A non-contact law enforcement inspection method for near and far seas based on multi-source data fusion of fishing vessels

Abstract

The present invention discloses a method for contactless law enforcement inspections in near and far seas based on multi-source data fusion of fishing vessels. The method comprises the following steps: first, an initialization phase to define an innovative algorithm for this service; second, a phase of discovering and identifying fishing vessels through AIS equipment to obtain basic information about the fishing vessels; third, intelligent analysis and judgment based on the obtained basic information; and finally, combining hierarchical classification warning rules with data processing in the intelligent analysis phase to generate warning information for the fishing vessels and generate warning processing. The present invention combines AIS to implement multi-source data fusion analysis, and performs a series of intelligent algorithm fusion and analysis to generate warning signals for fishing vessels, achieving the goal of obtaining fishing vessel information without boarding the vessel, realizing contactless law enforcement inspections of near and far sea fishing vessels, and thereby improving the accuracy, safety, and efficiency of maritime law enforcement.

Description

Technical Field

[0001] The present invention relates to the field of radio communication technology, and more specifically to a near-sea and far-sea contactless law enforcement inspection method based on multi-source data fusion of fishing vessels. Background Art

[0002] Fishery administration vessels refer to ships that perform fishery administration tasks in exclusive fishery waters. They are mainly used to patrol fishing grounds and supervise and inspect fishing vessels' implementation of national fishery laws and regulations, protect the aquatic environment, stop overfishing and illegal discharge of oil, waste and other harmful substances, maintain the production order of fishing vessels, and handle fishery production disputes. They are also used to supervise and inspect the implementation of international fishery agreements and safeguard the country's fishery rights and interests.

[0003] During law enforcement inspections, fishery vessels must wirelessly connect to law enforcement terminals on land for data transmission. The transmitted vessel position data is correlated and analyzed with the law enforcement terminal's system data. The law enforcement terminal verifies the legitimacy of the fishing vessel's certificates, the legality of its operation type and area, any violations, and compliance with production management requirements. If a fishing vessel travels beyond a certain distance from the coast, data transmission becomes impossible. Maritime law enforcement officers must board the vessel to verify the vessel's information, or data transmission can only be performed if the wireless device is near a base station on the coastline. Furthermore, law enforcement vessels cannot integrate and analyze the vessel's archival information in a timely manner while at sea. Active queries and manual verification are the only options, preventing online monitoring, dynamic identification, and intelligent analysis of the vessel's trajectory. Summary of the Invention

[0004] The technical problem to be solved by the present invention is to provide a near-sea and far-sea contactless law enforcement inspection method based on multi-source data fusion of fishing vessels, so as to realize non-contact law enforcement inspection of near-sea and far-sea fishing vessels and improve the accuracy, safety and efficiency of maritime law enforcement.

[0005] In order to solve the above technical problems, the technical solutions adopted by the present invention are as follows.

[0006] A non-contact law enforcement inspection method for near and far seas based on multi-source data fusion of fishing vessels includes the following steps:

[0007] A. Initialization phase: This includes binding the AIS of law enforcement vessels and setting up classification and warning rules, as well as defining innovative algorithms for this service.

[0008] B. Discovery and identification of fishing vessels:

[0009] By obtaining AIS information of surrounding fishing vessels to display the distribution of fishing vessels, the system receives the position information of fishing vessels and displays the distribution of fishing vessels; then parses the fishing vessel position data according to AIS standards; queries the basic information of fishing vessels based on the nine-digit code and fishing vessel code in the identified AIS information; determines whether the nine-digit code can be used to query other fishing vessels, and if so, issues a nine-digit code duplication warning; finally, queries the historical position information of the nine-digit code to determine whether the position has been reported in the same area for a long time and the heading is the same. If so, an early warning of suspected dismantling will be issued;

[0010] C. Intelligent analysis stage:

[0011] Obtain the captain and hull condition of the fishing vessel based on its basic information to determine whether to issue an age warning; obtain all certificate information of the fishing vessel based on its unique identifier to determine whether to issue an alert regarding certificate expiration, fishing range, and legal fishing; determine whether to fill out port entry and exit reports based on the rules set by the management department and the captain of the fishing vessel; obtain the filled-in fishing crew information based on the completed port exit report to determine whether the crew meeting the port exit requirements; determine whether the fishing vessel has exceeded the fishing quota based on the unique identifier of the fishing vessel; and check whether there are any outstanding violations of laws and regulations based on the name of the fishing vessel, unique identifier, owner, captain, and other information;

[0012] D. Early warning generation and processing stage:

[0013] Combined with the data processing of graded and classified warning rules and intelligent analysis stage, warning information is generated for fishing vessels, and various warning prompts are given according to warning time, warning type, warning level, rendering color, etc.; the generated warning information is verified, and if violations need to be dealt with after verification, relevant penalties can be imposed and the relevant identification of the fishing vessel can be updated; labels are generated for the above intelligent analysis information, and the label information is associated with the fishing vessel. Bubble warnings can be issued for the fishing vessel on the monitoring interface, and all warning labels can be viewed, and the warning details can be viewed through the warning labels.

[0014] To further optimize the technical solution, in step A, the corresponding AIS information of the law enforcement ship is bound to the mobile law enforcement terminal, the ship and the terminal are positioned and integrated, and then the relevant AIS information of the surrounding fishing boats is obtained.

[0015] To further optimize the technical solution, in step A, hierarchical and classified warning rules are set based on the business scenario, warning conditions, warning level, rendering color, and whether to perform rule processing.

[0016] To further optimize the technical solution, the fishing vessel position data in step B includes a nine-digit code for identifying the fishing vessel, the fishing vessel code, and longitude and latitude.

[0017] To further optimize the technical solution, the basic information of the fishing vessel in step B includes the unique identification of the fishing vessel, the name of the fishing vessel, the captain, and the power.

[0018] To further optimize the technical solution, the method for determining the age warning in step C is to determine whether the obtained length and hull material of the fishing vessel have reached the restricted age according to the fishing vessel age standard, and if so, issue a warning; otherwise, determine whether the general age has been reached, and if so, issue a warning.

[0019] To further optimize the technical solution, the method for determining whether it is necessary to fill out the port entry and exit report in step C is based on the rules set by the management department. If no rules are set, it is assumed that fishing vessels ≥12 meters must fill out the port entry and exit report; the last port entry and exit report is queried based on the unique identifier of the fishing vessel, and a judgment is made in combination with the time of the ship's position reporting. If the port entry and exit report must be filled out and there is no data, an early warning is issued.

[0020] To further optimize the technical solution, the method for judging whether the crew members leaving the port meet the requirements for leaving the port in step C is based on the obtained information of the fishing crew members. If the crew members are unlicensed, an early warning will be issued; if the certified crew members have a full 12 points and have not been dealt with, an early warning will be issued; if there is no problem with the crew member's certificate, it is necessary to combine the captain and power to judge whether the requirements for the crew staffing of the position are met, and if not, an early warning will be issued.

[0021] To further optimize the technical solution, the method for determining whether a fishing vessel has exceeded the fishing quota in step C is to query whether it is a fishing vessel with a fishing quota based on the unique identifier of the fishing vessel. If the fishing quota conditions are met, an electronic fishing log must be obtained. If the electronic fishing log is not filled out, an early warning must be issued. The filled-in electronic fishing log data is summarized, the total fishing amount is analyzed, and a data early warning is issued according to the fishing limit classification requirements. If the summarized data exceeds the fishing limit, an early warning must be issued.

[0022] To further optimize the technical solution, the multiple early warning prompts in step D include interface reminders, sound alarms and message reminders.

[0023] Due to the adoption of the above technical solution, the technical progress achieved by the present invention is as follows.

[0024] The present invention provides a method for contactless law enforcement inspection in near and far seas based on multi-source data fusion of fishing vessels. The method combines AIS to realize multi-source data fusion analysis, and performs a series of intelligent algorithm fusion and analysis. The method supports timed wake-up and passive wake-up acquisition for the acquisition of ship position data, and automatically identifies, organizes, analyzes and issues early warning, so that fishing vessel information can be obtained without boarding the vessel, realizing contactless law enforcement inspection of near and far sea fishing vessels, thereby improving the accuracy, safety and efficiency of maritime law enforcement. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 Flowchart of the present invention. DETAILED DESCRIPTION

[0026] The present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0027] A non-contact law enforcement inspection method for near and far seas based on multi-source data fusion of fishing vessels, the flow chart of which is as follows: Figure 1 As shown, the following steps are included:

[0028] A. Initialization phase, including binding the AIS of the law enforcement vessel and setting the hierarchical and classified warning rules. The rules are defined by the innovative algorithm of this business.

[0029] Binding the AIS of the law enforcement ship is achieved by binding the corresponding AIS information of the law enforcement ship on the mobile law enforcement terminal, which can realize the positioning fusion of the ship and the terminal, and then obtain the relevant AIS information of the surrounding fishing boats.

[0030] Setting up hierarchical warning rules is to set up hierarchical warning rules based on business scenarios, warning conditions, warning levels, rendering colors, and whether to handle violations, so as to facilitate subsequent intelligent analysis and handling of violations.

[0031] B. The fishing vessel discovery stage includes receiving the fishing vessel position information, analyzing the fishing vessel position, querying the fishing vessel's basic information, and querying the nine-digit fishing vessel position.

[0032] By obtaining AIS information of surrounding fishing vessels and receiving their position information, the distribution of fishing vessels can be displayed.

[0033] Analyzing the fishing vessel position is to analyze the fishing vessel position data according to the AIS standard specifications and identify the fishing vessel's nine-digit code, fishing vessel code, longitude and latitude and other related information.

[0034] The query of basic information of fishing vessels is to query basic information of fishing vessels based on the nine-digit code and fishing vessel code in the identified AIS information, and obtain the unique identification of the fishing vessel, the name of the fishing vessel, the captain, the power and other information.

[0035] The nine-digit code fishing vessel position is checked by judging whether the nine-digit code can be used to query other fishing vessels. If there is information, a nine-digit code duplicate warning will be issued; then the nine-digit code historical position information is checked to judge whether the position has been reported in the same area for a long time and the heading is the same. If so, a suspected dismantling warning will be issued.

[0036] C. Intelligent analysis phase, including obtaining the captain and hull material, obtaining the fishing vessel and verification certificate information, obtaining the last port entry and exit report, obtaining the port entry and exit crew information, obtaining the fishing quota and electronic fishing log information, and obtaining the fishing vessel's violation record.

[0037] The length and hull material are obtained based on the basic information of the fishing vessel, and based on the fishing vessel age standard, it is judged whether the age limit has been reached. If so, an early warning is issued; otherwise, it is judged whether the general age has been reached. If so, an early warning is issued; the early warning may not be repeated.

[0038] Obtaining fishing vessel and verification certificate information is to obtain all certificate information of the fishing vessel based on the unique identification of the fishing vessel, determine whether any certificate has expired, and issue an early warning if so; identify whether the fishing vessel is in the fishing area, and determine whether it is within the operating time range of the fishing permit. If it exceeds the time range, issue an early warning; determine whether it is currently in the fishing moratorium. If it is not fishing gear and there is no report of port transfer during the fishing moratorium, issue an early warning; if it is legal fishing, it is necessary to determine whether it is in the operating area registered in the fishing license based on the ship's position. If not, issue an early warning.

[0039] Obtaining the last port entry and exit report is based on the rules set by the management department and the captain of the fishing vessel to determine whether it is necessary to fill out the port entry and exit report. If there are no rules set, it is defaulted that fishing vessels ≥12 meters must fill out the port entry and exit report; query the last port entry and exit report based on the unique identification of the fishing vessel and make a judgment based on the time when the ship's position is reported. If the port entry and exit report must be filled out and there is no data, an early warning will be issued.

[0040] If the port entry and exit report has been completed, the completed fishing crew information will be obtained and judged. If the crew member is unlicensed, a warning will be issued; if there are 12 points or more for a certified crew member and no action has been taken, a warning will be issued. If there are no problems with the crew member's certificate, the captain and power will be combined to determine whether the crew member's staffing requirements are met. If not, a warning will be issued.

[0041] Obtaining fishing quota and electronic fishing log information is to query whether the fishing vessel is a fishing vessel with a fishing quota based on its unique identification. If the fishing quota conditions are met, an electronic fishing log must be obtained. If the electronic fishing log is not filled out, an early warning must be issued. The filled-in electronic fishing log data is summarized, the total fishing amount is analyzed, and data early warnings are issued according to the fishing limit classification requirements. If the summarized data exceeds the fishing limit, an early warning must be issued.

[0042] Obtaining fishing vessel violation records is to check whether there are any unfulfilled violations based on the fishing vessel's name, unique identification, owner, captain and other information, and to issue an early warning if any.

[0043] D. Warning generation and processing stage, including classification and generation of warnings, penalties for violations and review of fishing vessel information.

[0044] Classified warnings combine categorized warning rules with data processing from the intelligent analysis phase to generate warning information for specific fishing vessels. Based on the warning time, type, level, and rendering color, various warning prompts are provided, including interface alerts, audio alerts, and text messages. Warning information can be displayed in various formats, including lists and tree diagrams, for the same fishing vessel.

[0045] Violation penalties are imposed based on verification of the warning information generated. If violations need to be dealt with after verification, relevant penalties may be imposed; and relevant identification of fishing vessels shall be updated.

[0046] Viewing fishing vessel information is to generate labels for the above-mentioned intelligent analysis information, and associate the label information with the fishing vessel. Bubble warnings can be issued for the fishing vessel on the monitoring interface, and all warning labels can be viewed, and warning details can be viewed through the warning labels.

[0047] When fishing boats are sailing and operating at sea, fishery law enforcement departments receive AIS signals and data transmitted by surrounding fishing boats through AIS equipment on the fishery law enforcement boats, parse the data content, identify and locate the fishing boats, and obtain information about fishing boats around the law enforcement boats. They then perform automated data retrieval based on the identified fishing boat identifications, fuse and analyze the results from multiple sources, and conduct data perception and judgment on fishing boats.

[0048] By applying a correlation and fusion algorithm to this information, law enforcement terminals can verify the legality of fishing vessel certificates, compliance with operating types and areas, any violations, and compliance with production management requirements. Combined with various regulatory requirements, these terminals implement a tiered and categorized approach to fishing vessel supervision and issue early warnings. This allows for contactless inspections of fishing vessels near and far, without requiring boarding. This new approach improves the accuracy, safety, and efficiency of maritime law enforcement.

[0049] Fishery law enforcement authorities link their vessels' AIS data to the national law enforcement management platform. When operating near or far sea routes, the vessel's onboard AIS continuously receives signals and data from nearby fishing vessels. The linked AIS analyzes the vessel's position data according to the "Technical Specifications for Automatic Identification Systems (AIS) for Fishing Vessels, Class B Equipment," providing information such as the vessel's code, primary dimensions, call sign, heading, speed, latitude and longitude, and the vessel's nine-digit code. Further data is obtained through marine broadband. Even in the absence of 4G signals or shore-based coverage, this data can be linked and integrated in real time with fishing vessel files, electronic licenses, fishing vessel violation records, and production and operation data stored in the fishery administration system, achieving comprehensive visibility into all fishing vessel information and records. This system simultaneously analyzes and assesses a range of illegal activities and, based on pre-defined rules, provides tiered and categorized warnings. This provides a basis for decision-making regarding contactless law enforcement at sea, monitoring the positions of fishing vessels operating in the surrounding waters, electronic identification of fishing vessels, remote command and dispatch, and emergency response.

Claims

1. A non-contact law enforcement inspection method for near and far seas based on multi-source data fusion of fishing vessels, characterized by: The following steps are involved: A. Initialization phase: This includes binding the AIS of law enforcement vessels and setting up classification and warning rules, as well as defining innovative algorithms for this service. B. Discovery and identification of fishing vessels: The system receives the position information of fishing vessels and displays the distribution of fishing vessels by acquiring the AIS information of surrounding fishing vessels. The system then analyzes the position data of fishing vessels according to AIS standards. The system queries the basic information of fishing vessels based on the nine-digit code and fishing vessel code in the identified AIS information. The system determines whether the nine-digit code can be used to query other fishing vessels. If other fishing vessels are found, the system issues a nine-digit code duplication warning. Finally, the historical position information of the nine-digit code is checked to determine whether the fishing vessel has been reporting its position in the same area for a long time and heading in the same direction. If the fishing vessel has been reporting its position in the same area and heading in the same direction for a long time, an early warning of suspected demolition will be issued; C. Intelligent analysis stage: Obtain the length and hull condition of the fishing vessel based on its basic information to determine whether to issue an age warning. Obtain all the certificate information of the fishing vessel based on the unique identification of the fishing vessel, determine whether the certificate has expired, the fishing range, and whether the fishing is legal; Determine whether a port entry and exit report is required based on the rules set by the management department and the captain of the fishing vessel; obtain the information of the fishing crew members filled in the port exit report and determine whether the crew members meet the port exit requirements; Determine whether a fishing vessel has exceeded its fishing quota based on its unique identification; Check whether there are any outstanding violations of laws and regulations based on the fishing vessel's name, unique identifier, owner, and captain's information; D. Warning generation and processing stage: Combining the hierarchical and classified warning rules with data processing in the intelligent analysis and judgment stage, warning information is generated for fishing vessels, and various warning prompts are provided based on the warning time, warning type, warning level, and rendering color; The generated warning information is verified. If any illegal or irregular actions are required after verification, relevant penalties will be imposed and the relevant identification of the fishing vessel will be updated. Labels will be generated for the above intelligent analysis information, and the label information will be associated with the fishing vessel. Bubble warnings will be issued for the fishing vessel on the monitoring interface, and all warning labels will be viewed, and the warning details will be viewed through the warning labels.

2. The method for non-contact law enforcement inspection in near and far seas based on multi-source data fusion of fishing vessels according to claim 1 is characterized by: In step A, the AIS information of the corresponding law enforcement vessel is bound to the mobile law enforcement terminal, the vessel and the terminal are positioned and integrated, and then the relevant AIS information of the surrounding fishing vessels is obtained.

3. The method for non-contact law enforcement inspection in near and far seas based on multi-source data fusion of fishing vessels according to claim 1 is characterized by: In step A, hierarchical and classified warning rules are set based on the business scenario, warning conditions, warning level, rendering color, and whether to perform rule processing.

4. The method for non-contact law enforcement inspection in near and far seas based on multi-source data fusion of fishing vessels according to claim 1 is characterized by: The fishing vessel position data in step B includes a nine-digit code for identifying the fishing vessel, a fishing vessel code, and longitude and latitude.

5. The method for non-contact law enforcement inspection in near and far seas based on multi-source data fusion of fishing vessels according to claim 1 is characterized by: The basic information of the fishing vessel in step B includes the unique identification of the fishing vessel, the name of the fishing vessel, the captain, and the power.

6. The method for non-contact law enforcement inspection in near and far seas based on multi-source data fusion of fishing vessels according to claim 1 is characterized by: The method for judging the age warning in step C is to use the obtained fishing vessel length and hull material to determine whether the age limit has been reached according to the fishing vessel age standard. If the age limit has been reached, an early warning is issued; otherwise, it is determined whether the general age has been reached. If the general age has been reached, an early warning is issued.

7. The method for non-contact law enforcement inspection in near and far seas based on multi-source data fusion of fishing vessels according to claim 1 is characterized by: The method for determining whether it is necessary to fill out the port entry and exit report in step C is based on the rules set by the management department. If no rules are set, it is assumed that fishing vessels ≥12 meters must fill out the port entry and exit report; the last port entry and exit report is queried based on the unique identifier of the fishing vessel, and the judgment is made in combination with the time of the ship's position reporting. If the port entry and exit report must be filled out and there is no data, an early warning is issued.

8. The method for non-contact law enforcement inspection in near and far seas based on multi-source data fusion of fishing vessels according to claim 1 is characterized by: The method for judging whether the crew members meeting the requirements for leaving the port in step C is to judge whether the crew members meeting the requirements for leaving the port based on the obtained information of the fishing crew members. If the crew members are unlicensed, an early warning will be issued; if the certified crew members have a score of 12 or more and have not been dealt with, an early warning will be issued; if there is no problem with the crew members' certificates, it is necessary to judge whether the requirements for the professional crew members are met in combination with the captain and power. If the requirements for the professional crew members are not met, an early warning will be issued.

9. The method for non-contact law enforcement inspection in near and far seas based on multi-source data fusion of fishing vessels according to claim 1 is characterized by: In step C, the method for determining whether a fishing vessel has exceeded its catch quota is to query the fishing vessel's unique identifier to determine whether it is a quota-limited fishing vessel. If the catch quota is met, an electronic fishing log is obtained. If the electronic fishing log is not completed, an early warning is issued. The completed electronic fishing log data is summarized, the total catch amount is determined, and a data early warning is issued based on the fishing quota classification requirements. If the aggregated data exceeds the fishing limit, an early warning is required.

10. The method for non-contact law enforcement inspection in near and far seas based on multi-source data fusion of fishing vessels according to claim 1 is characterized by: The various early warning prompts in step D include interface reminders, sound alarms and message reminders.

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