Information display method and system for ship

Abstract

The invention relates to the technical field of ship data processing, in particular to an information display method and system for a ship. According to the method, when the radar monitoring data is filtered by adopting wavelet transform, the same number of layers of real-time radar monitoring data before and after filtering are decomposed, then the wavelet transform coefficient of each layer is compared, and the wavelet transform coefficient of each layer of the data before and after filtering is compared as a compression threshold value; according to the method, a compression threshold value is set for each layer of wavelet coefficient, namely, a compression threshold value is set for each layer of wavelet coefficient, and the compression threshold value is only related to the layer of wavelet coefficient, so that the accuracy of wavelet coefficient setting is improved, and the accuracy of wavelet transform filtering is further improved; meanwhile, the data set size of the dynamic AIS information is determined according to the maximum risk collision factor of the ship and the second ship and the preset collision factor, so that the prediction efficiency of the ship collision risk is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of ship data processing, and in particular to a ship information display method and system. Background Art

[0002] Recently, maritime transportation has increased significantly, and ships are developing towards larger and smarter trends. Currently, most ship navigation is based on electronic charts, AIS, radar and other equipment to determine the navigation information of ships at sea. Maritime data shows that 80% of maritime accidents are caused by errors in the operation process. In order to prevent or alleviate this situation, it is essential to develop display equipment with advanced IT technology. With the gradual development of science and technology in ship-related fields, maritime trade and transportation have become more frequent. However, the situation of water safety and transportation is still not optimistic. Among all types of water traffic accidents, collision accidents account for one of the highest proportions. Therefore, using electronic charts, AIS, radar and other data to display collision accidents is a very meaningful research topic.

[0003] In the prior art, when processing electronic charts, AIS, and radar data, there is a problem of low accuracy of the processing flow. For example, when using wavelet transform to process radar data, a hard threshold, a soft threshold, or a double threshold is generally used to compress the wavelet transform coefficients. However, when the above compression method compresses the wavelet coefficients, there is a problem that the compression easily causes excessive loss of useful signals, affecting the processing effect of the wavelet transform; at the same time, when using dynamic AIS information for data processing, the size of the AIS information is not considered, resulting in low efficiency in using AIS data processing. Summary of the invention

[0004] In view of this, the present invention proposes a ship information display method for improving the accuracy and efficiency of ship information display.

[0005] In order to achieve the above object, a method for displaying information for a ship is provided, the method comprising the following steps:

[0006] S1: Acquire real-time radar monitoring data of the ship;

[0007] S2: filtering the real-time radar monitoring data of the ship, and when a second ship appears in the channel area of ​​the ship and the distance between the ship and the second ship is reduced, proceeding to the next step;

[0008] The filtering process for the real-time radar monitoring data of the ship is specifically as follows:

[0009] S2.a: Decompose the real-time radar monitoring data of the ship into c layers through wavelet transform, and obtain the wavelet transform coefficient W of each layer 1j (a, b);

[0010] S2.b: performing a filtering operation on the real-time radar monitoring data of the ship to obtain the real-time radar monitoring data after filtering;

[0011] S2.c: Decompose the filtered real-time radar monitoring data into c layers through wavelet transform to obtain the wavelet transform coefficient W of each layer. 2j (a, b);

[0012] S2.d: Determine the compression threshold t of the wavelet transform coefficients of each layer j , and compress the wavelet transform coefficients of each layer;

[0013] S2.e: reconstructing the signal of each layer of wavelet transform coefficients after the compression operation, so as to realize filtering processing of the real-time radar monitoring data of the ship.

[0014] S3: Acquire dynamic AIS data of the ship and the second ship;

[0015] S4: Calculate the average speeds V1 and V2 of the ship and the second ship;

[0016] S5: Acquire a distance d between the ship and the second ship;

[0017] S6: determining a processing method for the dynamic AIS data of the ship and the second ship according to the average speed of the ship and the second ship and the distance between the ship and the first ship, and obtaining the processed dynamic AIS data of the ship and the second ship;

[0018] S7: inputting the data set into the collision risk prediction model to obtain the collision risk size;

[0019] S8: Displaying the collision risk on a ship operation information display screen.

[0020] Preferably, the calculation formula of the compression threshold tj of the wavelet transform coefficient of each layer is: .

[0021] Preferably, the S6 is specifically:

[0022] S6.1: Calculate the maximum risk collision factor s between the ship and the second ship;

[0023] S6.2: Determine the relationship between the maximum risk collision factor s of the ship and the second ship and the preset collision factor. If the maximum risk collision factor s of the ship and the second ship is greater than the preset collision factor, proceed to S6.3; otherwise, proceed to S6.4:

[0024] 6.3: Processing the dynamic AIS data of the ship and the second ship using the first data processing method;

[0025] S6.4: Process the dynamic AIS data of the ship and the second ship using a second data processing method.

[0026] Preferably, in S6.1, the calculation formula of the maximum risk collision factor s between the ship and the second ship is: .

[0027] Preferably, in S6.1, the preset collision factor is 0.5h;

[0028] Preferably, the S6.3 is specifically: dividing the dynamic AIS data of the ship and the second ship into m data sets with 60s of data as one data set; the S6.4 is specifically: dividing the dynamic AIS data of the ship and the second ship into n data sets with 10s of data as one data set.

[0029] Preferably, in S1, the radar is a pulse radar.

[0030] Preferably, the pulse radar is composed of an antenna, a transmitter, a duplexer, a timer, a receiver and a display and control terminal.

[0031] Preferably, in S2.b, the real-time radar monitoring data is filtered through radar constant false alarm data processing.

[0032] Preferably, in S3, the AIS dynamic data includes: ship position, ship speed, and heading.

[0033] According to another aspect of the present invention, there is provided a ship information display system, the system adopts the above-mentioned ship information display method, the system comprising:

[0034] A real-time radar monitoring data acquisition module, used to acquire the real-time radar monitoring data of the ship;

[0035] A real-time radar monitoring data processing module, used for filtering the real-time radar monitoring data of the ship, and proceeding to the next step when a second ship appears in the channel area of ​​the ship and the distance between the ship and the second ship is reduced;

[0036] A dynamic AIS data acquisition module, used to acquire dynamic AIS data of the ship and the second ship;

[0037] An average speed calculation module, used to calculate the average speeds V1 and V2 of the ship and the second ship;

[0038] A ship distance determination module, used to obtain the distance d between the ship and the second ship;

[0039] a dynamic AIS data processing module, used to determine a processing method of the dynamic AIS data of the ship and the second ship according to the average speed of the ship and the second ship and the distance between the ship and the first ship, and obtain the processed dynamic AIS data of the ship and the second ship;

[0040] A collision risk size calculation module, used for inputting the data set into the collision risk prediction model to obtain the collision risk size;

[0041] The display module is used to display the collision risk on a ship operation information display screen.

[0042] The advantages and beneficial effects of the present invention are:

[0043] When the present invention uses wavelet transform to filter radar monitoring data, the real-time radar monitoring data before and after filtering are decomposed into the same number of layers, and then the wavelet transform coefficients of each layer are compared. The wavelet transform coefficients of each layer of the data before and after filtering are compared as a compression threshold, which is equivalent to setting a compression threshold for each layer of wavelet coefficients, and the compression threshold is only related to the wavelet coefficients of this layer, thus improving the accuracy of wavelet coefficient setting, thereby improving the accuracy of wavelet transform filtering;

[0044] At the same time, the present invention determines the data set size of dynamic AIS information according to the maximum risk collision factor of the ship and the second ship and the preset collision factor, thereby improving the prediction efficiency of the ship collision risk. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the drawings required for use in the description of the present invention or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0046] Figure 1 A flow chart of a method for displaying information for a ship provided by an embodiment of the present invention;

[0047] Figure 2 A schematic diagram of a pulse radar provided by an embodiment of the present invention;

[0048] Figure 3 A flow chart of filtering real-time radar monitoring data of a ship provided by an embodiment of the present invention;

[0049] Figure 4 A flowchart of obtaining processed dynamic AIS data provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0050] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0051] Embodiment 1: This embodiment includes a method for displaying information for a ship, as shown in the attached Figure 1 As shown, the method includes:

[0052] S1: Acquire real-time radar monitoring data of the ship;

[0053] In this embodiment, the radar is a pulse radar, which obtains the distance and azimuth of the second ship by measuring the round-trip pulse time interval of the radar wave between the detection targets;

[0054] As attached Figure 2 The pulse radar is composed of an antenna, a transmitter, a duplexer, a timer, a receiver and a display and control terminal; the transmitter provides a pulse signal and transmits it outward, the output power of the transmitter is fed to the antenna and radiated through the antenna, wherein the antenna is used to radiate the pulse signal in a concentrated manner to improve the ranging distance of the pulse radar. In this embodiment, the transmitter is a power amplification type transmitter; the receiver is used to receive the radiation signal of the second ship; the duplexer is used to isolate the transmitted and received pulse signals to ensure that the transmitter and the receiver can work normally at the same time; the timer is used to generate a trigger pulse signal; the display and control terminal is used to display the direction of the second ship;

[0055] S2: filtering the real-time radar monitoring data of the ship, and when a second ship appears in the channel area of ​​the ship and the distance between the ship and the second ship is reduced, proceeding to the next step;

[0056] The risk of collision may only be caused when other ships or navigation facilities (such as navigation marks, etc.) appear in the navigation area of ​​the ship. As for navigation facilities, on the one hand, they are stationary objects, and generally these navigation facilities have relatively accurate coordinates. Therefore, during the navigation process of the ship, the navigation facilities will be avoided when designing the route. Therefore, the risk of ship collision caused by navigation marks is relatively low. Therefore, this embodiment mainly considers the risk of collision with the ship caused by other ships and displays it;

[0057] In this step, if Figure 3 As shown, the filtering process for the real-time radar monitoring data of the ship is specifically as follows:

[0058] When the radar transmission wave touches the sea surface, due to the sea surface and the air above the sea surface, the radar transmission wave will be scattered to form clutter. The existence of clutter has a huge impact on the processing and interpretation of radar signals. Therefore, it is necessary to filter out the clutter.

[0059] S2.a: Decompose the real-time radar monitoring data of the ship into c layers through wavelet transform, and obtain the wavelet transform coefficient W of each layer 1j (a, b);

[0060] Among them, a is the scale and b is the displacement;

[0061] S2.b: performing a filtering operation on the real-time radar monitoring data of the ship to obtain the real-time radar monitoring data after filtering;

[0062] In this embodiment, the real-time radar monitoring data is filtered by radar constant false alarm data processing;

[0063] S2.c: Decompose the filtered real-time radar monitoring data into c layers through wavelet transform to obtain the wavelet transform coefficient W of each layer. 2j (a, b);

[0064] S2.d: Determine the compression threshold t of the wavelet transform coefficients of each layer j , and compress the wavelet transform coefficients of each layer;

[0065] In the prior art, a hard threshold, a soft threshold, or a double threshold is generally used to compress the wavelet transform coefficients. However, when the above compression methods compress the wavelet coefficients, there is a problem that the compression easily causes excessive loss of useful signals, thus affecting the processing effect of the wavelet transform.

[0066] In this embodiment, the compression threshold t of the wavelet transform coefficients of each layer is j The calculation formula is:

[0067] ;

[0068] Wherein, the compression operation is: if the W 1j (a, b) is greater than the compression threshold t j , then keep the W 1j (a, b), otherwise W 1j (a, b) are assigned 0;

[0069] In this step, the real-time radar monitoring data before and after filtering are decomposed into the same number of layers, and then the wavelet transform coefficients of each layer are compared. The wavelet transform coefficients of each layer of the data before and after filtering are compared as the compression threshold, which is equivalent to setting a compression threshold for each layer of wavelet coefficients, and the compression threshold is only related to the wavelet coefficients of this layer. In this way, the accuracy of wavelet coefficient setting is improved, thereby improving the accuracy of wavelet transform filtering.

[0070] S2.e: reconstructing the signal of each layer of wavelet transform coefficients after the compression operation, so as to realize filtering processing of the real-time radar monitoring data of the ship.

[0071] At the same time, S2 further includes: processing the real-time radar monitoring data of the ship to obtain the distance d between the ship and the second ship, and when the real-time radar monitoring data of the ship indicates that the distance between the ship and the second ship is gradually decreasing, it indicates that there is a collision risk at this time, and subsequent data processing operations are required to obtain the collision risk size;

[0072] S3: Acquire dynamic AIS data of the ship and the second ship;

[0073] AIS stands for Automatic Identification System, which can actively broadcast the ship's information to nearby ships and relevant maritime administrative agencies and effectively receive specific information of nearby ships, thus realizing ship-to-shore communication and ship-to-ship communication.

[0074] Wherein, S3 specifically includes: when the ship determines through S2 that the second ship exists in the channel area, the ship sends the AIS dynamic data of the ship to the second ship, and sends data request information to the second ship, requesting the second ship to feedback the dynamic AIS data, thereby the ship obtains the dynamic AIS data of the second ship;

[0075] In fact, the AIS system includes a lot of information, such as ship number, ship position, draft, speed, heading, ship type, length and width of the ship, etc. In this embodiment, the AIS dynamic data includes: ship position, ship speed, heading, the ship position is the longitude and latitude coordinates of the ship, and the dynamic AIS information contains a large amount of ship navigation and operation characteristics and position information. By processing the dynamic AIS information, the risk of ship collision can be effectively evaluated;

[0076] S4: Calculate the average speeds V1 and V2 of the ship and the second ship;

[0077] The average speeds V1 and V2 of the ship and the second ship are calculated by using the dynamic AIS data of the ship and the second ship acquired in S3;

[0078] Since the dynamic AIS data contains speed information, in this step, after the dynamic AIS data is obtained, the average speed of the ship and the second ship can be calculated;

[0079] In this step, the average speed is the average speed of the first ship and the second ship within one hour;

[0080] S5: Acquire a distance d between the ship and the second ship;

[0081] The radar can calculate the distance to the target object. Therefore, in this embodiment, the distance between the ship and the second ship is obtained by the radar.

[0082] S6: determining a processing method for the dynamic AIS data of the ship and the second ship according to the average speed of the ship and the second ship and the distance between the ship and the first ship, and obtaining the processed dynamic AIS data of the ship and the second ship;

[0083] Among them, as attached Figure 4 As shown, the S6 is specifically:

[0084] S6.1: Calculate the maximum risk collision factor s between the ship and the second ship;

[0085] The maximum risk collision factor s between the ship and the second ship is defined as the time when the ship and the second ship are traveling towards each other and the collision between the ship and the second ship occurs;

[0086] Specifically, the calculation formula of the maximum risk collision factor s between the first ship and the second ship is:

[0087] ;

[0088] S6.2: Determine the relationship between the maximum risk collision factor s of the ship and the second ship and the preset collision factor. If the maximum risk collision factor s of the ship and the second ship is greater than the preset collision factor, proceed to S6.3; otherwise, proceed to S6.4:

[0089] Wherein, in this embodiment, the preset collision factor is 0.5h;

[0090] S6.3: Processing the dynamic AIS data of the ship and the second ship using a first data processing method;

[0091] If the maximum risk collision factor s between the first ship and the second ship is greater than the preset collision factor, it means that the collision event between the first ship and the second ship is relatively long. At this time, there is more time to perform corresponding track prediction and collision avoidance operations.

[0092] Therefore, the S6.3 specifically includes: dividing the dynamic AIS data of the ship and the second ship into m data sets with 60s of data as one data set;

[0093] S6.4: Processing the dynamic AIS data of the ship and the second ship using a second data processing method;

[0094] If the maximum risk collision factor s between the ship and the second ship is greater than the preset collision factor, it means that the collision event between the ship and the second ship is relatively short, and the collision risk needs to be predicted as soon as possible.

[0095] Therefore, the S6.4 specifically includes: dividing the dynamic AIS data of the ship and the second ship into n data sets, with 10s of data as one data set;

[0096] In this step, since the dynamic AIS information contains more data, when the deep learning model is used to process the dynamic AIS data, the model operation time is long and the requirements for the computing equipment are high. Therefore, this embodiment determines the data set size of the dynamic AIS information according to the maximum risk collision factor of the ship and the second ship and the preset collision factor, thereby improving the prediction efficiency of the ship collision risk.

[0097] S7: inputting the data set into the collision risk prediction model to obtain the collision risk size;

[0098] The collision risk prediction model is a first collision risk prediction model and a second collision risk prediction model, wherein the first collision risk prediction model is to train and predict m data sets processed by a first data processing method; that is, the first collision risk prediction model is to train the first m-1 data sets, and then the mth data set is input into the trained first collision risk prediction model to obtain the collision risk size; it is worth noting that the first m-1 data sets need to be annotated by professionals for the collision risk size in order to realize the training of the model;

[0099] The second collision risk prediction model trains and predicts the n data sets processed by the second data processing method; that is, the second collision risk prediction model trains the first n-1 data sets, and then inputs the nth data set into the trained second collision risk prediction model to obtain the collision risk size; it is worth noting that the first n-1 data sets need to be annotated by professionals for the collision risk size in order to realize the training of the model;

[0100] It is worth emphasizing that the first collision risk prediction model and the second collision risk prediction model are both long short-term memory network models.

[0101] S8: Displaying the collision risk on a ship operation information display screen.

[0102] Embodiment 2: This embodiment includes a ship information display system, which adopts a ship information display method of embodiment 1, and the system includes:

[0103] A real-time radar monitoring data acquisition module, used to acquire the real-time radar monitoring data of the ship;

[0104] A real-time radar monitoring data processing module, used for filtering the real-time radar monitoring data of the ship, and proceeding to the next step when a second ship appears in the channel area of ​​the ship and the distance between the ship and the second ship is reduced;

[0105] A dynamic AIS data acquisition module, used to acquire dynamic AIS data of the ship and the second ship;

[0106] An average speed calculation module, used to calculate the average speeds V1 and V2 of the ship and the second ship;

[0107] A ship distance determination module, used to obtain the distance d between the ship and the second ship;

[0108] a dynamic AIS data processing module, used to determine a processing method of the dynamic AIS data of the ship and the second ship according to the average speed of the ship and the second ship and the distance between the ship and the first ship, and obtain the processed dynamic AIS data of the ship and the second ship;

[0109] A collision risk size calculation module, used for inputting the data set into the collision risk prediction model to obtain the collision risk size;

[0110] The display module is used to display the collision risk on a ship operation information display screen.

[0111] Embodiment 3: This embodiment includes a computer-readable storage medium, on which a data processing program is stored. The data processing program is executed by a processor to perform various steps of a method for displaying information for a ship in embodiment 1.

[0112] It should be understood by those skilled in the art that the embodiments of this article can be provided as methods, devices (equipment), or computer program products. Therefore, this article can adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Including but not limited to RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital versatile disk (DVD) or other optical disk storage, magnetic cassette, tape, disk storage or other magnetic storage device, or any other medium that can be used to store desired information and can be accessed by a computer. In addition, it is well known to those of ordinary skill in the art that communication media generally contain computer-readable instructions, data structures, program modules, or other data in modulated data signals such as carrier waves or other transmission mechanisms, and may include any information delivery medium.

[0113] This document is described with reference to flowcharts and / or block diagrams of methods, apparatuses (devices), and computer program products according to the embodiments of this document. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0114] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0115] The embodiments and / or implementation methods described above are only used to illustrate the preferred embodiments and / or implementation methods of the technology of the present invention, and are not intended to impose any formal restrictions on the implementation methods of the technology of the present invention. Any person skilled in the art may make some changes or modifications to other equivalent embodiments without departing from the scope of the technical means disclosed in the content of the present invention, but they should still be regarded as the technology or embodiments that are essentially the same as the present invention. Note that the above are only preferred embodiments of the present invention and the technical principles used. Those skilled in the art will understand that the present invention is not limited to the specific embodiments described here, and that various obvious changes, readjustments and substitutions can be made to those skilled in the art without departing from the scope of protection of the present invention. Therefore, although the present invention is described in more detail through the above embodiments, the present invention is not limited to the above embodiments, and may also include more other equivalent embodiments without departing from the concept of the present invention, and the scope of the present invention is determined by the scope of the appended claims.

Claims

1. A method for displaying information for a ship, characterized in that: The method comprises the following steps: S1: Acquire real-time radar monitoring data of the ship; S2: filtering the real-time radar monitoring data of the ship, and when a second ship appears in the channel area of ​​the ship and the distance between the ship and the second ship is reduced, proceeding to the next step; The filtering process for the real-time radar monitoring data of the ship is specifically as follows: S2.a: Decompose the real-time radar monitoring data of the ship into c layers through wavelet transform, and obtain the wavelet transform coefficient W of each layer 1j (a, b); S2.b: performing a filtering operation on the real-time radar monitoring data of the ship to obtain the real-time radar monitoring data after filtering; S2.c: Decompose the filtered real-time radar monitoring data into c layers through wavelet transform to obtain the wavelet transform coefficient W of each layer. 2j (a, b); S2.d: Determine the compression threshold t of the wavelet transform coefficients of each layer j , and compress the wavelet transform coefficients of each layer; S2.e: reconstructing the signal of each layer of wavelet transform coefficients after the compression operation, so as to realize filtering processing of the real-time radar monitoring data of the ship; S3: Acquire dynamic AIS data of the ship and the second ship; S4: Calculate the average speeds V1 and V2 of the ship and the second ship; S5: Acquire a distance d between the ship and the second ship; S6: determining a processing method for the dynamic AIS data of the ship and the second ship according to the average speed of the ship and the second ship and the distance between the ship and the first ship, and obtaining the processed dynamic AIS data of the ship and the second ship; S6.3 specifically includes: dividing the dynamic AIS data of the ship and the second ship into m data sets, with 60 seconds of data as one data set; S7: inputting the data set into a collision risk prediction model to obtain a collision risk magnitude; S8: Displaying the collision risk on a ship operation information display screen.

2. The ship information display method according to claim 1, characterized in that: The compression threshold t of the wavelet transform coefficient of each layer j The calculation formula is: 。 3. The ship information display method according to claim 1, characterized in that: The S6 is specifically: S6.1: Calculate the maximum risk collision factor s between the ship and the second ship; S6.2: Determine the relationship between the maximum risk collision factor s of the ship and the second ship and the preset collision factor. If If the maximum risk collision factor s between the first ship and the second ship is greater than the preset collision factor, then the process proceeds to S6.3; otherwise, the process proceeds to S6.4; S6.3: Processing the dynamic AIS data of the ship and the second ship using a first data processing method; S6.4: Process the dynamic AIS data of the ship and the second ship using a second data processing method.

4. The ship information display method according to claim 3, characterized in that: In S6.1, the calculation formula for the maximum risk collision factor s between the first ship and the second ship is: 。 5. The ship information display method according to claim 3, characterized in that: In S6.1, the preset collision factor is 0.5h.

6. The ship information display method according to claim 3, characterized in that: The S6.4 specifically includes: dividing the dynamic AIS data of the ship and the second ship into n data sets, with 10s of data as one data set.

7. The ship information display method according to claim 1, characterized in that: In S1, the radar is a pulse radar.

8. The ship information display method according to claim 7, characterized in that: The pulse radar is composed of an antenna, a transmitter, a duplexer, a timer, a receiver and a display and control terminal.

9. The ship information display method according to claim 1, characterized in that: In S2.b, the real-time radar monitoring data is filtered through radar constant false alarm data processing.

10. A ship information display system, characterized in that: The system adopts a ship information display method according to any one of claims 1 to 9, and the system comprises: A real-time radar monitoring data acquisition module, used to acquire the real-time radar monitoring data of the ship; A real-time radar monitoring data processing module, used for filtering the real-time radar monitoring data of the ship, and proceeding to the next step when a second ship appears in the channel area of ​​the ship and the distance between the ship and the second ship is reduced; A dynamic AIS data acquisition module, used to acquire dynamic AIS data of the ship and the second ship; An average speed calculation module, used to calculate the average speeds V1 and V2 of the ship and the second ship; A ship distance determination module, used to obtain the distance d between the ship and the second ship; a dynamic AIS data processing module, used to determine a processing method for the dynamic AIS data of the ship and the second ship according to the average speed of the ship and the second ship and the distance between the ship and the first ship, and obtain the processed dynamic AIS data of the ship and the second ship; A collision risk size calculation module, used for inputting the data set into the collision risk prediction model to obtain the collision risk size; The display module is used to display the collision risk on a ship operation information display screen.

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