Offshore safety monitoring information processing system and method

Abstract

The invention belongs to the technical field of offshore safety management, and provides an offshore safety monitoring information processing system and method, and the system comprises a monitoring layer which is suitable for collecting multi-source data in a sea area; the processing layer comprises a multi-source heterogeneous coupling model, and the multi-source heterogeneous coupling model is in communication connection with the monitoring layer so as to obtain multi-source data in the sea area, integrate the multi-source data in the sea area into ship navigation data, establish a sea area map according to the ship navigation data, and display the ship data corresponding to ship coordinates in the sea area map; and the transmission layer realizes data transmission and data sharing between the monitoring layer and the processing layer. According to the method, the multi-source data in the sea area is acquired, the data of different sources are integrated, the accuracy of the integrated data is determined, and the working efficiency is improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of maritime safety management, and in particular relates to a maritime safety monitoring information processing method and method. Background Art

[0002] The navigation environment around the wind farm is complex with many ships and various ship types in the waterways and anchorages. Radar is required for monitoring. Radar can actively detect ships without AIS or with AIS equipment failure at sea. In addition, the safety of the wind farm's submarine optical cable is crucial to the normal operation of offshore wind power. Once the submarine optical cable connecting the land and air center is damaged or cut off due to anchoring, dragging anchor, or offshore construction operations, it will cause great losses to the safety of offshore wind farm equipment and production operations. It is necessary to monitor the waters of submarine optical cables to prevent ships from anchoring, dragging anchor, and construction operations in nearby waters.

[0003] At present, the collection of safety information in the waters of offshore wind farms mainly uses sensors such as AIS, VHF, CCTV, etc. to realize the perception of ships and navigation conditions in the wind farms and surrounding waters. Some offshore wind farms also use active detection radars to sense non-cooperative small boats and yachts.

[0004] The monitoring data are collected by multiple sensors and displayed and processed separately, resulting in confusing display results, reduced work efficiency and user experience, and reduced accuracy of early warning. Summary of the invention

[0005] The purpose of the present invention is to provide a marine safety monitoring information processing system and method, which integrates data from different sources and displays them centrally, thereby ensuring the accuracy and consistency of data in the collaborative linkage process, improving the collaborative linkage efficiency of wind farms, improving the accuracy of the early warning rate, and improving marine safety.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: a maritime safety monitoring information processing system, comprising: a monitoring layer, suitable for collecting multi-source data in a sea area; a processing layer, the processing layer includes a multi-source heterogeneous coupling model, the multi-source heterogeneous coupling model is communicatively connected with the monitoring layer to obtain multi-source data in the sea area, and integrate the multi-source data in the sea area into ship navigation data, establish a sea area map according to the ship navigation data, and display the ship data corresponding to the ship coordinates in the sea area map; a transmission layer, realizing data transmission and data sharing between the monitoring layer and the processing layer.

[0007] In an optional embodiment, the monitoring layer includes: an automatic detection unit, which includes an AIS automatic identification system and a CCTV video monitoring system, and is suitable for obtaining first original data of ship navigation; a remote sensing detection unit, which includes a detection radar, Beidou-3 and satellite remote sensing, and is suitable for obtaining second original data of ship navigation; the automatic detection unit and the remote sensing detection unit are respectively communicatively connected to the processing layer, and the processing layer calibrates the first original data of ship navigation according to the second original data of ship navigation to obtain ship navigation data.

[0008] The present invention also proposes a method for processing maritime safety monitoring information, which adopts the maritime safety monitoring information processing system. The maritime safety monitoring information processing method includes: acquiring multi-source data in the sea area; processing the multi-source data in the sea area through a multi-source heterogeneous coupling model to integrate the multi-source data in the sea area into ship navigation data; establishing a sea area map based on the ship navigation data; and displaying the ship data in the sea area map corresponding to the ship coordinates.

[0009] In an optional embodiment, the multi-source data in the sea area are processed by a multi-source heterogeneous coupling model to integrate the multi-source data in the sea area into ship navigation data, specifically including: cleaning and denoising the first original ship navigation data and the second original ship navigation data to obtain simplified ship navigation data; splitting the ship navigation simplified data into a first simplified data set and a second simplified data set; calculating the ship data through the first simplified data set, the ship data including the ship position, the ship navigation route and the ship navigation speed; calibrating the ship data through the second simplified data set to obtain the ship navigation data.

[0010] In an optional embodiment, the ship data is calibrated through the second streamlined data set to obtain the ship navigation data, specifically including: determining the ship calibration route according to the ship position and the ship navigation route through the second streamlined data set; calculating the ship calibration speed according to the ship navigation route and the change of the ship position at different times through the second streamlined data set; and obtaining the ship navigation data according to the ship calibration route and the ship calibration speed.

[0011] In an optional implementation, the multi-source data in the sea area are processed by a multi-source heterogeneous coupling model to integrate the multi-source data in the sea area into ship navigation data, which specifically includes: generating ship behavior records in the sea area map based on the ship navigation simplified data; obtaining abnormal behaviors in the ship behavior records, the abnormal behaviors including abnormal ship data and abnormal ship headings; and marking abnormal ships that exhibit the abnormal behaviors.

[0012] In an optional implementation, calculating the ship's navigation speed in the ship data through the first streamlined data set specifically includes: determining the ship's navigation route based on the interaction of AIS automatic identification system, high-frequency wireless communication and CCTV video surveillance system data; obtaining the ship's position at different times; performing a segmented speed change curve on the ship's navigation route, performing segmented calculations on the ship's navigation route, and calculating the ship's navigation speed based on the ship's navigation route and the ship's position at different times as follows: V=l i / t i ; Where V is the ship's sailing speed, l i The time interval is t i Time of flight.

[0013] In an optional implementation, the ship data is calibrated using the second reduced data set to obtain the ship navigation data, specifically including: obtaining ship position information at both ends of a time interval based on remote sensing, obtaining ship wake characteristics, and determining a ship calibration route; and calculating a distance d between two ship positions based on the longitude and latitude data of the ship position at both ends of a time interval:

[0014] Where r is the radius of the earth, Φ 1 and Φ 2 is the latitude of the two ship positions, ΔΦ is the latitude difference between the two ship positions, and Δλ is the longitude difference between the two ship positions; the time interval t between the two ship positions is obtained k , based on the time interval and the distance d between the two ship positions, calculate the ship calibration speed: v = d / t k ;;Compare the ship's calibration speed with the ship's sailing speed to obtain a speed difference; determine the ship's speed based on the speed difference.

[0015] In an optional implementation, the multi-source data in the sea area is processed by a multi-source heterogeneous coupling model to integrate the multi-source data in the sea area into ship navigation data, which specifically includes: fusing radar data with AIS data to form a first integrated target for comprehensive processing and display; fusing Beidou data with the first integrated target to obtain a second integrated target. Fusing the second integrated target with CCTV data to indicate the source of the data; fusing the second integrated target with satellite remote sensing data to obtain the ship navigation data; wherein the radar data is the monitoring data of the detection radar, the AIS data is the monitoring data of the AIS automatic identification system, the Beidou data is the monitoring data of Beidou-3, the CCTV data is the monitoring data of the CCTV video monitoring system, and the satellite remote sensing data is the monitoring data of satellite remote sensing.

[0016] In an optional implementation, establishing a sea area map according to the ship navigation data specifically includes:

[0017] Based on the CCTV video surveillance system, the ship data in the video is obtained to obtain the video data:

[0018] Extracting the video data, extracting continuous image frames containing the detected ship;

[0019] Tracking the detected vessel in the consecutive image frames based on a tracking algorithm;

[0020] Setting a central coordinate point, and recording the position of the detected ship in continuous image frames based on the central coordinate point;

[0021] According to the position of the detected ship in the two image frames, the moving distance D of the detected ship is calculated:

[0022]

[0023] Among them, (x 1 ,y 1 ) and (x 2 ,y 2 ) are the coordinates of the detected ship in the two image frames;

[0024] Get the time interval t between two image frames r , calculate the moving speed V of the detected ship i :

[0025] V i =D / t r ;

[0026] The sea area map is established according to the movement speed.

[0027] Through the above technical solution, the present invention has the following beneficial effects:

[0028] 1. This application obtains multi-source data in the sea area, integrates data from different sources, determines the accuracy of the integrated data, and uses the data to warn ships in the sea area to ensure the accuracy of the warning for ships in the sea area. It uses multi-source heterogeneous coupling processing to simplify the complexity of data display after separate tracking and processing by multi-source sensors, and ensure the accuracy of data sharing.

[0029] 2. Collect multi-source data in the sea area through a multi-source heterogeneous coupling model, centrally process the multi-source data in the sea area, integrate the multi-source data in the sea area through a multi-source heterogeneous coupling model, and output unified data to determine the accuracy of the data and ensure the stability of data processing. Establishing a multi-source heterogeneous coupling model based on multi-source data in the sea area to integrate unified data can facilitate data synchronization.

[0030] 3. After collecting multi-source data in the sea area, integrate the data for centralized display, establish a sea area map, display and determine the ship data in the sea area based on coordinates, simplify the displayed data, and after coupling the multi-source data in the sea area, improve the success rate of identifying illegal ships in submarine cable areas and wind farms, and reduce the success rate of identifying illegal ships.

[0031] 4. Use a multi-source heterogeneous coupling model to locate the ship, determine the ship's position based on the ship's navigation route and speed, obtain the rationality of the ship's position in the sea area, identify illegal ships in the sea area, further improve the success rate of illegal ships, and improve the intelligent, networked, and information-based supervision capabilities and levels of the navigation environment in the wind farm sea area. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] Figure 1 It is a schematic diagram of each level of the marine safety monitoring information processing system of the present invention;

[0033] Figure 2 is a system flow chart of the marine safety monitoring information processing system of the present invention;

[0034] Figure 3 It is a flow chart of the multi-source heterogeneous coupling processing method for wind farm management of the present invention;

[0035] Figure 4 The present invention is a schematic diagram of obtaining the position of a detected ship in a video based on a CCTV video monitoring system according to the multi-source heterogeneous coupling processing method for wind farm management of the present invention.

[0036] Description of reference numerals:

[0037] 100. Monitoring layer; 110. Automatic detection unit; 111. AIS automatic identification system; 112. High-frequency wireless communication; 112. CCTV video monitoring system; 120. Remote sensing detection unit; 121. Detection radar; 122. Optoelectronic radar; 123. BeiDou-3; 124. Satellite remote sensing; 200. Transmission layer; 300. Processing layer; 310. Multi-source heterogeneous coupling model; 400. Defense layer; 410. Warning unit; 420. Early warning unit. DETAILED DESCRIPTION

[0038] The following will disclose multiple embodiments of the present invention with the accompanying drawings. For the purpose of clear description, many practical details will be described together in the following description. However, it should be understood that these practical details should not be used to limit the present invention. In other words, in some embodiments of the present invention, these practical details are not necessary. And if it is possible to implement, the features of different embodiments can be applied interchangeably.

[0039] Unless otherwise defined, all words (including technical and scientific terms) used herein have their usual meanings, which can be understood by those familiar with this field. Furthermore, the definitions of the above words in commonly used dictionaries should be interpreted as the meanings consistent with the relevant fields of the present invention in the content of this specification. Unless otherwise clearly defined, these words will not be interpreted as idealized or overly formal meanings.

[0040] See also Figure 1 and Figure 2 The present invention provides a marine safety monitoring information processing system, which simplifies the data display of ships and improves the success rate of identifying illegal ships by acquiring multi-source heterogeneous data from wind farms and integrating multi-source data in the sea area.

[0041] In one embodiment, the marine safety monitoring information processing system includes:

[0042] The monitoring layer 100 is suitable for collecting multi-source data in the sea area.

[0043] The processing layer 300 includes a multi-source heterogeneous coupling model 310. The multi-source heterogeneous coupling model 310 is connected to the monitoring layer 300 to obtain multi-source data in the sea area, and integrate the multi-source data in the sea area into ship navigation data, establish a sea area map based on the ship navigation data, and display the ship data in the sea area map corresponding to the ship coordinates.

[0044] The transmission layer 200 realizes data transmission and data sharing between the monitoring layer 100 and the processing layer 300, wherein data transmission between the wind farm and the maritime agency is realized through the transmission layer 200.

[0045] Among them, the processing layer 300 constructs a multi-source heterogeneous coupling model 310 based on the multi-source data in the sea area obtained by the monitoring layer 100, processes the multi-source data in the sea area through the multi-source heterogeneous coupling model 310, processes different types of data, and integrates them into ship navigation data. The ship data is calculated and calibrated according to the ship navigation data, and the ship behavior is analyzed according to the changes in the ship data, illegal ships are determined, and illegal ships are warned.

[0046] In this embodiment, multi-source data in the sea area are integrated into ship data, the data acquired by the monitoring layer 100 is denoised, important data in the multi-source data in the sea area are extracted, the important data are transformed, and the ship data is calculated. The ship data is adjusted according to the important data in the multi-source data in the sea area, the ship data is used to reflect the ship behavior, and illegal ships are determined based on the ship behavior.

[0047] The simplified ship data can facilitate data sharing among multiple parties and ensure the accuracy of data sharing. Since the simplified ship data is more intuitive, it is also more convenient to retrieve and analyze the ship data. The ship data is calculated and calibrated through multi-source data in the sea area, which can reduce the false alarm rate of illegal ships and improve the success rate of illegal ship identification.

[0048] Optionally, the sea map is established based on the actual sea area. The location of the ship can be determined through the sea map coordinates, and the ship data can be displayed more intuitively through the sea map.

[0049] In one embodiment, the automatic detection unit 110 includes: an AIS automatic identification system 111 and a CCTV video monitoring system 112. The AIS automatic identification system 111 is suitable for obtaining the first original data of ship navigation, and the remote sensing detection unit 120 includes: a detection radar 121, Beidou-3 122 and a satellite remote sensing 123. The remote sensing detection unit 120 is suitable for obtaining the second original data of ship navigation, and the automatic detection unit and the remote sensing detection unit are respectively connected to the processing layer for communication, and the processing layer calibrates the first original data of ship navigation according to the second original data of ship navigation to obtain the ship navigation data. The ship navigation data is obtained by the automatic detection unit 110 and calibrated by the remote sensing detection unit 120.

[0050] In this embodiment, the automatic detection unit 110 is an active data interaction implemented by the ship during navigation:

[0051] AIS Automatic Identification System 111 exchanges electronic data with nearby ships, AIS shore stations, satellites and other equipment, and provides identification and positioning for the vessel traffic management system;

[0052] High-frequency wireless communication obtains the interaction between ships in close proximity in the sea area, and determines the position of the ships based on the direction and distance of high-frequency wireless communication;

[0053] The CCTV video monitoring system 112 obtains image information around the ship, identifies abnormal ships within the ship range for relevant situations occurring near the ship, and determines the state change of the abnormal ships based on the movement of the ships.

[0054] The remote sensing detection unit 120 performs positioning calibration on the ship to determine whether the active data interaction achieved by the automatic detection unit 110 is correct:

[0055] Detection radar 121, further accurate ship position and ship course speed through radio positioning;

[0056] Photoelectric radar, assisting detection radar in ship positioning;

[0057] BeiDou-3 122, determines the ship's position through the interaction between the ship and BeiDou-3 122;

[0058] Satellite remote sensing 123 is used to locate the ship, obtain the ship wake characteristics, determine the ship heading, and obtain detailed information about the ship, such as the hull material and coating characteristics.

[0059] By combining the automatic detection unit 110 with remote sensing technology, the ship's position is accurately determined, and the ship's position, heading and speed are determined by further calibration of the automatic detection unit 110 data and remote sensing technology, and the ship's behavior is determined based on the ship's position, navigation and speed.

[0060] In one embodiment, the defense layer performs defense according to the ship navigation data, and the defense layer includes an alarm unit and an early warning unit. The ship is identified as an illegal ship based on the ship behavior of the ship navigation data, and an illegal ship is alarmed. The defense layer includes an alarm unit 410 and an early warning unit 420. The alarm unit 410 includes: a foghorn, a warning light, a VHF broadcast, a coastal defense laser, and a directional high-frequency strong sound expulsion system.

[0061] The warning unit 420 includes: a warning indicator light, a marking system and a communication module.

[0062] Optionally, the early warning unit 420 is also arranged in a ship dispatching and commanding center, which communicates with normal ships within the early warning range and conducts command and dispatch for the normal ships.

[0063] In this embodiment, the setting of the alarm unit 410 can serve the purpose of warning and expulsion, and the early warning unit can mark and warn normal ships within the warning range of abnormal ships, so as to dispatch normal ships away from abnormal ships, and the setting of the early warning unit 420 can further accurately identify abnormal ships and perform behavioral analysis on abnormal ships more quickly.

[0064] like Figure 3 and Figure 4 As shown, the present invention also provides a multi-source heterogeneous coupling processing method for wind farm management, using any marine safety monitoring information processing system, the multi-source heterogeneous coupling processing method for wind farm management includes the following steps:

[0065] Step S101: Acquire multi-source data in the sea area.

[0066] Step S102: Processing the multi-source data in the sea area through a multi-source heterogeneous coupling model to integrate the multi-source data in the sea area into ship navigation data.

[0067] Step S103: Create a sea area map based on the ship navigation data.

[0068] Step S104: Displaying the ship data corresponding to the ship coordinates in the sea area map.

[0069] In this embodiment, the multi-source heterogeneous coupling model 310 calculates the ship data, determines abnormal ship behavior, marks the abnormal ship behavior, issues an early warning through an early warning indicator light, identifies normal ships within the early warning range based on the abnormal ship position information and heading changes that indicate abnormal ship behavior, communicates with normal ships within the early warning range through a communication module, and reports the abnormal ship position.

[0070] Furthermore, in step S102, the multi-source data in the sea area are processed by a multi-source heterogeneous coupling model to integrate the multi-source data in the sea area into ship navigation data, which specifically includes the following steps:

[0071] Step S1021: Data is exchanged between the transmission layer and the monitoring layer to obtain the original data of the ship's navigation monitored by the automatic detection unit and the remote sensing detection unit. The original data includes the first original data of the ship's navigation and the second original data of the ship's navigation. The first original data of the ship's navigation includes the monitoring data of the automatic detection unit, and the second original data of the ship's navigation includes the monitoring data of the remote sensing detection unit.

[0072] Step S1022: cleaning and denoising the first original ship navigation data and the second original ship navigation data to obtain simplified ship navigation data;

[0073] Step S1023: Split the ship navigation simplified data into a first simplified data set and a second simplified data set, wherein the first simplified data set is used to calculate the ship data, and the second simplified data set is used to calibrate the ship data.

[0074] Step S1024: Calculate the ship data through the first simplified data set, the ship data includes the ship position, ship sailing route and ship sailing speed, the first simplified data set calculates the ship position and ship sailing route contained in the ship data, calculates the ship sailing speed, and calibrates the ship sailing route.

[0075] Step S1025: Calibrate the ship data using the second reduced data set to obtain ship navigation data. Determine the ship calibration route using the ship position and heading, calculate the ship calibration speed based on the ship navigation route and the ship position changes at different times, and obtain the ship navigation data.

[0076] In this embodiment, the multi-source data in the sea area monitored by the monitoring layer is processed, the multi-source data in the sea area is cleaned and denoised based on the data required to calculate the ship data, the ship navigation data related to the ship data is obtained, the ship data is calculated based on the ship navigation data and the ship data is calibrated to ensure the accuracy of the ship data.

[0077] Furthermore, step S1025, calibrating the ship data by using the second reduced data set to obtain the ship navigation data, specifically includes the following steps:

[0078] Step S10251: Determine a ship calibration route based on the ship position and the ship navigation route using the second reduced data set.

[0079] Step S10252: Calculate the ship calibration speed based on the second reduced data set according to the ship's navigation route and changes in the ship's position at different times.

[0080] Step S10253: Obtain ship navigation data according to the ship calibration route and the ship calibration speed.

[0081] The first simplified data set is the ship navigation data collected by the automatic detection unit, and the second simplified data set is the ship navigation data collected by the remote sensing detection unit.

[0082] Optionally, the second reduced data set includes position information about the calculated ship acquired by an automatic detection unit of a ship other than the calculated ship.

[0083] Furthermore, based on step S102, the multi-source data in the sea area is processed by a multi-source heterogeneous coupling model to integrate the multi-source data in the sea area into ship navigation data, which specifically includes the following steps:

[0084] Step S1026: Generate ship behavior records in the sea area map based on the simplified ship navigation data.

[0085] Step S1027: Acquire abnormal behavior in the ship behavior record, where the abnormal behavior includes abnormal ship data and abnormal ship heading.

[0086] Step S1028: Mark the abnormal ship that exhibits abnormal behavior.

[0087] In this embodiment, marking abnormal ships can track the location of abnormal ships at all times, determine the behavior of abnormal ships, and focus on analyzing the abnormal ship behavior. Since abnormal ships cannot obtain ship data through automatic detection units, ship data is obtained through remote sensing detection units and the location of abnormal ships is determined by using the CCTV video monitoring system of ships around them.

[0088] In one embodiment, based on step S1024, the ship sailing speed in the ship data is calculated using the first reduced data set, and the specific steps are as follows:

[0089] Step S10241: Determine the ship's navigation route based on the data interaction of the AIS automatic identification system, high-frequency wireless communication and CCTV video monitoring system.

[0090] Step S10242: obtaining the ship position at different times;

[0091] Step S10243: Segmenting the ship's sailing route and calculating the ship's sailing route segment by segment using the speed change curve. The formula for calculating the ship's sailing speed V based on the ship's sailing route and the ship's position at different times is as follows:

[0092] V=l i / t i ;

[0093] Where V is the ship's sailing speed, l i The time interval is t i time of flight.

[0094] In this embodiment, the ship's navigation speed is determined by the ship's navigation data in the first streamlined data set, and the ship's navigation speed is calculated based on an AIS automatic identification system and high-frequency wireless communication, wherein the angular deviation in the ship's navigation route is determined by a CCTV video monitoring system, and the acceleration and deceleration of the ship during navigation is determined by reference objects in the CCTVB video monitoring system.

[0095] The reference object of the CCTV video monitoring system is captured, the position change of the reference object in the video is obtained, and the heading of the ship is determined according to the position change of the reference object in the video. In another embodiment, the reference object can be a wake, a lighthouse, etc. during the navigation of the ship.

[0096] In one embodiment, based on step S1025, calibrating the ship data by using the second reduced data set specifically includes calibrating the ship data by using the second reduced data set to obtain the ship navigation data, specifically including the following steps:

[0097] Step S10254: Based on remote sensing technology, the ship position information at both ends of a time interval is obtained, the ship wake characteristics are obtained, and the ship calibration route is determined.

[0098] Step S10255: Calculate the distance d between the two ship positions based on the longitude and latitude data of the ship positions at both ends of a time interval:

[0099]

[0100] Where r is the radius of the earth, Φ 1 and Φ 2 is the latitude of the two ship positions, ΔΦ is the latitude difference between the two ship positions, and Δλ is the longitude difference between the two ship positions.

[0101] Step S10256: Obtain the time interval t between the positions of two shipsk , the ship calibration speed is calculated based on the time interval and the distance d between the two ship positions:

[0102] v=d / t k .

[0103] The ship's calibrated speed is compared with the ship's sailing speed to obtain the speed difference.

[0104] Step S10256: Determine the ship speed based on the speed difference.

[0105] In this embodiment, the ship calibration speed is calculated based on the position information of the two ships, and the ship calibration speed is compared with the ship sailing speed to obtain the speed difference. The speed difference indicates the difference between the ship's active interaction data and the actual data, thereby further accurately determining the ship speed.

[0106] Among them, the ship wake characteristics are obtained through the remote sensing detection unit, and the detection radar and optoelectronic radar are combined to monitor the ship position information, and the ship calibration route based on the ship wake characteristics is drawn. The ship navigation route in the first streamlined data set and the ship calibration route in the second streamlined data set are both drawn in the sea area map.

[0107] Further, based on step S102, the multi-source data in the sea area is processed by a multi-source heterogeneous coupling model to integrate the multi-source data in the sea area into ship navigation data, which specifically includes the following steps:

[0108] Step S1029: Fusing the radar data with the AIS data to form a first integrated target for comprehensive processing and display.

[0109] Step S1030: Fuse the Beidou data with the first integration target to obtain a second integration target.

[0110] Step S1031: Fuse the second integration target with CCTV data and indicate the data source.

[0111] Step S1032: Fusing the second integrated target with the satellite remote sensing data to obtain ship navigation data.

[0112] Among them, radar data is the monitoring data of detection radar, AIS data is the monitoring data of AIS automatic identification system, Beidou data is the monitoring data of Beidou-3, CCTV data is the monitoring data of CCTV video monitoring system, and satellite remote sensing data is the monitoring data of satellite remote sensing.

[0113] In this embodiment, a multi-source heterogeneous data coupling algorithm is developed to fuse and display multiple source information of a target.

[0114] The radar and AIS signals are coupled and processed to form an integrated target for comprehensive processing and display, and the AIS identification number replaces the ID number of the radar automatic tracking. The position data of the radar tracking takes precedence over the position data of the AIS information. When the BeiDou-3 is integrated with the AIS / radar, the BeiDou-3 position, name and other identifications are absolutely prioritized, the AIS name identification is a relative identification, and the radar position information is the secondary location information. When the second integrated target is integrated with CCTV, the BeiDou-3 / radar / AIS integrated target and CCTV, including the photoelectric radar CCTV target, are coupled and processed, and the CCTV target is identified with the integrated target; the integrated target is used for CCTV and VHF to provide linkage services and shared data services, and the data source is indicated. In the process of integrating the second integrated target with the satellite image target, after the satellite remote sensing target AI is extracted and the fixed target identification is processed, the image target identified as the ship is coupled with the second integrated target, and the image target is identified, and the satellite position and portrait are recorded and displayed first.

[0115] In one embodiment, based on step S103, establishing a sea area map according to the ship navigation data specifically includes the following steps:

[0116] Step S10301: Obtain ship data in video data based on the CCTV video monitoring system to obtain video data.

[0117] Step S10302: extracting video data, extracting continuous image frames containing the detected ship.

[0118] Step S10303: Tracking the detected ship in continuous image frames based on a tracking algorithm.

[0119] Step S10305: Set a central coordinate point, and record the position of the detected ship in continuous image frames based on the central coordinate point.

[0120] Step S10306: Calculate the moving distance D of the detected ship according to the position of the detected ship in the two image frames:

[0121]

[0122] Where (x 1 ,y 1 ) and (x 2 ,y 2 ) are the coordinates of the detected ship in the two image frames;

[0123] Get the time interval t between two image frames r , calculate the moving speed V of the detected ship i :

[0124] V i =D / tr .

[0125] Step S10307: Create a sea area map based on the movement speed.

[0126] In this embodiment, obtaining video data from the CCTV video monitoring system to calculate the speed of the monitored ship can accurately locate the illegal ship, thereby determining the position information of the illegal ship, judging the behavior of the illegal ship according to the heading and sailing speed of the illegal ship, and the warning range of the illegal ship.

[0127] In one embodiment, the position of a detected ship in a CVCTV video surveillance system is determined, and the precise position of the detected ship is further determined by a remote sensing detection unit. A search is performed based on the multi-point detected ship position to determine a first reduced data set including the detected ship position.

[0128] In this embodiment, the position of the monitored ship is determined based on the CCTV video monitoring system and the remote sensing detection unit, and the first streamlined data set is retrieved based on the multi-point detected ship positions. When there is no first streamlined data set matching the monitored ship position, the detected ship is marked as an abnormal ship.

[0129] In one embodiment, the current sailing speed and heading of the ship are determined, the predicted position that the ship will reach after a period of time while maintaining the heading is calculated, and an early warning is issued to the ship based on the predicted position.

[0130] In summary, the technical solutions disclosed in the above embodiments of the present invention have at least the following advantages:

[0131] 1. This application obtains multi-source data in the sea area, integrates data from different sources, determines the accuracy of the integrated data, and uses the data to warn ships in the sea area to ensure the accuracy of the warning for ships in the sea area. It uses multi-source heterogeneous coupling processing to simplify the complexity of data display after separate tracking and processing by multi-source sensors, and ensure the accuracy of data sharing.

[0132] 2. Collect multi-source data in the sea area through a multi-source heterogeneous coupling model, centrally process the multi-source data in the sea area, integrate the multi-source data in the sea area through a multi-source heterogeneous coupling model, and output unified data to determine the accuracy of the data and ensure the stability of data processing. Establishing a multi-source heterogeneous coupling model based on multi-source data in the sea area to integrate unified data can facilitate data synchronization.

[0133] 3. After collecting multi-source data in the sea area, integrate the data for centralized display, establish a sea area map, display and determine the ship data in the sea area based on coordinates, simplify the displayed data, and after coupling the multi-source data in the sea area, improve the success rate of identifying illegal ships in submarine cable areas and wind farms, and reduce the success rate of identifying illegal ships.

[0134] 4. Use a multi-source heterogeneous coupling model to locate the ship, determine the ship's position based on the ship's navigation route and speed, obtain the rationality of the ship's position in the sea area, identify illegal ships in the sea area, further improve the success rate of illegal ships, and improve the intelligent, networked, and information-based supervision capabilities and levels of the navigation environment in the wind farm sea area.

[0135] Although the present invention is disclosed in conjunction with the above embodiments, it is not intended to limit the present invention. Anyone familiar with this technology can make various changes and modifications without departing from the spirit and scope of the present invention. Therefore, the scope of protection of the present invention should be based on the definition of the attached claims.

Claims

1. A marine safety monitoring information processing system, characterized in that: include: The monitoring layer is suitable for collecting multi-source data in the sea area; A processing layer, the processing layer includes a multi-source heterogeneous coupling model, the multi-source heterogeneous coupling model is communicatively connected with the monitoring layer to obtain multi-source data in the sea area, and integrate the multi-source data in the sea area into ship navigation data, establish a sea area map according to the ship navigation data, and display the ship data in the sea area map corresponding to the ship coordinates; The transport layer realizes data transmission and data sharing between the monitoring layer and the processing layer.

2. A marine safety monitoring information processing system according to claim 1, characterized in that: The monitoring layer includes: An automatic detection unit, the automatic detection unit including an AIS automatic identification system and a CCTV video monitoring system, suitable for obtaining the first original data of the ship's navigation; A remote sensing detection unit, which includes a detection radar, BeiDou-3 and satellite remote sensing, and is suitable for obtaining the second original data of ship navigation; Wherein, the automatic detection unit and the remote sensing detection unit are respectively connected to the processing layer for communication, and the processing layer calibrates the first original data of ship navigation according to the second original data of ship navigation to obtain the ship navigation data.

3. A method for processing marine safety monitoring information, characterized in that: Using the marine safety monitoring information processing system according to claim 1 or 2, the marine safety monitoring information processing method comprises: Obtain multi-source data in the sea area; Processing the multi-source data in the sea area through a multi-source heterogeneous coupling model to integrate the multi-source data in the sea area into ship navigation data; Establishing a sea area map according to the ship navigation data; The ship data is displayed in the sea area map corresponding to the ship coordinates.

4. The method for processing marine safety monitoring information according to claim 3, characterized in that: The multi-source data in the sea area are processed by a multi-source heterogeneous coupling model to integrate the multi-source data in the sea area into ship navigation data, specifically including: Cleaning and denoising the first original data of ship navigation and the second original data of ship navigation to obtain simplified data of ship navigation; Splitting the ship navigation simplified data into a first simplified data set and a second simplified data set; Calculating ship data using the first reduced data set, the ship data including the ship's position, the ship's sailing route and the ship's sailing speed; The ship data is calibrated using the second reduced data set to obtain the ship navigation data.

5. The method for processing marine safety monitoring information according to claim 4, characterized in that: Calibrating the ship data by using the second reduced data set to obtain the ship navigation data specifically includes: Determining a ship calibration route according to the ship position and the ship navigation route using the second reduced data set; Calculating the ship's calibrated speed based on the ship's navigation route and the changes in the ship's position at different times using the second reduced data set; The ship navigation data is obtained according to the ship calibration route and the ship calibration speed.

6. The method for processing marine safety monitoring information according to claim 4, characterized in that: The multi-source data in the sea area are processed by a multi-source heterogeneous coupling model to integrate the multi-source data in the sea area into ship navigation data, which specifically includes: Generating a ship behavior record in the sea area map based on the simplified ship navigation data; Acquiring abnormal behaviors in the ship behavior record, wherein the abnormal behaviors include abnormal ship data and abnormal ship heading; Abnormal ships that exhibit the abnormal behavior are marked.

7. A method for processing marine safety monitoring information according to claim 4, characterized in that: Calculating the ship sailing speed in the ship data by using the first reduced data set specifically includes: Determine the navigation route of the ship based on data interaction of the AIS automatic identification system, high-frequency wireless communication and CCTV video monitoring system; Get the ship's position at different times; The ship's navigation route is segmented into speed change curves, the ship's navigation route is segmented and calculated, and the ship's navigation speed is calculated based on the ship's navigation route and the ship's position at different times as follows: V=l i / t i ; Where V is the ship's sailing speed, l i The time interval is t i time of flight.

8. A marine safety monitoring information processing system according to claim 4, characterized in that: Calibrating the ship data by using the second reduced data set to obtain the ship navigation data specifically includes: Based on remote sensing, the ship's position information at both ends of a time interval is obtained, the ship's wake characteristics are obtained, and the ship's calibration route is determined; The distance d between the two ship positions is calculated based on the longitude and latitude data of the ship positions at both ends of a period of time: Where r is the radius of the earth, Φ1 and Φ2 are the latitudes of the two ship positions, ΔΦ is the latitude difference between the two ship positions, and Δλ is the longitude difference between the two ship positions; Get the time interval t between the two ship positions k , the ship calibration speed is calculated based on the time interval and the distance d between the two ship positions: v=d / t k ; Compare the ship calibration speed with the ship's sailing speed to obtain the speed difference; The ship speed is determined according to the speed difference.

9. A method for processing marine safety monitoring information according to any one of claims 3 to 8, characterized in that: The multi-source data in the sea area are processed by a multi-source heterogeneous coupling model to integrate the multi-source data in the sea area into ship navigation data, which specifically includes: Fuse radar data with AIS data to form the first integrated target for comprehensive processing and display; Fusing the Beidou data with the first integration target to obtain a second integration target; Merge the second integration target with CCTV data and indicate the data source; fusing the second integrated target with satellite remote sensing data to obtain the ship navigation data; Among them, the radar data is the monitoring data of the detection radar, the AIS data is the monitoring data of the AIS automatic identification system, the Beidou data is the monitoring data of the Beidou-3, the CCTV data is the monitoring data of the CCTV video monitoring system, and the satellite remote sensing data is the monitoring data of satellite remote sensing.

10. A method for processing marine safety monitoring information according to any one of claims 3 to 8, characterized in that: Establishing a sea area map according to the ship navigation data specifically includes: Based on the CCTV video surveillance system, the ship data in the video is obtained to obtain the video data: Extracting the video data, extracting continuous image frames containing the detected ship; Tracking the detected vessel in the consecutive image frames based on a tracking algorithm; Setting a central coordinate point, and recording the position of the detected ship in continuous image frames based on the central coordinate point; According to the position of the detected ship in the two image frames, the moving distance D of the detected ship is calculated: Among them, (x1, y1) and (x2, y2) are the coordinates of the detected ship in the two image frames; Get the time interval t between two image frames r , calculate the moving speed V of the detected ship i : V i =D / t r ; The sea area map is established according to the movement speed.

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