Visual analysis-fused ultraviolet light anti-biological adhesion device and method for ship

Abstract

The invention discloses a ship ultraviolet light organism adhesion prevention device and method fused with visual analysis, and relates to the technical field of ship antifouling, and the method comprises the steps: obtaining the type of an organism adhered to a ship body; a target frequency corresponding to the biological type is obtained, the action range of the ultraviolet lamp set at the installation position is obtained through analysis, and the part, below the water surface, of the ship body is divided into at least one local area; analyzing to obtain the real-time seawater temperature of the local area, analyzing to obtain the real-time seawater flow velocity and the biological distribution condition of the local area, and setting the operation frequency of the ultraviolet lamp group corresponding to the local area; and establishing an ultraviolet lamp intensity loss model, and setting the operation intensity of the ultraviolet lamp group corresponding to the local area. The biological distribution condition, the real-time seawater temperature and the real-time seawater flow velocity are obtained in an image analysis mode, and the established ultraviolet lamp intensity loss model is combined, so that the illumination setting is consistent with the actual condition as much as possible, the energy efficiency is improved, and the illumination mode is optimized.

Description

Technical Field

[0001] This invention relates to the field of ship antifouling technology, specifically to a ship ultraviolet light anti-biofouling device and method that integrates visual analysis. Background Technology

[0002] When ships navigate at sea, their hulls are susceptible to biofouling, including algae, barnacles, shellfish, and other microorganisms. MP Schultz et al., in their paper "Economic impact of biofouling on a naval surface ship," pointed out that these biofouling organisms significantly increase hull surface roughness, thereby increasing hydrodynamic drag and leading to a 10%–40% increase in fuel consumption. Furthermore, biofouling accelerates localized corrosion of the hull, shortens its service life, and can potentially introduce invasive species through cross-regional voyages, damaging marine ecosystems. Therefore, preventing biofouling is not only a critical issue for ship maintenance but also crucial for shipping economics and environmental protection.

[0003] Currently, the main antifouling technologies include chemical antifouling coatings, physical removal, and electrochemical antifouling methods. However, these methods all have certain limitations. Chemical antifouling coatings are one of the most widely used methods, inhibiting marine organism attachment by releasing toxic substances (such as organotin and copper-based compounds). However, these coatings can pollute the marine environment and require regular replacement, resulting in high maintenance costs. Physical removal methods, such as scraping, brushing, and high-pressure water jetting, can remove attached organisms in the short term, but require frequent cleaning, are labor-intensive, and may damage the hull surface. Electrochemical antifouling technology inhibits marine organism growth by applying an electric field or releasing metal ions (such as copper ions). While it can reduce attachment to some extent, it consumes a lot of energy and has limited applicability, mainly used in localized areas such as propellers and water intakes, and is difficult to cover the entire hull. Summary of the Invention

[0004] To address the aforementioned technical problems, a shipboard ultraviolet light anti-biofouling device and method integrating visual analysis is provided. This technical solution solves the problems mentioned in the background section.

[0005] To achieve the above objectives, the technical solution adopted by the present invention is as follows: A method for preventing biofouling on ships using ultraviolet light by incorporating visual analysis includes: Obtain at least one type of organism attached to the hull, including sponges, algae, barnacles, shellfish, and marine worms; Obtain the target frequency corresponding to the biological type, obtain at least one installation position of the ultraviolet lamp on the surface of the ship, analyze the effective range of the ultraviolet lamp group at the installation position, divide the part of the ship below the water surface into at least one local area according to the effective range, and pair the local area with the ultraviolet lamp group at the installation position. Real-time acquisition of at least one continuous real infrared image of a local area, real-time acquisition of a real conventional image of the local area, the real infrared image is acquired using an infrared device, the real conventional image is acquired using a regular camera; Based on actual infrared images, the real-time seawater temperature of a local area is obtained. Based on actual infrared images and actual conventional images, the real-time seawater flow velocity and biological distribution of a local area are obtained. Based on the biological distribution of a local area, the operating frequency of the corresponding ultraviolet light group for that local area is set. A UV lamp intensity loss model is established, and based on the UV lamp intensity loss model, the operating intensity of the UV lamp group corresponding to the local area is set.

[0006] Preferably, obtaining the target frequency corresponding to the biological type includes the following steps: Obtain the wavelength range of ultraviolet light emission from 280nm to 420nm, take the minimum value in the wavelength range as the minimum wavelength, and take the maximum value in the wavelength range as the maximum wavelength; Dividing the speed of light by the smallest wavelength yields the largest frequency, and dividing the speed of light by the largest wavelength yields the smallest frequency. Frequency ranges are formed with the smallest and largest frequencies as endpoints. The frequency intervals are divided at equal intervals to obtain at least one identification point. At least one organism from the organism type is selected as the sample organism. Under the conditions that the intensity of the ultraviolet light is a preset intensity, the frequency of the ultraviolet light is the value at the identification point, and the distance between the ultraviolet light and the sample organism is a preset distance, the average speed of the escape speed of at least one sample organism is taken to obtain the average speed of the identification point. The preset intensity and preset distance are data randomly set based on experience. The value of the identification point with the highest average speed is taken as the target frequency corresponding to the biological type.

[0007] Preferably, the analysis to determine the effective range of the UV lamp assembly at the installation location includes the following steps: The surface of the hull below the waterline is uniformly divided into at least one segment. The distance from the center of the segment to the installation position is taken as the distance between the segment and the installation position. The segment is paired with the nearest installation position. The effective range of the ultraviolet light group at the installation position is the segment corresponding to the installation position.

[0008] Preferably, dividing the portion of the hull below the waterline into at least one local area and pairing the local area with the UV lamp assembly at the installation location includes the following steps: The segmented blocks corresponding to the installation location are aggregated to form a local area, and the local area formed by the installation location is paired with the ultraviolet lamp at the installation location.

[0009] Preferably, the analysis to obtain the real-time seawater temperature of a local area includes the following steps: The average pixel value is obtained by taking the average pixel value of the pixels in the actual infrared image. The temperature corresponding to the average pixel value is taken as the actual temperature of the actual infrared image. The real-time seawater temperature of the local area is obtained by averaging the actual temperatures of at least one actual infrared image of the local area.

[0010] Preferably, the analysis to obtain the real-time seawater flow velocity and biological distribution in a local area includes the following steps: The temperature corresponding to the pixel value of a pixel is identified in the actual infrared image and used as the temperature of the pixel. The pixel with the lowest temperature in the actual infrared image is used as the feature point of the actual infrared image. Arrange at least one actual infrared image in chronological order, overlap adjacent actual infrared images, and use the distance between feature points of the overlapped adjacent actual infrared images as the initial distance; The actual distance corresponding to the unit image distance in the actual infrared image is obtained in advance. The preliminary distance is divided by the unit image distance and then multiplied by the actual distance to obtain the seawater movement distance. The seawater movement distance is divided by the acquisition time interval of adjacent actual infrared images to obtain the preliminary seawater flow velocity. The average value of at least one preliminary seawater flow velocity is taken to obtain the real-time seawater flow velocity of the local area. Pre-acquire sample images of at least one organism from the organism type, extract the organism contours from the sample images, and summarize at least one organism contour of the organism type to form a set of organism contours for the organism type. At least one sampling point is uniformly selected in the interval (0, 10), and at least one test point is uniformly selected in the interval (0, 360). The biological profile is scaled according to the values ​​of the sampling points to obtain a preliminary biological profile. The preliminary biological profile is then rotated to obtain a preparatory biological profile, where the rotation angle is equal to the values ​​of the test points. The preliminary biological contours generated from the biological contours in the biological contour set of biological types are summarized to obtain the biological type identification feature set; The preliminary biological contours appearing in actual conventional images are used as target biological contours. The area covered by the target biological contours is used as the target region. The target regions of the target biological contours contained in the biological type identification feature set are summarized as the feature regions of the biological type in the local region. The feature regions of the biological type in the local region are summarized as the biological distribution of the local region.

[0011] Preferably, the operating frequency of the UV lamp group corresponding to the local area includes the following steps: The total area is obtained by summing the areas of the feature regions of each biological type within the local region. The weight of each biological type within the local region is obtained by dividing the area of ​​the feature regions of each biological type within the local region by the total area. The target frequency corresponding to the biological type is multiplied by the weight of the biological type in the local area and then summed to obtain the operating frequency of the UV lamp group corresponding to the local area.

[0012] Preferably, the establishment of the ultraviolet lamp intensity dissipation model includes the following steps: Based on historical data, the range of seawater’s relative speed to the ship’s hull is obtained, and the range of speed is divided into equal intervals to obtain at least one point of movement. The average distance between the center of a local area and the corresponding UV lamp is taken to obtain the baseline distance; Under the conditions that the seawater velocity is equal to the value of the moving point and the light intensity of the ultraviolet lamp is equal to the preset intensity, the experimental light intensity at the reference distance of the ultraviolet lamp is measured, and the attenuation coefficient is obtained by dividing the experimental light intensity by the preset intensity. By pairing and fitting the values ​​of the moving points with the attenuation coefficients, the moving attenuation function is obtained. Obtain the temperature range of seawater, divide the temperature range into equal intervals, and obtain at least one temperature point; Under the conditions that the seawater temperature is equal to the temperature point and the light intensity of the ultraviolet lamp is equal to the preset intensity, the test light intensity at the ultraviolet lamp is measured, and the decay coefficient is obtained by dividing the test light intensity by the preset intensity. By pairing and fitting the temperature values ​​with the decay coefficients, the temperature decay function is obtained.

[0013] Preferably, setting the operating intensity of the UV lamp group corresponding to a local area based on the UV lamp intensity dissipation model includes the following steps: The minimum light intensity at which the sample organism is driven away is obtained in advance as the critical light intensity. The average critical light intensity of the sample organisms in the biological type is taken to obtain the target light intensity of the biological type. The initial intensity of the UV light group corresponding to the local area is obtained by multiplying the target light intensity of the biological type with the weight of the biological type in the local area and summing them up. Substituting the real-time seawater flow velocity into the moving decay function yields the actual decay coefficient; substituting the real-time seawater temperature into the temperature decay function yields the actual decay coefficient. Multiplying the actual attenuation coefficient by the actual decay coefficient yields the total attenuation coefficient. Dividing the initial intensity of the UV lamp group corresponding to the local area by the total attenuation coefficient yields the operating intensity of the UV lamp group corresponding to the local area.

[0014] A shipboard ultraviolet biofouling prevention device integrating visual analysis, used to implement the above-mentioned shipboard ultraviolet biofouling prevention method integrating visual analysis, includes: The ultraviolet light module emits ultraviolet light with a wavelength of 280nm~420nm. The ultraviolet light module includes multiple ultraviolet light units arranged in a distributed manner. The ultraviolet light module is installed by magnetic suction, clamping or embedded installation. The ultraviolet light module is installed on the surface of the waterline of the ship. The surface of the ultraviolet light module is provided with a first outer cover, which is made of light-transmitting optical material. The circuit and control module integrates a temperature sensor, a light sensor, a lidar, a camera, and a water quality monitoring sensor. The circuit and control module provides power to the ultraviolet lamp module and adjusts the light intensity and frequency through an intelligent algorithm. A second outer cover is provided on the surface of the circuit and control module, and the material of the second outer cover is a light-transmitting optical material. The host computer module communicates with the circuit and control module, receives sensor data, analyzes environmental parameters, remotely monitors and adjusts the working status of the UV lamp module through the circuit and control module, and interacts with the shore-based control system or cloud server through wireless communication.

[0015] Compared with the prior art, the beneficial effects of the present invention are as follows: By acquiring target frequencies corresponding to different biological types and obtaining biological distribution, real-time seawater temperature, and real-time seawater flow velocity through image analysis, combined with an established UV lamp intensity dissipation model, the system can intelligently adjust the light intensity and select light frequencies according to the seawater environment. This ensures that the lighting settings match the actual situation as closely as possible, thereby improving energy efficiency, optimizing lighting methods, and enhancing antifouling effects. This technology can replace or assist traditional antifouling technologies. Compared to traditional methods, UV lamp antifouling technology has significant advantages: it does not rely on chemical coatings, does not release harmful substances, and is more environmentally friendly to the marine ecosystem. Furthermore, UV lamps have low maintenance costs and a long service life, thus achieving more efficient and environmentally friendly antifouling of ships. Attached Figure Description

[0016] Figure 1 This is a flowchart illustrating the shipborne ultraviolet light anti-bioattachment method based on integrated visual analysis according to the present invention. Figure 2 This is a schematic diagram of the process for obtaining the target frequency corresponding to the biological type according to the present invention; Figure 3 This is a schematic diagram illustrating the process of obtaining real-time seawater temperature in a local area using the analysis method of this invention. Figure 4 This is a schematic diagram illustrating the process of obtaining real-time seawater flow velocity and biological distribution in a local area according to the present invention. Figure 5 This is a flowchart illustrating the process of setting the operating frequency of a UV lamp group corresponding to a local area according to the present invention. Figure 6 This is a schematic diagram of the process for establishing the ultraviolet lamp intensity dissipation model of the present invention; Figure 7 This is a flowchart illustrating the process of setting the operating intensity of a local area's UV lamp group based on the UV lamp intensity loss model of the present invention. Figure 8 This is a schematic diagram of the overall structure of the shipborne ultraviolet bioattachment prevention device integrating visual analysis according to the present invention. Figure 9 This is a schematic diagram of the structure of the ultraviolet lamp module of the present invention. Detailed Implementation

[0017] The following description is intended to disclose the invention and enable those skilled in the art to implement it. The preferred embodiments described below are merely examples, and other obvious variations will occur to those skilled in the art.

[0018] Reference Figure 1 As shown, a method for preventing biofouling on ships using ultraviolet light by incorporating visual analysis includes: Obtain at least one type of organism attached to the hull, including sponges, algae, barnacles, shellfish, and marine worms; Obtain the target frequency corresponding to the biological type, obtain at least one installation position of the ultraviolet lamp on the surface of the ship, analyze the effective range of the ultraviolet lamp group at the installation position, divide the part of the ship below the water surface into at least one local area according to the effective range, and pair the local area with the ultraviolet lamp group at the installation position. Real-time acquisition of at least one continuous real infrared image of a local area, real-time acquisition of a real conventional image of the local area, the real infrared image is acquired using an infrared device, the real conventional image is acquired using a regular camera; Based on actual infrared images, the real-time seawater temperature of a local area is obtained. Based on actual infrared images and actual conventional images, the real-time seawater flow velocity and biological distribution of a local area are obtained. Based on the biological distribution of a local area, the operating frequency of the corresponding ultraviolet light group for that local area is set. A UV lamp intensity loss model is established, and based on the UV lamp intensity loss model, the operating intensity of the UV lamp group corresponding to the local area is set.

[0019] Biological organisms typically attach to the parts of a ship below the waterline, while the parts above the waterline are drier and unsuitable for their survival. Therefore, when installed on a ship, the UV lamp is installed on the part of the hull below the waterline, and the circuit and control module are also installed near the UV lamp. Therefore, an outer cover needs to be installed on its surface to prevent water immersion. At the same time, the outer cover needs to have good light transmittance and should not block the light from the UV lamp as much as possible. When using ultraviolet (UV) lamps for biological repellency, the frequency and intensity of the UV lamps need to be set. Different frequencies of light have different repellency effects on different types of organisms. Choosing a more suitable frequency will achieve better results. At the same time, the light intensity setting must also meet the repellency effect. While infinitely increasing the light intensity can achieve the desired repellency effect, it will result in severe energy consumption. Therefore, it is necessary to set the light intensity according to the identification of the organism type. In addition, since the ship is sailing in the sea, even when it is not sailing, the seawater is constantly moving. The movement of the seawater will weaken the light intensity reaching the organisms attached to the ship. At the same time, the temperature of the seawater will also affect the light intensity. These effects will be addressed in a series of steps later. Distance factors also need to be considered, but when the local area covered by the UV lamp at the installation location is relatively small, the distance difference within the local area can be ignored, so it does not need to be considered in this solution. The UV lamp module and circuit and control module of this solution can be installed on ships for real-time cleaning of biofouling, or installed in ports where ships are docked for cleaning of biofouling when the ships are at shore. The specific choice depends on actual needs. When there is little biofouling in the shipping route, it can be installed in the port. However, if there is a lot of biofouling in the shipping route, exceeding the resistance generated by the UV lamp installed on the ship's hull, it can be installed on the ship. But the working mechanism of the UV lamp in this solution is the same regardless of the installation method.

[0020] Reference Figure 2 As shown, obtaining the target frequency corresponding to a biological type includes the following steps: Obtain the wavelength range of ultraviolet light emission from 280nm to 420nm, take the minimum value in the wavelength range as the minimum wavelength, and take the maximum value in the wavelength range as the maximum wavelength; Dividing the speed of light by the smallest wavelength yields the largest frequency, and dividing the speed of light by the largest wavelength yields the smallest frequency. Frequency ranges are formed with the smallest and largest frequencies as endpoints. The frequency intervals are divided at equal intervals to obtain at least one identification point. At least one organism from the organism type is selected as the sample organism. Under the conditions that the intensity of the ultraviolet light is a preset intensity, the frequency of the ultraviolet light is the value at the identification point, and the distance between the ultraviolet light and the sample organism is a preset distance, the average speed of the escape speed of at least one sample organism is taken to obtain the average speed of the identification point. The preset intensity and preset distance are data randomly set based on experience. The value of the identification point with the highest average speed is taken as the target frequency corresponding to the biological type.

[0021] Studies have shown that ultraviolet light emitted in the 280nm-420nm wavelength range can effectively inhibit and interfere with the attachment and reproduction of marine organisms. Since the speed of light equals the wavelength multiplied by the frequency, the frequency range of the ultraviolet light can be determined. However, the most suitable repelling frequency differs for different organism types. Furthermore, when repelling organisms, it is necessary to deal with a mixture of multiple organism types simultaneously. Therefore, in order to determine a more suitable frequency, it is necessary to obtain the target frequency corresponding to each organism type in advance. The repelling effect is optimal for organisms of a given organism type at the corresponding target frequency.

[0022] The analysis of the effective range of the UV lamp assembly at the installation location includes the following steps: The surface of the hull below the waterline is uniformly divided into at least one segment. The distance from the center of the segment to the installation position is taken as the distance between the segment and the installation position. The segment is paired with the nearest installation position. The effective range of the ultraviolet light group at the installation position is the segment corresponding to the installation position.

[0023] Dividing the portion of the hull below the waterline into at least one local area, and pairing the local area with the UV lamp assembly at the installation location, includes the following steps: The segmented blocks corresponding to the installation location are aggregated to form a local area, and the local area formed by the installation location is paired with the ultraviolet lamp at the installation location.

[0024] Each UV light group manages a corresponding local area. The effect of UV light groups on local areas without a corresponding relationship is relatively small due to distance limitations. Therefore, when considering the biological repulsion of local areas, only the parameter settings of the UV light group corresponding to the local area are considered.

[0025] Reference Figure 3 As shown, the analysis to obtain the real-time seawater temperature of a local area includes the following steps: The average pixel value is obtained by taking the average pixel value of the pixels in the actual infrared image. The temperature corresponding to the average pixel value is taken as the actual temperature of the actual infrared image. The real-time seawater temperature of the local area is obtained by averaging the actual temperatures of at least one actual infrared image of the local area.

[0026] Different pixel values ​​in an infrared image correspond to different temperatures, which is known in advance. Therefore, when a pixel value is acquired, its corresponding temperature can also be acquired. Real-time seawater temperature is obtained by averaging multiple consecutive actual infrared images. Since the control is not continuous, it is necessary to statistically analyze the temperature at multiple time points to obtain a relatively stable temperature. Using this temperature for control results in higher accuracy.

[0027] Reference Figure 4 As shown, the analysis of real-time seawater flow velocity and biological distribution in a local area includes the following steps: The temperature corresponding to the pixel value of a pixel is identified in the actual infrared image and used as the temperature of the pixel. The pixel with the lowest temperature in the actual infrared image is used as the feature point of the actual infrared image. Arrange at least one actual infrared image in chronological order, overlap adjacent actual infrared images, and use the distance between feature points of the overlapped adjacent actual infrared images as the initial distance; The actual distance corresponding to the unit image distance in the actual infrared image is obtained in advance. The preliminary distance is divided by the unit image distance and then multiplied by the actual distance to obtain the seawater movement distance. The seawater movement distance is divided by the acquisition time interval of adjacent actual infrared images to obtain the preliminary seawater flow velocity. The average value of at least one preliminary seawater flow velocity is taken to obtain the real-time seawater flow velocity of the local area. Pre-acquire sample images of at least one organism from the organism type, extract the organism contours from the sample images, and summarize at least one organism contour of the organism type to form a set of organism contours for the organism type. At least one sampling point is uniformly selected in the interval (0, 10), and at least one test point is uniformly selected in the interval (0, 360). The biological profile is scaled according to the values ​​of the sampling points to obtain a preliminary biological profile. The preliminary biological profile is then rotated to obtain a preparatory biological profile, where the rotation angle is equal to the values ​​of the test points. The preliminary biological contours generated from the biological contours in the biological contour set of biological types are summarized to obtain the biological type identification feature set; The preliminary biological contours appearing in actual conventional images are used as target biological contours. The area covered by the target biological contours is used as the target region. The target regions of the target biological contours contained in the biological type identification feature set are summarized as the feature regions of the biological type in the local region. The feature regions of the biological type in the local region are summarized as the biological distribution of the local region.

[0028] The actual infrared images are acquired at short intervals. In seawater, the temperature of a point will not change in a short period of time if it does not move. Therefore, the point with the lowest temperature in the actual infrared image is actually the same point. Thus, its movement speed is the same as the movement speed of the seawater. In this scheme, the preliminary seawater flow velocity of adjacent actual infrared images is calculated. When calculating, the difference between the distance in the image and the actual distance is taken into account. Therefore, the corresponding relationship is used to calculate the actual distance. Since there are multiple sets of adjacent actual infrared images, in order to make the calculation more accurate, the average of the preliminary seawater flow velocities of multiple sets of adjacent actual infrared images is taken to obtain the real-time seawater flow velocity of the local area. Generally, the types of organisms in a biological type are limited. For example, there are a limited number of algae species. Since different organisms have different outlines, the biological type can be determined by comparing the outlines. However, for example, we have the outline of algae A, but the attached algae A has issues with age and size. Its size may be too large or too small, and it may be attached in any direction, such as up, down, left, or right. Therefore, it cannot be directly identified. Thus, a set of identification features for biological types is formed. The preliminary biological outlines in the identification feature set contain all possible variations of the biological outlines in the biological type. Therefore, the target biological outline can be identified, and the proportion of the biological type can be determined accordingly. It should be noted that when the identification feature set of a biological type does not include the target biological outline, the feature area of ​​the biological type in the local area is a 0 area, that is, the area is 0. Based on the biological distribution of the biological type in the local area, the operating frequency of the corresponding UV lamp group in the local area can be calculated by weighting. This frequency can effectively drive away the biological types appearing in the local area. The (0, 10) interval is set here because the difference in individual size will not exceed 10 times. Therefore, using the (0, 10) interval to generate the scaling ratio satisfies the actual contour comparison requirements.

[0029] Reference Figure 5 As shown, setting the operating frequency of the UV lamp group for a specific area includes the following steps: The total area is obtained by summing the areas of the feature regions of each biological type within the local region. The weight of each biological type within the local region is obtained by dividing the area of ​​the feature regions of each biological type within the local region by the total area. The target frequency corresponding to the biological type is multiplied by the weight of the biological type in the local area and then summed to obtain the operating frequency of the UV lamp group corresponding to the local area.

[0030] Reference Figure 6 As shown, establishing a UV lamp intensity dissipation model includes the following steps: Based on historical data, the range of seawater’s relative speed to the ship’s hull is obtained, and the range of speed is divided into equal intervals to obtain at least one point of movement. The average distance between the center of a local area and the corresponding UV lamp is taken to obtain the baseline distance; Under the conditions that the seawater velocity is equal to the value of the moving point and the light intensity of the ultraviolet lamp is equal to the preset intensity, the experimental light intensity at the reference distance of the ultraviolet lamp is measured, and the attenuation coefficient is obtained by dividing the experimental light intensity by the preset intensity. By pairing and fitting the values ​​of the moving points with the attenuation coefficients, the moving attenuation function is obtained. Obtain the temperature range of seawater, divide the temperature range into equal intervals, and obtain at least one temperature point; Under the conditions that the seawater temperature is equal to the temperature point and the light intensity of the ultraviolet lamp is equal to the preset intensity, the test light intensity at the ultraviolet lamp is measured, and the decay coefficient is obtained by dividing the test light intensity by the preset intensity. By pairing and fitting the temperature values ​​with the decay coefficients, the temperature decay function is obtained.

[0031] The UV lamp intensity loss model is designed to estimate the light intensity loss caused by temperature and seawater movement. It mainly estimates the proportional relationship before and after attenuation, and this relationship can be used to extrapolate different light intensities.

[0032] Reference Figure 7 As shown, based on the UV lamp intensity dissipation model, setting the operating intensity of the UV lamp group for a local area includes the following steps: The minimum light intensity at which the sample organism is driven away is obtained in advance as the critical light intensity. The average critical light intensity of the sample organisms in the biological type is taken to obtain the target light intensity of the biological type. The initial intensity of the UV light group corresponding to the local area is obtained by multiplying the target light intensity of the biological type with the weight of the biological type in the local area and summing them up. Substituting the real-time seawater flow velocity into the moving decay function yields the actual decay coefficient; substituting the real-time seawater temperature into the temperature decay function yields the actual decay coefficient. Multiplying the actual attenuation coefficient by the actual decay coefficient yields the total attenuation coefficient. Dividing the initial intensity of the UV lamp group corresponding to the local area by the total attenuation coefficient yields the operating intensity of the UV lamp group corresponding to the local area.

[0033] Since the initial intensity is obtained by weighting the distribution of different biological types in a local area, it can effectively meet the biological repulsion needs of that area. However, the light intensity of the UV lamp group cannot be directly set as the initial intensity because the initial intensity will be weakened by seawater temperature and current. Therefore, it is necessary to calculate the actual weakening situation, namely the actual attenuation coefficient and the actual decay coefficient. Then, the light intensity of the UV lamp group corresponding to the local area is set as the operating intensity. After being weakened by seawater temperature and current, the operating intensity can generate the initial intensity of light at the biological sites in the local area, thus achieving a good repulsion effect. When setting up the UV lamp group, the number of UV lamps in the UV lamp group is used as a preset value. The operating intensity is divided by the preset value to obtain the light intensity setting of each UV lamp in the UV lamp group. Since light intensity can be superimposed, but frequency cannot be superimposed, this operation on frequency is unnecessary. The frequency of each UV lamp is set as the operating frequency.

[0034] A shipboard ultraviolet biofouling prevention device integrating visual analysis, used to implement the above-mentioned shipboard ultraviolet biofouling prevention method integrating visual analysis, includes: The ultraviolet light module emits ultraviolet light with a wavelength of 280nm~420nm. The ultraviolet light module includes multiple ultraviolet light units arranged in a distributed manner. The ultraviolet light module is installed by magnetic suction, clamping or embedded installation. The ultraviolet light module is installed on the surface of the waterline of the ship. The surface of the ultraviolet light module is provided with a first outer cover, which is made of light-transmitting optical material. The circuit and control module integrates a temperature sensor, a light sensor, a lidar, a camera, and a water quality monitoring sensor. The circuit and control module provides power to the ultraviolet lamp module and adjusts the light intensity and frequency through an intelligent algorithm. A second outer cover is provided on the surface of the circuit and control module, and the material of the second outer cover is a light-transmitting optical material. The host computer module communicates with the circuit and control module, receives sensor data, analyzes environmental parameters, remotely monitors and adjusts the working status of the UV lamp module through the circuit and control module, and interacts with the shore-based control system or cloud server through wireless communication.

[0035] In summary, the advantages of this invention are as follows: by acquiring the target frequency corresponding to the biological type, and obtaining the biological distribution, real-time seawater temperature, and real-time seawater flow velocity through image analysis, combined with the established UV lamp intensity dissipation model, the light intensity can be intelligently adjusted according to the seawater environment, and the light frequency can be selected. This allows the lighting settings to match the actual situation as closely as possible, thereby improving energy efficiency, optimizing the lighting method, and enhancing the antifouling effect. It can replace or assist traditional antifouling technologies. Compared with traditional methods, UV lamp anti-biofouling technology has significant advantages: it does not rely on chemical coatings, does not release harmful substances, and is more friendly to the marine ecological environment. Furthermore, UV lamps have low maintenance costs and a long service life, thus achieving ship biofouling prevention more efficiently and environmentally friendly.

[0036] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely principles of the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the claimed invention. The scope of protection claimed by the appended claims and their equivalents is defined.

Claims

1. A method for preventing biofouling on ships using ultraviolet light by integrating visual analysis, characterized in that, include: Obtain at least one type of organism attached to the hull, including sponges, algae, barnacles, shellfish, and marine worms; Obtain the target frequency corresponding to the biological type, obtain at least one installation position of the ultraviolet lamp on the surface of the ship, analyze the effective range of the ultraviolet lamp group at the installation position, divide the part of the ship below the water surface into at least one local area according to the effective range, and pair the local area with the ultraviolet lamp group at the installation position. Real-time acquisition of at least one continuous real infrared image of a local area, real-time acquisition of a real conventional image of the local area, the real infrared image is acquired using an infrared device, the real conventional image is acquired using a regular camera; Based on actual infrared images, the real-time seawater temperature of a local area is obtained. Based on actual infrared images and actual conventional images, the real-time seawater flow velocity and biological distribution of a local area are obtained. Based on the biological distribution of a local area, the operating frequency of the corresponding ultraviolet light group for that local area is set. A UV lamp intensity loss model is established, and based on the UV lamp intensity loss model, the operating intensity of the UV lamp group corresponding to the local area is set.

2. The method for preventing bioattachment of ships using ultraviolet light by incorporating visual analysis according to claim 1, characterized in that, The process of obtaining the target frequency corresponding to the biological type includes the following steps: Obtain the wavelength range of ultraviolet light emission from 280nm to 420nm, take the minimum value in the wavelength range as the minimum wavelength, and take the maximum value in the wavelength range as the maximum wavelength; Dividing the speed of light by the smallest wavelength yields the largest frequency, and dividing the speed of light by the largest wavelength yields the smallest frequency. Frequency ranges are formed with the smallest and largest frequencies as endpoints. The frequency intervals are divided at equal intervals to obtain at least one identification point. At least one organism from the organism type is selected as the sample organism. Under the conditions that the intensity of the ultraviolet light is a preset intensity, the frequency of the ultraviolet light is the value at the identification point, and the distance between the ultraviolet light and the sample organism is a preset distance, the average speed of the escape speed of at least one sample organism is taken to obtain the average speed of the identification point. The preset intensity and preset distance are data randomly set based on experience. The value of the identification point with the highest average speed is taken as the target frequency corresponding to the biological type.

3. The method for preventing bioattachment of ships using ultraviolet light by incorporating visual analysis according to claim 2, characterized in that, The analysis to determine the effective range of the UV lamp assembly at the installation location includes the following steps: The surface of the hull below the waterline is uniformly divided into at least one segment. The distance from the center of the segment to the installation position is taken as the distance between the segment and the installation position. The segment is paired with the nearest installation position. The effective range of the ultraviolet light group at the installation position is the segment corresponding to the installation position.

4. The method for preventing bioattachment of ships using ultraviolet light by incorporating visual analysis according to claim 3, characterized in that, The process of dividing the portion of the hull below the waterline into at least one local area and pairing the local area with the ultraviolet light group at the installation location includes the following steps: The segmented blocks corresponding to the installation location are aggregated to form a local area, and the local area formed by the installation location is paired with the ultraviolet lamp at the installation location.

5. The method for preventing bioattachment of ships using ultraviolet light by incorporating visual analysis according to claim 4, characterized in that, The analysis to obtain the real-time seawater temperature of a local area includes the following steps: The average pixel value is obtained by taking the average pixel value of the pixels in the actual infrared image. The temperature corresponding to the average pixel value is taken as the actual temperature of the actual infrared image. The real-time seawater temperature of the local area is obtained by averaging the actual temperatures of at least one actual infrared image of the local area.

6. The method for preventing bioattachment of ships using ultraviolet light by incorporating visual analysis according to claim 5, characterized in that, The analysis to obtain real-time seawater flow velocity and biological distribution in a local area includes the following steps: The temperature corresponding to the pixel value of a pixel is identified in the actual infrared image and used as the temperature of the pixel. The pixel with the lowest temperature in the actual infrared image is used as the feature point of the actual infrared image. Arrange at least one actual infrared image in chronological order, overlap adjacent actual infrared images, and use the distance between feature points of the overlapped adjacent actual infrared images as the initial distance; The actual distance corresponding to the unit image distance in the actual infrared image is obtained in advance. The preliminary distance is divided by the unit image distance and then multiplied by the actual distance to obtain the seawater movement distance. The seawater movement distance is divided by the acquisition time interval of adjacent actual infrared images to obtain the preliminary seawater flow velocity. The average value of at least one preliminary seawater flow velocity is taken to obtain the real-time seawater flow velocity of the local area. Pre-acquire sample images of at least one organism from the organism type, extract the organism contours from the sample images, and summarize at least one organism contour of the organism type to form a set of organism contours for the organism type. At least one sampling point is uniformly selected in the interval (0, 10), and at least one test point is uniformly selected in the interval (0, 360). The biological profile is scaled according to the values ​​of the sampling points to obtain a preliminary biological profile. The preliminary biological profile is then rotated to obtain a preparatory biological profile, where the rotation angle is equal to the values ​​of the test points. The preliminary biological contours generated from the biological contours in the biological contour set of biological types are summarized to obtain the biological type identification feature set; The preliminary biological contours appearing in actual conventional images are used as target biological contours. The area covered by the target biological contours is used as the target region. The target regions of the target biological contours contained in the biological type identification feature set are summarized as the feature regions of the biological type in the local region. The feature regions of the biological type in the local region are summarized as the biological distribution of the local region.

7. The method for preventing bioattachment of ships using ultraviolet light by incorporating visual analysis according to claim 6, characterized in that, The operation frequency of the UV lamp group corresponding to the local area includes the following steps: The total area is obtained by summing the areas of the feature regions of each biological type within the local region. The weight of each biological type within the local region is obtained by dividing the area of ​​the feature regions of each biological type within the local region by the total area. The target frequency corresponding to the biological type is multiplied by the weight of the biological type in the local area and then summed to obtain the operating frequency of the UV lamp group corresponding to the local area.

8. The method for preventing bioattachment of ships using ultraviolet light by incorporating visual analysis according to claim 7, characterized in that, The establishment of the ultraviolet lamp intensity dissipation model includes the following steps: Based on historical data, the range of seawater’s relative speed to the ship’s hull is obtained, and the range of speed is divided into equal intervals to obtain at least one point of movement. The average distance between the center of a local area and the corresponding UV lamp is taken to obtain the baseline distance; Under the conditions that the seawater velocity is equal to the value of the moving point and the light intensity of the ultraviolet lamp is equal to the preset intensity, the experimental light intensity at the reference distance of the ultraviolet lamp is measured, and the attenuation coefficient is obtained by dividing the experimental light intensity by the preset intensity. By pairing and fitting the values ​​of the moving points with the attenuation coefficients, the moving attenuation function is obtained. Obtain the temperature range of seawater, divide the temperature range into equal intervals, and obtain at least one temperature point; Under the conditions that the seawater temperature is equal to the temperature point and the light intensity of the ultraviolet lamp is equal to the preset intensity, the test light intensity at the ultraviolet lamp is measured, and the decay coefficient is obtained by dividing the test light intensity by the preset intensity. By pairing and fitting the temperature values ​​with the decay coefficients, the temperature decay function is obtained.

9. A method for preventing bioattachment of ships using ultraviolet light by incorporating visual analysis according to claim 8, characterized in that, The method of setting the operating intensity of the ultraviolet lamp group for a local area based on the ultraviolet lamp intensity loss model includes the following steps: The minimum light intensity at which the sample organism is driven away is obtained in advance as the critical light intensity. The average critical light intensity of the sample organisms in the biological type is taken to obtain the target light intensity of the biological type. The initial intensity of the UV light group corresponding to the local area is obtained by multiplying the target light intensity of the biological type with the weight of the biological type in the local area and summing them up. Substituting the real-time seawater flow velocity into the moving decay function yields the actual decay coefficient; substituting the real-time seawater temperature into the temperature decay function yields the actual decay coefficient. Multiplying the actual attenuation coefficient by the actual decay coefficient yields the total attenuation coefficient. Dividing the initial intensity of the UV lamp group corresponding to the local area by the total attenuation coefficient yields the operating intensity of the UV lamp group corresponding to the local area.

10. A shipboard ultraviolet biofouling prevention device integrating visual analysis, used to implement the shipboard ultraviolet biofouling prevention method integrating visual analysis as described in any one of claims 1-9, characterized in that, include: The ultraviolet light module emits ultraviolet light with a wavelength of 280nm~420nm. The ultraviolet light module includes multiple ultraviolet light units arranged in a distributed manner. The ultraviolet light module is installed by magnetic suction, clamping or embedded installation. The ultraviolet light module is installed on the surface of the waterline of the ship. The surface of the ultraviolet light module is provided with a first outer cover, which is made of light-transmitting optical material. The circuit and control module integrates a temperature sensor, a light sensor, a lidar, a camera, and a water quality monitoring sensor. The circuit and control module provides power to the ultraviolet lamp module and adjusts the light intensity and frequency through an intelligent algorithm. A second outer cover is provided on the surface of the circuit and control module, and the material of the second outer cover is a light-transmitting optical material. The host computer module communicates with the circuit and control module, receives sensor data, analyzes environmental parameters, remotely monitors and adjusts the working status of the UV lamp module through the circuit and control module, and interacts with the shore-based control system or cloud server through wireless communication.

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