CN114387120A - Euphausia superba pumping continuous fishing ship state fine identification method based on real-time ship position data - Google Patents

Abstract

The invention discloses a method for finely identifying the state of Antarctic krill pumping ships based on ship position monitoring data, which specifically includes the following steps: (1) passing VSM or AIS data on the state of each ship position during the ship operation season; (2) When the speed and heading difference are within the threshold range, it is in the working state; (3) The state point is corrected by the neighbor steady state division method. Specifically, among the ship position points in the time series, within a short unit time, the point The same short unit time before and after i; (4) where C _front is a state earlier than point i, and C _back is a state later than point i. The invention utilizes the ship position trajectory data of the Antarctic krill pumping continuous fishing vessel, and judges the state of the fishing vessel according to the speed threshold and the direction angle, so as to accurately understand the operation law of the Antarctic krill pumping continuous fishing vessel, and provide a reference for future Antarctic krill fishing operations .

Description

A refined identification method of Antarctic krill pumping continuous fishing vessel status based on real-time vessel position data

technical field

The invention relates to the technical field of ship position data statistical analysis and Antarctic krill pumping continuous fishing vessel position data application, in particular to a method for extracting the operating status of pumping continuous fishing vessels from real-time ship position data.

Background technique

Vessel Monitoring System (VMS, Vessel Monitoring System), automatic vessel identification system AIS and ocean-going monitoring platform can provide real-time latitude and longitude, heading, speed and other information of fishing boats, and have the characteristics of sufficient data sources and high information accuracy. By analyzing the ship position data, the operating and non-operating states of the krill pumping continuous fishing vessel can be accurately judged. At present, the existing research at home and abroad mainly focuses on trawl nets and gillnets, and mainly focuses on the analysis of the ship position status of conventional trawl and gillnet fishing vessels using VMS data. However, there is no report on the status identification method of Antarctic krill fishing vessels. The Antarctic krill pump-suction continuous fishing vessel has distinct operating characteristics. Unlike ordinary trawlers, which need to start their nets within 1 to 5 hours, the Antarctic krill pump-suction continuous fishing vessel can operate continuously for several days, and the speed changes during the operation. It is relatively small, the heading difference changes greatly, and the ability to resist wind and waves is strong, and the operation is almost unaffected by wind and waves. Therefore, the previous research methods are not suitable for the study of the ship position data of Antarctic krill pumping continuous fishing vessels.

Against the background of fierce competition in the international krill fishery, krill fishing powerhouses such as Norway have recently created a new operation method of pumping continuous fishing vessels to catch krill. I haven't tried shrimp fishing before launching into the water, so how to identify and master the new pump-suction continuous krill fishing operation mode and the corresponding fishery has become one of the technical bottlenecks restricting the development of my country's krill fishery. Therefore, it is urgent to construct an appropriate method to judge the identification method based on the refined operation characteristics of the Antarctic krill pump-suction continuous fishing vessel and the state of the fishing vessel.

SUMMARY OF THE INVENTION

In order to overcome the above-mentioned deficiencies of the prior art, the present invention provides a method for finely identifying the state of an Antarctic krill pumping continuous fishing vessel based on real-time vessel position data.

The technical scheme adopted by the present invention to solve its technical problems is:

A method for finely identifying the state of Antarctic krill pumping continuous fishing vessels based on real-time vessel position data, comprising the following steps:

(1) In the ship operation season, the state of each ship position is comprehensively judged by the VSM or AIS data, and the operating characteristics of the Antarctic krill pumping continuous fishing ship, see judgment formula (1):

(2) When the speed and heading difference are within the threshold range, it is in the operating state, where C is the state of the ship position, where 0 is the fishing operation, 1 is the fluctuation attitude adjustment, 2 is the high-speed sailing, v is the current speed, and d is the The current heading difference, V _min is the set minimum speed of the fishing operation state, V _mid is the set maximum speed of the fishing operation state, V _max is the set maximum speed of the wave attitude adjustment state, and D _min is the set The minimum value of the heading difference in the working state is -350°, D _mid is the set minimum value of the heading difference in the non-operating state -60°, and D _max is the set maximum value of the heading difference in the working state of 340°;

(3) Use the neighbor steady state division method to correct the state points. Specifically, among the ship positions in the time series, in a short unit time, there are more certain ship positions in the same short unit time before and after point i. The number of state points, it is considered that:

(4) Among them, C _front is a state earlier than point i, and C _back is a state later than point i.

Further, the AIS data includes time, position, ship speed, and heading.

Further, the fishing operation in the step (2) is 0.8 knots≤v<2.5 knots, -350°≤d≤340°.

Further, in the step (2), the wave attitude is adjusted to be 2.5 knots≤v<4.7 knots, -350°≤d≤340°.

Further, the high-speed sailing in the step (2) is 4.7 knots≤v, -60°≤d≤340°.

Further, the state C _front which is earlier than point _i is determined by the value with the shortest time interval and the most states in the states (P ₁ , P ₂ , P ₃ . _back is determined by the value with the shortest time interval and the most states in the states (P _i+1 , P _i+2 , P _i+3 . . . P _n ).

Further, the maximum value and the minimum value of the heading difference in the fishing operation state are obtained according to the operation characteristics of the Antarctic krill pump suction vessel, historical experience and the time interval analysis of the VMS data of the ocean-going platform of multiple vessels throughout the year.

Further, the maximum value of the heading difference in the working state is 340°, and the median value of the heading difference is -60° and the minimum value is -350°.

Further, the set minimum and maximum speed are obtained according to the two-month heading and speed chart of the pump-suction ship and the statistical data of multiple ships throughout the year.

Further, during the fishing season, the points where the boat speed is 0 or not detected are removed, and during the operation period, the minimum boat speed is 0.1 knots, and the maximum boat speed is 14.4 knots.

Beneficial effects:

The above-mentioned technical scheme fills up the blank of krill pump suction continuous fishing ship state determination, and compared with the prior art, has the following advantages and positive effects: the state of each ship position in the present invention is determined by real-time ship position data characteristics (position, speed , course difference) combined with the operating characteristics of Antarctic krill pump-suction continuous fishing vessels to make a comprehensive judgment, so that it can extract the refined operation status of Antarctic krill pump-suction continuous fishing vessels based on the ship position data mining method.

Description of drawings

Figure 1 shows the speed and heading distribution of the Norwegian Antarctic Endurance krill pumping continuous fishing vessel from 14:35 on June 22, 2021 to 19:09 on July 17, 2021.

Figure 2 is a graph of the percentage of the number of krill pumping continuous fishing vessels changing with speed from June to July in 2021.

Figure 3 is the state diagram of the Norwegian Antarctic Endurance krill pumping continuous fishing vessel after state division and state correction.

Detailed ways

Below in conjunction with the accompanying drawings, the embodiments of the present invention are described in detail: the present embodiment is implemented on the premise of the technical solution of the present invention, and provides detailed embodiments and specific operation processes, but the protection scope of the present invention is not limited to the following described embodiment.

Example 1:

The embodiment of the present invention relates to a method for finely identifying the state of Antarctic krill pumping continuous fishing ships based on real-time ship position data. The state of each ship position is judged by the combination of speed and heading difference, and the judgment is carried out by the adjacent state division method. The correction includes the following steps: (1) Judging the speed and heading difference threshold of the fishing state according to the rate of change of the speed change frequency; (2) The state of each ship position is judged by the combination of the speed and the heading difference. Judging by formula (1), when When the speed and heading are within the threshold range, it is in the fishing state; (3) Use the neighbor steady state division method to correct the state points divided in step (2).

The midpoint C of the formula (1) is the state of the ship position, in which state 0 is the fishing operation, 1 is the adjustment of the fluctuation attitude, and 2 is the high-speed sailing.

The heading of the Antarctic krill pumping continuous fishing boat refers to the horizontal angle between the fishing boat position on the horizontal plane and the clockwise direction from the north direction line of the center to the target direction line, and the heading value is 0 Between ~360°. In order to further analyze the actual change of the heading, the heading angle difference is calculated to obtain the heading difference. The heading difference is the difference between the heading of the next time and the heading of the previous time between two adjacent times. The positive value reflects the clockwise rotation of the heading. , the negative number reflects the counterclockwise rotation of the fishing boat. The VMS data actually received by the Yuanyu platform has a long time interval, and the heading changes greatly.

Through the annual statistical data of multiple ships, during the fishing season, the points where the ship speed is 0 or not detected, that is, the points where the ship speed is equal to the current speed and the actual ship speed are not detected are removed. Secondly, during the operation period, the minimum ship speed is set as the minimum speed, and the maximum speed is set as the maximum speed.

In order to improve the accuracy of judging the state of the ship position point, the adjacent steady state division method is used to correct it. In a short unit time, in the same short unit time before and after point P, there are more certain ship position states, it is considered that

In formula (2), the state C _front that is earlier than point _i is determined by the value with the shortest time interval and the largest number of states in the states (P ₁ , P ₂ , P ₃ . The late state C _back is determined by the value of the state (P _i+1 , P _i+2 , P _i+3 . . . P _n ) with the shortest time interval from point i and the most states.

Judging C _i by the above formula, there are four cases in total. If the states of C _front , C _i , and C _back are all different, the original state value is maintained; if the number of ship position points of C _back is greater than the number of ship position points of C _front , and the states of C _i and C _back are the same, then C _i is C _back state; if the number of C _front ship position states is greater than the number of C _back ship position points, and the C _i and C _back states are the same, then Ci is the C _front state; if the number of C _front ship position points is equal to the number of C _back ship position points, and The states of C _i , C _back and C _front are the same, then C _i is the state of C _back or C _front .

Example 2:

1. Determine _Dmin , _Dmid and _Dmax

Select 255 points from 14:35 on June 22, 2021 to 23:41 on July 16, 2021 in the 2021 Antarctic Endurance Antarctic Krill Pumping Continuous Fishing Vessel, MMSI: 257400000 (hereinafter referred to as Antarctic Endurance) as a sample for analysis. During this period of time, the ship's position can be divided into 7 sections according to the speed. As shown in Figure 1, the fishing operations in state 0 (sections C, E and G) and the fluctuation attitude adjustment in state 1 (sections B, D and G) Section F), state 2 high-speed sailing (section A), that is, 3 states. Among them, Section A is the krill pumping continuous fishing boat sailing at high speed to the designated fishing ground; Section B is when the ship is about to arrive at the designated fishing ground, and adjusts its attitude to prepare for fishing; Section C is when the ship arrives at Fishing Ground 1 for fishing operations; Section D is when the fishing ground 1 is finished. , adjust the wave attitude and move to fishing ground 2; Section E is when the ship arrives at fishing ground 2 for fishing operations; Section F is when the operation of fishing ground 2 is completed, and moves to fishing ground 3 after adjusting the wave attitude; Section G is when the ship arrives at fishing ground 3 for fishing operations. The operation of Antarctic krill pumping continuous fishing vessels has obvious characteristics. Unlike ordinary fishing vessels, which have to close their nets every few hours, Antarctic krill pumping continuous fishing vessels can operate continuously for several days, and the operation time is almost Not affected by wind and waves.

The heading of the Antarctic krill pumping continuous fishing boat refers to the horizontal angle between the clockwise direction line and the target direction line from the position of the fishing boat as the center on the horizontal plane, and the heading value is 0～ between 360°. In order to further analyze the actual change of the heading, the heading angle difference is calculated to obtain the heading difference. The heading difference is the difference between the heading of the next time and the heading of the previous time between two adjacent times. The positive value reflects the clockwise rotation of the heading. , the negative number reflects the counterclockwise rotation of the fishing boat. The VMS data actually received by the Yuanyu platform has a long time interval, and the heading changes greatly. Referring to Figure 1 and the statistics of the data of multiple ships, set the heading differences D _max , D _mid and D _min as 340°, - 60° and -350°.

2. Determine _Vmin , _Vmid and _Vmax

Recording the change in the number of ship positions with speed during the fishing season in 2020, Figure 2 is a record of the speed of Antarctic Endurance, Saga Sea and Antarctic Sea points (from VMS data) for the Antarctic Endurance, Saga Sea and Antarctic Sea during the fishing season as a percentage of all ship positions. Do statistics. Since the time interval of the actually received VMS data is long, some data are the same as the local flow velocity, so the generated values are 0m/s and Null data. In the judgment of the fishing boat state, this part of the data cannot be used as the setting V _min , V _mid and The value of _Vmax is discarded.

The Antarctic krill pump-suction continuous fishing vessel mainly operates at slow speed, and the fishing speed is 0.8-2.5 knots. It can also be seen from the figure that the Antarctic krill pump-suction vessel data is mainly concentrated at 0-2.5 knots, so During the fishing season, the point where the boat speed is 0 or not detected is removed. During the operation period, the minimum boat speed is 0.1kn/h and the maximum boat speed is 14.4kn/h. is the maximum speed.

3. Status correction of Antarctic krill pumping continuous fishing vessel

In order to improve the accuracy of judging the state of the ship position point, the adjacent steady state division method is used to correct it. In a short unit time, in the same short unit time before and after point P, there are more certain ship position states, it is considered that

The state C _front which is earlier than point _i is _determined by the value of the state (P ₁ , P ₂ , P ₃ . Among the states (P _i+1 , P _i+2 , P _i+3 . . . P _n ), the value with the shortest time interval from the point i and the most states is determined.

This method can better divide the intermediate points of two adjacent states, judge the starting and ending points of the three states of fishing operation, fluctuation attitude adjustment and high-speed sailing, so as to achieve more accurate division of fishing boat states. Figure 3 is the Norwegian Antarctic Endurance krill pump The suction continuous fishing vessel adopts the state diagram after state division and state correction.

The basic principles and main features of the present invention and the advantages of the present invention have been shown and described above. Those skilled in the art should understand that the present invention is not limited by the above-mentioned embodiments. The above-mentioned embodiments and descriptions only illustrate the principle of the present invention. Without departing from the spirit and scope of the present invention, the present invention will also have Various changes and modifications fall within the scope of the claimed invention. The claimed scope of the present invention is defined by the appended claims and their equivalents.

Claims (10)

1. A euphausia superba pumping continuous fishing ship state fine identification method based on real-time ship position data is characterized by comprising the following steps:

(1) the states of all ship points are comprehensively judged through VSM or AIS data in the ship operation season, and the operation characteristics of the continuous fishing ship pumped by the antarctic krill are shown in a judgment formula (1):

(2) when the difference between the navigational speed and the course is within the threshold value range, the ship is in an operation state, wherein C is the state of the ship position point, wherein 0 is fishing operation, 1 is fluctuation attitude adjustment, 2 is high-speed navigation, V is the current navigational speed, d is the current course difference, and V is the current course difference_minFor a set minimum value of the navigational speed, V, of the fishing operation state_midFor maximum value of speed of fishing operation state，V_maxAdjusting the maximum speed for a set fluctuating attitude, D_minFor a set operating state course difference minimum value of-350 DEG, D_midThe set minimum value of course difference in the non-operation state is-60 DEG D_maxThe maximum value of the course difference is 340 degrees in the set operation state;

(3) and (3) correcting the state points by adopting a neighboring steady state division method, specifically, in the ship position points in the time sequence, in a shorter unit time, in the same shorter unit time before and after the point i, the number of certain ship position state points is more, and then:

(4) wherein C is_frontAt a time earlier than point i, C_backThe state is later than the point i time.

2. The method for finely identifying the state of the Antarctic krill pumping continuous fishing vessel based on real-time ship position data according to claim 1, wherein the AIS data comprises time, position, ship speed and heading.

3. The method for finely identifying the state of the Euphausia superba pumping continuous catching ship based on real-time ship position data is characterized in that the catching operation in the step (2) is 0.8 knots v < 2.5 knots, -350 DEG and d < 340 deg.

4. The method for finely identifying the state of the Euphausia superba pumping continuous catching ship based on the real-time ship position data is characterized in that the fluctuation posture in the step (2) is adjusted to be 2.5 knots v < 4.7 knots, -350 DEG d < 340 deg.

5. The method for finely identifying the state of the Euphausia superba pumping continuous catching ship based on the real-time ship position data is characterized in that the high-speed sailing behavior in the step (2) is 4.7 knots v-60 degrees d-340 degrees.

6. The method for finely identifying the state of the Euphausia superba pumping continuous catching ship based on real-time ship position data as claimed in claim 1, wherein the state C is earlier than the time of point i_frontFrom state (P)₁，P₂，P₃…P_i-1) The value of the middle distance point i with the shortest time interval and the most state is determined, and the state C is later than the time of the point i_backFrom state (P)_i+1，P_i+2，P_i+3…P_n) And determining the value with the shortest time interval and the most states at the intermediate distance point i.

7. The method for finely identifying the states of the Euphausia superba pumping continuous fishing vessel based on real-time vessel position data is characterized in that the maximum value and the minimum value of the heading difference of the fishing operation states are obtained according to the characteristics, the historical experience and the VMS data time interval analysis of the annual ocean platform of the Euphausia superba pumping vessel.

8. The method for finely identifying the state of the Antarctic krill pumping continuous fishing vessel based on the real-time ship position data is characterized in that the maximum value of the heading difference of the working state is 340 degrees, the median value of the heading difference is-60 degrees, and the minimum value is-350 degrees.

9. The method for finely identifying the state of the Euphausia superba pumping continuous catching ship based on the real-time ship position data is characterized in that the set minimum value and maximum value of the navigational speed are obtained according to a two-month heading navigational speed chart of the pumping ship and the annual statistical data analysis of a plurality of ships.

10. The method for finely identifying the state of the Euphausia superba pumping continuous fishing vessel based on real-time ship position data is characterized in that points with the ship speed of 0 or undetected are removed during the fishing season, and the minimum value of the ship speed is 0.1 knots and the maximum value of the ship speed is 14.4 knots during the working period.

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