Boundary area monitoring method and system for ship operation

Abstract

The invention provides a boundary area monitoring method and system for ship operation, and the method comprises the steps: determining a boundary area of an oil field area, and determining a monitoring range based on the boundary area; adopting an AIS (Automatic Identification System) to identify a ship in a monitoring range, and obtaining AIS data information of the ship; acquiring meteorological and hydrological data information of the monitoring range; performing ship operation prediction according to the ship AIS data information and the meteorological and hydrological data information to obtain ship prediction information; performing boundary area monitoring analysis on the ship prediction information in combination with an oil field area, determining whether ship operation has safety risks or not, and obtaining a monitoring analysis result; and performing security risk warning based on a monitoring analysis result. According to the invention, comprehensive real-time monitoring of the oil field area is realized, and safety risk warning can be carried out in time when safety risks exist in ship operation, so that ship operation adjustment can be carried out in time aiming at ships, safety accidents are avoided, and potential safety hazards are reduced.

Description

Technical Field

[0001] The present invention relates to the field of monitoring and analysis technology, and in particular to a boundary area monitoring method and system for ship operations. Background Art

[0002] Oilfield refers to a special area established in the oil industry for the purpose of oil extraction. It usually exists on the ocean and involves inflammable and explosive materials such as crude oil and natural gas. Ship operations on the ocean are inevitable. When ships are operating in the oilfield, if an accident occurs between the ship and the oilfield, leakage or oil spill problems usually occur, which will also bring various safety problems, such as serious pollution and damage to the surrounding marine ecological environment, loss of ships, safety of crew members, etc. Therefore, it is very necessary to monitor the boundary area based on ship operations. At present, when monitoring the boundary area based on ship operations, the monitoring error is large, and the safety risks of ship operations in the oilfield cannot be discovered in time, resulting in high safety hazards. Therefore, the present invention proposes a boundary area monitoring method and system for ship operations, which realizes comprehensive real-time monitoring of the oilfield, and can timely issue safety risk warnings when there are safety risks in ship operations, so as to timely adjust the ship operations for the ship, avoid the occurrence of safety accidents, and reduce safety hazards. Summary of the invention

[0003] The object of the present invention is to provide a method and system for monitoring a boundary area of ​​a ship operation, so as to solve the problems raised in the above-mentioned background technology.

[0004] To achieve the above object, the present invention provides the following technical solution: a boundary area monitoring method for ship operation, comprising:

[0005] Determine the boundary area of ​​the oil field area and determine the monitoring scope based on the boundary area;

[0006] Use the AIS system to identify ships within the monitoring range and obtain ship AIS data information;

[0007] Obtain meteorological and hydrological data information within the monitoring range;

[0008] Ship operation forecast is carried out based on ship AIS data information and meteorological and hydrological data information to obtain ship forecast information;

[0009] Combine ship prediction information with oilfield area to monitor and analyze border areas, determine whether there are safety risks in ship operations, and obtain monitoring and analysis results;

[0010] Issue security risk alerts based on monitoring and analysis results.

[0011] Furthermore, when the AIS system is used to identify a ship within the monitoring range, the monitoring range is monitored, and it is analyzed and determined whether a ship appears within the monitoring range to obtain a first analysis and judgment result. When a ship appears within the monitoring range according to the first analysis and judgment result, the AIS system is used to identify the ship appearing within the monitoring range, and an AIS message is obtained to obtain the ship's AIS data information. At the same time, a ship appearance reminder is determined for the ship appearing within the monitoring range, and a prompt is given according to the ship appearance reminder.

[0012] Furthermore, ship operation prediction is performed based on ship AIS data information and meteorological and hydrological data information, including:

[0013] Analyze the impact of ship operations based on meteorological and hydrological data information to obtain ship operation impact factors;

[0014] The ship route is predicted based on the ship AIS data information, and the ship operation influencing factors are used to correct the ship route prediction information to obtain the ship route correction information;

[0015] The ship speed is predicted based on the ship route correction information to obtain the ship predicted speed.

[0016] Further, the ship operation influencing factors include: a ship speed influencing factor and a ship route influencing factor. When performing ship operation impact analysis based on meteorological and hydrological data information, the ship speed and ship route correlation analysis are performed on the meteorological and hydrological data respectively, and the first correlation factor and the second correlation factor are screened out; the distribution of the first correlation factor or the second correlation factor within the monitoring range is analyzed to determine whether the first correlation factor or the second correlation factor is distributed consistently within the monitoring range. When the first correlation factor or the second correlation factor is distributed consistently within the monitoring range, the ship attribute information is obtained, and historical impact information is obtained based on the first correlation factor or the second correlation factor combined with the ship attribute information, and the impact factor is determined based on the historical impact information to obtain the ship speed impact factor or the ship route impact factor; when the first correlation factor or the second correlation factor is distributed inconsistently within the monitoring range, regional division is performed according to the distribution of the first correlation factor or the second correlation factor within the monitoring range, and the factor feature analysis is performed in turn according to the regional division result according to the district bureau to obtain the regional factor feature, and then the regional factor feature is combined with the ship attribute information to obtain the historical impact information, and the impact factor is determined based on the historical impact information to obtain the ship speed regional impact factor or the ship route regional impact factor.

[0017] Furthermore, route prediction is performed based on the ship AIS data information, including:

[0018] Retrieve ship voyage data based on ship AIS data information and obtain the ship's destination;

[0019] Obtain historical ship AIS data information for the ship to obtain historical ship AIS data information;

[0020] According to the historical information of ship AIS data and the current ship AIS data information, the ship dynamic data is acquired to obtain a ship dynamic data information set;

[0021] Analyze the change gradient of the ships in the ship dynamic data information set, and predict the ship dynamic data information according to the change gradient to obtain ship dynamic prediction data information;

[0022] The ship's dynamic prediction data information is combined with the ship's destination to perform route simulation and obtain ship route prediction information.

[0023] Further, when the ship operation influencing factor is used to correct the ship route prediction information, the ship route prediction information is corrected according to the ship route influencing factor, and the ship route prediction information is processed according to the type of the ship route influencing factor. When the type of the ship route influencing factor is the ship route area influencing factor, the effective data of the ship route area influencing factor is screened according to the distribution of the ship route area influencing factor in combination with the ship route prediction information to obtain the target ship route area influencing factor, and the ship route prediction information is segmented according to the distribution of the target ship route area influencing factor to obtain the ship route prediction information fragments, and then the target ship route area influencing factor is used to correct the ship route prediction information fragments to obtain the ship route correction information; when the type of the ship route influencing factor is the ship route influencing factor, the ship route influencing factor is directly used to correct the ship route prediction information to obtain the ship route correction information.

[0024] Further, ship speed prediction is performed based on the ship route correction information, including:

[0025] Segment processing is performed on the ship route correction information, and the ship route correction information is divided into multiple ship route segments;

[0026] Determine the current speed of the ship according to the ship's AIS data information, and judge whether the ship has ship acceleration to obtain the judgment result;

[0027] According to the judgment result, when there is ship acceleration, the ship acceleration is combined with the current speed of the ship to predict the speed of the ship route section, and the predicted speed of the ship route section is obtained;

[0028] The ship speed influencing factor or the ship speed regional influencing factor is used to correct the predicted speed of the ship route section to obtain the predicted corrected speed of the ship route section.

[0029] Furthermore, the ship prediction information is combined with the oil field area to carry out boundary area monitoring and analysis, including: route monitoring and analysis and speed monitoring and analysis. During the route monitoring and analysis, the route analysis is carried out according to the ship route prediction information in the ship prediction information to determine whether the ship has deviated and obtain a first monitoring and analysis result; during the speed monitoring and analysis, the speed analysis is carried out according to the ship predicted speed in the ship prediction information to determine whether the ship predicted speed exceeds the speed threshold and obtain a second monitoring and analysis result. At the same time, the boundary of the oil field area is determined, and the current speed of the ship is obtained after the ship enters the boundary of the oil field area. The current speed of the ship is compared with the predicted speed of the ship to obtain the speed deviation value, and the speed deviation value is used to determine whether the ship speed is abnormal to obtain a third monitoring and analysis result.

[0030] Furthermore, when issuing a safety risk warning based on the monitoring and analysis results, different modes of safety risk warning are adopted according to the monitoring and analysis results. When the first monitoring and analysis result is that the ship has deviated, the first safety risk warning mode is adopted for safety risk warning; when the second monitoring and analysis result is that the predicted speed of the ship exceeds the speed threshold, the second safety risk warning mode is adopted for safety risk warning; when the third monitoring and analysis result is that the ship's speed is abnormal, the third safety risk warning mode is adopted for safety risk warning.

[0031] A boundary area monitoring system for ship operations, comprising: a range determination module, a first acquisition module, a second acquisition module, an information prediction module, a monitoring and analysis module, and a risk warning module;

[0032] The range determination module is used to determine the boundary area of ​​the oil field area and determine the monitoring range based on the boundary area;

[0033] The first acquisition module is used to use the AIS system to identify ships within the monitoring range and obtain ship AIS data information;

[0034] The second acquisition module is used to acquire meteorological and hydrological data information within the monitoring range;

[0035] The information prediction module is used to predict ship operations based on ship AIS data information and meteorological and hydrological data information to obtain ship prediction information;

[0036] The monitoring and analysis module is used to combine the ship prediction information with the oil field area to perform boundary area monitoring and analysis, determine whether there is a safety risk in the ship operation, and obtain monitoring and analysis results;

[0037] The risk warning module is used to issue security risk warnings based on monitoring and analysis results.

[0038] The present invention realizes comprehensive real-time monitoring of the oil field area, which can not only increase the vigilance of relevant personnel when the ship approaches the oil field area, so that the relevant personnel can respond quickly when potential danger occurs to prevent the occurrence of safety accidents, but also can comprehensively and accurately grasp the situation of the ship's ship operations in the oil field area, and timely issue safety risk warnings when there are safety risks in the ship operation, so as to timely adjust the ship's ship operation to avoid the occurrence of safety accidents and reduce safety hazards.

[0039] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description and the accompanying drawings.

[0040] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0042] Figure 1 A schematic diagram of the steps of the boundary area monitoring method of the present invention;

[0043] Figure 2 This is a schematic diagram of step 4 in the boundary area monitoring method of the present invention;

[0044] Figure 3 A schematic diagram of step A2 of step 4 in the boundary area monitoring method of the present invention;

[0045] Figure 4 A schematic diagram of step A3 of step 4 in the boundary area monitoring method of the present invention;

[0046] Figure 5 Schematic diagram of the border area monitoring system according to the present invention. DETAILED DESCRIPTION

[0047] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0048] like Figure 1 As shown, an embodiment of the present invention provides a boundary area monitoring method for ship operation, comprising:

[0049] Step 1: determine the boundary area of ​​the oil field area, and determine the monitoring range based on the boundary area;

[0050] Step 2: Use the AIS system to identify the ship within the monitoring range and obtain the ship's AIS data information;

[0051] Step 3: Obtain meteorological and hydrological data information within the monitoring range;

[0052] Step 4: forecast ship operations based on ship AIS data information and meteorological and hydrological data information to obtain ship forecast information;

[0053] Step 5: Combine the ship prediction information with the oil field area to conduct boundary area monitoring and analysis to determine whether there are safety risks in ship operations and obtain monitoring and analysis results;

[0054] Step 6: Issue security risk alerts based on monitoring and analysis results.

[0055] In the above technical solution, when the monitoring range is determined based on the boundary area, the boundary area is used as a reference for expansion to determine the monitoring area.

[0056] In the above technical solution, the ship AIS data information includes: ship static data, ship dynamic data and ship voyage data; among them, the ship static data includes: ship name, call sign, MMSI, IMO, ship type, ship length, ship width, etc.; the ship dynamic data includes: longitude, latitude, heading, track direction, speed, etc.; the ship voyage data includes: ship status, draft, destination, ETA, etc.

[0057] In the above technical solution, the meteorological and hydrological data information includes: wind speed, wind direction, ocean current, tide, wave height, etc.

[0058] In the above technical solution, ship operation refers to the navigation route of the ship.

[0059] In the above technical solution, meteorological and hydrological data information is acquired from electronic nautical charts.

[0060] In the above technical solution, when a safety risk alarm is issued based on the monitoring and analysis results, when the monitoring and analysis results show that there is a safety risk in the ship operation, a safety risk alarm is issued; when the monitoring and analysis results show that there is no safety risk in the ship operation, there is no need to issue a safety risk alarm.

[0061] The above technical solution realizes comprehensive real-time monitoring of the oil field area, which can not only increase the vigilance of relevant personnel when the ship approaches the oil field area, so that the relevant personnel can respond quickly when potential danger occurs to prevent the occurrence of safety accidents, but also can comprehensively and accurately grasp the situation of the ship's ship operations in the oil field area, and timely issue safety risk warnings when there are safety risks in the ship operation, so as to timely adjust the ship's ship operations to avoid the occurrence of safety accidents and reduce safety hazards. By determining the monitoring range based on the boundary area, not only can the monitoring range include the oil field area, but also there can be a monitoring gap between the monitoring range and the boundary area of ​​the oil field area, so that the ship can be identified when it enters the monitoring range but does not enter the oil field area, so that there is sufficient time to adjust the ship operation when there is a safety risk between the ship operation and the oil field area, reducing the possibility of safety accidents and ensuring the safety of the ship and the oil field area. By predicting ship operations based on ship AIS data information and meteorological and hydrological data information, not only the current data information of the ship is taken into account when predicting ship operations, but also the impact of meteorology and hydrology on ship operations is combined, thereby improving the accuracy of ship prediction information, thereby providing guarantee for monitoring and analysis results and reducing errors in monitoring of border areas.

[0062] In an embodiment provided by the present invention, when an AIS system is used to identify a ship within a monitoring range, the monitoring range is monitored, and it is analyzed and determined whether a ship appears within the monitoring range to obtain a first analysis and determination result. When a ship appears within the monitoring range according to the first analysis and determination result, the AIS system is used to identify the ship that appears within the monitoring range, and an AIS message is obtained to obtain the ship's AIS data information. At the same time, a ship appearance reminder is determined for the ship that appears within the monitoring range, and a prompt is given according to the ship appearance reminder.

[0063] In the above technical solution, when the first analysis and judgment result is that no ship appears within the monitoring range, the monitoring range is continuously monitored.

[0064] The above technical solution can make relevant personnel aware of the appearance of a ship within the monitoring range by providing a reminder of the appearance of the ship while identifying the ship, thereby increasing the vigilance of the relevant personnel and enabling them to be prepared at any time for the ship to operate in the dangerous oil field area. In addition, by monitoring the monitoring range, the ship can be discovered in time when it appears within the monitoring range, so that the ship can be identified in time, and the ship AIS data information can be obtained in a shorter time, thereby improving the sensitivity of monitoring in the border area.

[0065] like Figure 2 As shown, in one embodiment provided by the present invention, ship operation prediction is performed based on ship AIS data information and meteorological and hydrological data information, including:

[0066] A1. Analyze the impact of ship operations based on meteorological and hydrological data information to obtain ship operation impact factors;

[0067] A2. Predicting the ship's route based on the ship's AIS data information, and correcting the ship's route prediction information using the ship's operation influencing factors to obtain ship route correction information;

[0068] A3. Predict the ship speed based on the ship route correction information to obtain the ship predicted speed.

[0069] In the above technical solution, the ship operation prediction includes: ship route prediction and ship speed prediction.

[0070] The above technical solution predicts ship operations by combining ship AIS data information with meteorological and hydrological data information, fully considering the impact of meteorology and hydrology on ship operations, reducing the error of ship prediction information, and thus ensuring the accuracy of boundary area monitoring. It also predicts ship speed based on ship route correction information, making the predicted ship speed closer to the actual situation, ensuring the accuracy of the predicted ship speed, and thus providing protection for boundary area monitoring and analysis.

[0071] In one embodiment provided by the present invention, the ship operation influencing factors include: a ship speed influencing factor and a ship route influencing factor. When performing ship operation impact analysis according to meteorological and hydrological data information, ship speed and ship route correlation analysis are respectively performed on meteorological and hydrological data to screen out a first correlation factor and a second correlation factor; the distribution of the first correlation factor or the second correlation factor within the monitoring range is analyzed to determine whether the first correlation factor or the second correlation factor is distributed consistently within the monitoring range. When the first correlation factor or the second correlation factor is distributed consistently within the monitoring range, ship attribute information is acquired, historical impact information is acquired according to the first correlation factor or the second correlation factor combined with the ship attribute information, and the impact factor is determined according to the historical impact information to obtain the ship speed impact factor or the ship route impact factor; when the first correlation factor or the second correlation factor is distributed inconsistently within the monitoring range, regional division is performed according to the distribution of the first correlation factor or the second correlation factor within the monitoring range, and factor feature analysis is performed in sequence according to the regional division result according to the district bureau to obtain regional factor features, and then the regional factor features are combined with the ship attribute information to acquire historical impact information, and the impact factor is determined according to the historical impact information to obtain the ship speed regional impact factor or the ship route regional impact factor.

[0072] In the above technical solution, the first correlation factor and the second correlation factor may be one or more.

[0073] In the above technical scheme, when acquiring historical impact information according to the first correlation factor or the second correlation factor combined with the ship attribute information, the historical impact information is acquired according to the first correlation factor combined with the ship attribute information, and the historical impact of the first correlation factor on the ship speed of ships with the same attribute is analyzed to obtain the historical impact information, and then the ship speed impact factor is determined according to the historical impact information, and the historical impact information is acquired according to the second correlation factor combined with the ship attribute information, and the historical impact of the second correlation factor on the ship route of ships with the same attribute is analyzed to obtain the historical impact information, and then the ship route impact factor is determined according to the historical impact information.

[0074] In the above technical scheme, when the first correlation factor or the second correlation factor is inconsistently distributed within the monitoring range, if the first correlation factor is inconsistently distributed within the monitoring range, the regional division is performed according to the distribution of the first correlation factor within the monitoring range; if the second correlation factor is inconsistently distributed within the monitoring range, the regional division is performed according to the distribution of the second correlation factor within the monitoring range; if the first correlation factor and the second correlation factor are inconsistently distributed within the monitoring range, the regional division is performed according to the distribution of the first correlation factor and the second correlation factor within the monitoring range respectively, so as to perform analysis and processing based on the regional division results.

[0075] In the above technical solution, when determining the influencing factor based on historical influencing information, the historical impact of the factors on the ship routes of ships with the same attributes are comprehensively analyzed, and the comprehensively analyzed influencing factor is used as the final ship speed influencing factor or ship route influencing factor or ship speed area influencing factor or ship route area influencing factor.

[0076] In the above technical solution, the ship attribute information includes: ship type, size, draft, etc.

[0077] The above technical scheme fully considers the impact of meteorology and hydrology on ship operations, improves the accuracy of ship operation prediction, and conducts correlation analysis of ship speed and ship route respectively for meteorological and hydrological data, so that when analyzing ship speed influencing factors or ship route influencing factors, only the factors affecting ship speed or ship route in meteorological and hydrological data are considered, thereby reducing the interference of irrelevant factors and the degree of confusion of ship speed influencing factors or ship route influencing factors. In addition, by analyzing the distribution of the first correlation factor or the second correlation factor within the monitoring range, it is possible to perform analysis based on the inconsistency of the distribution within the monitoring range, thereby improving the accuracy of the influencing factors.

[0078] like Figure 3 As shown, in one embodiment provided by the present invention, route prediction is performed based on ship AIS data information, including:

[0079] B1. Retrieve the ship’s voyage data based on the ship’s AIS data information and obtain the ship’s destination;

[0080] B2. Acquire historical ship AIS data information for the ship to obtain historical ship AIS data information;

[0081] B3. Acquire ship dynamic data according to the ship AIS data history information and the current ship AIS data information to obtain a ship dynamic data information set;

[0082] B4. Analyze the change gradient of the ships in the ship dynamic data information set, and predict the ship dynamic data information according to the change gradient to obtain ship dynamic prediction data information;

[0083] B5. Combine the ship dynamic prediction data information with the ship's destination to perform route simulation and obtain ship route prediction information.

[0084] In the above technical solution, the ship's voyage data is retrieved according to the ship's AIS data information to obtain the ship's voyage data, and then the destination is determined from the ship's voyage data, thereby obtaining the destination of the ship.

[0085] In the above technical solution, the ship AIS data history information is the recorded data information used to identify the ship by the AIS system. When acquiring the historical ship AIS data information of the ship, the target ship AIS data record information is obtained based on the ship AIS data record information of the ship locked by the ship, and then a preset number of recent ship AIS data record information is extracted from the target ship AIS data record information in chronological order to obtain the ship AIS data history information.

[0086] In the above technical scheme, when analyzing the change gradient of the ships in the ship dynamic data information set, the ship dynamic data information is arranged according to time, and the difference of the ship dynamic data information corresponding to adjacent times is calculated based on the time series to obtain the change gradient of the ship, and then a fitting analysis is performed on the change gradient to obtain the change law of the ship dynamic data information, and the ship dynamic data information is predicted based on the change law of the ship dynamic data information to obtain the ship dynamic prediction data information.

[0087] The above technical solution realizes the route prediction of the ship through the ship's AIS data information, so that the theoretical route of the ship to the destination can be understood based on the ship's own dynamic data. In addition, by combining the historical information of the ship's AIS data with the current ship's AIS data information for joint prediction, the changing trend of the ship's dynamic data can be clarified, the changing law of the ship's dynamic data can be understood, and the error of the route prediction can be reduced.

[0088] In an embodiment provided by the present invention, when the ship operation influencing factor is used to correct the ship route prediction information, the ship route prediction information is corrected according to the ship route influencing factor, and the ship route prediction information is processed according to the type of the ship route influencing factor. When the type of the ship route influencing factor is the ship route area influencing factor, the effective data of the ship route area influencing factor is screened according to the distribution of the ship route area influencing factor in combination with the ship route prediction information to obtain the target ship route area influencing factor, and the ship route prediction information is segmented according to the distribution of the target ship route area influencing factor to obtain the ship route prediction information fragments, and then the target ship route area influencing factor is used to correct the ship route prediction information fragments to obtain the ship route correction information; when the type of the ship route influencing factor is the ship route influencing factor, the ship route influencing factor is directly used to correct the ship route prediction information to obtain the ship route correction information.

[0089] In the above technical solution, the type of ship route influencing factor is related to the determination of the influencing factor, which is divided into two cases, one is overall and the other is distributed, which is divided into ship route influencing factor and ship route area influencing factor.

[0090] In the above technical scheme, when screening the effective data of the ship route area influencing factors according to the distribution of the ship route area influencing factors combined with the ship route prediction information, the ship route area influencing factors associated with the ship route prediction information in the distribution of the ship route area influencing factors are screened out according to the ship route prediction information, so as to obtain the target ship route area influencing factors.

[0091] In the above technical solution, when the target ship route area influence factor is used to correct the ship route prediction information fragment, the target ship route area influence factor is matched with the ship route prediction information fragment to obtain a matching result, and the target ship route area influence factor is used in turn according to the matching result to correct the ship route prediction information fragment.

[0092] The above technical solution corrects the ship route prediction information according to the ship route influencing factors so that the ship route prediction information is corrected according to the distribution of meteorology and hydrology, thereby reducing the error of the ship route prediction information and improving the accuracy of the ship route.

[0093] like Figure 4 As shown, in one embodiment provided by the present invention, ship speed prediction is performed based on ship route correction information, including:

[0094] C1. Segment processing is performed on the ship route correction information, and the ship route correction information is divided into multiple ship route segments;

[0095] C2. Determine the current speed of the ship based on the ship's AIS data information, and determine whether the ship has ship acceleration to obtain a determination result;

[0096] C3. When there is ship acceleration according to the judgment result, the ship acceleration is combined with the current speed of the ship to predict the speed of the ship route section, and the predicted speed of the ship route section is obtained;

[0097] C4. Correct the predicted speed of the ship route section by using the ship speed influence factor or the ship speed regional influence factor to obtain the predicted corrected speed of the ship route section.

[0098] In the above technical solution, when the ship route correction information is segmented, the segmentation is performed according to the distribution of the first correlation factor within the monitoring range. When the first correlation factor is uniformly distributed within the monitoring range, the ship route correction information is divided into multiple ship route segments of the same time length according to a preset time threshold. When the first correlation factor is inconsistently distributed within the monitoring range, the ship route correction information is divided according to the correlation between the distribution of the first correlation factor within the monitoring range and the ship route correction information, so as to obtain multiple ship route segments.

[0099] The above technical scheme performs speed prediction according to ship route segments through segmented processing, reduces the deviation of the overall speed prediction of the ship route, and makes the predicted ship speed more accurate. In addition, segmented processing is performed according to the distribution of the first correlation factor within the monitoring range, so that the ship route segment corresponds to the ship speed influencing factor or the ship speed regional influencing factor, which facilitates the correction of the ship speed influencing factor or the ship speed regional influencing factor for the predicted speed of the ship route segment, thereby improving the accuracy of the predicted corrected speed of the ship route segment.

[0100] In one embodiment provided by the present invention, the ship prediction information is combined with the oil field area to perform boundary area monitoring and analysis, including: route monitoring and analysis and speed monitoring and analysis, wherein during the route monitoring and analysis, the route analysis is performed according to the ship route prediction information in the ship prediction information, and it is determined whether the ship has deviated, and a first monitoring and analysis result is obtained; during the speed monitoring and analysis, the speed analysis is performed according to the ship predicted speed in the ship prediction information, and it is determined whether the ship predicted speed exceeds the speed threshold, and a second monitoring and analysis result is obtained, and at the same time, the oil field area boundary is determined, and the current speed of the ship is obtained after the ship enters the oil field area boundary, and the current speed of the ship is compared with the ship predicted speed to obtain the speed deviation value, and the speed deviation value is used to determine whether the ship speed is abnormal, and a third monitoring and analysis result is obtained.

[0101] In the above technical solution, the ship prediction information includes: ship route prediction information and ship prediction speed.

[0102] In the above technical solution, the speed threshold is obtained by determining the safe sailing speed of the ship in advance based on the distribution and structure of the oil field area and other information.

[0103] The above technical solution can comprehensively and accurately grasp the situation of ship operations in the oil field area through boundary area monitoring and analysis, so as to timely discover potential dangers in ship operations, avoid the occurrence of safety accidents, and reduce safety hazards.

[0104] In an embodiment provided by the present invention, when a safety risk alarm is issued based on the monitoring and analysis results, different modes of safety risk alarm are adopted according to the monitoring and analysis results. When the first monitoring and analysis result is that the ship has deviated, the first safety risk alarm mode is adopted for safety risk alarm; when the second monitoring and analysis result is that the predicted speed of the ship exceeds the speed threshold, the second safety risk alarm mode is adopted for safety risk alarm; when the third monitoring and analysis result is that the ship speed is abnormal, the third safety risk alarm mode is adopted for safety risk alarm.

[0105] In the above technical solution, the first security risk warning mode, the second security risk warning mode and the third security risk warning mode have obvious distinguishing features.

[0106] The above technical solution adopts different safety risk warning modes to make different safety risk warnings according to different monitoring and analysis results, so that relevant personnel can directly identify the abnormal conditions of the ship according to the safety risk warnings, and then better adopt countermeasures.

[0107] like Figure 5 As shown, an embodiment of the present invention provides a boundary area monitoring system for ship operations, including: a range determination module, a first acquisition module, a second acquisition module, an information prediction module, a monitoring and analysis module, and a risk warning module;

[0108] The range determination module is used to determine the boundary area of ​​the oil field area and determine the monitoring range based on the boundary area;

[0109] The first acquisition module is used to use the AIS system to identify ships within the monitoring range and obtain ship AIS data information;

[0110] The second acquisition module is used to acquire meteorological and hydrological data information within the monitoring range;

[0111] The information prediction module is used to predict ship operations based on ship AIS data information and meteorological and hydrological data information to obtain ship prediction information;

[0112] The monitoring and analysis module is used to combine the ship prediction information with the oil field area to perform boundary area monitoring and analysis, determine whether there is a safety risk in the ship operation, and obtain monitoring and analysis results;

[0113] The risk warning module is used to issue security risk warnings based on monitoring and analysis results.

[0114] In the above technical solution, the scope determination module, the first acquisition module, the second acquisition module, the information prediction module, the monitoring and analysis module and the risk warning module are connected in sequence.

[0115] The above technical solution realizes comprehensive real-time monitoring of the oil field area, which can not only increase the vigilance of relevant personnel when the ship approaches the oil field area, so that the relevant personnel can respond quickly when potential danger occurs to prevent the occurrence of safety accidents, but also can comprehensively and accurately grasp the situation of ship operations in the oil field area, and timely issue safety risk warnings when there are safety risks in the ship operation, so as to timely adjust the ship's ship operations to avoid the occurrence of safety accidents and reduce safety hazards. The range determination module determines the monitoring range based on the boundary area, which can not only make the monitoring range include the oil field area, but also make the monitoring gap between the monitoring range and the boundary area of ​​the oil field area, so that the ship can be identified when it enters the monitoring range but does not enter the oil field area, so that there is sufficient time to adjust the ship operation when there is a safety risk between the ship operation and the oil field area, reducing the possibility of safety accidents and ensuring the safety of the ship and the oil field area. The information prediction module predicts ship operations based on the ship's AIS data information and meteorological and hydrological data information. When predicting ship operations, it not only takes into account the ship's current data information, but also combines the impact of meteorology and hydrology on ship operations, thereby improving the accuracy of ship prediction information, thereby providing a guarantee for the monitoring and analysis module to determine the monitoring and analysis results and reducing the error of monitoring in border areas.

[0116] Those skilled in the art should understand that the first and second in the present invention merely refer to different application stages.

[0117] Other embodiments of the present disclosure will be readily apparent to those skilled in the art after considering the specification and practicing the disclosure disclosed herein. This application is intended to cover any variations, uses, or adaptations of the present disclosure that follow the general principles of the present disclosure and include common knowledge or customary techniques in the art that are not disclosed in the present disclosure. The specification and examples are to be considered as exemplary only, and the true scope and spirit of the present disclosure are indicated by the following claims.

[0118] It should be understood that the present disclosure is not limited to the exact structures that have been described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.

Claims

1. A method for monitoring a boundary area of ​​a ship operation, characterized in that: include: Determine the boundary area of ​​the oil field area and determine the monitoring scope based on the boundary area; Use the AIS system to identify ships within the monitoring range and obtain ship AIS data information; Obtain meteorological and hydrological data information within the monitoring range; Ship operation forecast is carried out based on ship AIS data information and meteorological and hydrological data information to obtain ship forecast information; Combine ship prediction information with oilfield area to monitor and analyze border areas, determine whether there are safety risks in ship operations, and obtain monitoring and analysis results; Issue security risk alerts based on monitoring and analysis results.

2. The border area monitoring method according to claim 1, characterized in that: When the AIS system is used to identify a ship within the monitoring range, the monitoring range is monitored, and it is analyzed and determined whether a ship appears within the monitoring range to obtain a first analysis and judgment result. When a ship appears within the monitoring range according to the first analysis and judgment result, the AIS system is used to identify the ship that appears within the monitoring range, and an AIS message is obtained to obtain the ship's AIS data information. At the same time, a ship appearance reminder is determined for the ship that appears within the monitoring range, and a reminder is given according to the ship appearance reminder.

3. The border area monitoring method according to claim 1, characterized in that: Ship operation forecasts are made based on ship AIS data information and meteorological and hydrological data information, including: Analyze the impact of ship operations based on meteorological and hydrological data information to obtain ship operation impact factors; The ship route is predicted based on the ship AIS data information, and the ship operation influencing factors are used to correct the ship route prediction information to obtain the ship route correction information; The ship speed is predicted based on the ship route correction information to obtain the ship predicted speed.

4. The border area monitoring method according to claim 3, characterized in that: The ship operation influencing factors include: a ship speed influencing factor and a ship route influencing factor. When performing ship operation impact analysis based on meteorological and hydrological data information, the ship speed and ship route correlation analysis is performed on the meteorological and hydrological data respectively, and the first correlation factor and the second correlation factor are screened out; the distribution of the first correlation factor or the second correlation factor within the monitoring range is analyzed to determine whether the first correlation factor or the second correlation factor is distributed consistently within the monitoring range. When the first correlation factor or the second correlation factor is distributed consistently within the monitoring range, the ship attribute information is obtained, and historical impact information is obtained based on the first correlation factor or the second correlation factor combined with the ship attribute information, and the impact factor is determined based on the historical impact information to obtain the ship speed impact factor or the ship route impact factor; when the first correlation factor or the second correlation factor is distributed inconsistently within the monitoring range, regional division is performed according to the distribution of the first correlation factor or the second correlation factor within the monitoring range, and the factor feature analysis is performed in turn according to the regional division result according to the district bureau to obtain the regional factor feature, and then the regional factor feature is combined with the ship attribute information to obtain the historical impact information, and the impact factor is determined based on the historical impact information to obtain the ship speed regional impact factor or the ship route regional impact factor.

5. The border area monitoring method according to claim 3, characterized in that: Route prediction based on ship AIS data information, including: Retrieve ship voyage data based on ship AIS data information and obtain the ship's destination; Obtain historical ship AIS data information for the ship to obtain historical ship AIS data information; According to the historical information of ship AIS data and the current ship AIS data information, the ship dynamic data is acquired to obtain a ship dynamic data information set; Analyze the change gradient of the ships in the ship dynamic data information set, and predict the ship dynamic data information according to the change gradient to obtain ship dynamic prediction data information; The ship's dynamic prediction data information is combined with the ship's destination to perform route simulation and obtain ship route prediction information.

6. The border area monitoring method according to claim 4, characterized in that: When the ship operation influencing factor is used to correct the ship route prediction information, the ship route prediction information is corrected according to the ship route influencing factor, and the ship route prediction information is processed according to the type of the ship route influencing factor. When the type of the ship route influencing factor is the ship route area influencing factor, the effective data of the ship route area influencing factor is screened according to the distribution of the ship route area influencing factor and the ship route prediction information to obtain the target ship route area influencing factor, and the ship route prediction information is segmented according to the distribution of the target ship route area influencing factor to obtain the ship route prediction information fragments, and then the target ship route area influencing factor is used to correct the ship route prediction information fragments to obtain the ship route correction information; when the type of the ship route influencing factor is the ship route influencing factor, the ship route prediction information is directly corrected using the ship route influencing factor to obtain the ship route correction information.

7. The border area monitoring method according to claim 4, characterized in that: Ship speed prediction based on ship course correction information, including: Segment processing is performed on the ship route correction information, and the ship route correction information is divided into multiple ship route segments; Determine the current speed of the ship according to the ship's AIS data information, and judge whether the ship has ship acceleration to obtain the judgment result; According to the judgment result, when there is ship acceleration, the ship acceleration is combined with the current speed of the ship to predict the speed of the ship route section, and the predicted speed of the ship route section is obtained; The ship speed influencing factor or the ship speed regional influencing factor is used to correct the predicted speed of the ship route section to obtain the predicted corrected speed of the ship route section.

8. The border area monitoring method according to claim 1, characterized in that: The ship prediction information is combined with the oil field area to carry out boundary area monitoring and analysis, including: route monitoring and analysis and speed monitoring and analysis. During the route monitoring and analysis, the route analysis is carried out according to the ship route prediction information in the ship prediction information to determine whether the ship has deviated and obtain a first monitoring and analysis result; during the speed monitoring and analysis, the speed analysis is carried out according to the ship prediction speed in the ship prediction information to determine whether the ship prediction speed exceeds the speed threshold and obtain a second monitoring and analysis result. At the same time, the oil field area boundary is determined, and the current speed of the ship is obtained after the ship enters the oil field area boundary, and the current speed of the ship is compared with the ship prediction speed to obtain the speed deviation value, and the speed deviation value is used to determine whether the ship speed is abnormal to obtain a third monitoring and analysis result.

9. The border area monitoring method according to claim 8, characterized in that: When issuing a safety risk warning based on the monitoring and analysis results, different modes of safety risk warning are adopted according to the monitoring and analysis results. When the first monitoring and analysis result is that the ship has deviated, the first safety risk warning mode is adopted for safety risk warning; When the second monitoring and analysis result shows that the predicted speed of the ship exceeds the speed threshold, the second safety risk warning mode is used to issue a safety risk warning; When the third monitoring and analysis result shows that the ship speed is abnormal, the third safety risk warning mode is used to issue a safety risk warning.

10. A border area monitoring system for ship operations, characterized in that: include: Scope determination module, first acquisition module, second acquisition module, information prediction module, monitoring and analysis module and risk warning module; The range determination module is used to determine the boundary area of ​​the oil field area and determine the monitoring range based on the boundary area; The first acquisition module is used to use the AIS system to identify ships within the monitoring range and obtain ship AIS data information; The second acquisition module is used to acquire meteorological and hydrological data information within the monitoring range; The information prediction module is used to predict ship operations based on ship AIS data information and meteorological and hydrological data information to obtain ship prediction information; The monitoring and analysis module is used to combine the ship prediction information with the oil field area to perform boundary area monitoring and analysis, determine whether there is a safety risk in the ship operation, and obtain monitoring and analysis results; The risk warning module is used to issue security risk warnings based on monitoring and analysis results.

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