Engineering-scale ocean wave monitoring system and method based on image information recognition

Abstract

The present invention belongs to the technical field of wave monitoring for dredging ship operations, and discloses an engineering-scale wave monitoring system and method based on image information recognition. It includes monitoring area setting, wave image acquisition, wave parameter analysis, breaking situation monitoring, surge situation monitoring and dangerous situation identification. The present invention analyzes the wave hazard assessment, wave breaking hazard assessment and wave surge hazard assessment of each monitoring area respectively, comprehensively judges whether there are dangerous wave conditions in each monitoring area, and then further judges whether the target dredging engineering ship is dangerous, thereby achieving all-round risk control of dredging ship operations, effectively reducing the risks of ship collision, capsizing and facility damage, assisting in accurate decision-making, providing a reliable basis for optimizing the arrangement of dredging operation routes, etc., reducing the probability of ships entering dangerous waters, ensuring the smooth implementation of navigation plans, and completing engineering tasks on time.

Description

Technical Field

[0001] The invention belongs to the technical field of sea wave monitoring for dredging vessel operations, and relates to an engineering scale sea wave monitoring system and method based on image information recognition. Background Art

[0002] Dredging operation refers to the process of excavating, transporting and processing sediments such as mud and rocks on the bottom of the water using special ship equipment. Its main purpose is to deepen or widen waterways and port waters, improve navigation conditions for ships, or obtain resources such as sand for construction. Monitoring waves during dredging operations is an important prerequisite for ensuring the safety of ships and personnel, improving dredging efficiency, effectively controlling the diffusion of suspended matter and protecting the marine ecological environment. Therefore, the research on engineering-scale wave monitoring based on image information recognition is of great significance.

[0003] The existing technology also has the monitoring of waves during the operation of dredging ships, but there are still many problems: on the one hand, the monitoring of waves in the existing technology usually only involves the monitoring of basic wave parameters, such as wave height and period, and lacks the monitoring of wave breaking and wave surge. This analysis method reduces the comprehensiveness of safety risk assessment, cannot adapt to the complex and changeable marine environment, and greatly increases the danger of navigation. On the other hand, the existing technology usually only involves the analysis of monitoring data, but lacks further processing of the analysis results, such as the identification of dangerous monitoring areas and the judgment of the dangerous state of dredging ship operations. This analysis method reduces the effectiveness and timeliness of system analysis, increases the risk of dredging ship operations, cannot effectively optimize the operation route, and reduces the operation efficiency. Summary of the invention

[0004] In view of this, in order to solve the problems raised in the above background technology, an engineering scale ocean wave monitoring system and method based on image information recognition is proposed.

[0005] The purpose of the present invention can be achieved through the following technical solutions:

[0006] The engineering scale wave monitoring system based on image information recognition includes: a monitoring area setting module, which is used to obtain the position of the target dredging engineering ship, and then obtain the affected area based on the pre-set area, divide the affected area into monitoring areas to obtain a number of monitoring areas, and record the center point of each monitoring area as a monitoring point.

[0007] The ocean wave image acquisition module is used to acquire ocean wave images of each monitoring area by using a drone to acquire images at corresponding monitoring points in each monitoring area.

[0008] The wave parameter analysis module is used to obtain the wave data of each monitoring area based on the wave images of each monitoring area, wherein the wave data includes wave height and period, and then analyze the wave hazard assessment of each monitoring area.

[0009] The breaking situation monitoring module is used to obtain the wave crest image of each monitoring area based on the wave image of each monitoring area, analyze the curling of the wave crest of each monitoring area, determine whether wave breaking occurs in each monitoring area, record the breaking position and breaking height if it occurs, and analyze the wave breaking risk assessment of each monitoring area.

[0010] The surge monitoring module is used to evenly distribute points in each monitoring area to obtain a number of collection points, obtain the monitoring water level of each monitoring area corresponding to each collection point based on the wave images of each monitoring area, analyze the similarity of water level changes in each monitoring area, determine whether a wave surge occurs in each monitoring area, and if so, record the surge water level and surge duration, and analyze the wave surge hazard assessment of each monitoring area.

[0011] The dangerous situation identification module is used to determine whether there are dangerous wave conditions in each monitoring area based on the wave danger assessment, wave breaking danger assessment and wave surge danger assessment of each monitoring area, and to determine whether the target dredging engineering ship is in danger.

[0012] Engineering-scale wave monitoring method based on image information recognition, including:

[0013] Step 1: Monitoring area setting step, used to obtain the position of the target dredging engineering ship, and then obtain the affected area based on the preset area, divide the affected area into several monitoring areas, and record the center point of each monitoring area as a monitoring point;

[0014] Step 2, a wave image acquisition step, for acquiring images at corresponding monitoring points in each monitoring area using a drone to obtain wave images of each monitoring area, and providing the images to steps 3, 4, and 5;

[0015] Step 3, a wave parameter analysis step, for obtaining the wave data of each monitoring area based on the wave image of each monitoring area, wherein the wave data includes wave height and period, and then analyzing the wave hazard assessment of each monitoring area; and providing the data to step 6;

[0016] Step 4, a breaking situation monitoring step, for obtaining the wave crest images of each monitoring area based on the wave images of each monitoring area, analyzing the curling of the wave crests of each monitoring area, determining whether the wave breaking occurs in each monitoring area, and if so, recording the breaking position and breaking height, and analyzing the wave breaking risk assessment of each monitoring area; providing to step 6;

[0017] Step 5, surge monitoring step, for evenly distributing points in each monitoring area to obtain a number of collection points, obtaining the monitoring water level of each monitoring area corresponding to each collection point based on the wave image of each monitoring area, analyzing the similarity of water level changes in each monitoring area, judging whether a surge occurs in each monitoring area, and if so, recording the surge water level and surge duration, and analyzing the surge hazard assessment of each monitoring area; providing to step 6;

[0018] Step 6, the dangerous situation identification step, is used to determine whether there is a dangerous wave situation in each monitoring area based on the wave hazard assessment situation, wave breaking hazard assessment situation and wave surge hazard assessment situation of each monitoring area, and to determine whether the target dredging engineering ship is in danger.

[0019] Compared with the prior art, the beneficial effects of the present invention are as follows: (1) The present invention analyzes the wave hazard assessment, wave breaking hazard assessment and wave surge hazard assessment of each monitoring area respectively, and then comprehensively determines whether there is a wave hazard in each monitoring area. This analysis method realizes all-round risk control of dredging ship operations, effectively reduces the risks of ship collision, capsizing and facility damage, assists in accurate decision-making, provides a reliable basis for optimizing the dredging operation route, and improves operation efficiency.

[0020] (2) Based on the judgment results of whether there are dangerous sea waves in each monitoring area, the present invention further judges whether the target dredging engineering ship is in danger. This analysis method can accurately judge the dangers faced by the target dredging engineering ship, give early warning, effectively reduce the risk of damage to the ship due to wave impact, and ensure the safety of crew members and the integrity of ship equipment. At the same time, it can assist in making navigation decisions, optimize routes and adjust operation strategies based on accurate danger judgment results, reduce the probability of ships blindly entering dangerous waters, ensure the smooth implementation of navigation plans, and complete engineering tasks on time. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0022] Figure 1 It is a schematic diagram of the connection of each module of the system of the present invention.

[0023] Figure 2 A schematic diagram of monitoring area division corresponding to an embodiment provided by the present invention.

[0024] Figure 3A schematic diagram of the analysis of the curling angle of the wave crest corresponding to an embodiment provided by the present invention.

[0025] Figure 4 Schematic diagram of the process of the present invention.

[0026] Figure numbers: 1 - location of target dredging engineering vessel, 2 - impact area, 3 - monitoring area, 4 - monitoring point, 5 - edge contour of wave crest, 6 - corresponding vertex of wave crest edge, 7 - tangential direction, 8 - curling angle of wave crest, 9 - horizontal direction. DETAILED DESCRIPTION

[0027] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments 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 creative work are within the scope of protection of the present invention.

[0028] See also Figure 1 As shown, the present invention provides an engineering-scale wave monitoring system based on image information recognition, including a monitoring area setting module, a wave image acquisition module, a wave parameter analysis module, a breaking condition monitoring module, a surge condition monitoring module and a dangerous situation identification module, wherein the monitoring area setting module is connected to the wave image acquisition module, the wave image acquisition module is respectively connected to the wave parameter analysis module, the breaking condition monitoring module and the surge condition monitoring module, and the wave parameter analysis module, the breaking condition monitoring module and the surge condition monitoring module are all connected to the dangerous situation identification module.

[0029] The monitoring area setting module is used to obtain the position of the target dredging engineering ship, and then obtain the affected area based on the preset area, divide the affected area into several monitoring areas, and record the center point of each monitoring area as a monitoring point.

[0030] In addition, please refer to Figure 2 As shown, the specific method of dividing the monitoring area is: obtaining the position of the target dredging engineering ship, and then obtaining the affected area with the position of the target dredging engineering ship as the center point, and dividing the affected area based on a pre-set area to obtain several monitoring areas, and the area of ​​each monitoring area remains consistent.

[0031] The ocean wave image acquisition module is used to acquire ocean wave images of each monitoring area by using a drone to acquire images at corresponding monitoring points in each monitoring area.

[0032] It should be noted that the drone carries a high-definition camera, and collects a number of ocean wave images at each monitoring point.

[0033] The wave parameter analysis module is used to obtain the wave data of each monitoring area based on the wave images of each monitoring area, and the wave data includes wave height and period, and then analyze the wave hazard assessment of each monitoring area.

[0034] It should be added that the wave height is obtained by extracting several wave images collected by drones, obtaining the wave height of the monitoring point corresponding to each wave image, comparing the wave heights in each wave image to obtain the maximum height and the minimum height, calculating the difference between the maximum height and the minimum height of the monitoring point in the wave image corresponding to each monitoring area and multiplying it by one half to obtain the wave height of the waves in each monitoring area.

[0035] It should be added that the period is obtained by extracting a number of wave images collected by drones and the corresponding collection time, obtaining the collection time difference between each wave crest and the adjacent wave trough, and then performing mean calculation to obtain the period of the waves in each monitoring area.

[0036] In a preferred embodiment of the present invention, the analysis of the sea wave hazard assessment of each monitoring area requires the construction of a sea wave hazard assessment index for each monitoring area, and the specific method is as follows: extract the wave height and period of each monitoring area, respectively recorded as , ,in Indicates the number of the monitoring area. , Indicates the number of monitoring areas.

[0037] Using the formula The wave hazard assessment index of each monitoring area is obtained by analysis. ,in Indicates the preset reference wave height. Indicates a preset reference period.

[0038] It should be explained that the reason for choosing wave height and period as the influencing factors of the wave hazard assessment index in each monitoring area is that wave height is a direct representation of wave energy. The larger the value, the stronger the energy. The higher the risk of damage to offshore facilities such as drilling platforms, wind power foundations and ships caused by the impact force. It also greatly affects the stability of ships. Small ships are prone to losing control and capsizing when encountering waves with excessive wave heights. It is also closely related to wave breaking. It is easy to break under certain conditions when it reaches a certain height. The strong current generated by the breaking is extremely harmful. The period reflects the rhythm of the waves. Long-period surges cause uneven force on ships for a long time, and the structure is prone to fatigue damage. It also affects the efficiency of marine operations. The wave height and period work together to accurately measure the degree of wave danger and provide a key basis for early warning and protection.

[0039] The breaking situation monitoring module is used to obtain the wave crest image of each monitoring area based on the wave image of each monitoring area, analyze the curling of the wave crest of each monitoring area, determine whether wave breaking occurs in each monitoring area, record the breaking position and breaking height if it occurs, and analyze the wave breaking risk assessment of each monitoring area.

[0040] It should be explained that the reason for monitoring the breaking of waves in each monitoring area is as follows: It is extremely important to monitor the breaking of waves in each monitoring area, and the reasons are mainly reflected in many aspects. From the perspective of safety, the huge impact force generated by the breaking of waves poses a great threat to offshore structures, such as breakwaters and offshore platforms, which may cause rocks to loosen and structures to collapse, endangering the safety of personnel and facilities; ships are affected by their navigation, and when encountering breaking waves, the shaking is aggravated and the control is difficult, which can easily cause collisions or capsizing accidents. From the perspective of marine operations, it is not conducive to the development of projects such as dredging and offshore wind power installation, reducing operating efficiency and damaging equipment.

[0041] In a preferred embodiment of the present invention, please refer to Figure 3 As shown, the analysis of the curling of wave crests in each monitoring area requires the construction of a wave crest curling index for each monitoring area, and the specific method is as follows: extract the wave crest images of each monitoring area, and then use the edge detection algorithm to obtain the edge contour of the wave crest in each monitoring area, use image processing software to obtain the tangential direction of the vertex corresponding to the edge of the wave crest in each monitoring area, and record the angle between the tangential direction of the vertex of the wave crest in each monitoring area and the horizontal direction as the wave crest curling angle of each monitoring area.

[0042] The wave crest curling angle of each monitoring area is calculated by ratio with the preset reference wave crest curling angle to obtain the wave crest curling index of each monitoring area.

[0043] It should be explained that the reason for judging whether waves are breaking in each monitoring area based on the wave crest curling index is: first, crest curling is the most intuitive appearance feature before waves break. When the crest begins to curl, it means that the energy distribution inside the waves has changed, the water body movement state is unbalanced, and it is about to enter the breaking stage. Secondly, the index is easy to extract and quantify from observation data such as images and videos. Through advanced image recognition algorithms, it can accurately capture the changes in wave crest shape and quickly convert them into comparable data. Furthermore, compared with other complex and indirect judgment methods, judgment based on the wave crest curling index is more timely, and can give early warnings at the moment of wave breaking or before it is about to break, allowing ships operating at sea to avoid danger in time, and also buying valuable time for response measures such as the early reinforcement of coastal protection facilities.

[0044] In a preferred embodiment of the present invention, the specific method of judging whether wave breaking occurs in each monitoring area is as follows: extracting the wave crest curling index of each monitoring area, and then comparing them with the preset wave crest curling index thresholds respectively; if the wave crest curling index of a certain monitoring area is greater than the preset wave crest curling index threshold, it is judged that wave breaking occurs in the monitoring area; otherwise, it is judged that wave breaking does not occur in the monitoring area.

[0045] Exemplarily, the threshold value of the wave crest curl index is 0.4.

[0046] It should be noted that when judging whether waves are breaking in each monitoring area, the threshold of the wave crest curling index is set based on: on the one hand, it is derived from the deep mining and statistical analysis of historical wave data, long-term monitoring of specific or similar sea areas, collection of massive wave images and information, accurate quantification of the crest curling index of each broken wave, and comprehensive statistical characteristics under different sea conditions, water depths, and terrains, such as average values, standard deviations, etc., based on which reasonable values ​​are taken. For example, a certain shallow sea operation area has initially set the threshold based on many years of observation. On the other hand, with the help of ocean dynamic model simulation, local ocean geography and meteorological data are input to simulate the evolution of wave generation and disappearance, focusing on the exponential changes from the crest shape to the breaking criticality, and repeatedly adjusting the simulation to fit the reality, providing support for the determination of the threshold, such as setting limits on the sea area under construction of wind farms.

[0047] In a preferred embodiment of the present invention, the analysis of the wave breaking hazard assessment situation in each monitoring area requires the construction of a wave breaking hazard assessment index for each monitoring area, and the specific method is as follows: the monitoring area where the wave breaking occurs is recorded as the wave breaking monitoring area, and the breaking height of each wave breaking monitoring area is extracted and recorded as ,in Indicates the number of the wave breaking monitoring area, , Indicates the number of wave breaking monitoring areas.

[0048] It should be noted that the breaking height refers to the crest height of the waves when they break.

[0049] The breaking position of each wave breaking monitoring area and the position of the current target dredging engineering ship are extracted, and the breaking position of each wave breaking monitoring area and the position of the current target dredging engineering ship are connected to obtain the wave breaking impact path corresponding to each wave breaking monitoring area, and then the length of the wave breaking impact path corresponding to each wave breaking monitoring area is taken as the breaking impact distance of each wave breaking monitoring area, which is recorded as .

[0050] Using the formula The analysis results show that the wave breaking hazard assessment index of each wave breaking monitoring area is obtained. ,in Indicates the preset reference crushing height. Indicates the preset reference crushing impact distance. Represents a natural constant.

[0051] It should be explained that the reason for choosing breaking height and breaking impact distance as influencing factors of wave breaking hazard assessment index is as follows: breaking height is an intuitive scale for the release of breaking wave energy. When the energy is huge, the impact force is strong, which will cause structural damage to near-shore facilities such as breakwaters and docks, bring capsizing risks to offshore ships such as dredging engineering ships, endanger the safety of crew members and equipment, and disrupt the physical and chemical properties of seawater and damage the marine ecology; the breaking impact distance can accurately define the scope of the hazard, and its distance determines whether the dredging engineering ship is directly affected. When the distance is close, the water flow and fluctuation caused by the breaking waves will interfere with the ship positioning and the operation of the dredging equipment, hindering the operation. In marine engineering planning, it is related to the site selection and protection layout of facilities such as offshore wind farms. Combining the two can accurately assess the danger and ensure the safety and stability of all parties.

[0052] The wave breaking hazard assessment index corresponding to the monitoring area where no wave breaking occurs is recorded as 0.

[0053] The surge monitoring module is used to evenly distribute points in each monitoring area to obtain a number of collection points, obtain the monitoring water level of each monitoring area corresponding to each collection point based on the wave image of each monitoring area, analyze the similarity of water level changes in each monitoring area, determine whether a wave surge occurs in each monitoring area, and if so, record the surge water level and surge duration, and analyze the wave surge hazard assessment of each monitoring area.

[0054] It should be explained that the reason for monitoring sea surges is that from the perspective of ensuring operational safety, surges can seriously threaten the stability of the ship, causing the ship to shake violently, which can easily cause injuries to the crew, and may also damage the precision components of the dredging equipment, greatly increasing maintenance costs and the risk of operational interruptions; at the same time, ships are very likely to lose control under strong surges. In the operating area and surrounding complex waters, once out of control, they may collide with auxiliary ships or passing ships, block the waterway, and affect port operations. From the perspective of ensuring operational efficiency, surges interfere with the precise operation of dredging equipment, making it difficult for the grab to accurately grab sediment, causing the suction pipe to shift position, reducing the suction efficiency, and extending the operation time, which brings many obstacles to the smooth progress of the dredging project, so monitoring surges is urgent.

[0055] In a preferred embodiment of the present invention, the analysis of the similarity of water level changes in each monitoring area requires the construction of a water level change similarity index for each monitoring area, and the specific method is as follows: extract the monitoring water level of each collection point corresponding to each monitoring area, and record them as ,in Indicates the number of the collection point. , Indicates the number of collection points.

[0056] Using the formula The water level change similarity index of each monitoring area was obtained by analysis. ,in Indicates the preset reference water level.

[0057] It should be explained that the reason for choosing the water level change similarity index as the basis for judging whether a sea surge has occurred is that from a physical point of view, surges, as fluctuations in the water body, will inevitably cause the water level to rise and fall sharply, which is very different from slow water level changes such as conventional tides. The index can capture this difference and compare the measured and normal water level change patterns. Once a surge occurs, the index will be sensitive to the deviation of the water level change from the normal state. Moreover, it has significant advantages in practical applications. Based on long-term monitoring data, it can accurately define the normal range of water level changes under different sea conditions, and then quickly judge surges. It is easy to operate and easy to obtain data. Whether it is for warning of offshore vessels or assisting the activation of coastal protection facilities, it can provide timely and reliable decision-making basis.

[0058] In a preferred embodiment of the present invention, the specific method of judging whether sea wave surge occurs in each monitoring area is as follows: extracting the water level change similarity index of each monitoring area, and then comparing them with the preset water level change similarity index thresholds respectively; if the water level change similarity index of a certain monitoring area is greater than the preset water level change similarity index threshold, it is judged that sea wave surge occurs in the monitoring area; otherwise, it is judged that sea wave surge does not occur in the monitoring area.

[0059] Exemplarily, the water level change similarity index threshold is 0.5.

[0060] It should be noted that the basis for setting the threshold of the water level change similarity index is derived from the systematic analysis and in-depth mining of historical water level data. Long-term, continuous and high-frequency water level monitoring work is carried out in each monitoring area, and a large-scale, detailed and complete water level change data has been accumulated. On this basis, the data is refined and deeply explored according to multi-dimensional factors such as seasonal alternation, differences in weather conditions and time period characteristics. Using scientific statistical methods, the key characteristic values ​​of water level changes under normal surge-free conditions are accurately extracted, including mean values, standard deviations, fluctuation ranges, etc., to construct a "standard change model" of water levels. At the same time, the unique submarine topography, water flow direction and other characteristics of the local sea area are fully taken into account, and comprehensive considerations and prudent judgments are made to determine scientific and reasonable thresholds.

[0061] In a preferred embodiment of the present invention, the analysis of the sea wave surge hazard assessment situation of each monitoring area requires the construction of a sea wave surge hazard assessment index for each monitoring area, and the specific method is as follows: the monitoring area where the sea wave surge occurs is recorded as the sea wave surge monitoring area, and the surge water level and surge duration of each sea wave surge monitoring area are extracted and recorded as , ,in Indicates the number of the wave surge monitoring area, , Indicates the number of sea surge monitoring areas.

[0062] The monitoring point positions of each wave and surge monitoring area and the position of the current target dredging engineering ship are extracted, and the monitoring point positions of each wave and surge monitoring area are connected with the position of the current target dredging engineering ship to obtain several wave and surge impact paths. The wave and surge impact path length corresponding to each wave and surge monitoring area is taken as the surge impact distance of each wave and surge monitoring area, recorded as .

[0063] Using the formula The sea wave surge hazard evaluation index of each sea wave surge monitoring area is obtained by analysis. ,in Indicates the preset reference surge water level. Indicates the preset reference surge duration. Indicates the preset reference surge impact distance.

[0064] It should be explained that the reasons for choosing surge water level, surge duration and surge impact distance as influencing factors of the sea wave surge hazard assessment index are as follows: the surge water level directly demonstrates the strength of the surge energy. The higher the water level, the stronger the impact. It will not only cause structural damage to breakwaters, docks, etc., but will also submerge coastal areas, endanger life and property, and disrupt the marine ecology. The duration of the surge determines the continuity of the hazard. Long-term surges make marine facilities overwhelmed, offshore operations stagnant, and the reproduction of marine life hindered. The surge impact distance defines the scope of the disaster. Dredging ships close to the surge source will have their operations hindered and their safety threatened, which will also have a far-reaching impact on marine engineering planning and the balance of the ecosystem. Only by comprehensively considering the three can we accurately assess the danger and escort marine activities and ecological security.

[0065] The sea wave surge hazard assessment index corresponding to the monitoring area where no sea wave surge occurs is recorded as 0.

[0066] The danger situation identification module is used to determine whether a wave danger situation occurs in each monitoring area based on the wave danger assessment situation, wave breaking danger assessment situation and wave surge danger assessment situation of each monitoring area, and to determine whether a target dredging engineering ship is in danger.

[0067] In a preferred embodiment of the present invention, the specific method of judging whether a dangerous sea wave situation occurs in each monitoring area is as follows: extracting the sea wave hazard assessment index, the sea wave breaking hazard assessment index and the sea wave surge hazard assessment index of each monitoring area, and then summing them up according to the weights to obtain the sea wave hazard index of each monitoring area.

[0068] Exemplarily, the weights corresponding to the wave hazard assessment index, the wave breaking hazard assessment index and the wave surge hazard assessment index are 0.4, 0.3 and 0.3 respectively.

[0069] It should be noted that the weights corresponding to the wave hazard assessment index, wave breaking hazard assessment index and wave surge hazard assessment index are set based on: on the one hand, it is based on the precise consideration of the frequency and probability of disasters, and with the help of long-term marine monitoring data, the frequency of occurrence of various types of wave disasters in different sea areas is counted. For example, in some areas, wave breaking occurs frequently and surges occur occasionally. The former poses a great daily threat, so the corresponding weight is high; and combined with seasonal and cyclical characteristics, the typhoon season wave hazard increases greatly, and the weights are refined according to the performance of each disaster at the time, and the weight is increased if there are more breaking. On the other hand, according to the degree of damage and the scale of losses caused by the disaster, the damage to marine facilities such as docks and platforms is assessed, and the breaking impacts the breakwater and the surges submerge the dock equipment, and are quantified according to the maintenance cost and time consumption; at the same time, the impact on marine operations is taken into account, surges disturb the navigation of ships, and breaking endangers near-shore operations, and a comprehensive balance is made to ensure that the weights are scientific and reasonable and accurately reflect the degree of danger.

[0070] The wave hazard index of each monitoring area is compared with the preset wave hazard index threshold. If the wave hazard index of a monitoring area is greater than the preset wave hazard index threshold, it is judged that a wave hazard situation exists in the monitoring area. Otherwise, it is judged that no wave hazard situation exists in the monitoring area.

[0071] It should be noted that the present invention analyzes the wave hazard assessment, wave breaking hazard assessment and wave surge hazard assessment in each monitoring area respectively, and then comprehensively determines whether wave hazard conditions occur in each monitoring area. This analysis method realizes all-round risk control of dredging ship operations, effectively reduces the risks of ship collision, capsizing and facility damage, assists in accurate decision-making, provides a reliable basis for optimizing the dredging operation route, and improves operation efficiency.

[0072] In a preferred embodiment of the present invention, the specific method of judging whether the target dredging engineering ship is in danger is as follows: the monitoring area where it is judged that there is a dangerous wave situation is recorded as a dangerous area, the number of dangerous areas and the number of monitoring areas are obtained by statistics, and the proportion of the number of dangerous areas and the number of monitoring areas is calculated to obtain the proportion of dangerous areas.

[0073] The proportion of the dangerous area is compared with the preset threshold of the proportion of the dangerous area. If the proportion of the dangerous area is greater than the threshold of the proportion of the dangerous area, it is judged that the target dredging engineering ship is in danger. Otherwise, it is judged that the target dredging engineering ship is not in danger.

[0074] It should be noted that the present invention further determines whether the target dredging engineering ship is in danger based on the judgment results of whether there are dangerous sea waves in each monitoring area. This analysis method can accurately judge the dangers faced by the target dredging engineering ship, give early warning, effectively reduce the risk of damage to the ship due to wave impact, and ensure the safety of crew members and the integrity of ship equipment. At the same time, it can assist in making navigation decisions, optimize routes and adjust operation strategies based on accurate danger judgment results, reduce the probability of ships blindly entering dangerous waters, ensure the smooth implementation of navigation plans, and complete engineering tasks on time.

[0075] Furthermore, the present invention discloses an engineering scale ocean wave monitoring method based on image information recognition, such as Figure 4 As shown, including:

[0076] Step 1: Monitoring area setting step, used to obtain the position of the target dredging engineering ship, and then obtain the affected area based on the preset area, divide the affected area into several monitoring areas, and record the center point of each monitoring area as a monitoring point;

[0077] Step 2, a wave image acquisition step, for acquiring images at corresponding monitoring points in each monitoring area using a drone to obtain wave images of each monitoring area, and providing the images to steps 3, 4, and 5;

[0078] Step 3, a wave parameter analysis step, for obtaining the wave data of each monitoring area based on the wave image of each monitoring area, wherein the wave data includes wave height and period, and then analyzing the wave hazard assessment of each monitoring area; and providing the data to step 6;

[0079] Step 4, a breaking situation monitoring step, for obtaining the wave crest images of each monitoring area based on the wave images of each monitoring area, analyzing the curling of the wave crests of each monitoring area, determining whether the wave breaking occurs in each monitoring area, and if so, recording the breaking position and breaking height, and analyzing the wave breaking risk assessment of each monitoring area; providing to step 6;

[0080] Step 5, surge monitoring step, for evenly distributing points in each monitoring area to obtain a number of collection points, obtaining the monitoring water level of each monitoring area corresponding to each collection point based on the wave image of each monitoring area, analyzing the similarity of water level changes in each monitoring area, judging whether a surge occurs in each monitoring area, and if so, recording the surge water level and surge duration, and analyzing the surge hazard assessment of each monitoring area; providing to step 6;

[0081] Step 6, the dangerous situation identification step, is used to determine whether there is a dangerous wave situation in each monitoring area based on the wave hazard assessment situation, wave breaking hazard assessment situation and wave surge hazard assessment situation of each monitoring area, and to determine whether the target dredging engineering ship is in danger.

[0082] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they shall all fall within the protection scope of the present invention.

Claims

1. An engineering-scale wave monitoring system based on image information recognition, characterized in that: include: The monitoring area setting module is used to obtain the position of the target dredging engineering ship, and then obtain the affected area based on the preset area, divide the affected area into several monitoring areas, and record the center point of each monitoring area as a monitoring point; The sea wave image acquisition module is used to acquire images at corresponding monitoring points in each monitoring area using a drone to obtain sea wave images of each monitoring area; A wave parameter analysis module, which is used to obtain the wave data of each monitoring area based on the wave images of each monitoring area, wherein the wave data includes wave height and period, and then analyze the wave hazard assessment of each monitoring area; The breaking situation monitoring module is used to obtain the wave crest images of each monitoring area based on the wave images of each monitoring area, analyze the curling of the wave crests of each monitoring area, determine whether the wave breaking occurs in each monitoring area, record the breaking position and breaking height if it occurs, and analyze the wave breaking risk assessment of each monitoring area; The surge monitoring module is used to evenly distribute points in each monitoring area to obtain a number of collection points, obtain the monitoring water level of each monitoring area corresponding to each collection point based on the wave image of each monitoring area, analyze the similarity of water level changes in each monitoring area, determine whether a wave surge occurs in each monitoring area, and if so, record the surge water level and surge duration, and analyze the wave surge hazard assessment of each monitoring area; The dangerous situation identification module is used to determine whether there are dangerous wave conditions in each monitoring area based on the wave danger assessment, wave breaking danger assessment and wave surge danger assessment of each monitoring area, and to determine whether the target dredging engineering ship is in danger.

2. The engineering scale ocean wave monitoring system based on image information recognition according to claim 1, characterized in that: The analysis of the sea wave hazard assessment situation in each monitoring area requires the construction of a sea wave hazard assessment index for each monitoring area, and the specific method is as follows: The wave height and period of each monitoring area are extracted and recorded as , ,in Indicates the number of the monitoring area. , Indicates the number of monitoring areas; Using the formula The wave hazard assessment index of each monitoring area is obtained by analysis. ,in Indicates the preset reference wave height. Indicates a preset reference period.

3. The engineering scale ocean wave monitoring system based on image information recognition according to claim 1, characterized in that: The analysis of the wave crest curling conditions in each monitoring area requires the construction of a wave crest curling index in each monitoring area, and the specific method is as follows: Extract the wave crest images of each monitoring area, and then use the edge detection algorithm to obtain the edge contour of the wave crest in each monitoring area. Use image processing software to obtain the tangential direction of the vertex corresponding to the edge of the wave crest in each monitoring area, and record the angle between the tangential direction of the vertex of the wave crest in each monitoring area and the horizontal direction as the wave crest curling angle of each monitoring area; The wave crest curling angle of each monitoring area is calculated by ratio with the preset reference wave crest curling angle to obtain the wave crest curling index of each monitoring area.

4. The engineering scale ocean wave monitoring system based on image information recognition as claimed in claim 3, characterized in that: The specific method of judging whether sea wave breaking occurs in each monitoring area is as follows: The wave crest curling index of each monitoring area is extracted and then compared with the preset wave crest curling index threshold. If the wave crest curling index of a monitoring area is greater than the preset wave crest curling index threshold, it is judged that wave breaking occurs in the monitoring area. Otherwise, it is judged that wave breaking does not occur in the monitoring area.

5. The engineering scale ocean wave monitoring system based on image information recognition as claimed in claim 2, characterized in that: The analysis of the sea wave breaking hazard assessment situation in each monitoring area requires the construction of a sea wave breaking hazard assessment index for each monitoring area, and the specific method is as follows: The monitoring area where the wave breaks is recorded as the wave breaking monitoring area, and the breaking height of each wave breaking monitoring area is extracted and recorded as ,in Indicates the number of the wave breaking monitoring area, , Indicates the number of wave breaking monitoring areas; The breaking position of each wave breaking monitoring area and the position of the current target dredging engineering ship are extracted, and the breaking position of each wave breaking monitoring area and the position of the current target dredging engineering ship are connected to obtain the wave breaking impact path corresponding to each wave breaking monitoring area, and then the length of the wave breaking impact path corresponding to each wave breaking monitoring area is taken as the breaking impact distance of each wave breaking monitoring area, which is recorded as ; Using the formula The analysis results show that the wave breaking hazard assessment index of each wave breaking monitoring area is obtained. ,in Indicates the preset reference crushing height. Indicates the preset reference crushing impact distance, represents a natural constant; The wave breaking hazard assessment index corresponding to the monitoring area where no wave breaking occurs is recorded as 0.

6. The engineering scale ocean wave monitoring system based on image information recognition according to claim 5, characterized in that: The analysis of the similarity of water level changes in each monitoring area requires the construction of a water level change similarity index for each monitoring area, and the specific method is as follows: Extract the monitoring water level of each monitoring area corresponding to each collection point and record them as ,in Indicates the number of the collection point. , Indicates the number of collection points; Using the formula The water level change similarity index of each monitoring area was obtained by analysis. ,in Indicates the preset reference water level.

7. The engineering scale ocean wave monitoring system based on image information recognition according to claim 6, characterized in that: The specific method of judging whether sea surge occurs in each monitoring area is as follows: The water level change similarity index of each monitoring area is extracted, and then compared with the pre-set water level change similarity index threshold. If the water level change similarity index of a monitoring area is greater than the pre-set water level change similarity index threshold, it is judged that sea wave surge has occurred in the monitoring area. Otherwise, it is judged that sea wave surge has not occurred in the monitoring area.

8. The engineering scale ocean wave monitoring system based on image information recognition according to claim 5, characterized in that: The analysis of the sea wave surge hazard assessment situation in each monitoring area requires the construction of a sea wave surge hazard assessment index for each monitoring area, and the specific method is as follows: The monitoring area where the sea wave surge occurs is recorded as the sea wave surge monitoring area, and the surge water level and surge duration of each sea wave surge monitoring area are extracted and recorded as , ,in Indicates the number of the wave surge monitoring area, , Indicates the number of sea surge monitoring areas; The monitoring point positions of each wave and surge monitoring area and the position of the current target dredging engineering ship are extracted, and the monitoring point positions of each wave and surge monitoring area are connected with the position of the current target dredging engineering ship to obtain several wave and surge impact paths. The wave and surge impact path length corresponding to each wave and surge monitoring area is taken as the surge impact distance of each wave and surge monitoring area, recorded as ; Using the formula The sea wave surge hazard evaluation index of each sea wave surge monitoring area is obtained by analysis. ,in Indicates the preset reference surge water level. Indicates the preset reference surge duration. Indicates the preset reference surge impact distance; The sea wave surge hazard assessment index corresponding to the monitoring area where no sea wave surge occurs is recorded as 0.

9. The engineering scale ocean wave monitoring system based on image information recognition according to claim 8, characterized in that: The specific method for judging whether there is dangerous sea wave situation in each monitoring area is as follows: Extract the wave hazard assessment index, wave breaking hazard assessment index and wave surge hazard assessment index of each monitoring area, and then sum them up according to the weights to obtain the wave hazard index of each monitoring area; The wave hazard index of each monitoring area is compared with the preset wave hazard index threshold. If the wave hazard index of a monitoring area is greater than the preset wave hazard index threshold, it is judged that a wave hazard situation exists in the monitoring area. Otherwise, it is judged that no wave hazard situation exists in the monitoring area.

10. The engineering scale ocean wave monitoring system based on image information recognition according to claim 9, characterized in that: The specific method of judging whether the target dredging engineering vessel is dangerous is as follows: The monitoring areas where sea wave danger is judged to exist are recorded as dangerous areas, and the number of dangerous areas and the number of monitoring areas are obtained by statistics. The proportion of dangerous areas is calculated by dividing the number of dangerous areas by the number of monitoring areas; The proportion of the dangerous area is compared with the preset threshold of the proportion of the dangerous area. If the proportion of the dangerous area is greater than the threshold of the proportion of the dangerous area, it is judged that the target dredging engineering ship is in danger. Otherwise, it is judged that the target dredging engineering ship is not in danger.

11. An engineering-scale ocean wave monitoring method based on image information recognition, characterized in that: include: Step 1: Monitoring area setting step, used to obtain the position of the target dredging engineering ship, and then obtain the affected area based on the preset area, divide the affected area into several monitoring areas, and record the center point of each monitoring area as a monitoring point; Step 2, a wave image acquisition step, for acquiring images at corresponding monitoring points in each monitoring area using a drone to obtain wave images of each monitoring area, and providing the images to steps 3, 4, and 5; Step 3, a wave parameter analysis step, for obtaining the wave data of each monitoring area based on the wave image of each monitoring area, wherein the wave data includes wave height and period, and then analyzing the wave hazard assessment of each monitoring area; and providing the data to step 6; Step 4, a breaking situation monitoring step, for obtaining the wave crest images of each monitoring area based on the wave images of each monitoring area, analyzing the curling of the wave crests of each monitoring area, determining whether the wave breaking occurs in each monitoring area, and if so, recording the breaking position and breaking height, and analyzing the wave breaking risk assessment of each monitoring area; providing to step 6; Step 5, surge monitoring step, for evenly distributing points in each monitoring area to obtain a number of collection points, obtaining the monitoring water level of each monitoring area corresponding to each collection point based on the wave image of each monitoring area, analyzing the similarity of water level changes in each monitoring area, judging whether a surge occurs in each monitoring area, and if so, recording the surge water level and surge duration, and analyzing the surge hazard assessment of each monitoring area; providing to step 6; Step 6, the dangerous situation identification step, is used to determine whether there is a dangerous wave situation in each monitoring area based on the wave hazard assessment situation, wave breaking hazard assessment situation and wave surge hazard assessment situation of each monitoring area, and to determine whether the target dredging engineering ship is in danger.

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