Ship control management method and system based on intelligent analysis

Abstract

The invention relates to the technical field of ship intelligent management, and provides a ship control management method and system based on intelligent analysis, and the method comprises the steps: S1, deploying designated equipment, including data collection equipment, in a divided region of a ship, so as to monitor the operation environment of the ship and the behaviors of sailors in real time, and collect corresponding ship data; s2, the ship control terminal and the ship equipment realize cooperative work to receive ship data, carry out data two-way transmission with a shore command center or surrounding ships, receive and send an instruction and carry out remote monitoring; and S3, the ship control terminal receives and analyzes the ship data, identifies a safety warning in real time, evaluates an operation risk and generates a corresponding response measure. The problems that an existing ship management system is low in data exchange speed and limited in risk prediction and automatic response capacity are solved, the automation level of ship operation and the accuracy of real-time risk assessment are remarkably improved, and the safety and efficiency of ship operation are effectively enhanced.

Description

Technical Field

[0001] The present invention relates to the technical field of ship intelligent management, and in particular to a ship control management method and system based on intelligent analysis. Background Art

[0002] Existing ship control and management systems mainly integrate basic automation functions and rely on traditional communication and navigation equipment such as GPS and radar for operation. The main limitations of these systems are incomplete communication coverage and low data exchange speed, especially in the case of ocean-going operations, they cannot maintain real-time communication with the outside world. At the same time, the existing systems have limited capabilities in risk prediction and automated response, requiring more manual intervention.

[0003] In order to improve the safety and efficiency of ship operations, it is necessary to develop a ship control management system based on intelligent analysis. Satellite communications and 5G technologies are used to ensure high-speed communications around the world, while big data and artificial intelligence technologies are combined to optimize risk control management, achieve highly automated ship operations and real-time risk assessment, and significantly improve the speed and accuracy of emergency response. Summary of the invention

[0004] In view of the above problems, the purpose of the present invention is to provide a ship control management method and system based on intelligent analysis, which solves the problems of low data exchange speed and limited risk prediction and automatic response capabilities of existing ship management systems. The system uses big data and artificial intelligence technology to significantly improve the automation level of ship operations and the accuracy of real-time risk assessment, effectively enhancing the safety and efficiency of ship operations.

[0005] The present invention provides a ship control management method based on intelligent analysis, comprising: Step S1: deploy designated equipment, including data acquisition equipment, in the divided areas of the ship to monitor the ship's operating environment and crew behavior in real time and collect corresponding ship data; Step S2: The ship control terminal cooperates with the shipboard equipment to receive ship data, and at the same time transmits data bidirectionally with the shore command center or surrounding ships, receives and issues commands, and performs remote monitoring; Step S3: The ship control terminal receives and analyzes the ship data, identifies safety warnings in real time, assesses operational risks and generates corresponding response measures; at the same time, the ship control terminal feeds back the ship data and risk management results to the onshore command center or surrounding ships to maintain real-time communication and efficient decision support.

[0006] Furthermore, in step S1, the divided areas include the foremast area, the cockpit area, the work area, the living area and the cabin area; the data acquisition equipment includes meteorological and hydrological acquisition equipment, navigation equipment, sub-equipment systems, several cameras and sensors.

[0007] Furthermore, in step S2, the ship data includes meteorological and hydrological data, navigation data, equipment performance status data, monitoring data and crew activity data, wherein the meteorological and hydrological data include wind speed, wind direction, temperature, humidity, ocean current and tide information, which are collected by the meteorological and hydrological collection equipment in the foremast area; the navigation data include position, speed and heading, which are collected by the navigation equipment; the equipment performance status data include engine performance parameters, fuel consumption and the working status of mechanical parts, which are obtained by the sub-equipment system; the monitoring data and crew activity data are collected by a number of cameras and sensors.

[0008] Furthermore, in step S3, the ship control terminal receives and analyzes the ship data, identifies safety warnings in real time, assesses operational risks, and generates corresponding response measures, including: Step S31: collect ship data in real time and perform data preprocessing, and set monitoring targets according to preset conditions; Step S32: Analyze the monitoring target data according to the risk identification model to identify risk points and abnormal patterns in the monitoring target; Step S33: automatically generating corresponding response measures according to the impact of the risk points of the risk assessment model on the ship; Step S34: The control terminal sends the response measures to the terminal device in the ship through internal communication and / or external communication to the onshore command center or surrounding ships.

[0009] Further, step S32 includes: Step S321: construct an accident tree model to determine the risk points that lead to ship accidents, where the risk points include primary factors and secondary factors; Step S322: Based on historical data and real-time parameters, a Bayesian network model is established to associate risk points with potential risks and evaluate the risk level under the current operating state through conditional probability calculation; Step S323: Using the evaluation results in step S322 as input, cluster analysis methods and anomaly detection algorithms are applied to identify abnormal patterns from the ship behavior data.

[0010] Further, step S33 includes: Based on tests in different environments, the behavior of ships under different environmental conditions is simulated through simulation modeling to determine the affected risk indicators and corresponding response measures; Assess long-term and short-term impact risk indicators and response measures based on historical incident data and current operating environment Analyze the ship's operational data in real time and deploy machine learning algorithms including decision trees, support vector machines or neural networks to identify potential risk indicators and corresponding response measures.

[0011] Based on the same inventive concept, the present invention also provides a ship communication management system based on intelligent analysis, which is applied to the above-mentioned ship control management method, including: The equipment deployment and collection module is used to deploy designated equipment in the divided areas of the ship, including data collection equipment, to monitor the ship's operating environment and crew behavior in real time and collect corresponding ship data; Data analysis module, used for the ship control terminal to work with onboard equipment to receive ship data, and to transmit data bidirectionally with the onshore command center or surrounding ships, receive and issue commands, and conduct remote monitoring; The risk control module is used in the ship control terminal to receive and analyze ship data, identify safety warnings in real time, assess operational risks and generate corresponding response measures; at the same time, the ship control terminal feeds back ship data and risk management results to the onshore command center or surrounding ships to maintain real-time communication and efficient decision-making support.

[0012] Furthermore, in the equipment deployment and collection module, the divided areas include the foremast area, the cockpit area, the working area area, the living area and the cabin area; the data collection equipment includes meteorological and hydrological collection equipment, navigation equipment, sub-equipment systems, several cameras and sensors.

[0013] Furthermore, in the data analysis module, the ship data includes meteorological and hydrological data, navigation data, equipment performance status data, monitoring data and crew activity data, among which the meteorological and hydrological data include wind speed, wind direction, temperature, humidity, ocean current and tide information, which are collected by the meteorological and hydrological collection equipment in the foremast area; the navigation data include position, speed and heading, which are collected by the navigation equipment; the equipment performance status data include engine performance parameters, fuel consumption and the working status of mechanical parts, which are obtained from the sub-equipment system; the monitoring data and crew activity data are collected by several cameras and sensors.

[0014] Furthermore, the risk control module includes: A monitoring target setting unit is used to collect ship data in real time and perform data preprocessing, and set monitoring targets according to preset conditions; A risk analysis unit is used to analyze the monitoring target data according to the risk identification model to identify risk points and abnormal patterns in the monitoring target; The risk assessment unit is used to automatically generate corresponding response measures based on the impact of risk points in the risk assessment model on the ship; The communication management unit is used to control the terminal to send the response measures to the terminal equipment in the ship through internal communication and / or external communication to the onshore command center or surrounding ships.

[0015] Compared with the prior art, the present invention has at least one of the following beneficial effects: (1) By deploying high-precision data acquisition equipment in key areas of the ship, the system can monitor the environment and crew behavior in real time, improving the efficiency and accuracy of data collection. This helps to grasp the ship's operating status and environmental changes in real time to ensure safe navigation. By integrating the accident tree and Bayesian network model, the system can conduct in-depth analysis of risk factors and accurately assess the current risk level. In addition, combined with machine learning technology, the system can automatically identify potential risk points and abnormal patterns from large amounts of data, improving the accuracy of risk prediction and response speed. (3) The system automatically generates specific response measures based on the analysis results. These measures are transmitted to relevant ship control equipment and onshore command centers in real time through internal and external communication networks, enhancing the efficiency of emergency management and accident handling. At the same time, the real-time data analysis and risk assessment results provided by the system can effectively support ship managers and crew members to make more accurate and faster decisions, improving the scientificity and rationality of management and operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 The present invention is a flow chart of the steps of the ship control management method based on intelligent analysis. DETAILED DESCRIPTION

[0017] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0018] Those skilled in the art will appreciate that, unless otherwise stated, the singular forms "a", "an", "said" and "the" used herein may also include plural forms. It should be further understood that the term "comprising" used in the specification of the present invention refers to the presence of the features, integers, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or groups thereof.

[0019] First embodiment like Figure 1 As shown, this embodiment provides a ship control management method based on intelligent analysis; comprising: Step S1: deploy designated equipment, including data acquisition equipment, in the divided areas of the ship to monitor the ship's operating environment and crew behavior in real time and collect corresponding ship data; Step S2: The ship control terminal cooperates with the shipboard equipment to receive ship data, and at the same time transmits data bidirectionally with the shore command center or surrounding ships, receives and issues commands, and performs remote monitoring; Step S3: The ship control terminal receives and analyzes the ship data, identifies safety warnings in real time, assesses operational risks and generates corresponding response measures; at the same time, the ship control terminal feeds back the ship data and risk management results to the onshore command center or surrounding ships to maintain real-time communication and efficient decision support.

[0020] It should be specifically explained that the satellite broadband communication network in the present invention is recommended to use KU band satellite resource leasing transponders according to the ship type and the sea range requirements. The KU band transponder covers the Asia-Pacific 6D with a coverage range of 134E; the Asia-Pacific 9 satellite with a coverage range of 142E is equipped with 14 Ku band transponders.

[0021] Furthermore, in step S1, the divided areas include the foremast area, cockpit area, operation area, living area and engine room area; the data acquisition equipment includes meteorological and hydrological acquisition equipment, navigation equipment, sub-equipment system, several cameras and sensors, etc. It is mainly through the installation of meteorological and hydrological acquisition, cameras, edge gateways, AIS and other production data acquisition equipment at different locations such as the foremast, cockpit, and operation area of ​​large and medium-sized ships to achieve real-time hydrological and meteorological information monitoring, unmanned driving identification, and intelligent management and control of personnel behavior identification. The specific layout strategy is: 1. Foremast area: Meteorological and hydrological data collection equipment: installed on the mast at the front of the ship or in the vicinity to obtain accurate marine environmental data. These devices usually include wind speed and direction instruments, temperature and humidity sensors, etc., which transmit data to the ship's control system via wired or wireless means.

[0022] High-definition cameras: Installed on or around the mast to monitor the channel ahead and the surrounding environment. These cameras should have night vision and long-range zoom capabilities to provide clear monitoring in complex environments.

[0023] 2. Cockpit area: Edge Gateway: As a data processing center, the edge gateway should be installed in the cockpit or nearby areas to quickly collect and process data from various terminals. These data include meteorological data, image information, equipment status, etc., which are forwarded to the ship's control system or remote monitoring center after preliminary processing.

[0024] AIS equipment: Installed in the cockpit or on the top platform to communicate with surrounding ships and shore-based systems. AIS equipment automatically broadcasts the ship's position, speed, heading and other information through the VHF band to ensure navigation safety.

[0025] Navigation and automatic control system: Navigation and automatic control systems that integrate electronic charts, radar, GPS and other equipment should be installed in the cockpit for real-time monitoring and operation by the crew. These systems should have intelligent navigation and collision avoidance functions to improve the navigation safety of the ship.

[0026] 3. Operation area: Monitoring cameras and sensors: Depending on the type of operation, monitoring cameras and sensors are installed in key areas such as cargo loading and unloading areas and engine rooms. These devices are used to monitor the operation status and equipment health, and to detect and address potential problems in a timely manner.

[0027] Emergency communication equipment: Emergency communication equipment such as walkie-talkies, emergency telephones, etc. are installed in the operating area to quickly contact the crew and management in an emergency.

[0028] 4. Other areas: Living area: Necessary communication equipment and entertainment facilities, such as satellite phones, wireless networks, televisions, etc., are installed in the crew's living area to improve the crew's quality of life and work efficiency.

[0029] Engine room area: Install surveillance cameras and sensors in the engine room to monitor the operating status and temperature of mechanical equipment. At the same time, set up an alarm system to promptly issue an alarm and notify relevant personnel to handle the problem when equipment fails.

[0030] Furthermore, in step S2, the ship data includes meteorological and hydrological data, navigation data, equipment performance status data, monitoring data and crew activity data, wherein the meteorological and hydrological data include wind speed, wind direction, temperature, humidity, ocean current and tide information, which are collected by the meteorological and hydrological collection equipment in the foremast area; the navigation data include position, speed and heading, which are collected by the navigation equipment; the equipment performance status data include engine performance parameters, fuel consumption and the working status of mechanical parts, which are obtained by the sub-equipment system; the monitoring data and crew activity data are collected by a number of cameras and sensors.

[0031] Furthermore, in step S3, the ship control terminal receives and analyzes the ship data, identifies safety warnings in real time, assesses operational risks, and generates corresponding response measures, including: Step S31: collect ship data in real time and perform data preprocessing, and set monitoring targets according to preset conditions; Step S32: Analyze the monitoring target data according to the risk identification model to identify risk points and abnormal patterns in the monitoring target; Step S33: automatically generating corresponding response measures according to the impact of the risk points of the risk assessment model on the ship; Step S34: The control terminal sends the response measures to the terminal device in the ship through internal communication and / or external communication to the onshore command center or surrounding ships.

[0032] Communication protocol and system integration. When laying out various terminal devices, it is also necessary to consider the communication protocol and system integration issues between devices. By selecting appropriate communication protocols and interface standards, seamless connection and data sharing between devices can be achieved. At the same time, through system integration technology, each terminal device is integrated with the ship's control system to form a unified ship intelligent management system. This system can realize real-time monitoring and intelligent analysis of information such as ship navigation status, equipment status, environmental parameters, etc., providing strong support for the safe navigation and efficient operation of ships. Among them, ship communication protocols include: CAN bus protocol is an international standard and the most widely used and mature data exchange protocol in fieldbus. In the ship communication system, CAN bus protocol can connect the control system, navigation system, monitoring system, etc. to the bus to ensure the effective transmission of data between devices and realize the coordinated operation of equipment.

[0033] NMEA2000 protocol: This protocol is based on the CAN bus and establishes a device data exchange protocol in accordance with the OSI model. The application of NMEA2000 protocol in the ship communication system can meet the needs of multiple types of data exchange such as shipboard navigation, radar, sonar, etc.

[0034] TCP / IP protocol: As one of the core protocols in the Internet protocol suite, TCP / IP protocol is a universal, open, connection-oriented transmission protocol. It is suitable for data exchange between remote terminal equipment and local computers in ship communication systems, ensuring seamless connection between ships and the Internet.

[0035] Protocol selection and configuration, when selecting and using ship communication protocols, it is necessary to select and configure according to specific application scenarios and requirements. For example, for data transmission scenarios that require high reliability and real-time performance, you can choose CAN bus protocol or NMEA2000 protocol; for scenarios that require remote access and Internet connection, you can choose TCP / IP protocol.

[0036] Finally, it refers to the process of connecting various communication equipment, navigation equipment, control systems, etc. on the ship in a certain way to form an organic whole. Its goal is to achieve information sharing and collaborative work among various equipment inside the ship, and improve the navigation safety, operational efficiency and management level of the ship. Further, step S32 includes: Step S321: construct an accident tree model to determine the risk points that lead to ship accidents, where the risk points include primary factors and secondary factors; Step S322: Based on historical data and real-time parameters, a Bayesian network model is established to associate risk points with potential risks and evaluate the risk level under the current operating state through conditional probability calculation; Step S323: Using the evaluation results in step S322 as input, cluster analysis methods and anomaly detection algorithms are applied to identify abnormal patterns from the ship behavior data.

[0037] Further, step S33 includes: Based on tests in different environments, the behavior of ships under different environmental conditions is simulated through simulation modeling to determine the affected risk indicators and corresponding response measures; Assess long-term and short-term impact risk indicators and response measures based on historical incident data and current operating environment Analyze the ship's operational data in real time and deploy machine learning algorithms including decision trees, support vector machines or neural networks to identify potential risk indicators and corresponding response measures.

[0038] Based on the same inventive concept, the present invention also provides a ship communication management system based on intelligent analysis, which is applied to the above-mentioned ship control management method, including: The equipment deployment and collection module is used to deploy designated equipment in the divided areas of the ship, including data collection equipment, to monitor the ship's operating environment and crew behavior in real time and collect corresponding ship data; Data analysis module, used for the ship control terminal to work with onboard equipment to receive ship data, and to transmit data bidirectionally with the onshore command center or surrounding ships, receive and issue commands, and conduct remote monitoring; The risk control module is used in the ship control terminal to receive and analyze ship data, identify safety warnings in real time, assess operational risks and generate corresponding response measures; at the same time, the ship control terminal feeds back ship data and risk management results to the onshore command center or surrounding ships to maintain real-time communication and efficient decision-making support.

[0039] Furthermore, in the equipment deployment and collection module, the divided areas include the foremast area, the cockpit area, the working area area, the living area and the cabin area; the data collection equipment includes meteorological and hydrological collection equipment, navigation equipment, sub-equipment systems, several cameras and sensors.

[0040] Furthermore, in the data analysis module, the ship data includes meteorological and hydrological data, navigation data, equipment performance status data, monitoring data and crew activity data, among which the meteorological and hydrological data include wind speed, wind direction, temperature, humidity, ocean current and tide information, which are collected by the meteorological and hydrological collection equipment in the foremast area; the navigation data include position, speed and heading, which are collected by the navigation equipment; the equipment performance status data include engine performance parameters, fuel consumption and the working status of mechanical parts, which are obtained from the sub-equipment system; the monitoring data and crew activity data are collected by several cameras and sensors.

[0041] Furthermore, the risk control module includes: A monitoring target setting unit is used to collect ship data in real time and perform data preprocessing, and set monitoring targets according to preset conditions; A risk analysis unit is used to analyze the monitoring target data according to the risk identification model to identify risk points and abnormal patterns in the monitoring target; The risk assessment unit is used to automatically generate corresponding response measures based on the impact of risk points in the risk assessment model on the ship; The communication management unit is used to control the terminal to send the response measures to the terminal equipment in the ship through internal communication and / or external communication to the onshore command center or surrounding ships.

[0042] The above is only a preferred embodiment of the present invention, and the protection scope of the present invention is not limited to the above embodiments. All technical solutions under the concept of the present invention belong to the protection scope of the present invention. It should be pointed out that for ordinary technicians in this technical field, some improvements and modifications without departing from the principle of the present invention should also be regarded as the protection scope of the present invention.

[0043] It should be noted that the above embodiments can be freely combined as needed. The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principle of the present invention, and these improvements and modifications should also be considered as the protection scope of the present invention.

Claims

1. A ship control management method based on intelligent analysis, characterized in that: include: Step S1: deploy designated equipment, including data acquisition equipment, in the divided areas of the ship to monitor the ship's operating environment and crew behavior in real time and collect corresponding ship data; Step S2: The ship control terminal cooperates with the shipboard equipment to receive the ship data, and at the same time transmits data bidirectionally with the shore command center or surrounding ships, receives and issues commands, and performs remote monitoring; Step S3: The ship control terminal receives and analyzes the ship data, identifies safety warnings in real time, assesses operational risks and generates corresponding response measures; at the same time, the ship control terminal feeds back the ship data and risk management results to the onshore command center or surrounding ships to maintain real-time communication and efficient decision support.

2. The ship control management method according to claim 1, characterized in that: In step S1, the divided areas include the foremast area, the cockpit area, the work area, the living area and the cabin area; the data acquisition equipment includes meteorological and hydrological acquisition equipment, navigation equipment, sub-equipment systems, several cameras and sensors.

3. The ship control management method according to claim 2, characterized in that: In step S2, the ship data includes meteorological and hydrological data, navigation data, equipment performance status data, monitoring data and crew activity data, wherein the meteorological and hydrological data include wind speed, wind direction, temperature, humidity, ocean current and tide information, which are collected by the meteorological and hydrological collection equipment in the foremast area; the navigation data include position, speed and heading, which are collected by the navigation equipment; the equipment performance status data include engine performance parameters, fuel consumption and the working status of mechanical parts, which are obtained from the sub-equipment system; the monitoring data and the crew activity data are collected by a plurality of the cameras and the sensors.

4. The ship control management method according to claim 3 is characterized in that: In step S3, the ship control terminal receives and analyzes the ship data, identifies safety warnings in real time, assesses operational risks and generates corresponding response measures, including: Step S31: collecting the ship data in real time and performing data preprocessing, and setting monitoring targets according to preset conditions; Step S32: Analyze the monitoring target data according to the risk identification model to identify risk points and abnormal patterns in the monitoring target; Step S33: automatically generating corresponding response measures according to the impact of the risk points in the risk assessment model on the ship; Step S34: the control terminal sends the response measures to the terminal device in the ship through internal communication and / or external communication to the onshore command center or the surrounding ships.

5. The ship control management method according to claim 4 is characterized in that: The step S32 comprises: Step S321: construct an accident tree model to determine the risk points that lead to ship accidents, wherein the risk points include primary factors and secondary factors; Step S322: Based on historical data and real-time parameters, a Bayesian network model is established to associate the risk points with potential risks and evaluate the risk level under the current operating state through conditional probability calculation; Step S323: Taking the evaluation result in step S322 as input, a cluster analysis method and anomaly detection algorithm are applied to identify the abnormal pattern from the ship behavior data.

6. The ship control management method according to claim 5, characterized in that: The step S33 comprises: Based on the tests under different environments, the behavior of the ship under the different environmental conditions is simulated by the simulation model method to determine the affected risk indicators and the corresponding response measures; Assess the impacted risk indicators and response measures in the long and short term based on historical incident data and the current operating environment Analyze the ship's operational data in real time, deploy machine learning algorithms including decision trees, support vector machines or neural networks, and identify potential risk indicators and corresponding response measures.

7. A ship communication management system based on intelligent analysis, applied to the ship control management method according to any one of claims 1 to 6, characterized in that: include; The equipment deployment and collection module is used to deploy designated equipment in the divided areas of the ship, including data collection equipment, to monitor the ship's operating environment and crew behavior in real time and collect corresponding ship data; The data analysis module is used for the ship control terminal to work in coordination with the shipboard equipment to receive the ship data, and at the same time to transmit data bidirectionally with the shore command center or surrounding ships, receive and issue commands, and conduct remote monitoring; The risk control module is used for the ship control terminal to receive and analyze the ship data, identify safety warnings in real time, evaluate operational risks and generate corresponding response measures; at the same time, the ship control terminal feeds back the ship data and risk management results to the onshore command center or surrounding ships to maintain real-time communication and efficient decision support.

8. The ship communication management system according to claim 7, characterized in that: In the equipment deployment and collection module, the divided areas include the foremast area, the cockpit area, the work area, the living area and the cabin area; the data collection equipment includes meteorological and hydrological collection equipment, navigation equipment, sub-equipment systems, several cameras and sensors.

9. The ship communication management system according to claim 8, characterized in that: In the data analysis module, the ship data includes meteorological and hydrological data, navigation data, equipment performance status data, monitoring data and crew activity data, wherein the meteorological and hydrological data include wind speed, wind direction, temperature, humidity, ocean current and tide information, which are collected by the meteorological and hydrological collection equipment in the foremast area; the navigation data include position, speed and heading, which are collected by the navigation equipment; the equipment performance status data include engine performance parameters, fuel consumption and the working status of mechanical parts, which are obtained from the sub-equipment system; the monitoring data and the crew activity data are collected by a plurality of the cameras and the sensors.

10. The ship communication management system according to claim 8, characterized in that: The risk control module includes: A monitoring target setting unit, used to collect the ship data in real time and perform data preprocessing, and set monitoring targets according to preset conditions; A risk analysis unit, configured to analyze the monitoring target data according to a risk identification model to identify risk points and abnormal patterns in the monitoring target; A risk assessment unit, configured to automatically generate corresponding response measures according to the impact of the risk points described in the risk assessment model on the ship; The communication management unit is used for the control terminal to send the response measures to the terminal equipment in the ship through internal communication and / or external communication to the onshore command center or the surrounding ships.

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