Non-open water area management and control method

Abstract

The invention relates to a non-open water area management and control method, which comprises the following steps of: after a ship drives into an early warning area, judging whether the ship is a foreign ship and whether the navigational speed reaches a set threshold, if the conditions are met, monitoring the ship in real time, and when a certain retention time length is reached in the early warning area and the displacement distance is smaller than the maximum retention range, stopping monitoring the ship. If yes, early warning is carried out. According to the invention, the dynamic real-time monitoring and analysis of the ship can be realized, and potential illegal behaviors and potential safety hazards can be identified in time, so that law-enforcement departments can be helped to quickly make responses and process decisions.

Description

Technical Field

[0001] The invention belongs to the technical field of water area management and control, and relates to a non-open water area management and control method. Background Art

[0002] In the field of water area control, the control of large-scale ship data streams involves the following technologies:

[0003] Real-time data processing technology: This technology is designed to process and analyze large amounts of ship data streams, covering dynamic parameters such as ship location information, speed, and heading. Commonly used technologies include stream processing frameworks (such as Apache Kafka, Apache Flink, etc.) and real-time databases (such as InfluxDB, TimescaleDB).

[0004] Internet of Things (IoT) technology: Through IoT technology, ships can collect data in real time with the help of various sensors while sailing. These sensors can monitor the status of the ship, environmental parameters and other information, and realize real-time and comprehensive data collection.

[0005] Data mining and analysis technology: Use machine learning and data mining techniques to extract valuable information from ship data. These technologies can help identify patterns, abnormal behaviors or trends, and provide strong support for early warning systems.

[0006] Geographic Information System (GIS) technology: GIS technology is used to visualize and analyze the geographical location and path of ships to achieve spatial analysis and management of waters. This is particularly important in track estimation, collision risk assessment, etc.

[0007] Advanced early warning algorithms: Based on historical data and real-time data, develop advanced early warning algorithms (such as dynamic time planning, anomaly detection algorithms, etc.) to improve the accuracy and timeliness of early warnings.

[0008] Network and communication technology: Establish a stable communication link between the ship and the shore to ensure the reliability and timeliness of real-time data transmission.

[0009] System integration and platform technology: Integrate multiple technologies and modules into a unified platform to achieve coordinated work of different data sources and tools and provide comprehensive monitoring and management capabilities.

[0010] The above technologies together form the basis of modern ship early warning systems, providing technical support for effective monitoring and management of ship activities in complex water environments. Summary of the invention

[0011] The purpose of the present invention is to comprehensively adopt the above-mentioned technologies to provide a non-open water management method to provide strong support for the law enforcement activities of relevant departments, so as to improve efficiency and accuracy in ship management and water monitoring.

[0012] The technical solution of the present invention is as follows:

[0013] A non-open water area management method, characterized in that it comprises the following steps:

[0014] (1) Determine the nationality of the ship: When a ship enters the warning area, the ship’s registration information is first analyzed to determine whether the ship is a foreign ship. If the ship is a foreign ship, its speed is further determined. If the speed reaches the set threshold, the ship is added to the supervision list:

[0015] (2) Real-time monitoring: A real-time monitoring mechanism is initiated for the vessels on the supervision list. During this stage, the vessel’s position, speed, heading and other data are continuously tracked for further analysis;

[0016] (3) Detention duration monitoring: During real-time monitoring, once a ship stays in the warning area, the timer starts, and the actual detention duration is continuously monitored and compared with the preset detention duration. If the detention duration reaches the preset value, the maximum detention range is further determined;

[0017] (4) Determine the maximum detention range: Calculate the displacement distance of the ship during the detention time. If the displacement distance of the ship is less than the set maximum detention range, it means that the ship's activities in the warning area are very limited and an early warning is required;

[0018] (5) Triggering an early warning: A detailed early warning message is generated and sent to relevant managers through system notifications; the early warning information will include the basic information of the ship, the area, the detention time, the displacement, and other possible risk indicators to help managers quickly assess and respond to potential risks.

[0019] The present invention can realize real-time monitoring and analysis of ship dynamics, timely identify potential violations and safety hazards, and thus help law enforcement departments to quickly respond and make decisions. At the same time, the present invention can also provide law enforcement personnel with detailed data reports and visualization tools, comprehensively improve the scientific nature and transparency of the law enforcement process, and enhance public trust. In addition, by optimizing resource allocation, the present invention can effectively reduce law enforcement costs, improve the overall effectiveness of water management, and ultimately promote water safety and the sustainable development of the shipping industry. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 is a flow chart for establishing a vessel supervision list;

[0021] Figure 2It is a flow chart for processing the information in the supervision list. DETAILED DESCRIPTION

[0022] The present invention first creates an early warning model, which is set according to multiple key conditions, including: early warning area (defining a specific geographical range to monitor ship dynamics), ship nationality (whether it is a foreign ship), maximum speed (determining whether the ship speed is abnormal), minimum speed, detention time (determining whether the ship stays in a certain area for too long), and maximum detention range (specific range of the detention area). These conditions together constitute a comprehensive early warning standard to ensure timely identification of possible risk ships.

[0023] After the early warning model is created, the data information required by the model is obtained based on the existing large-scale ship data flow control technology, including the following steps:

[0024] First, data collection is carried out. The front-end site continuously collects real-time ship data and pushes this information to Kafka through the data collection module, thus building an efficient message transmission mechanism. Data is stored in the form of messages and can be pulled and analyzed by the real-time processing module at any time to ensure the timeliness and stability of data transmission.

[0025] Next, based on Spark Streaming, we pull data streams from Kafka and perform various processing on real-time streaming data, including:

[0026] Data parsing: interpret the received raw ship data and convert it into a structured format. During the parsing process, ensure that important information such as ship name, position, speed, and heading are extracted to facilitate subsequent analysis.

[0027] Data cleaning: Focus on removing redundant, erroneous and incomplete records, and standardize the data format to ensure that subsequent data processing is both efficient and accurate.

[0028] Data push: Push the cleaned data to the early warning model module for further logical judgment.

[0029] The early warning model analyzes and processes each ship data according to the previously set early warning conditions. The specific method includes the following steps:

[0030] (1) Determine the nationality of the ship: Figure 1 As shown in the figure, after a ship enters the warning area, the ship's registration information is first analyzed to determine whether the ship is a foreign ship. If the ship is a foreign ship, its speed is further determined. If the speed reaches the set threshold, the ship is added to the supervision list:

[0031] (2) Real-time monitoring: Figure 2As shown, a real-time monitoring mechanism is started for the ships on the supervision list. At this stage, the position, speed and heading of the ships are continuously tracked for further analysis;

[0032] (3) Detention duration monitoring: During real-time monitoring, once a ship stays in the warning area, the timer starts, and the actual detention duration is continuously monitored and compared with the preset detention duration. If the detention duration reaches the preset value, the maximum detention range is further determined;

[0033] (4) Determine the maximum detention range: Calculate the displacement distance of the ship during the detention time. If the displacement distance of the ship is less than the set maximum detention range, it means that the ship's activities in the warning area are very limited and need to be paid attention to; if it is greater than the set maximum detention range, the warning mechanism is triggered;

[0034] (5) Triggering an early warning: A detailed early warning message is generated and sent to relevant managers through system notifications; the early warning information will include the basic information of the ship, the area, the detention time, the displacement, and other possible risk indicators to help managers quickly assess and respond to potential risks.

Claims

1. A non-open water area management method, characterized in that: The following steps are involved: (1) Determine the nationality of the ship: When a ship enters the warning area, the ship’s registration information is first analyzed to determine whether the ship is a foreign ship. If the ship is a foreign ship, its speed is further determined. If the speed reaches the set threshold, the ship is added to the supervision list: (2) Real-time monitoring: A real-time monitoring mechanism is initiated for the vessels on the supervision list. During this stage, the vessel’s position, speed, heading and other data are continuously tracked for further analysis; (3) Detention duration monitoring: During real-time monitoring, once a ship stays in the warning area, the timer starts, and the actual detention duration is continuously monitored and compared with the preset detention duration. If the detention duration reaches the preset value, the maximum detention range is further determined; (4) Determine the maximum detention range: Calculate the displacement distance of the ship during the detention time. If the displacement distance of the ship is less than the set maximum detention range, it means that the ship's activities in the warning area are very limited and an early warning is required; (5) Triggering an early warning: A detailed early warning message is generated and sent to relevant managers through system notifications; the early warning information will include the basic information of the ship, the area, the detention time, the displacement, and other possible risk indicators to help managers quickly assess and respond to potential risks.

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