CN111126734A - Offshore wind farm dispatching management system - Google Patents
Offshore wind farm dispatching management system Download PDFInfo
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- CN111126734A CN111126734A CN201811291857.8A CN201811291857A CN111126734A CN 111126734 A CN111126734 A CN 111126734A CN 201811291857 A CN201811291857 A CN 201811291857A CN 111126734 A CN111126734 A CN 111126734A
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06311—Scheduling, planning or task assignment for a person or group
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/06—Electricity, gas or water supply
Abstract
The application relates to an offshore wind farm scheduling management system, the system includes: the wind power plant meteorological forecasting subsystem is used for acquiring and processing wind power plant meteorological data to obtain wind power plant meteorological forecasting data; the system comprises a marine meteorological forecasting subsystem, a wind power generation subsystem and a wind power generation subsystem, wherein the marine meteorological forecasting subsystem is used for acquiring and processing collected marine meteorological data of a sea area to which a wind power station belongs to obtain marine meteorological forecasting data; and the comprehensive management subsystem is used for scheduling ships and personnel belonging to the wind power plant according to the wind power plant weather forecast data and the ocean weather forecast data. By adopting the system, the offshore wind power plant dispatching management can be intelligently and informationized.
Description
Technical Field
The application relates to the technical field of wind power generation, in particular to an offshore wind farm dispatching management system.
Background
With the increasing demand for clean renewable energy and the gradual reduction of the exploitable amount of onshore wind farms, the development of offshore wind farms is faster and faster.
During the construction and operation of the wind power plant, weather and sea wave conditions have great influence on daily production, operation and maintenance of the offshore wind power plant, and extreme weather also has great influence on safe production of the wind power plant, so that management related to the wind power plant and related personnel and ships faces great challenges. At present, the dispatching management of the offshore wind farm only judges the ship going out of the sea construction plan manually according to limited weather forecast.
Therefore, how to intelligently perform scheduling management of the offshore wind farm becomes a technical problem to be solved urgently by current technical personnel.
Disclosure of Invention
In view of the above, it is necessary to provide an offshore wind farm scheduling management system capable of intelligently performing scheduling management of an offshore wind farm in order to solve the above-described technical problems.
An offshore wind farm dispatch management system, the system comprising:
the wind power plant meteorological forecasting subsystem is used for acquiring and processing wind power plant meteorological data to obtain wind power plant meteorological forecasting data;
the system comprises a marine meteorological forecasting subsystem, a wind power generation subsystem and a wind power generation subsystem, wherein the marine meteorological forecasting subsystem is used for acquiring and processing collected marine meteorological data of a sea area to which a wind power station belongs to obtain marine meteorological forecasting data;
and the comprehensive management subsystem is used for scheduling ships and personnel belonging to the wind power plant according to the wind power plant weather forecast data and the ocean weather forecast data.
In one embodiment, the integrated management subsystem includes:
the evaluation module is used for evaluating the operation safety level according to the wind power plant weather forecast data and the ocean weather forecast data, and determining an operable area and operable time according to the operation safety level;
and the scheduling module is used for scheduling ships and personnel belonging to the wind power plant according to the operable time and the operable area.
In one embodiment, the scheduling module includes:
the automatic identification system AIS station of the ship is used for carrying out AIS communication with the ship;
a Very High Frequency (VHF) station for VHF communication with the ship;
and the VHF relay station is used for forwarding VHF communication information between the offshore wind farm dispatching management system and the ship.
In one embodiment, the wind farm weather forecast data includes at least one of: long-term forecast data of the first meteorological element, short-term forecast data of the second meteorological element and lightning forecast data;
wherein the first weather element comprises at least one of: air temperature, air pressure, relative humidity, wind direction, wind speed and precipitation; the second meteorological element comprises at least one of: rainstorm, short duration strong wind, hail, low visibility; the lightning forecast data comprises at least one of: lightning location data and short-term lightning early warning data.
In one embodiment, the weather forecast data includes forecast data for a third meteorological element, the third meteorological element including at least one of: effective wave height, average wave direction, average wave period and effective wave height.
In one embodiment, the system further comprises:
and the ship management subsystem is used for tracking the position of the ship belonging to the wind power plant and acquiring the position information of the ship.
In one embodiment, the ship management subsystem includes:
the AIS transmitter is arranged on the ship and used for transmitting ship position information to an AIS base station and/or an AIS satellite;
the first AIS receiver is used for receiving ship position information forwarded by the AIS base station and/or the AIS satellite and sending the ship position information to the ship monitoring server;
and the ship monitoring server is used for acquiring the ship position information and sending the ship position information to the comprehensive management subsystem.
In one embodiment, the system further comprises: a personnel management subsystem, the personnel management subsystem comprising: the system comprises a personnel tracking card detection device and a personnel monitoring server;
and the personnel tracking card detection device is used for detecting the personnel tracking card, obtaining personnel position information corresponding to the personnel tracking card and sending the personnel position information to the personnel monitoring server.
In one embodiment, the personnel management subsystem further comprises: the second AIS receiver is used for receiving the drowning positioning information forwarded by the AIS base station and/or the AIS satellite and sending the drowning positioning information to the comprehensive management subsystem, and the drowning information is sent out by the personnel drowning emergency position indicating device;
the comprehensive management subsystem is also used for sending an alarm of falling into water according to the positioning information of falling into water, determining a rescue ship according to the positioning information of falling into water and the position information of the ship, and indicating the rescue ship to carry out rescue operation.
In one embodiment, the integrated management subsystem is further configured for visualization of at least one of: map information of an area to which the wind power plant belongs, the wind power plant weather forecast data, the oceanographic weather forecast data, the ship position information, the personnel position information and the drowning positioning information.
The offshore wind farm scheduling management system can integrate wind farm weather forecast data and oceanic weather forecast data, and schedule ships and personnel belonging to the wind farm according to the wind farm weather forecast data and the oceanic weather forecast data, so that the offshore wind farm scheduling management can be intelligently and informationally carried out.
Drawings
FIG. 1 is a diagram of a first block diagram of an offshore wind farm dispatch management system in one embodiment;
FIG. 2 is a schematic diagram of a wind farm weather forecast subsystem in one embodiment;
FIG. 3 is a block diagram of a wind farm dispatch management system in an embodiment;
FIG. 4 is a block diagram of a wind farm dispatch management system in an embodiment;
FIG. 5 is a schematic diagram of a people management subsystem in one embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The scheduling management system for the offshore wind farm can be realized by an independent server or a server cluster consisting of a plurality of servers, and can be applied to the offshore wind farm to schedule ships and personnel belonging to the wind farm according to richer weather forecast data. In one embodiment, as shown in fig. 1, there is provided an offshore wind farm scheduling management system, which may include a wind farm weather forecasting subsystem 11, a marine weather forecasting subsystem 12, and an integrated management subsystem 13, where the wind farm weather forecasting subsystem 11 may be configured to acquire and process wind farm weather data to obtain wind farm weather forecasting data; the meteorology forecast subsystem 12 can be used for acquiring and processing collected meteorology data of the sea area to which the wind farm belongs to obtain meteorology forecast data; the integrated management subsystem 13 can be used for scheduling ships and personnel belonging to the wind farm according to the wind farm weather forecast data and the ocean weather forecast data. In addition, the comprehensive management subsystem can also store wind power plant meteorological forecast data and ocean meteorological forecast data as source data for wind power plant wind power prediction.
In one embodiment, the above-mentioned offshore wind farm scheduling management System may be implemented as a Multi-Agent System (MAS); each subsystem or each module can be realized as an Agent in the multi-Agent system, and each Agent can independently complete the work.
It should be noted that, firstly, because the weather changes dramatically in the coast or the offshore area where the offshore wind farm is located, the weather forecast data obtained in the conventional manner (for example, through websites such as national weather benches) cannot meet the requirements, spatially finer weather forecast data is required, short-time weather forecast data closer to the current time in time (for example, weather forecast data for forecasting weather within 0-12 hours in the future) and weather forecast data of special meteorological elements such as marine weather forecast data and lightning forecast data which partially seriously affect the operation of the offshore wind farm are required. Secondly, since the offshore wind farm manager performs the scheduling of the ships and the personnel by performing manual judgment according to the conventional weather forecast data under a general condition, there may be human errors, scheduling confusion and other problems that the scheduling management is not intelligent enough.
In this embodiment, the wind farm weather forecasting subsystem and/or the marine weather forecasting subsystem can acquire various weather data/products (such as weather observation data, forecast early warning information, numerical forecast products and the like, and stored long-term weather data) from data sources such as a satellite, a weather radar, an offshore wind power large data center, a weather data acquisition station, a sea area video monitoring system and the like, perform decoding, quality control, product processing and the like on the various weather data/products, and acquire short-term forecast data through a short-term forecast method or acquire long-term forecast data through a long-term forecast method; it is also possible to perform nowcasting (for weather forecast within 2 hours in the future) based on artificial intelligence, optical flow, and the like on the basis of the above-described short-time forecast data, and provide a weather forecast service of higher quality temporally more finely for scheduling temporally more finely. Wherein, the various meteorological data/products can include radar echo data of a meteorological radar; the wind farm weather forecasting subsystem and/or the oceanographic weather forecasting subsystem can also preprocess the radar echo data, for example, the radar echo data with different elevation angles are subjected to three-dimensional filtering processing through means such as continuity characteristic filtering, morphological filtering, speckle noise filtering and the like, and the processed radar echo data are used as input weather data/products.
Specifically, the wind farm weather forecast data comprises at least one of the following: long-term forecast data of the first meteorological element, short-term forecast data of the second meteorological element and lightning forecast data; wherein the first weather element comprises at least one of: air temperature, air pressure, relative humidity, wind direction, wind speed and precipitation; the second meteorological element comprises at least one of: rainstorm, short duration strong wind, hail, low visibility; the lightning forecast data comprises at least one of: lightning location data and short-term lightning early warning data. The oceanographic weather forecast data includes forecast data for a third meteorological element, the third meteorological element including at least one of: effective wave height, average wave direction, average wave period and effective wave height.
Illustratively, a heavy rain may be a heavy rain with a 24 hour precipitation of 50 mm or more, a high wind may be a high wind of eight and more, a low visibility may be a weather condition with visibility below 1 km, a short time may be within 0-3 hours or within 0-6 hours or other short time period. The long-term forecast data can be forecast data within 7 days in the future, and the forecast time effectiveness can be every six hours, every three hours or even every hour; because the second meteorological element is an extreme weather element such as strong convection, short-time forecast data of the second meteorological element is needed, and the short-time forecast data can be forecast data of 12 hours in the future, 6 hours in the future, or even 2 hours in the future; and because the thunder and lightning meteorological elements have great harmfulness, the thunder and lightning forecast data need to be refined, and can comprise lightning location data (position, time and influence range) and 0-2 hours of thunder and lightning early warning data (position, time and influence range).
In one embodiment, the wind power plant weather forecast subsystem can comprise at least one weather data acquisition station, a wind power plant weather forecast server and a background display device, wherein the weather data acquisition station is used for acquiring wind power plant weather data on site and sending the wind power plant weather data to the wind power plant weather forecast server; the wind power plant weather forecast server is used for receiving, storing and processing various acquired weather data/products and carrying out weather forecast according to the various weather data/products to obtain wind power plant weather forecast data; and the background display equipment is used for displaying the wind power plant weather forecast data. In particular, the meteorological data acquisition station may be a wind tower.
The meteorological data acquisition station can be provided with a plurality of meteorological data acquisition devices and acquires meteorological data of a wind power plant obtained by field sampling; for example, the system can be arranged in an offshore booster station of a wind power plant and is responsible for acquiring and transmitting real-time data such as wind speed, wind direction, temperature, humidity, atmospheric pressure, rainfall and the like of the offshore booster station. The meteorological data acquisition station may include: at least one acquisition device, sensors and a local display; the sensors can be extended to adopt other types of sensors according to the use requirements of field acquisition so as to realize data acquisition of various meteorological factors, such as temperature sensors, wind speed sensors and the like; the acquisition equipment can be used for acquiring analog signals of the sensors, converting the analog signals of the sensors into digital signals corresponding to meteorological data of the wind power plant, transmitting the digital signals to the meteorological forecast server of the wind power plant, and transmitting the digital signals to the local display for display, and can be specifically realized as a gateway.
For example, in the embodiments of the present invention, when displaying the wind farm weather forecast data, the following display rules may be adopted:
wind speed: taking 3 seconds with the strongest wind speed every 10 minutes, and solving the average wind speed in the time period; resetting after three seconds; the display unit of the wind speed can be selected from meters/second, miles/hour, knots (knots, i.e. miles per hour), kilometers per hour, and the like;
wind direction: wind direction heading (text display) adjustments, such as "southeast wind", are made automatically or manually;
air temperature: the displayed units of air temperature may be deg.c (degrees celsius) or deg.f (degrees fahrenheit);
atmospheric pressure: QFE (Query Field Elevation, surface air pressure) mb (millibar, 100Pa), QNH (Query normal height, modified sea level air pressure) mb, QNE (Query normal Elevation, standard sea level air pressure) mb may be selected.
Similarly, the oceanographic forecasting subsystem can comprise at least one oceanographic observation system and at least one oceanographic forecasting server, wherein the oceanographic observation system is used for acquiring oceanographic data of the sea area to which the wind power plant belongs on site and sending the oceanographic data to the oceanographic forecasting server; the marine weather forecast server is used for receiving, storing and processing various acquired weather data/products and carrying out weather forecast according to the various weather data/products to obtain marine weather forecast data. The marine meteorological observation data transmitted by the meteorological marine observation system, namely marine meteorological data, can be stored in a database of the marine meteorological forecast server so as to be convenient to retrieve and use; the oceanographic forecasting server can display the received data in a graphic form according to different observation points respectively, and can update the data once every three hours, wherein the data is the average of the data in 1 hour; and classifying, sorting and analyzing all the collected data, and respectively giving analysis results such as a time sequence chart of the observation elements according to different observation points.
The marine meteorological observation system may include: the far infrared thermal imaging camera with the fog penetrating function can be used for observing the condition of ships in sea areas between a wind measuring tower and a wind power plant to a land office building, and can be arranged at the top of an office room of a land project department; the at least one camera can be used for monitoring the sea area condition near the wind power plant and can be installed on a wind measuring tower of the wind power plant; the microwave transmitting device is used for converting the sea area images collected by the cameras into microwave signals and transmitting the microwave signals back to the microwave receiving device; the microwave receiving device is connected with the marine weather forecast server and used for receiving the microwave signals, converting the microwave signals into sea area images and transmitting the sea area images to the marine weather forecast server. The marine meteorological observation system also comprises a hard disk video recorder which is connected with the microwave receiving device and used for acquiring and storing the sea area image. It can be understood that the sea area image can be used as the meteorology data of the sea area to which the wind farm belongs, and the meteorology server can obtain the meteorology data such as the wave height, the average wave period and the like from the sea area image according to image processing methods such as image recognition, image feature extraction and the like so as to forecast the meteorology data.
The far infrared thermal imaging camera is a long-distance camera, an observation type long-distance thermal imaging network tripod head camera can be adopted, a high-sensitivity 336 multiplied by 256 resolution uncooled focal plane imaging detector can be adopted, and an advanced digital circuit and an image processing algorithm can provide fine and smooth images. Specifically, a high-definition long-focus visible light lens is adopted in the daytime and is matched with 200 ten thousand high-definition CCD photosensitive element cameras, so that the detail of a target in the daytime can be observed; the optical zooming infrared thermal imaging of 31-155mm is adopted at night, a zero-illumination night target can be found, and the dual advantages of thermal imaging temperature analysis and visible light high-resolution observation are fully exerted; the system has the functions of visible light fog penetration, daytime optical filtering and DSP (digital signal processing) image processing, and enhances the image details in the environments of thin fog, water vapor and dust; the 50kg heavy-load numerical control holder is adopted, and 360-degree continuous rotation observation is realized, so that no dead angle exists, the operation is stable, and the image jitter is small; the whole machine adopts a super-strong aluminum alloy shell, is protected by IP66 (a protection grade of the equipment shell), is rain-proof and dust-proof, and can adapt to various severe environments. The network design can be adopted between each camera and the microwave transmitting device, all video data can be transmitted by one network line, and the system networking and implementation are simple.
When the wind power plant weather forecasting subsystem and/or the ocean weather forecasting subsystem forecast, various modes such as single-point forecasting, regional element forecasting, typhoon forecasting and the like can be adopted. The single-point forecast is to forecast the operation sea area for 7 days in the future by taking the operation sea area as a single point, the forecast result can be in a text form and can be sent to personnel belonging to the wind power plant in a short message manner, the forecast content can be weather phenomena, air pressure, wind direction, wind power, air temperature, wave height, visibility and the like, the forecast time step can be changed according to the time period of the forecast content, for example, the forecast within 3 days takes 12 hours as the step length, and the forecast content within 4-7 days takes 24 hours as the step length; area element forecast, which takes an operation sea area as a center, 1.5 latitudes are selected respectively from the top and the bottom, 2 longitudes are selected respectively from the left and the right, a meteorological element forecast map is drawn by the rectangular area, and a forecast result is displayed by a meteorological display system, wherein the meteorological element forecast map comprises air pressure, 2-meter air temperature (air temperature at two meters from the ground), 10-meter wind on the sea surface (air speed at ten meters from the sea surface), 1000hPa (one atmosphere) relative humidity, effective wave height, wind wave height, surge direction, surge height, sea surface temperature, precipitation and visibility, and the time step length of the forecast can refer to single-point forecast; the typhoon forecast can include typhoon center position, center air pressure, maximum wind speed, moving direction, moving speed, seventh wind radius, 10 th wind radius, 24-72 hour forecast position and intensity and the like. The various forecast expression forms can be data and pictures.
Referring to fig. 2, taking a wind farm weather forecast subsystem as an example, the wind farm weather forecast server may include a preliminary weather forecast server and a corrected weather forecast server; each meteorological sensor can observe live to obtain wind power plant meteorological data such as wind speed, air temperature and the like, the data collection service switch collects the wind power plant meteorological data obtained by each meteorological sensor and sends the wind power plant meteorological data to the preliminary meteorological forecast server and the correction meteorological forecast server; the preliminary weather forecast server analyzes the wind power plant weather data through a weather forecast algorithm to obtain a preliminary forecast result; the weather correction forecast server can correct and correct the preliminary forecast result according to the wind power plant weather data and the stored wind power plant historical weather data to obtain a final forecast result.
Optionally, the wind farm weather forecasting subsystem and/or the marine weather forecasting subsystem may include a data interface with at least one offshore wind power big data center, configured to obtain data of the at least one offshore wind power big data center, where the offshore wind power big data center may be a country-level, provincial-level or city-level offshore wind power big data center, or another offshore wind power big data center; the unmanned aerial vehicle cruise control system can also comprise other functional interfaces, such as a communication interface with the unmanned aerial vehicle, the unmanned aerial vehicle can be controlled to cruise and cruise data of the unmanned aerial vehicle can be acquired, for example, the unmanned aerial vehicle can be provided with a camera, and image data acquired in the cruise process of the unmanned aerial vehicle can be acquired.
In addition, the integrated management subsystem can be implemented as a server, and can acquire wind farm weather forecast data from the wind farm weather forecast subsystem, acquire oceanographic weather forecast data from the oceanographic weather forecast subsystem, and schedule ships and personnel belonging to the wind farm according to the wind farm weather forecast data and the oceanographic weather forecast data, that is, the offshore wind farm scheduling management system described in this embodiment is equivalent to a server cluster formed by a plurality of servers.
In this embodiment, the above-mentioned offshore wind farm scheduling management system may integrate wind farm weather forecast data and oceanographic weather forecast data, and schedule the ships and personnel belonging to the wind farm according to the wind farm weather forecast data and the oceanographic weather forecast data, so that the offshore wind farm scheduling management may be performed intelligently and informationally.
Referring to fig. 3, on the basis of fig. 1, the integrated management subsystem may determine a workable area and a workable time by evaluating a job security level to implement intelligent scheduling, and specifically, the integrated management subsystem 13 may include: the evaluation module 131 is used for evaluating the operation safety level according to the wind power plant weather forecast data and the ocean weather forecast data, and determining an operable area and operable time according to the operation safety level; and the scheduling module 132 is used for scheduling ships and personnel belonging to the wind power plant according to the operable time and the operable area.
The evaluation module can be implemented as a computer device or a server, and can evaluate the operation safety levels in different areas and at different times according to the wind power plant weather forecast data and the ocean weather forecast data. The evaluation module can preset an operation safety level evaluation table, and the operation safety level evaluation table can comprise safety weights corresponding to different levels of different meteorological elements.
For example, the evaluation module may evaluate according to the wind farm weather forecast data and the marine weather forecast data of each area within a preset time period (e.g., one day), and the operation safety level evaluation table, to obtain the accumulated safety weight of each area within the preset time period; if the accumulated safety weight of a certain area in a preset time period is greater than or equal to the preset safety weight, evaluating that the area is a non-working area in the preset time period, namely the operation safety level is low; if the accumulated safety weight of a certain region in the preset time period is smaller than the preset safety weight, the region is evaluated to be a workable region in the preset time period, namely the operation safety level is high. Similarly, the evaluation module can also evaluate according to the wind power plant weather forecast data and the ocean weather forecast data of the wind power plant area in each time period (such as one hour) and the operation safety level evaluation table to obtain the accumulated safety weight of the wind power plant area in each time period; if the accumulated safety weight of the wind power plant area in a certain time period is greater than or equal to the preset safety weight, the wind power plant area is evaluated to be the non-working time in the time period, namely the operation safety level is low; and if the accumulated safety weight of the wind power plant area in a certain time period is smaller than the preset safety weight, evaluating that the wind power plant area is operable time in the certain time period, namely the operation safety level is high. Of course, the evaluation module can also evaluate the operation safety level of a certain area in a certain time period. For example, from the wind farm weather forecast data and the oceanographic weather forecast data, it is known that: there is 6 grade wind in zone a from 15 to 16 with wave height of 5 meters accompanied by a short-term thunderstorm, and there is 2 grade wind in zone b from 15 to 16 with wave height of two meters; the wind, the wave and the thunderstorm are meteorological elements respectively, the wind level and the wave height are levels of the meteorological elements, and according to an operation safety level evaluation table, the safety weight corresponding to 6-level wind is 6, the safety weight corresponding to 2-level wind is 2, the safety weight corresponding to 5m wave height is 8, the safety weight corresponding to 2 m wave height is 3.2, the safety weight corresponding to the thunderstorm is 20 (no level difference), the cumulative safety weight of the area A from 15 hours to 16 hours is 34, and the cumulative safety weight of the area B from 15 hours to 16 hours is 5.2; if the preset safety weight is 10, the safety level of the first area is 'dangerous' from 15 hours to 16 hours; the safety level of the B area is 'safe' from 15 hours to 16 hours, and the B area is operable time and an operable area.
And the dispatching module can dispatch ships and personnel belonging to the wind power plant according to the operable time and the operable area. That is, in the operable time and the operable area, ships and personnel belonging to the wind power plant can be scheduled to carry out operation and maintenance work of the wind power plant; and in the non-operable time and the non-operable area, the operation and maintenance work of the wind power plant by the ship and personnel to which the wind power plant belongs is forbidden to be scheduled so as to ensure the safety of the ship and personnel.
In one embodiment, the scheduling module may include: the automatic identification system AIS station of the ship is used for carrying out AIS communication with the ship; a Very High Frequency (VHF) station for VHF communication with the ship; and the VHF relay station is used for forwarding VHF communication information between the offshore wind farm dispatching management system and the ship. The AIS station of the scheduling module can be directly communicated with an AIS station arranged on a ship, or AIS communication information between an offshore wind farm scheduling management system and the ship is realized through shore-based AIS base stations or AIS satellite forwarding; the VHF radio station of the dispatching module can be directly communicated with the VHF radio station arranged on the ship, or the VHF communication information between the offshore wind farm dispatching management system and the ship is realized by forwarding the VHF relay station arranged in advance at a shore, an island, a specific position of the wind farm and the like. The wind farm specific location comprises at least one of: the ship to which the wind farm belongs, the fan to which the wind farm belongs, and the booster station to which the wind farm belongs.
Specifically, the ship can be provided with a VHF radio station in a standard way, and networking communication between the project management part and the ship in the sea area can be realized; the engineering personnel can be equipped with the personal hand-held VHF terminal, can realize the intercommunication between land, marine personnel, therefore the scheduling module can include: two VHF radio stations, one is on duty at 16 channels, and one is responsible for the conversation with people, ship, can also include: the VHF relay stations comprise corresponding directional antennas, can be respectively arranged at a project management part where a wind measuring tower of a wind power plant and an offshore wind power plant dispatching management system are located and are used for forwarding communication between a land VHF radio station, a handheld terminal and a marine platform and a handheld terminal, and the talkback range covers the project management part, a land centralized control center, a land construction area, a marine wind measuring tower, a marine construction area, a sea-land traffic channel and the like, so that networking of cross-area terminals can be realized even at the land and the marine terminals under a long distance, and the VHF relay stations are not limited by transmission conditions. The communication frequency can select a non-co-frequency channel as a special communication channel for the wind power plant; if there are too many VHF stations/terminals and the channel is congested, additional repeaters may be considered to increase the channel. The dispatching module can also comprise an AIS station which is matched with the VHF station for use and directly gates calling for dangerous ships.
In this embodiment, the offshore wind farm scheduling management system can evaluate the operation safety level according to the wind farm weather forecast data and the oceanographic weather forecast data, and determine the operable area and the operable time to intelligently schedule the ships and the personnel belonging to the wind farm, so that the offshore wind farm scheduling management can be performed more intelligently, more safely and more intuitively, errors caused by excessive human factors are reduced, and the scheduling efficiency is improved.
Referring to fig. 4, on the basis of fig. 3, the system may further implement management of a ship, and specifically, the system may further include: and the ship management subsystem 14 is used for tracking the position of the ship belonging to the wind power plant and acquiring the position information of the ship. The ship management subsystem can realize real-time position tracking of a ship in the sea area of a wind power plant and within the safety range of a 220kV submarine cable and transmit the position tracking to the comprehensive management subsystem; correspondingly, the comprehensive management subsystem can realize the management of the operation time and the operation content of the ship according to the wind power plant weather forecast data, the ocean weather forecast data and the real-time position of the ship, and provides a suggestion for operation and maintenance. In a word, the embodiment can realize the position monitoring of the ship belonging to the wind power plant, and can enable the ship to operate in a time period and an area suitable for weather through scheduling.
In one embodiment, the vessel management subsystem may include: the AIS transmitter is arranged on the ship and used for transmitting ship position information to an AIS base station and/or an AIS satellite; the first AIS receiver is used for receiving ship position information forwarded by the AIS base station and/or the AIS satellite and sending the ship position information to the ship monitoring server; and the ship monitoring server is used for acquiring the ship position information and sending the ship position information to the comprehensive management subsystem. The AIS transmitter on the ship may transmit position information of the ship to the AIS base station and/or the AIS satellite in real time or at certain time intervals, and the first AIS receiver may be located at an onshore project management department and may receive the ship position information forwarded by the AIS base station and/or the AIS satellite.
In an embodiment, referring to fig. 4, the system may further implement management of people, and may further include: a personnel management subsystem 15; the personnel management subsystem 15 may include: the system comprises a personnel tracking card detection device and a personnel monitoring server; and the personnel tracking card detection device is used for detecting the personnel tracking card, obtaining personnel position information corresponding to the personnel tracking card and sending the personnel position information to the personnel monitoring server. Wherein, personnel tracking card can identify the identity of the personnel carrying the personnel tracking card. For example, in an emergency avoidance position of the offshore booster station, a personnel emergency management electronic T card box (namely a personnel tracking card detection device) can be arranged, and personnel information, personnel check-in, emergency set whole-process data tracking record, display, query statistics and the like are completed by applying a mature T card management mode and adopting RFID, network and database technologies, so that the emergency efficiency is improved, and the statistical difficulty is reduced; and personnel information is all electronized, so that the system is convenient to expand and transplant.
The personnel management subsystem 15 may also include: the fixed two-dimensional code comprises a network address of the personnel monitoring server; the fixed two-dimensional code can be fixed at a specific position of a wind power plant, such as an offshore booster station, when personnel belonging to the wind power plant adopt a terminal to scan the fixed two-dimensional code, the terminal can upload indication information to the personnel monitoring server according to the fixed two-dimensional code, wherein the indication information comprises an identifier of the fixed two-dimensional code and an identifier of the terminal; because the corresponding relation between the identifier of the fixed two-dimensional code and the position information of the fixed two-dimensional code and the corresponding relation between the terminal identifier and the personnel can be preset in the personnel monitoring server, the personnel monitoring server can acquire the position information of the personnel according to the identifier of the fixed two-dimensional code.
The personnel management subsystem can realize the information management of the personnel in the wind power plant through a personnel tracking card, realize the whole-process tracking of the sea going task and the sea going personnel, establish an effective tracking management mechanism, enhance the capability of the personnel for preventing and dealing with the safety risk and avoiding the risk emergency and achieve the aim of the personnel safety management; based on the system, a marine worker tracking management system can be established, the position tracking of workers in the marine process is realized, the facilities where the workers are located are accurately positioned, the system is used for personnel management in the construction and operation and maintenance processes under daily conditions, and emergency management, scheduling and rescue are facilitated under emergency conditions. The personnel management subsystem may implement the following functions: (1) personnel management: reading identity information and inputting other information; after verifying the personnel information, making a personnel tracking card for the personnel information; the personnel tracking card can be divided into a long-term card and a temporary card and can deal with different authorities; (2) the task application comprises the following steps: a task person in charge uses a person tracking system to establish and submit a task application and register task persons; (3) and (3) boarding, leaving and taking management: when a task person takes a boat or a booster station platform and a fan, the task person needs to go to a card swiping terminal for boarding and swiping a card, and when the task person leaves the boat or the booster station platform and the fan, the task person needs to leave and swipe the card; (4) personnel tracking management: the personnel information, the position, the boarding (leaving) condition query, the statistics and the management are carried out, the information such as the distribution of the personnel on site, the task condition and the like is known, and the support is provided for the personnel safety management and the emergency event disposal. The personnel monitoring server can realize personnel task management in the forms of task reports and the like, and carry out system management such as personnel, task authority, task personnel configuration and the like. In a word, the embodiment can realize the position monitoring of the personnel belonging to the wind power plant, and can enable the personnel to work in a time period and an area suitable for weather through scheduling.
Optionally, the personnel management subsystem further comprises: the second AIS receiver is used for receiving the drowning positioning information forwarded by the AIS base station and/or the AIS satellite and sending the drowning positioning information to the comprehensive management subsystem, and the drowning information is sent out by the personnel drowning emergency position indicating device; the comprehensive management subsystem is also used for sending an alarm of falling into water according to the positioning information of falling into water, determining a rescue ship according to the positioning information of falling into water and the position information of the ship, and indicating the rescue ship to carry out rescue operation.
Generally, personnel belonging to the wind farm can carry a personnel drowning emergency position indicating device on the personnel, and the personnel drowning emergency position indicating device is used for broadcasting drowning positioning information, such as longitude and latitude coordinates, when the personnel drowning, and the drowning positioning information can be received by the AIS base station and/or the AIS satellite and forwarded to the second AIS receiver; after receiving the drowning positioning information sent by the second AIS receiver, the comprehensive management subsystem can give an alarm of drowning to warn wind power plant management personnel to process, and can also determine a ship closest to the drowning position corresponding to the drowning positioning information as a rescue ship according to the drowning positioning information and the ship position information, notify the ship to rescue through an AIS radio station, and send the drowning positioning information to the rescue ship to indicate the rescue ship to go to the drowning position. The drowning positioning information comprises drowning position information such as longitude and latitude coordinates and the like, and also can comprise identity information of drowning personnel, so that the comprehensive management subsystem can acquire the identity information of the drowning personnel, and rescue can be conveniently and pertinently implemented, for example, the drowning personnel can influence rescue measures on the wateriness, weight, sex, physical robustness and the like. In a word, the embodiment can realize the monitoring of the drowning event of the personnel belonging to the wind power plant, and can efficiently schedule the ship to rescue the drowning personnel. Of course, after receiving the water falling alarm, the monitoring personnel can organize and arrange rescue and other works in time according to the water falling positioning information and the identity information reported by the system.
Referring to fig. 5, the personnel management subsystem may further include a monitoring host, a serial server, and a switch, wherein the second AIS receiver may be connected to the serial server, the serial server is connected to the switch, and the switch is connected to the monitoring host through a network, which is equivalent to the realization of network connection between the monitoring host and at least one second AIS receiver, and the monitoring host may receive the falling water positioning information sent by the second AIS receiver, and send out alarm information such as sound and light, short message, and the like to prompt the manager to rescue, and transmit the falling water positioning information and the like to the database server of the integrated management subsystem through the network. Of course, the first AIS receiver and the second AIS receiver may share the AIS receiver, and similarly, the ship management subsystem may share the AIS signal transmission path formed by the AIS receiver, the serial server, the switch, and the monitoring host with the personnel management subsystem. Therefore, the monitoring host can also acquire the ship position information of the ship to which the wind power plant belongs, and transmit the ship position information and the like to the database server of the comprehensive management subsystem through a network. In addition, other systems can be respectively connected with the monitoring host and the database server, and the other systems can be personnel information management systems and the like, so that the monitoring host can acquire specific information of people falling into the water according to the personnel information management systems.
In one embodiment, the integrated management subsystem is further configured for visualization of at least one of: map information of an area to which the wind power plant belongs, the wind power plant weather forecast data, the oceanographic weather forecast data, the ship position information, the personnel position information and the drowning positioning information. Specifically, the method may include:
realizing the visualization of meteorological and ocean wave forecast data such as automatic stations, satellites, radars, typhoons, numerical forecast products and the like of a target area of an offshore wind farm based on a WebGIS (Web Geographic Information System) platform; basic operations such as movement, zooming, terrain map satellite map switching and the like can be supported;
the visualization of weather and sea wave refined forecast data, weather and ocean disaster monitoring and forecast early warning data, strong convection weather forecast early warning data and the like is realized;
the superposition display of own industry data (position information, icons and the like of facilities such as a fan, a construction ship and the like) and a map layer of the offshore wind farm is realized, and the use efficiency and the convenience of a sea weather and sea wave fine forecasting system of the wind farm in actual production and operation and maintenance are improved;
the method realizes real-time position display and tracking track display of the designated ship in the sea area of the wind power plant; carrying out classification and grouping management functions on ships belonging to the wind power plant, wherein the ships in different logic groups are displayed by adopting different icons;
radar data are visualized to realize radar echo dynamic display;
the typhoon data visualization realizes cyclone information display, node information display and animation display;
the satellite data visualization realizes the satellite data display and the satellite cloud picture animation;
pre-processing geographic information data such as a geographic information electronic map, a satellite map, a topographic map and the like to provide standardized GIS service; providing a common weather correlation algorithm, supporting an internal communication mechanism and interactive operation, and providing an efficient service interface for unit internal application and an upper-layer business system;
the storage and management of various collected data based on a database and a file system are realized;
the system has a data storage management function and a uniformly packaged data service interface, and supports flexible calling of unit internal application and upper-layer service systems on meteorological and ocean wave data;
the function of the scene of falling into water and the full real scene of the personnel is realized, the personnel falling into water can be accurately positioned, corresponding distress information is started, and the specific contact way and the falling into water position information of the personnel can be displayed.
In a word, the embodiment can realize integration and visualization of various information such as meteorological data, geographic data, own industry data of the wind power plant, personnel overboard data and the like, and can facilitate management personnel to carry out comprehensive management and efficient decision on operation and maintenance of the wind power plant.
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. An offshore wind farm dispatch management system, the system comprising:
the wind power plant meteorological forecasting subsystem is used for acquiring and processing wind power plant meteorological data to obtain wind power plant meteorological forecasting data;
the system comprises a marine meteorological forecasting subsystem, a wind power generation subsystem and a wind power generation subsystem, wherein the marine meteorological forecasting subsystem is used for acquiring and processing collected marine meteorological data of a sea area to which a wind power station belongs to obtain marine meteorological forecasting data;
and the comprehensive management subsystem is used for scheduling ships and personnel belonging to the wind power plant according to the wind power plant weather forecast data and the ocean weather forecast data.
2. The system of claim 1, wherein the integrated management subsystem comprises:
the evaluation module is used for evaluating the operation safety level according to the wind power plant weather forecast data and the ocean weather forecast data, and determining an operable area and operable time according to the operation safety level;
and the scheduling module is used for scheduling ships and personnel belonging to the wind power plant according to the operable time and the operable area.
3. The system of claim 2, wherein the scheduling module comprises:
the automatic identification system AIS station of the ship is used for carrying out AIS communication with the ship;
a Very High Frequency (VHF) station for VHF communication with the ship;
and the VHF relay station is used for forwarding VHF communication information between the offshore wind farm dispatching management system and the ship.
4. A system according to any one of claims 1 to 3, wherein the wind farm weather forecast data comprises at least one of: long-term forecast data of the first meteorological element, short-term forecast data of the second meteorological element and lightning forecast data;
wherein the first weather element comprises at least one of: air temperature, air pressure, relative humidity, wind direction, wind speed and precipitation; the second meteorological element comprises at least one of: rainstorm, short duration strong wind, hail, low visibility; the lightning forecast data comprises at least one of: lightning location data and short-term lightning early warning data.
5. The system of any of claims 1-3, wherein the weather-meteorological forecast data comprises forecast data for a third meteorological element, the third meteorological element comprising at least one of: effective wave height, average wave direction, average wave period and effective wave height.
6. The system according to any one of claims 1-3, further comprising:
and the ship management subsystem is used for tracking the position of the ship belonging to the wind power plant and acquiring the position information of the ship.
7. The system of claim 6, wherein the vessel management subsystem comprises:
the AIS transmitter is arranged on the ship and used for transmitting ship position information to an AIS base station and/or an AIS satellite;
the first AIS receiver is used for receiving ship position information forwarded by the AIS base station and/or the AIS satellite and sending the ship position information to the ship monitoring server;
and the ship monitoring server is used for acquiring the ship position information and sending the ship position information to the comprehensive management subsystem.
8. The system of claim 7, further comprising: a personnel management subsystem, the personnel management subsystem comprising: the system comprises a personnel tracking card detection device and a personnel monitoring server;
and the personnel tracking card detection device is used for detecting the personnel tracking card, obtaining personnel position information corresponding to the personnel tracking card and sending the personnel position information to the personnel monitoring server.
9. The system of claim 8, wherein the people management subsystem further comprises: the second AIS receiver is used for receiving the drowning positioning information forwarded by the AIS base station and/or the AIS satellite and sending the drowning positioning information to the comprehensive management subsystem, and the drowning information is sent out by the personnel drowning emergency position indicating device;
the comprehensive management subsystem is also used for sending an alarm of falling into water according to the positioning information of falling into water, determining a rescue ship according to the positioning information of falling into water and the position information of the ship, and indicating the rescue ship to carry out rescue operation.
10. The system of claim 9, wherein the integrated management subsystem is further configured for visualization of at least one of: map information of an area to which the wind power plant belongs, the wind power plant weather forecast data, the oceanographic weather forecast data, the ship position information, the personnel position information and the drowning positioning information.
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| CN201811291857.8A CN111126734A (en) | 2018-10-31 | 2018-10-31 | Offshore wind farm dispatching management system |
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| CN112258055A (en) * | 2020-10-26 | 2021-01-22 | 北京千尧新能源科技开发有限公司 | Common construction method and system for offshore wind farm and marine aquaculture facility |
| CN112465194A (en) * | 2020-11-09 | 2021-03-09 | 王博妮 | Intelligent meteorological service system and method for offshore wind farm based on meteorological big data |
| CN112764970A (en) * | 2021-01-14 | 2021-05-07 | 中国民用航空东北地区空中交通管理局 | System and method for backing up and integrating application of data of automatic airport observation system |
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| CN112101897A (en) * | 2020-08-25 | 2020-12-18 | 华能国际电力股份有限公司浙江清洁能源分公司 | Intelligent management method, device and system for offshore wind power |
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| CN112764970A (en) * | 2021-01-14 | 2021-05-07 | 中国民用航空东北地区空中交通管理局 | System and method for backing up and integrating application of data of automatic airport observation system |
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| CN112836984A (en) * | 2021-02-26 | 2021-05-25 | 中国能源建设集团广东省电力设计院有限公司 | Offshore construction method, system, device and storage medium |
| CN113783621B (en) * | 2021-10-09 | 2023-01-24 | 中广核浙江岱山海上风力发电有限公司 | Long-distance communication method for warning information of offshore wind farm |
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| CN116448477A (en) * | 2023-06-19 | 2023-07-18 | 临工重机股份有限公司 | Telescopic arm forklift fault monitoring system and method |
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