system, and a GPS module. The main control unit is responsible for processing and analyzing data from the sensors and cameras, and the GPS module provides location information so that the source of the problem can be quickly found when a fault or other problem occurs.
However, this prior art has several major technical problems:
1. the data processing capacity is limited: because wind farms are typically large in scale, each wind farm is equipped with multiple sensors and cameras, and therefore, large amounts of monitoring data are generated each day. Existing processors and algorithms cannot process these data quickly and efficiently, resulting in delays in data analysis that miss timely responses to emergency situations.
2. Communication problems: in an offshore environment, stability and reliability of wireless communication cannot be ensured due to the change of weather conditions and the influence of sea water. This results in interruption of data transmission, affecting the normal operation of the system.
3. Energy supply problem: in an offshore environment, continuous energy supply is an important issue. The prior art has no effective energy management system, so that monitoring equipment cannot work normally under the condition of insufficient energy.
4. Maintenance is difficult: because of the special position of the offshore wind power facility, the existing monitoring system cannot perform effective remote maintenance and fault diagnosis, so that when equipment is in a problem, personnel are required to go to the site for overhauling in person, and maintenance cost and risk are increased.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides an early warning and monitoring platform for an offshore wind farm.
The invention is realized in such a way that the early warning monitoring platform for the offshore wind farm comprises a main control unit, a sensor system, an image camera system and a GPS module;
the main control unit comprises a processor and a communication module, and is used for data processing and control logic;
the sensor system comprises a meteorological sensor, a hydrological sensor and a vibration sensor and is used for acquiring environmental data;
the image camera system is arranged on the monitoring table and used for capturing real-time images of wind power facilities;
the GPS module is used for acquiring the position information of the monitoring station and the wind power facilities;
the main control unit judges whether the wind power facility is in a safe state according to the sensor data and a preset safety standard;
when the main control unit monitors abnormal conditions, the main control unit sends out an early warning signal and transmits a real-time image to a monitoring center;
and the monitoring center judges whether emergency measures need to be taken according to the image and data analysis results.
Further, the meteorological sensors are used for measuring wind speed, wind direction and atmospheric pressure.
Further, the hydrological sensor is used for measuring sea wave height, sea water temperature and salinity.
Further, the vibration sensor is used for detecting vibration conditions of the wind power facility.
Further, the communication module transmits data and early warning signals through a wireless communication network.
Further, the early warning signal is sent out by means of sound, light signals and remote notification.
Further, the GPS module is used for determining accurate position information of the monitoring station and the wind power facility.
Furthermore, the main control unit can adjust early warning standards and measures according to different wind power facility types and environmental conditions.
Further, the monitoring station also comprises a database for storing historical data, early warning records and equipment state information.
Further, the image camera system can shoot all parts of the wind power facility in real time so as to conduct detailed state analysis and judgment.
In combination with the technical scheme and the technical problems to be solved, the technical scheme to be protected has the following advantages and positive effects:
first, in existing offshore wind farm operations and maintenance, problems of complex marine environments, abrupt weather conditions, and remote sea locations, etc. make wind power facilities vulnerable to damage or safety risks. The traditional monitoring means are limited, and the state of wind power facilities cannot be obtained in real time, so that early warning cannot be performed in time and emergency measures cannot be taken, and the operation risk of the offshore wind power plant is increased. Aiming at the problems, the technical scheme of the early warning and monitoring platform for the offshore wind farm, disclosed by the invention, realizes real-time monitoring and remote early warning of wind power facilities by integrating various sensors, cameras and communication modules, thereby effectively solving the technical problems faced by the prior art.
The key innovation of the invention is that a plurality of sensor systems are organically combined with an image camera system, marine environment data, equipment state data and image data are processed and analyzed in real time through a main control unit, and the running state of the wind power facility is rapidly judged based on a preset safety standard. Once the abnormal condition is detected, the system can send out an early warning signal in time and transmit a real-time image to a monitoring center, so that detailed information is provided for operation and maintenance personnel, and the operation and maintenance personnel can respond and make a decision quickly. The innovative technology not only solves the problems of the offshore wind power plant in terms of data acquisition, monitoring and early warning, but also realizes the intellectualization of the operation and maintenance of the wind power facilities, reduces the risk of accidents, and improves the safety and stability of the offshore wind power plant.
In summary, the technical scheme of the early warning and monitoring platform for the offshore wind farm realizes real-time monitoring and remote early warning of wind power facilities by integrating various sensors and image cameras, solves the problems of insufficient monitoring, untimely early warning and the like in the prior art, provides powerful support for safe and stable operation of the offshore wind farm, and has remarkable innovation and practical effects.
Secondly, environmental data including key indexes such as weather, hydrology and vibration are acquired in real time through various sensors, so that comprehensive perception of the surrounding environment of the wind power facility is realized. The wind power facility state evaluation method and the wind power facility state evaluation system enable the state evaluation of the wind power facility to be more accurate, can quickly respond under abrupt changes of wind speed, wind direction, sea wave and the like, and effectively avoid influences of meteorological factors on the wind power facility.
By capturing images of the wind power facilities in real time, the technical scheme can realize visual monitoring of all parts of the facilities and provide more detailed state information. Therefore, operation and maintenance personnel can rapidly judge the working state and damage condition of the facility, and the monitoring accuracy and the reaction speed are further improved.
Through the data processing and analysis of the main control unit, the technical scheme can judge whether the wind power facility is in a safe state in real time according to the preset safety standard, and send out an early warning signal under the abnormal condition. The intelligent monitoring and early warning mechanism greatly improves the safety of the wind power plant and reduces accident risks.
In general, the technical scheme of the early warning and monitoring platform for the offshore wind farm to be protected has multiple technical advantages, including comprehensive environmental perception, real-time visual monitoring, intelligent early warning and the like, and the advantages provide innovative and efficient guarantee for safe operation of the offshore wind farm.
Thirdly, the early warning and monitoring platform for the offshore wind farm provided by the invention has obvious progress in technology, and is mainly characterized in the following aspects:
1. multisensor fusion: the invention adopts a plurality of sensors such as a meteorological sensor, a hydrological sensor, a vibration sensor and the like, and realizes the comprehensive monitoring of the surrounding environment of the wind power facility. The sensors can collect various data simultaneously, provide comprehensive environmental information, and improve the accuracy and reliability of monitoring.
2. And (3) intelligent treatment: the main control unit of the invention adopts advanced processor and algorithm, and can carry out intelligent processing and analysis on the acquired data. Through the preset safety standard, the safety state of the wind power facility can be automatically judged, and an early warning signal is timely sent out, so that the requirement of manual intervention is reduced, and the working efficiency is improved.
3. Real-time image transmission: the image camera system can capture images of wind power facilities in real time and transmit the images to a monitoring center through the communication module. The staff can know the condition of wind power facilities in time through real-time images, and powerful support is provided for decision making and processing.
GPS positioning: the invention adopts the GPS module, and can acquire the position information of the monitoring station and the wind power facilities. The information can provide important references for the layout and management of the wind power plant, and the operation efficiency and management level of the wind power plant are improved.
5. And (3) modular design: the invention adopts a modularized design, and each part can work independently or can be used in combination. The design method improves the flexibility and the expandability of the system, and is convenient for users to customize and expand according to actual demands.
The early warning and monitoring platform for the offshore wind farm provided by the invention has the advantages of multi-sensor fusion, intelligent processing, real-time image transmission, GPS positioning, modularized design and the like, and provides powerful guarantee for safe and reliable operation of the offshore wind farm.
Drawings
FIG. 1 is a cross-sectional view of the interior of an early warning and monitoring station for an offshore wind farm, provided by the embodiment of the invention;
FIG. 2 is an external schematic diagram of an early warning and monitoring station for an offshore wind farm, provided by the embodiment of the invention;
FIG. 3 is a flowchart of a method for using an early warning and monitoring station for an offshore wind farm.
In the figure: 1. a processor; 2. a communication module; 3. a weather sensor; 4. a hydrological sensor; 5. a vibration sensor; 6. an image camera system; 7. a GPS module; 8. and (5) a database.
Detailed Description
The present invention will be described in further detail with reference to the following examples in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
As shown in FIG. 1, the embodiment of the invention provides an internal cross-sectional view of an early warning and monitoring station for an offshore wind farm.
Fig. 2 is an external schematic diagram of an early warning and monitoring station for an offshore wind farm according to the embodiment of the invention.
As shown in fig. 1 and 2, the invention is realized in such a way that the early warning and monitoring platform for the offshore wind farm comprises a main control unit 1, a main control unit 2, a sensor system 3, a sensor system 4, a sensor system 5, an image camera system 6 and a GPS module 7;
the main control unit 1 and the main control unit 2 comprise a processor 1 and a communication module 2 and are used for data processing and control logic;
the sensor system 3, the sensor system 4 and the sensor system 5 comprise a meteorological sensor 3, a hydrological sensor 4 and a vibration sensor 5 and are used for acquiring environmental data;
the image camera system 6 is arranged on the monitoring table and is used for capturing real-time images of wind power facilities;
the GPS module 7 is used for acquiring the position information of the monitoring station and the wind power facilities;
the main control unit 1 and the main control unit 2 judge whether the wind power facilities are in a safe state according to the sensor data and a preset safety standard;
the main control unit 1 and the main control unit 2 send out early warning signals when abnormal conditions are monitored, and transmit real-time images to a monitoring center;
and the monitoring center judges whether emergency measures need to be taken according to the image and data analysis results.
Further, the meteorological sensor 3 is used for measuring wind speed, wind direction and barometric pressure.
Further, the hydrological sensor 4 is used for measuring sea wave height, sea water temperature and salinity.
Further, the vibration sensor 5 is used for detecting vibration conditions of the wind power facility.
Further, the communication module 2 transmits data and early warning signals through a wireless communication network.
Further, the early warning signal is sent out by means of sound, light signals and remote notification.
Further, the GPS module 7 is used for determining accurate position information of the monitoring station and the wind power facility.
Furthermore, the main control unit 1 and the main control unit 2 can adjust early warning standards and measures according to different wind power facility types and environmental conditions.
Further, the monitoring station also includes a database 8 for storing historical data, pre-warning records and device status information.
Further, the image camera system 6 can shoot each part of the wind power facility in real time to perform detailed state analysis and judgment.
In the signal and data processing process, each module of the early warning and monitoring platform for the offshore wind farm has a definite division and cooperative work mechanism.
And (3) data acquisition: first, the GPS module continuously acquires and provides accurate position information of the monitoring stations and the wind power facilities. The sensor system comprises a meteorological sensor, a hydrological sensor and a vibration sensor, and can acquire environmental data such as wind speed, wind direction, humidity, temperature, seawater level, seawater temperature, equipment vibration and the like in real time. Meanwhile, the image camera system can capture real-time images of the wind power facilities.
Data processing and analysis: the data and real-time images collected above are transmitted to the main control unit. The processor in the main control unit will process and analyze this data. The processor can compare and judge meteorological, hydrological and vibration data according to preset safety standards so as to determine whether the wind power facility is in a safe state or not.
Early warning and notification: if the main control unit judges that the wind power facilities have safety risks, an early warning program is started. The main control unit can send out an early warning signal through the communication module and transmit the real-time image and related data to the remote monitoring center.
Remote response: after receiving the early warning signal, the monitoring center further analyzes the received real-time image and data to determine whether emergency measures need to be taken, such as suspending facility operation, dispatching maintenance team, and the like.
Through the steps, the early warning monitoring platform for the offshore wind farm can monitor the running state and the surrounding environment of the wind power facility in real time, and can timely discover and respond to the safety risk through the early warning system, so that the running safety and the running efficiency of the wind power facility are greatly improved.
As shown in fig. 3, the method for using the early warning and monitoring station for the offshore wind farm comprises the following steps:
step 1: installing; in the offshore wind farm, the early warning monitoring stations are placed at proper positions, so that the image camera system 6 can comprehensively capture real-time images of wind power facilities, and the GPS module 7 can acquire accurate position information of the monitoring stations and the wind power facilities.
Step 2: starting; and starting the early warning monitoring platform, and starting the main control unit to work. The processor 1 and the communication module 2 start to perform data processing and the operation of the control logic.
Step 3: collecting data; the sensor system 3, the sensor system 4 and the sensor system 5 start to collect environmental data, including wind speed, wind direction and atmospheric pressure measured by the meteorological sensor 3, sea wave height, sea water temperature and salinity measured by the hydrological sensor 4 and vibration conditions of the wind power facility detected by the vibration sensor 5.
Step 4: analyzing and judging data; and the main control unit analyzes and judges the running state of the wind power facility in real time according to the sensor data and a preset safety standard. If the data is abnormal or exceeds the safety range, the system can judge that the wind power facilities have potential safety hazards.
Step 5: sending out an early warning signal; when the main control unit monitors abnormal conditions, an early warning signal is sent out. The early warning signal can be sent out through sound, optical signal or even remote notification to remind operation and maintenance personnel of the problem.
Step 6: transmitting real-time images; the main control unit transmits the real-time image to the monitoring center through the image camera system 6, and the operation and maintenance personnel can acquire detailed wind power facility state information through the image.
Step 7: an emergency measure decision; and the monitoring center judges whether emergency measures need to be taken according to the image and data analysis results. According to actual conditions, the measures such as fan rotating speed and stopping can be adjusted so as to ensure the safe operation of wind power facilities.
By using the early warning and monitoring platform for the offshore wind farm, real-time monitoring and remote early warning of the wind farm can be realized, and the safety and stability of the offshore wind farm are improved, so that stable supply of clean energy is ensured.
The working principle of the early warning monitoring platform for the offshore wind farm is as follows: the sensor system comprises a meteorological sensor, a hydrological sensor and a vibration sensor, and environmental data such as wind speed, wind direction, sea wave height, sea water temperature, salinity and vibration conditions of wind power facilities are continuously collected. These data are transmitted to the main control unit via the communication module, where they are processed and analyzed in real time by the processor. The main control unit judges whether the state of the wind power facility is in a safety range or not based on a preset safety standard and combined with sensor data. Once the abnormal condition is monitored, the main control unit sends out an early warning signal, and the early warning signal is transmitted to operation and maintenance personnel in a sound, light signal or remote notification mode, and meanwhile, a real-time image is transmitted to the monitoring center from the image camera system. And the monitoring center decides whether emergency measures need to be taken according to the image and data analysis results, so that safe operation of the wind power facilities is ensured. The intelligent system enables the offshore wind farm to realize real-time monitoring and remote early warning in a complex marine environment, improves operation and maintenance efficiency, reduces safety risks, and ensures stable supply of clean energy.
Detailed description of the working principle of the invention: the invention provides an early warning monitoring table for an offshore wind farm, which is a device for monitoring the safety state of the offshore wind farm. The system mainly comprises a main control unit, a sensor system, an image camera system and a GPS module.
First, the sensor system includes meteorological sensors, hydrological sensors, and vibration sensors for collecting meteorological data, hydrological data, and vibration data, respectively, around the wind power plant. After this data is collected, it is transmitted to the main control unit.
The main control unit includes a processor and a communication module. The processor is responsible for processing the data transmitted from the sensor system and judging whether the wind power facility is in a safe state according to a preset safety standard. If the processor judges that the wind power facility is in an unsafe state, the processor controls the communication module to send out an early warning signal.
The image camera system is installed on the monitoring table and used for capturing real-time images of wind power facilities. When the main control unit judges that the wind power facility is in an unsafe state, the image camera system can transmit real-time images to the monitoring center, so that workers can know and process the conditions in time.
The GPS module is used for acquiring the position information of the monitoring station and the wind power facilities. This information can be used by the main control unit to determine the specific location of the wind power installation and thus to determine its safety status more accurately.
According to the early warning monitoring platform for the offshore wind farm, whether the wind power facility is in a safe state is judged by collecting environmental data around the wind power facility and combining with a preset safety standard. When abnormal conditions are monitored, an early warning signal is sent out and a real-time image is transmitted to a monitoring center, so that workers can process the abnormal conditions in time, and the safety and reliability of the offshore wind farm are improved.
Example 1: marine wind power plant early warning monitoring platform based on AI and big data
1) Enhancing data processing capabilities: artificial intelligence and big data processing techniques are introduced to enhance data processing capabilities. Through a machine learning algorithm, the training model automatically identifies and classifies different abnormal conditions, and the speed and accuracy of data processing are improved.
2) Optimizing a communication system: more powerful communication modules and more advanced communication protocols, such as 5G or satellite communication, are used to improve the stability and reliability of data transmission.
3) A solar power supply system is introduced: and a solar panel is arranged on the monitoring table, solar energy is used for supplying power to the monitoring equipment, and dependence on electric power of a power grid is reduced.
4) Providing a remote maintenance function: by introducing remote maintenance and fault diagnosis functions, the problems can be rapidly positioned and solved when the problems occur, and the requirement of personnel on-site maintenance is reduced.
Example 2: marine wind farm early warning monitoring platform based on internet of things (IoT)
1) The technology of the Internet of things is used: through the internet of things technology, all the sensors and the devices are interconnected and intercommunicated, and real-time sharing and analysis of data are realized.
2) Edge calculation is introduced: and (3) deploying edge computing nodes on each wind power facility of the offshore wind power plant, so that data processing and analysis are performed at a source of data generation, the data transmission requirement is reduced, and the response speed of the system is improved.
3) Optimizing energy management: an intelligent energy management system is introduced, and the system automatically adjusts the working state of equipment according to the current energy condition, so that the normal operation of the system can be ensured under the condition of insufficient energy.
4) Self-maintenance and self-repair are realized: by introducing self-maintenance and self-repair technology, the system automatically performs fault diagnosis and repair when a problem occurs, and reduces the need of manual intervention.
The foregoing is merely illustrative of specific embodiments of the present invention, and the scope of the invention is not limited thereto, but any modifications, equivalents, improvements and alternatives falling within the spirit and principles of the present invention will be apparent to those skilled in the art within the scope of the present invention.
Claims (10)
1. The early warning monitoring platform for the offshore wind farm is characterized by comprising a main control unit, a sensor system, an image camera system and a GPS module;
the main control unit comprises a processor and a communication module, and is used for data processing and control logic;
the sensor system comprises a meteorological sensor, a hydrological sensor and a vibration sensor and is used for acquiring environmental data;
the image camera system is arranged on the monitoring table and used for capturing real-time images of wind power facilities;
the GPS module is used for acquiring the position information of the monitoring station and the wind power facilities;
the main control unit judges whether the wind power facility is in a safe state according to the sensor data and a preset safety standard;
when the main control unit monitors abnormal conditions, the main control unit sends out an early warning signal and transmits a real-time image to a monitoring center;
and the monitoring center judges whether emergency measures need to be taken according to the image and data analysis results.
2. The pre-warning and monitoring station for an offshore wind farm according to claim 1, wherein the main control unit comprises a processor and a communication module, wherein the processor is responsible for processing and analyzing data from the sensor system and the image camera system, and the communication module is responsible for transmitting the data and the pre-warning signals to the remote monitoring center.
3. The pre-warning and monitoring station for an offshore wind farm according to claim 1, wherein the sensor system comprises a weather sensor, a hydrological sensor and a vibration sensor that collect weather, hydrological and equipment vibration data around the wind farm in real time.
4. The pre-warning monitoring station for the offshore wind farm according to claim 1, wherein the image camera system is installed on the monitoring station to continuously capture real-time images of wind power facilities and provide visual information for state analysis of the wind power facilities.
5. The pre-warning monitoring station for an offshore wind farm according to claim 1, wherein the GPS module is configured to obtain accurate location information of the monitoring station and the wind farm, and to provide an important reference for data analysis and emergency response.
6. The pre-warning and monitoring station for the offshore wind farm according to claim 1, wherein the main control unit determines whether the wind farm is in a safe state through an algorithm according to data from a sensor system and a preset safety standard.
7. The pre-warning monitoring station for the offshore wind farm according to claim 1, wherein the main control unit starts a pre-warning program when monitoring that the wind power facility state is abnormal or reaches a preset risk threshold value, sends a pre-warning signal, and transmits a real-time image and related data to a remote monitoring center.
8. The pre-warning monitoring station for the offshore wind farm according to claim 1, wherein after the monitoring center receives the pre-warning signal, the monitoring center further analyzes and judges according to the received real-time image and data to determine whether emergency measures need to be taken, such as suspending operation of facilities, dispatching maintenance team, and adjusting parameters of the facilities.
9. The pre-warning and monitoring station for the offshore wind farm according to claim 1, wherein the image camera system can shoot all parts of the wind power facility in real time, including but not limited to blades, towers, generators and frequency converters, so as to perform detailed state analysis and judgment.
10. The pre-warning and monitoring station for an offshore wind farm according to claim 1, wherein the pre-warning signal is sent out in a variety of ways, including but not limited to sound, light signals and remote notification, to ensure that relevant personnel can receive and take corresponding measures in time.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311519574.5A CN117636604A (en) | 2023-11-14 | 2023-11-14 | Early warning monitoring platform for offshore wind farm |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311519574.5A CN117636604A (en) | 2023-11-14 | 2023-11-14 | Early warning monitoring platform for offshore wind farm |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN117636604A true CN117636604A (en) | 2024-03-01 |
Family
ID=90027902
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311519574.5A Pending CN117636604A (en) | 2023-11-14 | 2023-11-14 | Early warning monitoring platform for offshore wind farm |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117636604A (en) |
-
2023
- 2023-11-14 CN CN202311519574.5A patent/CN117636604A/en active Pending
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102053596B (en) | Intelligent analyzing monitoring device and method of wind power plant and wind power engine room | |
| CN114373245B (en) | Intelligent inspection system based on digital power plant | |
| KR102084783B1 (en) | System for managing the operation of Photovoltaic Power Generation based on machine learning | |
| CN201569426U (en) | High-pressure power transmission pole tower incline situation monitoring device | |
| CN111784954B (en) | Anti-external-damage alarm device and method for overhead transmission line | |
| CN103323753A (en) | Ultraviolet partial discharge on-line monitoring system based on photon-type positioning | |
| CN111932816B (en) | Fire alarm management method and device for offshore wind farm and island microgrid | |
| CN105785925A (en) | Remote monitoring system for offshore wind turbine generator | |
| CN106194599A (en) | System and method for monitoring safety of wind generating set in wind power plant | |
| KR20190083857A (en) | Power breaker system and method for thunderbolt identification sensor | |
| CN110905736A (en) | Fan operation monitoring system | |
| CN110429914A (en) | The intelligent positioning system and method for photovoltaic array based on technology of Internet of things | |
| CN117474250A (en) | New energy multifunctional integrated intelligent application system | |
| CN112308248A (en) | Monitoring and managing system and method for power transmission line tower | |
| CN117636604A (en) | Early warning monitoring platform for offshore wind farm | |
| CN111486901A (en) | Remote real-time monitoring system for ocean water environment | |
| CN116722641A (en) | Low-power-consumption operation system of node equipment of Internet of things | |
| CN204082446U (en) | Based on the offshore wind farm unit comprehensive monitoring system of 6LoWPAN radio sensing network | |
| CN212231166U (en) | Cross-station wide-area offshore wind power production centralized control system | |
| CN111486062B (en) | Intelligent safety monitoring method and system for wind generating set tower | |
| CN109780451B (en) | Power plant speed regulator oil circuit inspection method based on machine vision | |
| CN113642478A (en) | Intelligent operation and maintenance platform | |
| CN207573079U (en) | A kind of power circuit monitoring management device and system | |
| CN216012338U (en) | Wireless remote cable atmospheric environment parameter monitoring device | |
| CN217504976U (en) | Online vibration state monitoring device of wind generating set |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |