Analysis methods and devices for sea area and port operating conditions, and electronic equipment

Abstract

The present invention discloses a method and device for analyzing sea port operating conditions, as well as electronic equipment. The method comprises: obtaining basic data, ship response files, and mooring arrangement data within the target port, and setting model parameters of a mooring model; receiving N two-dimensional wave fields and inputting them into the mooring model; receiving the mooring force, fender force, and ship motion associated with each two-dimensional wave field output by the mooring model; determining safe wave conditions and dangerous wave conditions based on the mooring force, fender force, and ship motion; and determining whether there is an operational risk in performing port operations at each forecast time based on the relationship between the wave data at each forecast time and the critical surface, thereby obtaining an operational condition determination result. The present invention solves the technical problem in the related art that, when using mooring analysis software to analyze sea port operating conditions, it is impossible to perform operational condition analysis on long-period wave sea port operations where there is a lack of measured data or less measured data.

Description

Technical Field

[0001] The present invention relates to the technical field of sea port engineering, and in particular to a method and device for analyzing sea port operating conditions, and electronic equipment. Background Art

[0002] Seaports are the "barometer" of the macro-economy. Port production conditions can reflect the macro-economic operation trends to a certain extent. Seaport operating conditions, as an important reference factor in seaport operations, will affect ship berthing operations, cargo loading and unloading scheduling, etc., and thus affect port cargo throughput and economic growth benefits.

[0003] Related technologies lack analysis of port operations in sea areas with long period waves. For ports in sea areas without long period waves, it is usually necessary to know the design wave elements and use mooring analysis software to analyze the operating conditions. However, this method has the following disadvantages: the mooring analysis software is a static model and is only applicable to ports in sea areas without long period waves, but not to the analysis of port operations in sea areas with simulated long period waves; detailed wave data and design wave heights are required; and future operating conditions cannot be predicted.

[0004] To address the above-mentioned problems, no effective solutions have been proposed so far. Summary of the Invention

[0005] The embodiments of the present invention provide a method and device for analyzing sea port operating conditions, as well as electronic equipment, to at least solve the technical problem in related technologies that, when using mooring analysis software to analyze sea port operating conditions, it is impossible to analyze the operating conditions of long-period wave sea port operations where there is a lack of measured data or less measured data.

[0006] According to one aspect of an embodiment of the present invention, a method for analyzing sea port operating conditions is provided, comprising: obtaining basic data, a ship response file, and mooring arrangement data in a target port, and setting model parameters of a mooring model based on the basic data, the ship response file, and the mooring arrangement data; receiving N two-dimensional wave fields, and inputting the N two-dimensional wave fields into the mooring model, wherein each two-dimensional wave field is a wave field of each predetermined point in front of a dock in the target port, and N is a positive integer greater than 1; receiving mooring forces, fender forces, and ship motion associated with each two-dimensional wave field output by the mooring model; determining safe wave conditions and dangerous wave conditions based on the mooring forces, the fender forces, and the ship motion, wherein a critical surface is formed at the intersection of the safe wave conditions and the dangerous wave conditions; and determining whether there is an operational risk in performing port operations at each forecast time based on a relationship between the wave data at each forecast time and the critical surface, thereby obtaining an operational condition determination result.

[0007] Optionally, the analysis method of sea area port operating conditions also includes: obtaining historical wave data at each deep-sea point, wherein the historical wave data includes: historical wave height, historical period, and historical wave direction; importing the historical wave data into a three-dimensional graph; partitioning the data in the three-dimensional graph according to the distribution density and distribution range of the historical wave data in the three-dimensional graph to obtain a port partition set; selecting a wave condition at the center position of each port partition in the port partition set; and combining the wave conditions selected for each of the port partitions to determine M wave conditions initiated at any deep-sea point of the target port, wherein M is a positive integer greater than or equal to 1.

[0008] Optionally, after determining the M wave conditions initiated at any deep-sea point of the target port, the method further includes: obtaining basic data of a spectral wave model, wherein the basic data of the spectral wave model includes: terrain data within the port; using a grid generator to create an unstructured triangular mesh based on the terrain data within the port; setting model parameters of the spectral wave model based on the unstructured triangular mesh; inputting M wave conditions initiated at a point at a specified isobath distance outside the target port into the spectral wave model; and receiving wave values ​​of each predetermined point in front of the wharf output by the spectral wave model.

[0009] Optionally, after receiving the wave values ​​of each predetermined point in front of the wharf output by the spectral wave model, it also includes: obtaining basic data of the wave model in the harbor, wherein the basic data of the wave model in the harbor include: model boundary data and harbor terrain data; based on the harbor terrain data, using a grid generator to produce a quadrilateral grid; based on the model boundary data, setting a sponge layer at the incident boundary, and setting a porous layer outside the land boundary, wherein the sponge layer is used to absorb excess wave energy of ocean waves and the incident boundary, and the porous layer is used to characterize the reflection characteristics of different types of structures on the land boundary; setting model parameters of the wave model in the harbor based on the quadrilateral grid, the sponge layer and the porous layer; inputting the wave values ​​of each predetermined point in front of the wharf into the wave model in the harbor; receiving the two-dimensional wave field associated with each wave condition output by the wave model in the harbor, and obtaining N two-dimensional wave fields.

[0010] Optionally, the step of obtaining basic data, ship response files and mooring arrangement data in the target port includes: obtaining a ship grid file, draft, dock water depth and load conditions of each ship in the target port to obtain the basic data; using a frequency response module to determine the ship response file of each ship in the target port; obtaining fender arrangement data, mooring cable arrangement data and bollard arrangement data of each ship in the target port to obtain the mooring arrangement data.

[0011] Optionally, the step of determining safe wave conditions and dangerous wave conditions based on the mooring force, the fender force and the ship motion includes: obtaining a ship motion standard, a cable load standard and a fender load standard; comparing the ship motion with the ship motion standard, comparing the mooring force with the cable load standard, and comparing the fender force with the fender load standard to obtain a comparison result; based on the comparison result, determining that the wave condition that exceeds the standard condition is the dangerous wave condition, and determining the remaining wave conditions as the safe wave conditions.

[0012] Optionally, based on the relationship between the wave data at each forecast moment and the critical surface, the step of determining whether there is an operational risk in performing port operations at each forecast moment includes: obtaining terrain parameters within the target port, and setting model parameters of the wave model based on the terrain parameters, wherein the terrain parameters include at least: terrain range, multiple terrain block grids and grid size; obtaining forecast data at each forecast moment, and inputting the forecast data into the wave model; receiving wave data associated with each forecast moment output by the wave model, wherein the wave data includes: wave height, period, and wave direction; importing the wave data into a three-dimensional graph, and based on the relationship between the wave data at each forecast moment and the critical surface in the three-dimensional graph, determining whether there is an operational risk in performing port operations at each forecast moment.

[0013] According to another aspect of an embodiment of the present invention, a device for analyzing sea port operating conditions is provided, comprising: an acquisition unit for acquiring basic data, a ship response file, and mooring arrangement data within a target port, and setting model parameters of a mooring model based on the basic data, the ship response file, and the mooring arrangement data; a first receiving unit for receiving N two-dimensional wave fields and inputting the N two-dimensional wave fields into the mooring model, wherein each two-dimensional wave field is a wave field of a predetermined point in front of a dock within the target port, and N is a positive integer greater than 1; a second receiving unit for receiving the mooring force, the fender force, and the ship motion associated with each two-dimensional wave field output by the mooring model; a determination unit for determining safe wave conditions and dangerous wave conditions based on the mooring force, the fender force, and the ship motion, wherein a critical surface is formed at the intersection of the safe wave condition and the dangerous wave condition; and a determination unit for determining whether there is an operational risk in performing port operations at each forecast time based on a relationship between the wave data at each forecast time and the critical surface, thereby obtaining an operational condition determination result.

[0014] Optionally, the analysis device for sea area port operating conditions also includes: a first acquisition module, used to obtain historical wave data at each deep-sea point, wherein the historical wave data includes: historical wave height, historical period, and historical wave direction; a first import module, used to import the historical wave data into a three-dimensional map; a first partitioning module, used to partition the data in the three-dimensional map according to the distribution density and distribution range of the historical wave data in the three-dimensional map to obtain a port partition set; a first selection module, used to select a wave condition at the center position of each port partition in the port partition set; a first determination module, used to integrate the wave conditions selected by each of the port partitions to determine M wave conditions initiated at any deep-sea point of the target port, wherein M is a positive integer greater than or equal to 1.

[0015] Optionally, the analysis device for sea port operating conditions also includes: a second acquisition module, used to obtain basic data of a spectral wave model after determining M wave conditions initiated at any deep-sea point of the target port, wherein the basic data of the spectral wave model includes: port terrain data; a first production module, used to use a grid generator to produce an unstructured triangular mesh based on the port terrain data; a first setting module, used to set model parameters of the spectral wave model based on the unstructured triangular mesh; a first input module, used to input M wave conditions initiated at a point at a specified isobath distance outside the target port into the spectral wave model; and a first receiving module, used to receive wave values ​​of predetermined points in front of the wharf output by the spectral wave model.

[0016] Optionally, the analysis device for sea port operating conditions further includes: a third acquisition module, configured to obtain basic data of the port wave model after receiving the wave values ​​of each predetermined point in front of the wharf output by the spectral wave model, wherein the basic data of the port wave model includes: model boundary data and port terrain data; a second production module, configured to use a grid generator to produce a quadrilateral grid based on the port terrain data; a second setting module, configured to set a sponge layer at the incident boundary and a porous layer outside the land boundary based on the model boundary data, wherein the sponge layer is used to absorb excess wave energy of sea waves and the incident boundary, and the porous layer is used to characterize the reflection characteristics of different types of structures on the land boundary; a third setting module, configured to set model parameters of the port wave model based on the quadrilateral grid, the sponge layer and the porous layer; a second input module, configured to input the wave values ​​of each predetermined point in front of the wharf into the port wave model; and a first association module, configured to receive the two-dimensional wave field associated with each wave condition output by the port wave model to obtain the N two-dimensional wave fields.

[0017] Optionally, the acquisition unit includes: a fourth acquisition module, used to acquire the ship type grid file, draft, dock water depth and load conditions of each ship in the target port to obtain the basic data; a second determination module, used to determine the ship response file of each ship in the target port using a frequency response subunit; and a fifth acquisition module, used to acquire fender arrangement data, mooring arrangement data, and bollard arrangement data of each ship in the target port to obtain the mooring arrangement data.

[0018] Optionally, the determination unit includes: a sixth acquisition module, used to obtain the ship motion standard, the cable load standard and the fender load standard; a first comparison module, used to compare the ship motion with the ship motion standard, compare the mooring force with the cable load standard, and compare the fender force with the fender load standard to obtain a comparison result; and a second determination module, used to determine, based on the comparison result, that the wave condition that exceeds the standard condition is the dangerous wave condition, and the remaining wave conditions are determined as the safe wave conditions.

[0019] Optionally, the determination unit includes: a seventh acquisition module, used to obtain terrain parameters within the target port, and set model parameters of the wave model based on the terrain parameters, wherein the terrain parameters include at least: terrain range, multiple terrain block grids and grid size; an eighth acquisition module, used to obtain forecast data at each forecast time, and input the forecast data into the wave model; a second receiving module, used to receive wave data associated with each forecast time output by the wave model, wherein the wave data includes: wave height, period, and wave direction; a first determination module, used to import the wave data into a three-dimensional graph, and based on the relationship between the wave data at each forecast time and the critical surface in the three-dimensional graph, determine whether there is an operational risk in performing port operations at each forecast time.

[0020] According to another aspect of an embodiment of the present invention, an electronic device is also provided, comprising: a processor; and a memory for storing executable instructions of the processor; wherein the processor is configured to execute any one of the above-mentioned methods for analyzing sea port operating conditions by executing the executable instructions.

[0021] According to another aspect of an embodiment of the present invention, a computer-readable storage medium is also provided, which includes a stored computer program, wherein when the computer program is running, the device where the computer-readable storage medium is located is controlled to execute any of the above-mentioned methods for analyzing sea port operating conditions.

[0022] In the present application, the following steps are adopted: obtaining basic data, ship response files and mooring arrangement data in the target port, and setting model parameters of the mooring model based on the basic data, ship response files and mooring arrangement data; receiving N two-dimensional wave fields, and inputting the N two-dimensional wave fields into the mooring model, wherein each two-dimensional wave field is the wave field of each predetermined point in front of the dock in the target port, and N is a positive integer greater than 1; receiving the mooring force, fender force and ship motion associated with each two-dimensional wave field output by the mooring model; determining safe wave conditions and dangerous wave conditions based on the mooring force, fender force and ship motion, wherein a critical surface is formed at the intersection of the safe wave condition and the dangerous wave condition; based on the relationship between the wave data at each forecast time and the critical surface, determining whether there is an operation risk in performing port operations at each forecast time, and obtaining an operation condition determination result.

[0023] In this application, for ports in long-period wave sea areas that lack measured data or have less measured data, a dynamic mooring model is constructed based on the obtained parameters, and the input conditions are the actual wave field. This can better reflect the actual port operation conditions in long-period wave sea areas, and predict future port operation conditions, thereby improving calculation accuracy, thereby solving the technical problem in related technologies that when using mooring analysis software to analyze sea area port operation conditions, it is impossible to perform operation condition analysis on the port operation conditions in long-period wave sea areas that lack measured data or have less measured data. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] The drawings described herein are used to provide a further understanding of the present invention and constitute a part of this application. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings:

[0025] Figure 1 1 is a schematic diagram of an optional method for analyzing sea port operating conditions according to an embodiment of the present invention;

[0026] Figure 2 This is a flow chart of an optional method for analyzing sea port operating conditions according to an embodiment of the present invention;

[0027] Figure 3 1 is a schematic diagram of an optional device for analyzing sea area and port operating conditions according to an embodiment of the present invention;

[0028] Figure 4 This is a hardware structure diagram of an electronic device (or mobile device) for analyzing sea port operating conditions according to an embodiment of the present invention. DETAILED DESCRIPTION

[0029] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions 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 embodiments described are only 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 making creative efforts should fall within the scope of protection of the present invention.

[0030] It should be noted that the terms "first", "second", etc. in the description and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that the numbers used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0031] To facilitate those skilled in the art to understand the present invention, some terms or nouns involved in the embodiments of the present invention are explained below:

[0032] WW3, short for WaveWatch 3, represents the third-generation ocean wave model, which is widely used in global and regional ocean wave operational forecasts and has the advantages of good stability and high computational accuracy.

[0033] In marine engineering, when there is a lack of data, historical weather data is used to deduce the design wave elements.

[0034] MIKE21 is an engineering software package used to simulate currents, waves, sediments and environments in rivers, lakes, estuaries, bays, coasts and oceans.

[0035] The MIKE21SW model is used for hindcasting and forecasting ocean wave conditions. It includes a wind-wave spectrum model (spectral wave model) that describes the propagation, development, and attenuation of shortwaves in nearshore areas. The model accounts for wave refraction at different water depths, wind-generated waves, and wave energy dissipation due to bottom roughness and wave breaking.

[0036] CFSR data, short for the NCEP Climate Forecast System Reanalysis, is generated by the Global Climate Forecast System. CFSR has different spatial and temporal resolutions for different variables. In the present invention, the atmospheric resolution can be set to approximately 38 km (0.3°), with 64 vertical layers down to 0.26 hPa (hectopascals). The global ocean resolution is 0.25° at the equator, expanding to 0.5° beyond the tropics, with 40 vertical layers down to a depth of 4,737 meters. In terms of temporal resolution, there are 6-hour reanalysis fields and 1-hour forecast fields. CFSR provides spatial resolutions including, but not limited to, 0.3°, 0.5°, 1°, and 2.5°, and temporal resolutions including, but not limited to, 1 hour and 6 hours.

[0037] The present invention can be applied to analysis systems / products of various sea area and port operating conditions, especially for sea areas affected by long-period waves with a lack of measured data or less measured data. Through a series of methods such as multiple mathematical models and characteristic analysis in the fields of ocean and port, a critical surface is formed according to the first and last reports, and then the future operating conditions of the sea area and port are judged through three-dimensional graphs.

[0038] The present invention is described in detail below with reference to various embodiments.

[0039] Example 1

[0040] According to an embodiment of the present invention, an embodiment of a method for analyzing operating conditions of sea ports is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0041] Figure 1 FIG. 1 is a schematic diagram of an optional method for analyzing sea port operating conditions according to an embodiment of the present invention, such as Figure 1 As shown, the method includes the following steps:

[0042] Step S101, obtaining basic data, ship response files and mooring arrangement data in the target port, and setting model parameters of the mooring model based on the basic data, ship response files and mooring arrangement data;

[0043] Step S102: receiving N two-dimensional wave fields and inputting the N two-dimensional wave fields into a mooring model, wherein each two-dimensional wave field is a wave field of a predetermined point in front of a pier in a target port, and N is a positive integer greater than 1;

[0044] Step S103, receiving the mooring force, fender force and ship motion associated with each two-dimensional wave field output by the mooring model;

[0045] Step S104, determining safe wave conditions and dangerous wave conditions based on the mooring force, fender force, and ship motion, wherein the intersection of the safe wave condition and the dangerous wave condition forms a critical surface;

[0046] Step S105 , based on the relationship between the wave data at each forecast time and the critical surface, it is determined whether there is an operation risk in performing port operations at each forecast time, and an operation condition determination result is obtained.

[0047] Through the above steps, N two-dimensional wave fields are received and input into the mooring model, wherein each two-dimensional wave field is a wave field of a predetermined point in front of the dock in the target port, and N is a positive integer greater than 1; the mooring force, fender force, and ship motion associated with each two-dimensional wave field output by the mooring model are received; based on the mooring force, fender force, and ship motion, safe wave conditions and dangerous wave conditions are determined, wherein a critical surface is formed at the intersection of the safe wave condition and the dangerous wave condition; based on the relationship between the wave data at each forecast time and the critical surface, whether there is an operational risk in performing port operations at each forecast time is determined, and an operational condition determination result is obtained. In this embodiment, for ports in long-period wave sea areas with a lack of measured data or a small amount of measured data, a dynamic mooring model is constructed based on the obtained parameters, and the input condition is the actual wave field, which can better reflect the actual port operation conditions and improve the calculation accuracy, thereby solving the technical problem in the related art that mooring analysis software cannot analyze the port operation conditions in long-period wave sea areas with a lack of measured data or a small amount of measured data when analyzing sea area port operation conditions.

[0048] The following describes the above steps in detail.

[0049] Step S101: acquiring basic data, ship response files and mooring arrangement data in a target port, and setting model parameters of a mooring model based on the basic data, ship response files and mooring arrangement data.

[0050] In this embodiment, the step of obtaining basic data, ship response files, and mooring arrangement data in the target port includes: obtaining a ship grid file, draft, dock water depth, and load conditions of each ship in the target port to obtain basic data; using a frequency response module to determine the ship response file of each ship in the target port; and obtaining fender arrangement data, mooring cable arrangement data, and bollard arrangement data of each ship in the target port to obtain mooring arrangement data.

[0051] It should be noted that the movement of moored ships and the cable force and impact force are not only related to the wave period, wave height and wave direction, but also depend on the frequency response characteristics of the ship. If the wave train contains a large number of sub-waves close to the ship's sensitive response frequency, the moored ship may produce resonance or secondary vibration, resulting in violent movement of the ship, causing considerable cable force and impact force. Therefore, when setting the model parameters of the mooring model, it is necessary to obtain not only the basic data of the port including: 3D ship mesh file, draft, port terminal water depth, load conditions, etc.; mooring layout data including but not limited to fender layout (reasonable selection of fenders can not only ensure the safety of the terminal and ship, but also the stability of the ship and the mooring system). Safety, and can improve the stress state of the dock structure), mooring cable arrangement (the ship's mooring cable can be divided into head cable, stern cable, front fall cable, rear fall cable, front transverse cable and rear transverse cable, etc. according to its position, cable-out direction and function), bollard arrangement (the plane-arranged mooring columns include but are not limited to: ordinary bollards and storm bollards. The bollard arrangement should be considered in conjunction with the dock structure section and arranged symmetrically. In order to prevent the movement of the ship along the longitudinal axis, the mooring column arrangement should make the angle between the bow and stern cables and the longitudinal axis of the ship smaller). It is also necessary to obtain the ship's frequency response characteristics in advance through the FRC module (frequency response module) to obtain the ship response file.

[0052] Step S102: receiving N two-dimensional wave fields and inputting the N two-dimensional wave fields into a mooring model, wherein each two-dimensional wave field is a wave field of a predetermined point in front of a pier in a target port.

[0053] It should be noted that when obtaining N two-dimensional wave fields, it includes: obtaining basic data of the in-harbor wave model, wherein the basic data of the in-harbor wave model include: model boundary data and in-harbor terrain data; based on the in-harbor terrain data, using a grid generator to produce a quadrilateral grid; based on the model boundary data, setting a sponge layer at the incident boundary, and setting a porous layer outside the land boundary, wherein the sponge layer is used to absorb excess wave energy of sea waves and the incident boundary, and the porous layer is used to characterize the reflection characteristics of different types of structures on the land boundary; setting model parameters of the in-harbor wave model based on the quadrilateral grid, the sponge layer and the porous layer; inputting the wave values ​​of each predetermined point in front of the wharf into the in-harbor wave model; receiving the two-dimensional wave field associated with each wave condition output by the in-harbor wave model, and obtaining N two-dimensional wave fields.

[0054] After collecting model boundary and terrain data, this embodiment creates a terrain file, a sponge layer file, and a pore layer file to construct a harbor wave model. Combined with the input wave values ​​at predetermined points in front of the dock, N two-dimensional wave fields can be generated. The harbor wave model can be established using the MIKE21 BW model. Basic data is collected to create terrain, sponge layer, and pore layer files. Terrain file creation involves creating a quadrilateral mesh using the Bathymetries mesh generator based on the collected terrain data. Sponge layer file creation involves creating a sponge layer at the incident boundary to absorb excess wave energy. Porous layer file creation involves creating a pore layer at the outermost layer of the land boundary to reflect reflection. In this embodiment, the land boundary can include berths, breakwaters, natural slopes, and other structures. A pore layer is created at the outermost layer of the land boundary. The created file is then used to create the pore layer file using a tool. The pore layer value ranges from 0.2 to 1. The pore layer is used to represent the reflection characteristics of different types of structures (e.g., berths, breakwaters, natural slopes, and other types of structures).

[0055] Acquiring wave values ​​at each predetermined point in front of the dock involves: obtaining basic data for the spectral wave model, which includes: port terrain data; generating an unstructured triangular mesh using a mesh generator based on the port terrain data; setting model parameters for the spectral wave model based on the unstructured triangular mesh; inputting M wave conditions initiated at a point at a specified depth contour outside the target port into the spectral wave model; and receiving the wave values ​​for each predetermined point output by the spectral wave model. The specified depth contour is set based on the specific conditions of each port. For example, M wave conditions initiated at a point at a 50m depth contour outside the target port are input into the spectral wave model.

[0056] The aforementioned port terrain data may include, but is not limited to, terrain maps and measured terrain data (e.g., terrain type, elevation, and contour). Based on the collected terrain data, an unstructured triangular mesh is generated using the Mesh Generator. Compared to structured meshes, unstructured triangular meshes are more adaptable to complex terrain and provide better boundary approximation.

[0057] Among them, unstructured grid means that the internal points in the grid area do not have the same adjacent units. Compared with structured grid, unstructured triangular grid can better adapt to complex terrain and has good boundary approximation effect.

[0058] The model parameters of the spectral wave model are set by the obtained unstructured triangular grid. Combined with the M wave conditions initiated at any deep-sea point, the wave values ​​of each predetermined point output by the spectral wave model can be obtained.

[0059] It should be noted that when obtaining M wave conditions initiated at any deep-sea point of the target port, it includes: obtaining historical wave data at each deep-sea point, wherein the historical wave data includes: historical wave height, historical period, and historical wave direction; importing the historical wave data into a three-dimensional graph; partitioning the data in the three-dimensional graph according to the distribution density and distribution range of the historical wave data in the three-dimensional graph to obtain a port partition set; selecting a wave condition at the center position of each port partition in the port partition set; and determining M wave conditions by combining the wave conditions selected for each port partition.

[0060] When obtaining historical wave data for each deep-sea point, the terrain range, grid size, and meteorological data at different times can be combined to determine the wave data for a certain period of time in the historical process. For example, at least 20 years of wave data can be obtained for deep-sea locations far away from the dock, and the results can be output every hour. The results include: historical wave height, historical period, and historical wave direction.

[0061] After obtaining all the wave data, it can be divided into M (e.g., 100-500) partitions based on the distribution density and range of historical wave height, historical period, and historical wave direction at each point. In this embodiment, the specific partition interval is not limited and can be set according to actual conditions. For example, the partition interval is set as follows: historical period 0.5-5s, historical wave height 0.1-0.5m, and historical wave direction 3-10°. A typical wave condition is selected at the center of each partition as a representative, ultimately obtaining M typical wave conditions.

[0062] Step S103: receiving the mooring force, fender force and ship motion associated with each two-dimensional wave field output by the mooring model.

[0063] The mooring mathematical model established based on the MIKE21MA model uses the wave field of each predetermined point in front of the dock in the target port provided by the results of the port wave model. N wave fields are calculated separately, and the final output is the mooring force, fender force and ship motion.

[0064] Step S104: determining safe wave conditions and dangerous wave conditions based on the mooring force, fender force and ship motion, wherein the intersection of the safe wave conditions and the dangerous wave conditions forms a critical surface.

[0065] In this embodiment, the steps of determining safe wave conditions and dangerous wave conditions based on the mooring force, fender force and ship motion include: obtaining the ship motion standard, the cable load standard and the fender load standard; comparing the ship motion with the ship motion standard, comparing the mooring force with the cable load standard, and comparing the fender force with the fender load standard to obtain a comparison result; based on the comparison result, determining that the wave conditions that exceed the standard conditions are dangerous wave conditions, and determining the remaining wave conditions as safe wave conditions.

[0066] Based on known standards for ship motion, cable load, and fender load, dangerous conditions among M working conditions (one condition represents one wave condition) are determined and displayed in a three-dimensional diagram. A critical surface is formed at the intersection of safe and dangerous wave conditions. If the wave field exceeds the critical surface at a certain moment, it is determined that there is an operational risk at that moment.

[0067] Step S105 , based on the relationship between the wave data at each forecast time and the critical surface, it is determined whether there is an operation risk in performing port operations at each forecast time, and an operation condition determination result is obtained.

[0068] The step of determining whether there is an operational risk in performing port operations at each forecast time based on the relationship between wave data at each forecast time and a critical surface includes: obtaining terrain parameters within a target port, and setting model parameters of a wave model based on the terrain parameters, wherein the terrain parameters include at least: a terrain range, a plurality of terrain block grids, and a grid size; obtaining forecast data at each forecast time, and inputting the forecast data into the wave model; receiving wave data associated with each forecast time output by the wave model, wherein the wave data includes: wave height, period, and wave direction; importing the wave data into a three-dimensional graph, and determining whether there is an operational risk in performing port operations at each forecast time based on the relationship between the wave data at each forecast time and the critical surface in the three-dimensional graph.

[0069] In this embodiment, based on terrain parameters (which vary from port to port in different sea areas, including but not limited to terrain range and grid size), combined with input global forecast data released by the Environmental Forecast Center, a wave model can be used to determine whether there are operational risks in port operations at each forecast time in the future. For example, the wave model outputs wave data for point P for the next three days, with one result output every hour, including wave height, period, and wave direction.

[0070] After obtaining wave data for each forecasted moment from the wave model, this data can be imported into a 3D graph to determine whether port operations at each forecasted moment present operational risks. For example, the wave model (forecast) wave data for point P over the next three days (one hourly data point, for a total of 72 data points) can be imported into the 3D graph. If the wave data at a given moment falls outside the critical surface, an operational risk is determined at that moment.

[0071] Figure 2 This is a flow chart of another optional method for analyzing sea area and port operating conditions according to an embodiment of the present invention. Figure 2 As shown, the analysis of port operating conditions in this sea area includes the following steps:

[0072] Step 1: Establish a mathematical model of offshore waves.

[0073] Based on topographic parameters (topography extent, grid size) and a driver file (CFSR reanalysis meteorological data), the WW3 wave model simulates the wave field at the target port (port terminal and surrounding sea area) for at least 20 years. This outputs at least 20 years of wave data for point P (corresponding to any of the deep-sea points mentioned above), with hourly results including historical wave heights, historical periods, and historical wave directions.

[0074] Step 2: Analyze the wave characteristics off the project area.

[0075] The wave data of point P (corresponding to any of the above-mentioned deep-sea points) output by the wave model for 20 years is imported into a three-dimensional stereogram. According to the distribution density and range of the wave height, period, and wave direction of each point, it is divided into N partitions (N is a positive integer greater than or equal to 1. The specific value of N is not limited here, and can be 50, 100, etc.). The partition interval can be: period 0.5-5s, wave height 0.1-0.5m, wave direction 3-10°. A typical wave condition is selected at the center of each partition as a representative, and finally N typical wave conditions are obtained.

[0076] Step three: Establish offshore wind and wave model.

[0077] A nearshore wind and wave model can be established based on the MIKE21SW model spectrum wave model.

[0078] Data collection: Collect basic data, including topographic data, such as C-MAP (global topographic map), measured topographic data, etc.

[0079] Terrain file production: Based on the collected terrain data, use the mesh generator to produce unstructured triangular meshes;

[0080] Drive file: Calculate the M typical wave conditions at point P (corresponding to any of the above deep-sea points) obtained in step 2 respectively;

[0081] Result output: The wave values ​​of N points D (corresponding to the above-mentioned predetermined points) are obtained (as the boundary conditions of the BW model).

[0082] Step 4: Establish the harbor wave model.

[0083] The harbor wave model can be established based on the MIKE21 BW model.

[0084] Data collection: Collect basic data, including terrain data;

[0085] Terrain file production: Based on the collected terrain data, use the mesh generator to produce a quadrilateral mesh;

[0086] Sponge layer file preparation: set a sponge layer at the incident boundary to absorb excess wave energy;

[0087] Pore ​​layer file creation: Create a porous layer outside the land boundary to reflect the strength of the reflection. Land boundaries refer to berths, breakwaters, natural slopes, etc. A porous layer is created at the outermost layer of the land boundary. The created file is then converted into a porous layer file using the tool. The porous layer represents the reflection characteristics of different types of structures, with a value ranging from 0.2 to 1.

[0088] Drive file: The wave value (BW model boundary) at point D (corresponding to the above-mentioned predetermined point) obtained by the offshore wind and wave model is calculated separately for M wave conditions.

[0089] Result output: Output the two-dimensional wave field in front of the pier and obtain N wave fields.

[0090] Step 5: Establish a mooring mathematical model.

[0091] A mooring mathematical model can be established based on the MIKE21MA model.

[0092] Data collection: Collect basic data including 3D ship mesh files, draft, dock water depth, load conditions, etc.

[0093] Ship response file: The ship response file is obtained through the FRC module (frequency response module).

[0094] Mooring arrangement: including but not limited to fender arrangement (reasonable selection of fenders can not only ensure the safety of the dock and the ship, but also improve the stress state of the dock structure), mooring arrangement (the ship's mooring cables can be divided into head cables, stern cables, front fall cables, rear fall cables, front transverse cables and rear transverse cables, etc. according to their positions, cable-out directions and functions), bollard arrangement (planar arrangement of mooring posts includes but is not limited to: ordinary bollards and storm bollards. The arrangement of bollards should be considered in conjunction with the dock structure section and arranged symmetrically. In order to prevent the movement of the ship along the longitudinal axis, the arrangement of mooring posts should make the angle between the bow and stern cables and the longitudinal axis of the ship smaller).

[0095] Driver file: The two-dimensional wave field at point D in front of the pier is provided by the output results of the port wave model, and N wave fields are calculated separately.

[0096] Output results: Output mooring force, fender force, and ship motion.

[0097] Step 6: Determine dangerous working conditions.

[0098] Based on the known ship motion standards, cable load standards, and fender load standards, dangerous conditions among N working conditions (one working condition represents one wave condition) are determined and displayed in a three-dimensional diagram. A critical surface is formed at the intersection of safe wave conditions and dangerous wave conditions.

[0099] Step 7: Establish a mathematical model for forecasting open sea waves.

[0100] Terrain parameters: including terrain range, grid size, etc.

[0101] Driver file: Based on the global forecast data released by the Environmental Forecast Center, output the wave data of point P (corresponding to any of the deep-sea points mentioned above) for the next three days, and output a result every hour. The results include: wave height, period, and wave direction.

[0102] Step 8: Analysis of wave characteristics off the project area (forecast)

[0103] The wave data for the next three days at point P in the wave forecast mathematical model (one data per hour, a total of 72 data) are imported into the three-dimensional graph. If the wave data at a certain moment is outside the critical surface, it is determined that there is an operational risk at that moment.

[0104] Through the above-mentioned implementation method, for ports in long-period wave sea areas that lack measured data or have less measured data, a dynamic mooring model is constructed based on the obtained parameters, and the input condition is the actual wave field. This can better reflect the actual port operation conditions in long-period wave sea areas, and predict future port operation conditions, thereby improving calculation accuracy, thereby solving the technical problem in related technologies that when using mooring analysis software to analyze sea area port operation conditions, it is impossible to analyze the port operation conditions in long-period wave sea areas that lack measured data or have less measured data.

[0105] The present invention is described below in conjunction with another optional embodiment.

[0106] Example 2

[0107] This embodiment provides a device for analyzing sea area and port operating conditions. The device for analyzing sea area and port operating conditions includes various implementation units corresponding to the various implementation steps in the first embodiment.

[0108] Figure 3 Schematic diagram of an optional device for analyzing sea port operating conditions according to an embodiment of the present invention, such as Figure 3 As shown, it includes: an acquisition unit 30, a first receiving unit 32, a second receiving unit 34, a determination unit 36, and a judgment unit 38, wherein:

[0109] an acquisition unit 30 for acquiring basic data, a ship response file, and mooring arrangement data in a target port, and setting model parameters of a mooring model based on the basic data, the ship response file, and the mooring arrangement data;

[0110] a first receiving unit 32 for receiving N two-dimensional wave fields and inputting the N two-dimensional wave fields into the mooring model, wherein each two-dimensional wave field is a wave field of a predetermined point in front of the pier in the target port, and N is a positive integer greater than 1;

[0111] A second receiving unit 34 is configured to receive the mooring force, fender force, and ship motion associated with each two-dimensional wave field output by the mooring model;

[0112] a determination unit 36 ​​for determining a safe wave condition and a dangerous wave condition based on the mooring force, the fender force, and the vessel motion, wherein a critical surface is formed at the intersection of the safe wave condition and the dangerous wave condition;

[0113] The determination unit 38 is used to determine whether there is an operation risk in performing port operations at each forecast time based on the relationship between the wave data at each forecast time and the critical surface, and obtain an operation condition determination result.

[0114] The above-mentioned analysis device for sea area port operation conditions can obtain basic data, ship response files and mooring arrangement data in the target port through the acquisition unit 30, and set model parameters of the mooring model based on the basic data, ship response files and mooring arrangement data; receive N two-dimensional wave fields through the first receiving unit 32, and input the N two-dimensional wave fields into the mooring model, wherein each two-dimensional wave field is the wave field of each predetermined point in front of the dock in the target port, and N is a positive integer greater than 1; receive the mooring force, fender force and ship motion associated with each two-dimensional wave field output by the mooring model through the second receiving unit 34; determine safe wave conditions and dangerous wave conditions based on the mooring force, fender force and ship motion through the determination unit 36, wherein the intersection of the safe wave condition and the dangerous wave condition forms a critical surface; finally, through the determination unit 38, based on the relationship between the wave data at each forecast time and the critical surface, determine whether there is an operation risk in performing port operations at each forecast time, and obtain an operation condition determination result.

[0115] In this embodiment, for ports in long-period wave sea areas that lack measured data or have less measured data, a dynamic mooring model is constructed based on the obtained parameters, and the input condition is the actual wave field. This can better reflect the actual port operation conditions in long-period wave sea areas, predict future port operation conditions, and improve calculation accuracy, thereby solving the technical problem in related technologies that when using mooring analysis software to analyze sea area port operation conditions, it is impossible to analyze the port operation conditions in long-period wave sea areas that lack measured data or have less measured data.

[0116] Optionally, the analysis device for sea port operating conditions also includes: a second acquisition module, used to obtain basic data of the spectral wave model after determining M wave conditions initiated at any deep-sea point of the target port, wherein the basic data of the spectral wave model includes: port terrain data; a first production module, used to use a grid generator to produce an unstructured triangular mesh based on the port terrain data; a first setting module, used to set model parameters of the spectral wave model based on the unstructured triangular mesh; a first input module, used to input M wave conditions initiated at a point at a specified isobath distance outside the target port into the spectral wave model; and a first receiving module, used to receive the wave values ​​of each predetermined point in front of the wharf output by the spectral wave model.

[0117] Optionally, the analysis device for sea port operating conditions also includes: a third acquisition module, which is used to obtain basic data of the wave model in the port after receiving the wave values ​​of each predetermined point in front of the wharf output by the spectral wave model, wherein the basic data of the wave model in the port include: model boundary data and port terrain data; a second production module, which is used to use a grid generator to produce a quadrilateral grid based on the port terrain data; a second setting module, which is used to set a sponge layer at the incident boundary based on the model boundary data, and set a porous layer outside the land boundary, wherein the sponge layer is used to absorb excess wave energy of sea waves and the incident boundary, and the porous layer is used to characterize the reflection characteristics of different types of structures on the land boundary; a third setting module, which is used to set model parameters of the wave model in the port based on the quadrilateral grid, the sponge layer and the porous layer; a second input module, which is used to input the wave values ​​of each predetermined point in front of the wharf into the wave model in the port; and a first association module, which is used to receive the two-dimensional wave field associated with each wave condition output by the wave model in the port, and obtain N two-dimensional wave fields.

[0118] Optionally, the acquisition unit includes: a fourth acquisition module, used to acquire the ship type grid file, draft, dock water depth and load conditions of each ship in the target port to obtain basic data; a second determination module, used to use the frequency response subunit to determine the ship response file of each ship in the target port; and a fifth acquisition module, used to acquire the fender arrangement data, mooring arrangement data, and bollard arrangement data of each ship in the target port to obtain mooring arrangement data.

[0119] Optionally, the determination unit includes: a sixth acquisition module, used to obtain the ship motion standard, the cable load standard and the fender load standard; a first comparison module, used to compare the ship motion with the ship motion standard, compare the mooring force with the cable load standard, and compare the fender force with the fender load standard to obtain a comparison result; and a second determination module, used to determine, based on the comparison result, that the wave conditions that exceed the standard conditions are dangerous wave conditions, and the remaining wave conditions are determined as safe wave conditions.

[0120] Optionally, the determination unit includes: a seventh acquisition module, used to obtain terrain parameters within the target port, and set model parameters of the wave model based on the terrain parameters, wherein the terrain parameters include at least: terrain range, multiple terrain block grids and grid size; an eighth acquisition module, used to obtain forecast data at each forecast time, and input the forecast data into the wave model; a second receiving module, used to receive wave data associated with each forecast time output by the wave model, wherein the wave data includes: wave height, period, and wave direction; a first determination module, used to import the wave data into a three-dimensional graph, and based on the relationship between the wave data at each forecast time and the critical surface in the three-dimensional graph, determine whether there is an operational risk in performing port operations at each forecast time.

[0121] The above-mentioned analysis device for sea area port operating conditions may also include a processor and a memory. The above-mentioned acquisition unit 30, first receiving unit 32, second receiving unit 34, determination unit 36, judgment unit 38, etc. are all stored in the memory as program units, and the processor executes the above-mentioned program units stored in the memory to realize the corresponding functions.

[0122] The processor includes a kernel, which retrieves the corresponding program unit from memory. One or more kernels can be configured to construct a dynamic mooring model using the acquired parameters. The input conditions are the actual wave field, which can better reflect the actual situation and predict future port operating conditions, thereby improving calculation accuracy.

[0123] The above-mentioned memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM, and the memory includes at least one memory chip.

[0124] According to another aspect of an embodiment of the present invention, an electronic device is also provided, comprising: a processor; and a memory for storing executable instructions of the processor; wherein the processor is configured to execute any one of the above-mentioned methods for analyzing sea port operating conditions by executing the executable instructions.

[0125] According to another aspect of an embodiment of the present invention, a computer-readable storage medium is also provided, which includes a stored computer program, wherein when the computer program is running, the device where the computer-readable storage medium is located is controlled to execute any of the above-mentioned methods for analyzing sea port operating conditions.

[0126] The present application also provides a computer program product, which, when executed on a data processing device, is suitable for executing an initialization program having the following method steps: obtaining basic data, ship response files and mooring arrangement data in a target port, and setting model parameters of a mooring model based on the basic data, ship response files and mooring arrangement data; receiving N two-dimensional wave fields, and inputting the N two-dimensional wave fields into the mooring model, wherein each two-dimensional wave field is a wave field of each predetermined point in front of a dock in the target port, and N is a positive integer greater than 1; receiving the mooring force, fender force and ship motion associated with each two-dimensional wave field output by the mooring model; determining safe wave conditions and dangerous wave conditions based on the mooring force, fender force and ship motion, wherein a critical surface is formed at the intersection of the safe wave condition and the dangerous wave condition; based on the relationship between the wave data at each forecast time and the critical surface, determining whether there is an operation risk in performing port operations at each forecast time, and obtaining an operation condition determination result.

[0127] Figure 4 FIG. 1 is a hardware structure block diagram of an electronic device (or mobile device) for analyzing a method for sea port operation conditions according to an embodiment of the present invention. Figure 4 As shown, the electronic device may include one or more (402a, 402b, ..., 402n are shown in the figure) processors 402 (the processor 402 may include but is not limited to a processing device such as a microprocessor MCU or a programmable logic device FPGA), a memory 404 for storing data. In addition, it may also include: a display, an input / output interface (I / O interface), a universal serial bus (USB) port (which may be included as one of the ports of the I / O interface), a network interface, a keyboard, a power supply and / or a camera. It will be understood by those skilled in the art that Figure 4 The structure shown is only for illustration and does not limit the structure of the above electronic device. Figure 4 More or fewer components than shown, or with Figure 4 The serial numbers of the above embodiments of the present invention are for description only and do not represent the advantages or disadvantages of the embodiments.

[0128] The serial numbers of the above embodiments of the present invention are for description only and do not represent the advantages or disadvantages of the embodiments.

[0129] In the above embodiments of the present invention, the description of each embodiment has its own focus. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0130] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only exemplary. For example, the division of units can be a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0131] Units described as separate components may or may not be physically separate, and components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple units. Some or all of the units may be selected to achieve the purpose of the present embodiment according to actual needs.

[0132] In addition, the functional units in the various embodiments of the present invention may be integrated into a single processing unit, each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0133] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, server or network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, magnetic disk or optical disk, etc. Various media that can store program codes.

[0134] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present invention. These improvements and modifications should also be regarded as within the scope of protection of the present invention.

Claims

1. A method for analyzing sea port operating conditions, characterized in that: include: Acquiring basic data, a ship response file, and mooring arrangement data in a target port, and setting model parameters of a mooring model based on the basic data, the ship response file, and the mooring arrangement data; receiving N two-dimensional wave fields and inputting the N two-dimensional wave fields into the mooring model, wherein each two-dimensional wave field is a wave field of a predetermined point in front of the dock in the target port, and N is a positive integer greater than 1; receiving the mooring force, fender force and ship motion associated with each two-dimensional wave field output by the mooring model; determining a safe wave condition and a dangerous wave condition based on the mooring force, the fender force, and the ship motion, wherein a critical surface is formed at the intersection of the safe wave condition and the dangerous wave condition; Based on the relationship between the wave data at each forecast time and the critical surface, determining whether there is an operational risk in performing port operations at each forecast time, and obtaining an operational condition determination result; Obtaining historical wave data at each deep-sea point, wherein the historical wave data includes: historical wave height, historical period, and historical wave direction; importing the historical wave data into a three-dimensional graph; partitioning the data in the three-dimensional graph according to the distribution density and distribution range of the historical wave data in the three-dimensional graph to obtain a port partition set; selecting a wave condition at the center position of each port partition in the port partition set; and combining the wave conditions selected for each port partition to determine M wave conditions initiated at any deep-sea point of the target port, wherein M is a positive integer greater than or equal to 1; After determining M wave conditions initiated at any deep-sea point of the target port, the method further includes: obtaining basic data of a spectral wave model, wherein the basic data of the spectral wave model includes: terrain data within the port; using a grid generator to create an unstructured triangular mesh based on the terrain data within the port; setting model parameters of the spectral wave model based on the unstructured triangular mesh; inputting M wave conditions initiated at a point at a specified isobath distance outside the target port into the spectral wave model, wherein M is a positive integer greater than or equal to 1; and receiving wave values ​​of each predetermined point in front of the wharf output by the spectral wave model.

2. The analysis method according to claim 1, characterized in that After receiving the wave values ​​of each predetermined point in front of the wharf output by the spectral wave model, the method further includes: Acquiring basic data of the harbor wave model, wherein the basic data of the harbor wave model includes: model boundary data and harbor terrain data; Based on the port terrain data, a quadrilateral mesh is produced using a mesh generator; Based on the model boundary data, a sponge layer is set at the incident boundary, and a porous layer is set outside the land boundary, wherein the sponge layer is used to absorb excess wave energy between the ocean waves and the incident boundary, and the porous layer is used to characterize the reflection characteristics of different types of structures on the land boundary; Setting model parameters of the harbor wave model based on the quadrilateral grid, the sponge layer, and the pore layer; inputting the wave values ​​of each predetermined point in front of the wharf into the harbor wave model; The two-dimensional wave field associated with each wave condition output by the in-harbor wave model is received to obtain the N two-dimensional wave fields.

3. The analysis method according to claim 1, characterized in that The steps to obtain basic data, vessel response files, and mooring arrangement data within the target port include: Obtaining the ship type grid file, draft, dock water depth and load information of each ship in the target port to obtain the basic data; Determining a ship response file for each ship in the target port using a frequency response module; The fender arrangement data, mooring cable arrangement data, and bollard arrangement data of each ship in the target port are acquired to obtain the mooring arrangement data.

4. The analysis method according to claim 1, characterized in that The step of determining safe wave conditions and dangerous wave conditions based on the mooring force, the fender force, and the ship motion comprises: Obtain ship motion standards, cable load standards, and fender load standards; Comparing the ship motion with the ship motion standard, comparing the mooring force with the cable load standard, and comparing the fender force with the fender load standard to obtain a comparison result; Based on the comparison result, the wave conditions exceeding the standard conditions are determined as the dangerous wave conditions, and the remaining wave conditions are determined as the safe wave conditions.

5. The analysis method according to claim 1, characterized in that The step of determining whether there is an operational risk in performing port operations at each forecast time based on the relationship between the wave data at each forecast time and the critical surface comprises: Acquiring terrain parameters within the target port and setting model parameters of the wave model based on the terrain parameters, wherein the terrain parameters include at least: terrain range, multiple terrain block grids, and grid size; Obtaining forecast data at each forecast time, and inputting the forecast data into the ocean wave model; receiving wave data associated with each forecast moment output by the wave model, wherein the wave data includes: wave height, period, and wave direction; The wave data is imported into a three-dimensional graph, and based on the relationship between the wave data at each forecast time and the critical surface in the three-dimensional graph, it is determined whether there is an operation risk when performing port operations at each forecast time.

6. A device for analyzing sea area and port operating conditions, characterized in that: include: an acquisition unit, configured to acquire basic data, a ship response file, and mooring arrangement data in a target port, and set model parameters of a mooring model based on the basic data, the ship response file, and the mooring arrangement data; a first receiving unit, configured to receive N two-dimensional wave fields and input the N two-dimensional wave fields into the mooring model, wherein each two-dimensional wave field is a wave field of a predetermined point in front of the pier in the target port, and N is a positive integer greater than 1; a second receiving unit, configured to receive the mooring force, fender force, and ship motion associated with each two-dimensional wave field output by the mooring model; a determining unit, configured to determine a safe wave condition and a dangerous wave condition based on the mooring force, the fender force, and the ship motion, wherein a critical surface is formed at the intersection of the safe wave condition and the dangerous wave condition; a determination unit configured to determine whether there is an operational risk in performing port operations at each forecast time based on a relationship between the wave data at each forecast time and the critical surface, and obtain an operational condition determination result; The analysis device for sea area port operation conditions further includes: a first acquisition module for acquiring historical wave data at each deep sea point, wherein the historical wave data includes: historical wave height, historical period, and historical wave direction; a first import module for importing the historical wave data into a three-dimensional map; a first partitioning module for partitioning the data in the three-dimensional map according to the distribution density and distribution range of the historical wave data in the three-dimensional map to obtain a port partition set; a first selection module for selecting a wave condition at the center position of each port partition in the port partition set; and a first determination module for synthesizing the wave conditions selected by each port partition to determine M wave conditions initiated at any deep sea point of the target port, wherein M is a positive integer greater than or equal to 1; The analysis device for sea port operating conditions also includes: a second acquisition module, used to obtain basic data of a spectral wave model after determining M wave conditions initiated at any deep-sea point of the target port, wherein the basic data of the spectral wave model includes: port terrain data; a first production module, used to use a grid generator to produce an unstructured triangular mesh based on the port terrain data; a first setting module, used to set model parameters of the spectral wave model based on the unstructured triangular mesh; a first input module, used to input M wave conditions initiated at a point at a specified isobath distance outside the target port into the spectral wave model; and a first receiving module, used to receive wave values ​​of predetermined points in front of the wharf output by the spectral wave model.

7. An electronic device, characterized in that: include: processor; as well as a memory for storing executable instructions of the processor; Wherein, the processor is configured to execute the method for analyzing sea port operating conditions as described in any one of claims 1 to 5 by executing the executable instructions.

8. A computer-readable storage medium, characterized in that The computer-readable storage medium includes a stored computer program, wherein when the computer program is running, the device where the computer-readable storage medium is located is controlled to execute the method for analyzing sea port operating conditions as described in any one of claims 1 to 5.

Images