CN114236644A - Ship-sea coordination refined sea gas observation method for port - Google Patents
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Abstract
The invention discloses a ship-sea cooperation refined sea gas observation method for a port, which comprises the following steps: step 1: determining a small-scale region to be observed; step 2: acquiring real-time observation information of the sea gas in an area to be observed; and step 3: performing edge calculation on the real-time observation information, and integrating the real-time observation information into a data packet; and 4, step 4: transmitting the data packet to a data center through a low orbit satellite; and 5: the data center analyzes and excavates the received data packet, and forms the sea air forecast aiming at different operation ships and operation areas by using a method of coupling 3 modes of atmosphere, ocean current and ocean wave according to the ship operation type and the operation area obtained in the step 1; step 6: and (5) issuing the sea air forecast formed by the data center in the step 5 to a ship receiving end. The method can meet the different requirements of the oceanographic observation data on meteorological services, and realizes the cooperative fine observation and forecast of port ships and oceanographic.
Description
Technical Field
The invention relates to the technical field of observation and monitoring of ocean sea conditions and meteorology, in particular to a ship sea coordination fine sea gas observation method for a port.
Background
Due to the fact that the special geographical position and the complex underlying surface exist in the port, the port is prone to generating disastrous weather such as heavy fog, strong wind, strong precipitation, thunder and lightning and the like, safety and operation of the port are directly affected, the severe weather can affect the entering and exiting of port ships and the unloading of goods, serious port pressure phenomenon is caused, even the port stops operating, and great economic loss is caused to port enterprises and freight ships.
The port operation is various, including ship entering and leaving port, container hoisting, bulk cargo handling, hazardous chemical storage and transportation, ship mooring, etc., different types of operation have different requirements on meteorological conditions, and various links such as handling, storage, logistics, processing, etc., have different requirements on meteorological services, for example, container hoisting is easily affected by strong weather, ore stacking is easily collapsed in strong rainfall weather, hazardous chemical storage and transportation have strict requirements on the temperature and humidity of the operation environment, and operations are strictly prohibited in thunder and lightning weather. The versatility of the port puts forward new requirements of diversification, pertinence and timeliness for meteorological services. In the prior art, the forecasting accuracy of the ocean gas is poor, the simulation accuracy is low, and the demand cannot be met.
Disclosure of Invention
In order to overcome the problems in the prior art, the invention provides a ship sea coordination fine sea gas observation method for a port.
The technical scheme adopted by the invention for solving the technical problems is as follows: a ship sea coordination refined sea gas observation method for a port comprises the following steps:
step 1: acquiring the operation type and the operation area of a ship, and determining a small-scale area to be observed;
step 2: acquiring real-time observation information of the sea gas in an area to be observed;
and step 3: performing edge calculation on the real-time observation information, and integrating the real-time observation information into a data packet;
and 4, step 4: transmitting the data packet to a data center through a low orbit satellite;
and 5: the data center analyzes and excavates the received data packet, and forms a sea air forecast aiming at different operation ships and operation areas according to the ship operation types and the operation areas obtained in the step 1;
step 6: releasing the sea air forecast formed by the data center in the step 5 to a ship receiving end;
when the sea air forecast is formed in the step 5, a harbor area sea air coupling mode is established by utilizing an atmospheric mode, a sea current mode, a sea wave mode and a SWAN nesting mode, and real-time bidirectional coupling of atmosphere-sea current-sea wave is realized through a coupler.
The method for finely observing the sea and ocean cooperation of the ship for the port comprises the following steps that in the step 1, port operation types comprise ship entering and exiting, container hoisting, bulk cargo loading and unloading, dangerous chemical storage and transportation and ship berthing, and operation areas comprise a channel, an anchor area, a port area and a berth.
The sea-air coordination refined sea-air observation method for the port is characterized in that the sea-air real-time observation information in the step 2 comprises sea information and meteorological information, wherein the sea information comprises tide, flow velocity, flow direction, surface seawater temperature, surface seawater salinity and sea ice, and the meteorological information comprises temperature, humidity, rainfall, wind direction, wind speed, atmospheric pressure and visibility.
In the above ship-sea cooperation refined marine gas observation method for port, the marine gas real-time observation information in step 2 can be obtained through a marine gas observation sensor, a shore-based automatic observation station, a ship-borne automatic observation station, a network download GFS and a WW 3.
The ship-sea cooperation refined sea gas observation method for the port comprises the following specific implementation manner in the step 3: and (3) performing edge processing on the marine gas observation signal to be processed acquired in the step (2), mainly extracting single microclimate factor physicochemical characteristics based on multi-source big data detection and fusion processing analysis, constructing a physicochemical characteristic sample set, performing local cleaning, quality control, processing and fusion on the data, effectively reducing the data volume, and integrating the data to form a data packet.
In the above ship-sea coordination refined sea gas observation method for a port, when the data center analyzes the data packet in step 5, the method further includes controlling the data input path, and specifically includes the following steps:
step 5.1: after receiving the ocean gas observation data packet, the data center acquires the position information of the ocean gas sensor of the port;
step 5.2: the position information of the sensor and the position information of the data center are combined to judge the mobile network coverage condition of the port operation water area;
step 5.3: controlling the transmission path of the ocean observation data packet according to the mobile network signal condition of the port water area, if the mobile network signal condition of the port water area where the ship is located meets the communication requirement, closing the transmission path of the signal along the low orbit satellite, and opening the mobile communication network signal transmission path of the port water area to realize the transmission of the data along the mobile communication network of the port water area.
In the above ship-sea coordination refined sea-gas observation method for the port, in step 5, the real-time bidirectional coupling of the atmosphere, the ocean current and the ocean wave is specifically as follows: the system comprises an atmospheric mode and a current mode, wherein the atmospheric mode transmits sea surface wind stress, rainfall, long wave irradiation, short wave radiation, heat flux and the like to the current mode, and the current mode transmits sea surface temperature to the atmospheric mode;
the sea surface roughness is calculated by the atmospheric mode and the sea wave mode coupling mode, so that the state of the cushion surface under the atmosphere is changed in real time;
the simulation method comprises an ocean current mode and a sea wave mode, wherein the ocean current mode transfers flow field conditions and water level to the sea wave mode, and the sea wave mode transfers wave height, wavelength, wave period, energy dissipation rate and the like to the ocean current mode, so that the simulation of interaction between wave currents is realized.
The invention has the beneficial effects that:
1. the invention relates to a ship-sea cooperation refined sea-gas observation method for ports, which can meet the different requirements of oceanographic monitoring data on meteorological services for each link of loading, unloading, storage, logistics, processing and the like by aiming at different port ship operation types, and realize the refined observation and forecast of the cooperation of port ships and oceanographic;
2. the invention relates to a ship-sea cooperation refined sea-gas observation method for a port, which adopts a path transmission mode of mutually combining a ground mobile communication network and a low-orbit satellite, and fully utilizes port data transmission resources on the premise of ensuring the stability of transmission data;
3. the invention relates to a ship sea coordination refined sea gas observation method for a port, which adopts a sea-atmosphere-sea wave coupling mode and can solve the problem of accuracy of scale sea gas forecast in a port ship operation water area.
Drawings
The invention is further illustrated with reference to the following figures and examples.
FIG. 1 is a flow chart of the present invention;
FIG. 2 is a flow chart of the data transmission path in step 5 according to the present invention;
FIG. 3 is a diagram illustrating the data pattern value exchange of the present invention;
FIG. 4 is a comparison graph of wind speed coupling calculation and measured data according to an embodiment of the present invention;
FIG. 5 is a comparison graph of wind direction coupling calculation and measured data according to an embodiment of the present invention;
FIG. 6 is a comparison graph of the measured data and calculated tidal level coupling in an embodiment of the present invention;
FIG. 7 is a comparison graph of wave height coupling calculation and measured data in an embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the present invention will be described in detail below with reference to the accompanying drawings and specific embodiments.
As shown in fig. 1, the embodiment discloses a ship sea coordination refined sea gas observation method for a port, which includes the following steps:
step 1: acquiring the operation type and the operation area of a ship, and determining a small-scale area to be observed;
step 2: acquiring real-time observation information of the sea gas in an area to be observed;
and step 3: performing edge calculation on the real-time observation information, and integrating the real-time observation information into a data packet;
and 4, step 4: transmitting the data packet to a data center through a low orbit satellite;
and 5: the data center analyzes and excavates the received data packet, and forms a sea air forecast aiming at different operation ships and operation areas according to the ship operation types and the operation areas obtained in the step 1;
step 6: and (5) releasing the sea air forecast formed by the data center in the step 5 to a ship receiving end, and realizing real-time feedback of ship-sea cooperative fine sea air dynamic information.
In the practical implementation process:
In this embodiment, the determined area to be observed is a channel, and the type of the ship operation is the container ship entering a port.
And 2, arranging corresponding sea gas observation sensors in the corresponding to-be-observed areas, converting the electric signal values of the collected sea gas observation sensors into observation data, and acquiring the sea gas observation data to be processed. Acquisition of marine and meteorological observation data existing observation data can also be acquired through a shore-based automatic observation station, a shipborne automatic observation station, network download GFS and WW3 and the like.
The sea gas observation sensor realizes intelligent and networked data detection of sea conditions through the drifting buoy, and further realizes refined monitoring. Communication modules such as Beidou, iridium satellite, skynet, 4G and 5G are used for communication, meteorological and sea condition sensors are carried, wave energy and solar energy are used as energy sources, and long-time reliable work can be achieved.
The real-time sea air observation information comprises sea information and meteorological information, wherein the sea information mainly comprises tide, flow velocity, flow direction, surface sea water temperature, surface sea water salinity, sea ice and the like, and the meteorological information mainly comprises temperature, humidity, rainfall, wind direction, wind speed, atmospheric pressure, visibility and the like.
And 3, performing edge processing on the marine gas observation signal to be processed acquired in the step 2, mainly extracting single microclimate factor physicochemical characteristics based on multi-source big data detection and fusion processing analysis, constructing a physicochemical characteristic sample set, performing local cleaning, quality control, processing and fusion on data, effectively reducing the data volume, and integrating the data to form a data packet.
And 4, transmitting the data packet for marine observation of the port water area to a port offshore data center through a low-orbit satellite, transmitting the data packet to the low-orbit satellite of the optimal communication link through a signal transmitting device at the marine observation sensor end, and transmitting the data packet to a shore-based data center, so that data transmission is realized, and the stability and the real-time performance of data transmission and the full coverage of signal transmission are effectively guaranteed.
And 5, analyzing and processing the data of the shore-based data center, forming and releasing the sea and gas services for different operation ships of the port.
As shown in fig. 2, in this embodiment, the step 5 of controlling the data transmission path during data processing specifically includes:
step 5.1: after receiving the ocean gas observation data packet, the data center acquires the position information of the ocean gas sensor of the port;
step 5.2: the position information of the sensor and the position information of the data center are combined to judge the mobile network coverage condition of the port operation water area;
step 5.3: controlling the transmission path of the ocean observation data packet according to the mobile network signal condition of the port water area, if the mobile network signal condition of the port water area where the ship is located meets the communication requirement, closing the transmission path of the signal along the low orbit satellite, and opening the mobile communication network signal transmission path of the port water area to realize the transmission of the data along the mobile communication network of the port water area.
In this embodiment, when the sea air forecast is formed in step 5, in order to ensure the accuracy of the sea air forecast of the port water area, the atmosphere mode WRF, the ocean current mode POM, the ocean wave mode WW3 and the SWAN nested mode are used to establish the sea air coupling mode of the port water area. The real-time bidirectional coupling of atmosphere-ocean current-ocean waves is realized through the coupler MCT, the interaction of ocean gas is better simulated, and the simulation accuracy and the forecasting capability of the ocean gas of the port are improved.
In an embodiment, coupled numerical modes are established by couplers MCT, as shown in fig. 3, to enable data exchange between the modes. Atmospheric mode and ocean current mode: the method comprises the following steps that an atmospheric mode transmits sea surface wind stress, rainfall, long wave radiation, short wave radiation, heat flux and the like to an ocean current mode, and the ocean current mode transmits sea surface temperature to the atmospheric mode; atmospheric mode and wave mode: the atmospheric mode transmits a wind speed of 10m to the sea wave mode, the sea wave mode transmits wave height, wave length and wave period to the atmospheric mode, and sea surface roughness is calculated according to the coupling mode of the atmospheric mode and the sea wave mode, so that the cushion surface state under the atmosphere is changed in real time; ocean current mode and ocean wave mode: the ocean current mode transfers flow field conditions, water level to the ocean current mode, and the ocean current mode transfers wave height, wavelength, wave period, energy dissipation rate and the like to the ocean current mode, so that the simulation of interaction between wave currents is realized.
In the embodiment, in order to realize the refinement of the mesoscale sea air forecast in the port sea area, a coupling numerical model of the port sea area is established, wherein an atmospheric mode WRF in the embodiment adopts an mesoscale atmospheric mode wrfv3.6.1 to simulate an atmospheric mode of a water area in a certain port area, a three-dimensional ocean current mode POM is adopted in an ocean current mode to carry out numerical simulation on ocean circulation in the port sea area, an ocean current mode adopts an ocean wave mode WW3 and a SWAN nested mode, and specific parameters are set as in table 1 below.
Table 1 example coupling physical parameter settings for modes
In this embodiment, the wind speed and wind direction of a certain container ship at different positions during the process of entering a port and navigating are obtained through MCT coupler simulation calculation, and the wind speed and wind direction are actually measured by the weather meter provided in the embodiment to obtain a comparison graph as shown in fig. 4 and 5, and it can be known through comparison verification of the actual measurement and coupling calculation results: the wind speed and the wind direction obtained by coupling are more consistent with the actually measured data, and the average errors are respectively not more than 5 degrees and 0.7 m/s. Therefore, the atmosphere mode in the port sea-air coupling mode established by the invention is reasonable to select, can perform relatively accurate simulation forecast on the wind in the port water area, and provides a refined driving field for the port sea current mode and the sea wave mode.
In this embodiment, the tidal level and wave height of a certain container ship at different positions during the inbound navigation process are obtained through MCT coupler simulation calculation, and meanwhile, the measured data is obtained through the sea observation sensor in step 2, so as to obtain a comparison graph as shown in fig. 6 and 7, and it can be known through comparison verification of the measured and coupling calculation results: the tide level and wave height obtained by coupling have good coincidence with actual observation, and the average errors are respectively not more than 0.2m and 0.15 m. Therefore, the ocean current mode and the ocean wave mode in the port ocean-air coupling mode established by the invention are reasonable in selection, can accurately simulate and forecast the tide level and the wave height of the port water area, and can accurately and effectively simulate the wave and tide processes.
In the embodiment, comparison and verification of calculation results of atmosphere, ocean current and sea wave of a ship port sailing water area can show that the coupling numerical model constructed by the method can perform refined simulation calculation on the sea gas of the port water area, and the calculation result is reliable.
In this embodiment, the refined seawater forecast is processed by the data center in step 6 and is issued to the ship receiving end, so that real-time feedback of ship-sea cooperative refined seawater dynamic information is realized.
The above embodiments are only exemplary embodiments of the present invention, and are not intended to limit the present invention, and the scope of the present invention is defined by the claims. Various modifications and equivalents may be made by those skilled in the art within the spirit and scope of the present invention, and such modifications and equivalents should also be considered as falling within the scope of the present invention.
Claims (7)
1. A ship sea coordination refined sea gas observation method for a port is characterized by comprising the following steps: the method comprises the following steps:
step 1: acquiring the operation type and the operation area of a ship, and determining the area to be observed;
step 2: acquiring real-time observation information of the sea gas in an area to be observed;
and step 3: performing edge calculation on the real-time observation information, and integrating the real-time observation information into a data packet;
and 4, step 4: transmitting the data packet to a data center through a low orbit satellite;
and 5: the data center analyzes and excavates the received data packet, and forms a sea air forecast aiming at different operation ships and operation areas according to the ship operation types and the operation areas obtained in the step 1;
step 6: releasing the sea air forecast formed by the data center in the step 5 to a ship receiving end;
when the sea air forecast is formed in the step 5, a harbor area sea air coupling mode is established by utilizing an atmospheric mode, a sea current mode, a sea wave mode and a SWAN nesting mode, and real-time bidirectional coupling of atmosphere-sea current-sea wave is realized through a coupler.
2. The sea coordination refined sea air observation method for the harbor as claimed in claim 1, wherein the harbor operation types in step 1 include entrance and exit of ships, container hoisting, loading and unloading of bulk cargo, storage and transportation of hazardous chemical substances, and ship berthing, and the operation areas include fairway, anchorage, harbor area, and berth.
3. The marine cooperation refined sea air observation method for the harbor as claimed in claim 1, wherein said sea air real-time observation information in step 2 comprises sea information and meteorological information, wherein the sea information comprises tide, flow velocity, flow direction, surface seawater temperature, surface seawater salinity, sea ice, and the meteorological information comprises temperature, humidity, rainfall, wind direction, wind speed, atmospheric pressure, visibility.
4. The ship-sea cooperative refined sea air observation method for the port as claimed in claim 1, wherein the sea air real-time observation information in the step 2 can be obtained by sea air observation sensors, shore-based automatic observation stations, shipborne automatic observation stations, network download GFS and WW 3.
5. The ship sea coordination refined sea gas observation method for the port according to claim 1, wherein the step 3 is realized in a specific manner as follows: and (3) performing edge processing on the marine gas observation signal to be processed acquired in the step (2), mainly extracting single microclimate factor physicochemical characteristics based on multi-source big data detection and fusion processing analysis, constructing a physicochemical characteristic sample set, performing local cleaning, quality control, processing and fusion on the data, effectively reducing the data volume, and integrating the data to form a data packet.
6. The ship sea coordination refined sea gas observation method for the port according to claim 1, wherein when the data center analyzes the data packet in the step 5, the method further comprises controlling a data input path, and specifically comprises the following steps:
step 5.1: after receiving the ocean gas observation data packet, the data center acquires the position information of the ocean gas sensor of the port;
step 5.2: the position information of the sensor and the position information of the data center are combined to judge the mobile network coverage condition of the port operation water area;
step 5.3: controlling the transmission path of the ocean observation data packet according to the mobile network signal condition of the port water area, if the mobile network signal condition of the port water area where the ship is located meets the communication requirement, closing the transmission path of the signal along the low orbit satellite, and opening the mobile communication network signal transmission path of the port water area to realize the transmission of the data along the mobile communication network of the port water area.
7. The method for observing sea coordination refined sea gas of a ship for a port according to claim 1, wherein in the step 5, the real-time bidirectional coupling of atmosphere-ocean current-ocean wave is as follows:
the system comprises an atmospheric mode and a current mode, wherein the atmospheric mode transmits sea surface wind stress, rainfall, long wave irradiation, short wave radiation, heat flux and the like to the current mode, and the current mode transmits sea surface temperature to the atmospheric mode;
the sea surface roughness is calculated by the atmospheric mode and the sea wave mode coupling mode, so that the state of the cushion surface under the atmosphere is changed in real time;
the simulation method comprises an ocean current mode and a sea wave mode, wherein the ocean current mode transfers flow field conditions and water level to the sea wave mode, and the sea wave mode transfers wave height, wavelength, wave period, energy dissipation rate and the like to the ocean current mode, so that the simulation of interaction between wave currents is realized.
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| CN110516279A (en) * | 2019-06-19 | 2019-11-29 | 中国地质大学深圳研究院 | Marine environment Numerical Prediction Method is coupled based on the stormy waves stream that experience is corrected |
| CN110610277A (en) * | 2019-09-24 | 2019-12-24 | 青岛军融科技有限公司 | Ship operation condition forecasting and early warning system |
| US20220036738A1 (en) * | 2020-07-29 | 2022-02-03 | Wuhan University Of Technology | Method and system for assessing and early warning ship collision risk |
| CN112949140A (en) * | 2021-03-26 | 2021-06-11 | 海博泰科技(青岛)有限公司 | Large ship safe embarkation and embarkation method based on dynamic conditions |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN114943379A (en) * | 2022-06-01 | 2022-08-26 | 北京玖天气象科技有限公司 | Port operation index prediction method |
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