Brightness adjusting method, device and equipment for illuminating lamp of deep sea trencher and storage medium

Abstract

The invention discloses a deep sea trencher illuminating lamp brightness adjusting method and device, equipment and a storage medium, and the method comprises the steps: collecting the current light intensity of illuminating lamps of a deep sea trencher in a plurality of directions at a current time window, and obtaining the target light intensity of the plurality of illuminating lamps; generating respective corresponding light intensity control signals based on the current light intensity of the plurality of illuminating lamps and the corresponding target light intensity; and according to the plurality of light intensity control signals, respectively adjusting the illumination lamp brightness of the respective corresponding illumination lamp. According to the scheme, adaptive adjustment of illumination conditions in a deep sea complex operation environment is realized, the brightness of the illumination lamps in different directions can be dynamically controlled according to real-time illumination feedback requirements, and good visibility and image definition of a key operation area are ensured. The visual effect of the monitoring system of the deep sea trencher is optimized, and meanwhile, the energy of the trencher is fully utilized.

Description

Technical Field

[0001] The present application relates to the technical field of offshore engineering equipment, and particularly relates to a method, device, equipment and storage medium for adjusting the brightness of a deep-sea trencher lighting lamp. Background Art

[0002] With the continuous deepening of ocean resource development, deep-sea engineering equipment is increasingly widely used in operations such as laying submarine communication cables, burying oil and gas pipelines, and geological exploration. As a key operation equipment among them, a deep-sea trencher usually works in a complex environment with a water depth of hundreds or even thousands of meters. Due to the severe shortage of natural light in the deep-sea area, and the strong absorption and scattering effects of seawater on light, it is necessary to rely on high-intensity artificial lighting lamps to ensure the imaging quality of the camera and the visibility of the operation area.

[0003] In the prior art, multiple high-brightness lighting lamps with fixed directions are usually configured on the trencher, but the brightness of most of these lighting lamps is set manually or controlled by a simple fixed value, lacking the ability to dynamically sense and adjust to the brightness of the actual operation environment. The lighting in the operation area is prone to being too dark or overexposed, affecting image clarity and operation accuracy; there may be differences in the lighting requirements in different directions, and the lighting resources cannot be reasonably allocated, resulting in energy consumption waste and even interference with visual recognition tasks.

[0004] Therefore, there is an urgent need for a control method that can automatically adjust the brightness of lighting lamps in multiple directions according to the changes in the actual operation environment, so as to improve the visibility, safety and intelligent level of deep-sea trenching operations. Summary of the Invention

[0005] The present application provides a method, device, equipment and storage medium for adjusting the brightness of a deep-sea trencher lighting lamp. By collecting the light intensity of the lighting lamps on the deep-sea trencher in multiple directions in the current time window, and combining with the target light intensity corresponding to each lighting direction, a light intensity control signal for controlling the brightness of the lighting lamp is generated, so as to realize the adaptive adjustment of the brightness of the lighting lamps in each direction.

[0006] In a first aspect, the present application provides a method for adjusting the brightness of a deep-sea trencher lighting lamp, including:

[0007] Collect the current light intensity of the lighting lamps on the deep-sea trencher in several directions in the current time window, and obtain the target light intensity of the multiple lighting lamps;

[0008] Generate respective light intensity control signals based on the current light intensity and the corresponding target light intensity of the multiple lighting lamps;

[0009] Adjust the lighting brightness of the respective corresponding lighting lamps according to the multiple light intensity control signals.

[0010] Second aspect, the present application provides a brightness adjustment device for the lighting lamps of a deep - sea trencher, including:

[0011] A light intensity acquisition module, configured to collect the current light intensity of the lighting lamps of the deep - sea trencher in several directions within the current time window, and obtain the target light intensity of multiple said lighting lamps;

[0012] A light intensity control generation module, configured to generate respective light intensity control signals based on the current light intensity and the corresponding target light intensity of multiple said lighting lamps;

[0013] A lighting brightness adjustment module, configured to adjust the lighting brightness of respective corresponding lighting lamps according to the multiple light intensity control signals.

[0014] Third aspect, the present application provides a brightness adjustment device for the lighting lamps of a deep - sea trencher, including:

[0015] One or more processors;

[0016] A memory, storing one or more programs, when the one or more programs are executed by the one or more processors, enabling the one or more processors to implement the brightness adjustment method for the lighting lamps of the deep - sea trencher as described in the first aspect.

[0017] Fourth aspect, the present application provides a storage medium containing computer - executable instructions, and the computer - executable instructions are used to execute the brightness adjustment method for the lighting lamps of the deep - sea trencher as described in the first aspect when executed by a computer processor.

[0018] In the present application, by collecting the current light intensity of the lighting lamps of the deep - sea trencher in several directions within the current time window, the target light intensity of multiple lighting lamps is obtained; based on the current light intensity and the corresponding target light intensity of multiple lighting lamps, respective corresponding light intensity control signals are generated; and then the brightness of the corresponding lighting lamps is adjusted according to each light intensity control signal. Through the above - mentioned solution, the dynamic adaptive adjustment of the brightness of the lighting lamps in different directions of the deep - sea trencher is realized, effectively improving the lighting uniformity of the operation environment and the image acquisition quality, and enhancing the safety and operation efficiency of deep - sea operations. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 is a flowchart of a brightness adjustment method for the lighting lamps of a deep - sea trencher provided by an embodiment of the present application;

[0020] Figure 2 is a structural diagram of a brightness adjustment device for the lighting lamps of a deep - sea trencher provided by an embodiment of the present application;

[0021] Figure 3It is a structural diagram of a brightness adjustment device for a deep - sea trencher lighting lamp provided by an embodiment of the present application. Specific Embodiments

[0022] In order to make the objectives, technical solutions, and advantages of the present application clearer, the following further describes the specific embodiments of the present application in detail with reference to the accompanying drawings. It can be understood that the specific embodiments described herein are only used to explain the present application, rather than limiting the present application. Additionally, it should be noted that for the convenience of description, only parts related to the present application are shown in the drawings, rather than all the content. Before discussing the exemplary embodiments in more detail, it should be mentioned that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although the flowcharts describe the operations (or steps) as being processed sequentially, many of the operations can be performed in parallel, concurrently, or simultaneously. In addition, the order of the operations can be rearranged. The process can be terminated when its operations are completed, but there can also be additional steps not included in the drawings. The process can correspond to a method, function, procedure, sub - routine, sub - program, etc.

[0023] The terms "first", "second", etc. in the description and claims of the present application are used to distinguish similar objects, rather than to describe a specific order or sequence. It should be understood that such data can be interchanged under appropriate circumstances so that the embodiments of the present application can be implemented in an order other than those illustrated or described herein, and the objects distinguished by "first", "second", etc. are generally of the same category, and the number of objects is not limited. For example, the first object can be one or multiple. In addition, "and / or" in the description and claims means at least one of the connected objects, and the character " / ", generally represents an "or" relationship between the associated objects before and after.

[0024] With the continuous development of deep - sea engineering operations, as a key sub - sea operation device, the performance of the lighting system of a deep - sea trencher directly affects the safety and efficiency of operations. However, the deep - sea environment has extremely complex and ever - changing light. The underwater light intensity is affected by multiple factors such as seawater turbidity, operating depth, and operation content. Traditional fixed - brightness lighting solutions are difficult to meet the lighting requirements in multiple directions and scenarios. Especially when multiple lighting lamps of a deep - sea trencher are distributed in different directions, a single fixed - brightness control method results in insufficient lighting in some areas, while there is excessive light in other areas, affecting the quality of camera images and the visual judgment of operators.

[0025] Most existing lighting controls use preset brightness or simple manual adjustment, lacking the ability to perceive ambient light intensity in real time and dynamically adjust the brightness of the lights, making it difficult to adapt to the complex and dynamically changing deep-sea operating environment. In addition, the lack of a coordinated control mechanism based on multi-directional light data leads to low efficiency in the use of lighting resources, resulting in energy waste and uneven lighting, which in turn restricts the level of intelligence and automation of deep-sea trenching operations.

[0026] Therefore, there is an urgent need for an adaptive adjustment method and system that can collect the light intensity of lighting lamps in multiple directions in real time, generate accurate light intensity control signals based on target light requirements, and adjust the brightness of each lighting lamp separately.

[0027] To solve the above problems, this embodiment provides a method for adjusting the brightness of deep-sea trenching machine lighting lamps, which aims to generate corresponding light intensity control signals by collecting the real-time light intensity of lighting lamps in multiple directions and calculating the target light intensity, so as to achieve dynamic adaptive adjustment of the brightness of lighting lamps. This method combines the actual lighting requirements of the deep-sea working environment, and performs fine control of lighting lamps in each direction according to the brightness distribution of the camera image, thereby improving the lighting uniformity and image acquisition quality of the deep-sea trenching machine, enhancing the visibility and safety of the working environment, and effectively solving the problems of uneven lighting and energy waste in traditional lighting solutions.

[0028] The deep-sea trenching machine lighting lamp brightness adjustment method provided in this embodiment can be executed by a deep-sea trenching machine lighting lamp brightness adjustment device, which can be implemented by software and / or hardware, and can be composed of two or more physical entities, or can be composed of one physical entity. For example, the deep-sea trenching machine lighting lamp brightness adjustment device can be an operation and maintenance server used to maintain the normal operation of the business.

[0029] The deep-sea trenching machine lighting lamp brightness adjustment device is installed with at least one type of operating system, wherein the operating system includes but is not limited to the Android system, the Linux system and the Windows system. The deep-sea trenching machine lighting lamp brightness adjustment device can install at least one application based on the operating system, and the application can be an application that comes with the operating system, or an application downloaded from a third-party device or server. In this embodiment, the deep-sea trenching machine lighting lamp brightness adjustment device has at least an application that can execute the deep-sea trenching machine lighting lamp brightness adjustment method.

[0030] For ease of understanding, this embodiment is described by taking the operation and maintenance server as the main body for executing the deep-sea trencher lighting brightness adjustment method as an example.

[0031] Figure 1 A flow chart of a method for adjusting the brightness of a deep-sea trenching machine lighting lamp provided in an embodiment of the present application is given. Figure 1, the method for adjusting the brightness of the deep - sea trencher lighting specifically includes:

[0032] S110. Collect the current light intensity of the lights on the deep - sea trencher in several directions within the current time window to obtain the target light intensity of multiple said lights.

[0033] In this embodiment, the real - time light intensity data of the lights installed on the deep - sea trencher in multiple spatial directions within the current operation time window is collected. A highly sensitive light sensor is equipped near each light. The light sensor is fixed near the lamp body through a sealed pressure - resistant structure and is used to sense the light intensity in the current lighting environment and feedback the sensing result to the control module in the form of an electrical signal in real - time. At the same time, according to the current operation depth, seawater transparency, surrounding particulate concentration, global and local brightness distribution of the camera image, task type, and historical environment data, using the brightness evaluation model and visibility index, calculate and deduce the target light intensity that the lights in each direction should reach under the current environmental conditions, which is used as the reference for subsequent light intensity adjustment. The target light intensity not only considers the requirements of image imaging clarity but also integrates multiple factors such as energy consumption control, visual recognition accuracy, and safety operation specifications to achieve intelligent and refined control of the lighting system in the deep - sea complex environment.

[0034] S120. Generate respective light intensity control signals based on the current light intensity and the corresponding target light intensity of the multiple lights.

[0035] In this embodiment, based on the light intensity data currently collected from the lights in multiple directions and their corresponding target light intensities, perform difference analysis and adjustment strategy calculation to generate independent light intensity control signals for each light. First, quantitatively compare the actual light levels of the lights in each direction with the target light levels, and determine the deviation degree of the current brightness of each light according to the preset brightness error tolerance range and adjustment sensitivity parameters. Subsequently, call the light adjustment model and dynamically generate a light intensity adjustment coefficient through a proportional - integral - derivative control algorithm, adaptive fuzzy control, or a closed - loop adjustment strategy based on image feedback. Combining the error trend between the current brightness state and the target state, output a voltage, current, or digital adjustment signal to instruct the driving circuit of each light to adjust the luminous power, thereby achieving refined brightness control. Through a dynamic regulation mechanism centered on data feedback, effectively ensure that the light intensity output by the lights highly matches the deep - sea operation requirements, and ensure that the image acquisition quality and operation vision clarity meet the actual task requirements.

[0036] S130. Adjust the brightness of the respective corresponding lights according to the multiple light intensity control signals.

[0037] In this embodiment, the actual brightness of the illumination lights corresponding to each direction is driven and adjusted according to multiple light intensity control signals. After receiving each light intensity control signal, the signals are respectively transmitted to the driving units of the corresponding illumination lights. Each driving unit automatically adjusts the working parameters of the illumination lights according to the input control signals, including key control variables such as current magnitude, voltage amplitude, PWM duty cycle, etc., so as to accurately adjust the luminous intensity of the light-emitting elements. By performing real-time regulation on the brightness adjustment circuit built in the illumination module, it is ensured that the light source output is dynamically consistent with the target brightness. In addition, to avoid interference with the image system or the marine ecosystem caused by too rapid brightness changes, a brightness slow change rate threshold can also be set to smooth the illumination change process. The independent and adaptive adjustment of the brightness of the illumination lights in each direction is realized, forming a spatially distributed illumination field that matches the requirements of the actual operation area, improving the clarity and recognizability of image acquisition, and ensuring the continuity and safety of deep-sea operations.

[0038] Optionally, obtaining the target light intensity of the multiple illumination lights includes:

[0039] Obtaining the current captured image taken by the deep-sea trencher in the current time window, and obtaining the target captured brightness of the image captured by the deep-sea trencher.

[0040] Exemplarily, obtain the current operation scene image collected by the camera of the deep-sea trencher within the current time window, perform brightness perception analysis on the image, and determine the target captured brightness of the image captured by the current camera. The image processing module performs brightness histogram statistics, pixel gray level equalization processing or local contrast enhancement on the collected image, and extracts the overall or regional brightness distribution characteristics of the current image; combining the environmental complexity of the operation scene, the seabed reflection characteristics and the target recognition clarity requirements, set the optimal reference value or dynamic brightness curve of the target image brightness. The target captured brightness reflects the best brightness level that balances camera clarity, target recognition rate and illumination energy consumption, and serves as a reference basis for subsequent light adjustment, providing a quantifiable index support for the target light intensity of the illumination lights in each direction. By coupling the image processing results with the task requirement parameters, the acquisition of more targeted and higher environmental adaptability illumination target values is realized.

[0041] Based on the current captured image and the target captured brightness, generate the target light intensity of the multiple illumination lights.

[0042] Exemplarily, based on the current captured image and the target shooting brightness, the target illumination intensities corresponding to the illumination lights in multiple directions are calculated and generated. First, the current image is divided into several spatial regions, each region corresponding to the illumination directions of one or more illumination lights, and image quality parameters such as the average brightness, local contrast, and edge sharpness of each region are extracted. The deviation degree of the brightness of each region from the target shooting brightness is quantitatively calculated to generate the compensation light intensity required for each image region. Through the pre-established mapping relationship between the camera view angle and the illumination direction, the brightness adjustment requirements of the image region are mapped to the corresponding illumination light, and further inversely deduced to obtain the target illumination intensity value that each illumination light needs to output. In addition, according to the importance level of the image region, such as whether it contains key operation targets or path edges, the corresponding target illumination intensity can be weighted and adjusted to improve the priority of illumination in the key region and ensure the optimal sharpness of the operation field of view. The generated multiple target illumination intensities will be used as the basic input for the subsequent illumination control logic to implement an accurate, zoned, and adaptive deep-sea illumination control strategy.

[0043] Optionally, generating the target illumination intensities of the multiple illumination lights based on the current captured image and the target shooting brightness includes:

[0044] Dividing the current captured image into several current shooting regions, extracting the current region brightness of the current shooting regions, and the several current shooting regions respectively corresponding to the illumination lights in several directions.

[0045] Exemplarily, perform image partitioning processing based on spatial geometric modeling on the currently captured image. Combine the real-time attitude information, focal length parameters, imaging perspective of the camera, and the current motion state of the deep-sea trencher to correct image distortion and perform spatial reconstruction on the image. Then, divide the image into several currently captured regions with spatial consistency and direction attributes, and each captured region forms a corresponding relationship with a specific direction space segment in the external working environment. Use a multi-scale brightness analysis algorithm to extract the brightness features of each currently captured region, including brightness description information in multiple dimensions such as average brightness, brightness distribution histogram, local contrast, and dynamic range coverage, and comprehensively form a multi-dimensional index matrix of the current region brightness. To achieve the mapping from the image brightness distribution to the lighting control signal, introduce a set of direction projection models based on three-dimensional registration. The direction projection models take the current internal and external parameters of the camera and the spatial features such as the installation angles, irradiation ranges, and light cone boundaries of multiple lighting lamps as inputs, and combine environmental occlusion prediction and lighting coverage modeling to construct a non-linear mapping relationship between each captured region of the current image and multiple direction lighting lamps. After establishing this region-light source mapping relationship, calculate the light intensity adjustment value to be compensated in the corresponding direction according to the difference between the brightness of each captured region and the preset target brightness. To further improve the lighting adjustment accuracy, introduce a region semantic recognition mechanism. Identify the target regions, boundary structures, key working objects, etc. in the image through a deep learning model, and assign higher brightness compensation weights to them to ensure the image quality of the key working regions in low-light or high-pressure water environments. Based on the above calculation results, output the set of target lighting intensities corresponding to each direction lighting lamp, providing an accurate basis for the generation of the next light intensity control signal and real-time lighting adjustment. This method not only improves the adaptive ability of image perception in complex deep-sea environments but also enhances the intelligence and robustness of the multi-lamp zoning control system.

[0046] Generate the target lighting intensities of the lighting lamps in several directions corresponding to the target captured brightness based on the current region brightness and the current lighting intensity.

[0047] Exemplarily, after obtaining the current brightness values of each image region and the current illumination intensity data of the illumination lights in their associated directions, a function relationship model between regional brightness and illumination response is constructed for each image region in combination with the propagation characteristics of light in the deep-sea medium. The function relationship model between regional brightness and illumination response not only considers the linear and non-linear coupling between the current imaging brightness and illumination output of each region, but also introduces key variables in the underwater light attenuation model, including spectral absorption coefficient, backscattering intensity, field-of-view angle attenuation ratio, and environmental background light interference amount, so as to more accurately depict the actual impact of illumination on regional brightness. Based on the function relationship model between regional brightness and illumination response, the brightness offset of each image region compared to the preset target shooting brightness is calculated, and the adjustment amplitude requirement of the regional brightness is determined accordingly; according to the spatial arrangement parameters of the illumination lights and the shooting perspective model of the camera, the influence coefficient matrix of each illumination light on each image region is deduced. By performing weighted solution on the brightness adjustment requirement and the influence coefficient, the brightness compensation share that each illumination light should undertake is determined, and further based on the current light intensity output level of each illumination light, the target illumination intensity that it needs to reach in the current time window is generated, and the target illumination intensity will be transmitted to the lamp control module for subsequent brightness adjustment control. This step not only realizes the dynamic association adjustment between image brightness and actual illumination, but also effectively takes into account the multi-variable interference factors in the complex deep-sea light environment, improves the accuracy and stability of brightness control, and provides a more reliable visual guarantee for deep-sea operations.

[0048] Optionally, the dividing the current captured image into a plurality of current captured regions includes:

[0049] Obtaining the current shooting angle range of the camera of the deep-sea trencher and the illumination angle ranges of the respective illumination lights.

[0050] Exemplarily, the current spatial attitude parameters of the camera of the deep-sea trencher, including the horizontal rotation angle, vertical pitch angle, and roll angle, are obtained in real time through the built-in attitude sensor and gyroscope, and then the complete three-dimensional shooting angle range of the camera is calculated, covering the horizontal and vertical coverage ranges within its field-of-view angle, ensuring that the actual shooting direction and range change of the camera can be accurately reflected. At the same time, the light-emitting parameters of multiple illumination lights installed on the deep-sea trencher are collected, including the main light-emitting direction angle, beam divergence angle, illumination distance range, and light intensity attenuation characteristics of each illumination light, and in combination with the scattering and absorption characteristics of light propagation in the deep-sea water body, the illumination angle ranges of each illumination light are calculated to form the actual coverage volume of each light beam in space. By constructing the geometric mapping relationship between the camera's field of view and the illumination range of the illumination lights, a foundation is laid for the subsequent brightness adjustment strategy based on image regions, realizing the precise correspondence between the images captured by the camera and the illumination areas of the illumination lights, and further realizing the targeted and efficient dynamic adjustment of the illumination light brightness.

[0051] Based on the shooting angle range and the multiple lighting angle ranges, obtain the coverage image areas of the lighting lamps in the field of view of the camera in several directions.

[0052] Exemplarily, based on the current shooting angle range of the camera and the lighting angle ranges of multiple lighting lamps, use the space coordinate system of the deep-sea trencher to perform three-dimensional geometric mapping on the field of view of the camera, the beam direction, and the divergence angle of each lighting lamp. By combining the internal and external parameters of the camera, construct a projection model of the camera, and project the lighting lamp beams in the three-dimensional space onto the two-dimensional image plane. During the projection process, the optical properties of the deep-sea water body can be considered, including the effects of light scattering, absorption, and refraction on the light distribution, so as to correct the propagation path and intensity distribution of the beam underwater and ensure the accuracy of the mapping result. Accurately calculate the specific coverage area range of each lighting lamp in the image captured by the camera, and form the corresponding relationship between the lighting lamps in several directions and the image areas. In addition, the light intensity distribution curve of the lighting lamp can be combined to determine the influence weight of the light-receiving intensity of different pixel points in the coverage area, which assists in the subsequent dynamic brightness adjustment based on the image brightness feedback. The coverage image area not only provides a spatial basis for the subsequent image area division but also ensures more accurate and efficient brightness control for lighting lamps in different directions, realizing the intelligent and adaptive adjustment of the lighting system of the deep-sea trencher.

[0053] Divide the current captured image into several current shooting areas based on the coverage image area.

[0054] Exemplarily, use the boundary information of the coverage area to divide the image into several mutually independent current shooting areas with clear spatial correspondence relationships. Each area corresponds to the illumination range of one or more lighting lamps in specific directions. The division process not only considers the geometric overlap between areas but also combines the light intensity distribution and the image pixel density to ensure that each shooting area has sufficient representativeness and distinguishability in the image. Through fine division, independent analysis and adjustment of the illumination intensity of different image areas are realized, providing a spatial basis for the accurate control of the lighting lamp brightness in the future, improving the response speed and adjustment accuracy of the overall lighting system, and ensuring the uniformity and stability of the lighting conditions in the operation environment of the deep-sea trencher.

[0055] Optionally, before generating the target illumination intensities of the lighting lamps in several directions corresponding to the target shooting brightness based on the current area brightness and the current illumination intensity, it further includes:

[0056] Perform image recognition on the current captured image and extract the image targets in the captured image.

[0057] Exemplarily, a multi-stage image recognition process is performed on the currently captured image, including image preprocessing, feature extraction, and target detection; in the image preprocessing stage, noise suppression, contrast enhancement, and edge sharpening are performed on the captured image to improve the accuracy of subsequent recognition; through a deep learning model or a target detection algorithm based on a convolutional neural network, image targets in the captured image are extracted, and combined with the spatial distribution information of the targets, the relative lighting requirements of the targets in the current scene are calculated, further assisting in determining the lighting intensity distribution strategy of the lighting lamps in different directions. Multi-scale fusion and time series analysis are performed on the recognition results to filter out misidentifications caused by dynamic environmental changes, ensuring the stability and real-time response ability of lighting adjustment.

[0058] Locate the current shooting area cluster including a plurality of the current shooting areas where the image target is located, and increase the target shooting brightness of the current shooting area cluster.

[0059] Exemplarily, for the target position identified in the image, first, through spatial relationship analysis and target boundary detection techniques, one or more current shooting areas where the target is located are accurately determined, and further, these related current shooting area sets are summarized into a complete current shooting area cluster. This cluster not only covers the main visual range of the target but also includes adjacent areas around it that may be affected by light. Subsequently, based on the overall brightness distribution of the area cluster and the requirements for lighting uniformity and intensity in the deep-sea operation environment, the target shooting brightness of the current shooting area cluster is dynamically adjusted and increased. Combining with the multi-region collaborative optimization algorithm, comprehensively considering the lighting connection and smooth transition between regions, ensuring that the lighting intensity of the target area and its surrounding areas reaches the preset standard, improving the image quality and the accuracy of target recognition, and at the same time avoiding visual blind spots or information loss caused by too strong or too weak local lighting, thereby effectively enhancing the safety and operation efficiency of the deep-sea trencher operation.

[0060] Optionally, after locating the current shooting area cluster including a plurality of the current shooting areas where the image target is located, it further includes:

[0061] Regard the other areas in the current captured image excluding the current shooting area cluster as the background shooting area cluster, and reduce the target shooting brightness of the background shooting area cluster.

[0062] Exemplarily, after completing the positioning of the current shooting area cluster where the image target is located, it further includes dividing the remaining areas in the current captured image except for the target area cluster, and collectively referring to these areas as the background shooting area cluster. For the background area cluster, according to the lighting requirements and visual recognition optimization principles in the deep-sea environment, the lighting intensity thereof is adjusted specifically, and measures are taken to reduce the shooting brightness of the targets in the background area, so as to significantly enhance the brightness contrast between the target area and the background, thereby enhancing the visual prominence effect of the target and the overall clarity of the image. During this process, the brightness adjustment not only considers the spatial distribution characteristics of the background area, but also combines the actual lighting conditions and dynamic changes of the environment, and adopts a multi-level and multi-parameter light intensity adjustment algorithm to ensure that the light in the background area is moderately suppressed, but not overly reduced so as to lose important environmental details or generate overly dark visual blind spots. At the same time, by dynamically balancing the brightness relationship between the background and the target area, it is possible to avoid interference of phenomena such as background light reflection and scattering on target recognition, ensure that the deep-sea trencher has higher imaging quality and recognition accuracy in a complex underwater environment, thereby effectively supporting subsequent automated operations, real-time monitoring, and fault diagnosis, and improving the safety and efficiency of the overall operation.

[0063] Optionally, after adjusting the lighting brightness of each corresponding lighting lamp according to the plurality of light intensity control signals respectively, it further includes:

[0064] After a preset time, re-collect the adjusted light intensity of the lighting lamps of the deep-sea trencher in several directions, and calculate the adjustment deviation corresponding to each of the lighting lamps according to the adjusted light intensity and the target light intensity.

[0065] Exemplarily, after adjusting the brightness of the corresponding lighting lamps according to a plurality of light intensity control signals respectively, wait for a preset time interval to pass, and re-collect the adjusted light intensity data of the lighting lamps of the deep-sea trencher in several directions. Based on the re-collected light intensity, compare and analyze it with the preset target light intensity, and calculate the adjustment deviation value between the current actual light intensity and the target light intensity of each lighting lamp. The deviation calculation not only considers the absolute difference in light intensity, but also combines the dynamic change factors of the lighting environment, and improves the accuracy and robustness of the deviation evaluation through multi-dimensional data fusion and filtering processing. By real-time monitoring and feedback adjustment of the deviation, it is possible to identify deficiencies or abnormalities in the lighting adjustment process, thereby providing a scientific basis for subsequent light intensity optimization control, and ensuring the continuous and stable operation and high-efficiency lighting effect of the deep-sea trencher lighting system in a complex deep-sea environment.

[0066] If there is an adjustment deviation greater than the preset deviation threshold, generate a light intensity adjustment alarm signal.

[0067] Exemplarily, when the adjustment deviation of any lighting lamp is detected to exceed a pre-set deviation threshold, a light intensity adjustment alarm signal is immediately triggered. This light intensity adjustment alarm signal can be transmitted to the upper control system or on-site operators in various ways, including audible and visual alarms, remote notifications, or visual prompts. The alarm mechanism not only indicates that the current brightness adjustment of the lighting lamp fails to achieve the expected effect, but also combines historical adjustment data and environmental change trends to assist in judging possible failure reasons, such as sensor abnormalities, control signal failures, or lamp damage. By issuing an alarm in a timely manner, it ensures that maintenance personnel can respond quickly and take corresponding repair or adjustment measures, thereby avoiding the negative impact of insufficient lighting on the safety and operation quality of deep-sea trenching operations and improving the reliability and intelligent management level of the entire lighting system.

[0068] Based on the above embodiments, Figure 2 The following is a schematic structural diagram of a lighting lamp brightness adjustment device for a deep-sea trenching machine provided by an embodiment of the present application. Refer to Figure 2 The lighting lamp brightness adjustment device for a deep-sea trenching machine provided in this embodiment specifically includes: a light intensity acquisition module 21, a light intensity control generation module 22, and a lighting brightness adjustment module 23.

[0069] Among them, the light intensity acquisition module 21 is configured to collect the current light intensity of the lighting lamps of the deep-sea trenching machine in several directions within the current time window and obtain the target light intensity of the plurality of lighting lamps;

[0070] The light intensity control generation module 22 is configured to generate respective light intensity control signals based on the current light intensity and the corresponding target light intensity of the plurality of lighting lamps;

[0071] The lighting brightness adjustment module 23 is configured to adjust the lighting brightness of the respective corresponding lighting lamps according to the plurality of light intensity control signals.

[0072] Based on the above embodiments, the light intensity acquisition module 21 includes: a target shooting brightness unit configured to obtain the current shooting image of the deep-sea trenching machine within the current time window and obtain the target shooting brightness of the shooting image of the deep-sea trenching machine; a target light intensity unit configured to generate the target light intensity of the plurality of lighting lamps based on the current shooting image and the target shooting brightness.

[0073] Based on the above embodiments, the target illumination intensity unit includes: a current area brightness subunit, configured to divide the current captured image into a plurality of current captured areas, and extract the current area brightness of the current captured areas, where the plurality of current captured areas respectively correspond to the illumination lights in a plurality of directions; a target illumination intensity subunit, configured to generate the target illumination intensity of the illumination lights in the plurality of directions corresponding to the target captured brightness based on the current area brightness and the current illumination intensity.

[0074] Based on the above embodiments, the current area brightness subunit includes: an angle interval acquisition component, configured to acquire the current shooting angle interval of the camera of the deep-sea trencher and the illumination angle intervals of the plurality of illumination lights respectively; a covered image area component, configured to obtain the covered image areas of the illumination lights in a plurality of directions in the field of view of the camera based on the shooting angle interval and the plurality of illumination angle intervals; a current captured area component, configured to divide the current captured image into a plurality of current captured areas based on the covered image areas.

[0075] Based on the above embodiments, the target illumination intensity unit further includes: a target image recognition subunit, configured to perform image recognition on the current captured image and extract the image target in the captured image; a target brightness adjustment subunit, configured to locate the current captured area cluster including a plurality of the current captured areas where the image target is located, and increase the target captured brightness of the current captured area cluster.

[0076] Based on the above embodiments, the target illumination intensity unit further includes: a background brightness adjustment subunit, configured to use the other areas excluding the current captured area cluster in the current captured image as a background captured area cluster, and reduce the target captured brightness of the background captured area cluster.

[0077] Based on the above embodiments, the deep-sea trencher illumination light brightness adjustment device further includes: an adjustment deviation acquisition module, configured to re-acquire the adjusted light intensity of the illumination lights of the deep-sea trencher in a plurality of directions after a preset time, and calculate the adjustment deviation corresponding to each illumination light according to the adjusted light intensity and the target light intensity; an adjustment alarm generation module, configured to generate a light intensity adjustment alarm signal if there is an adjustment deviation greater than the preset deviation threshold.

[0078] As described above, the deep - sea trencher lighting brightness adjustment device provided by the embodiments of the present application can realize real - time light intensity monitoring and intelligent adjustment of the lighting lamps in multiple directions of the deep - sea trencher, ensuring that the lighting environment meets the operation requirements, and improving the visibility and safety of underwater operations. At the same time, the deep - sea trencher lighting brightness adjustment device has dynamic response capabilities, can accurately adjust the brightness of each lighting lamp according to the ambient light change and the target shooting brightness, optimize energy consumption, and extend the service life of the equipment. In addition, through the abnormal deviation detection and alarm function, the device can timely detect and feedback potential faults, ensure the stable operation of the system, and improve the overall operation efficiency and automation level.

[0079] The deep - sea trencher lighting brightness adjustment device provided by the embodiments of the present application can be used to execute the deep - sea trencher lighting brightness adjustment method provided by the above - mentioned embodiments, and has corresponding functions and beneficial effects.

[0080] Figure 3 It is a schematic structural diagram of a deep - sea trencher lighting brightness adjustment device provided by the embodiments of the present application. Refer to Figure 3 As shown in the figure, the deep - sea trencher lighting brightness adjustment device includes: a processor 31, a memory 32, a communication device 33, an input device 34, and an output device 35. The number of processors 31 in the deep - sea trencher lighting brightness adjustment device can be one or more, and the number of memories 32 in the deep - sea trencher lighting brightness adjustment device can be one or more. The processor 31, the memory 32, the communication device 33, the input device 34, and the output device 35 of the deep - sea trencher lighting brightness adjustment device can be connected through a bus or other means.

[0081] The memory 32, as a computer - readable storage medium, can be used to store software programs, computer - executable programs, and modules, such as program instructions / modules corresponding to the deep - sea trencher lighting brightness adjustment method of any embodiment of the present application (for example, the light intensity acquisition module 21, the light intensity control generation module 22, and the illumination brightness adjustment module 23 in the deep - sea trencher lighting brightness adjustment device). The memory 32 mainly includes a program storage area and a data storage area. Among them, the program storage area can store an operating system and application programs required for at least one function; the data storage area can store data created according to the use of the device. In addition, the memory 32 can include high - speed random - access memory, and can also include non - volatile memory, such as at least one magnetic disk storage device, a flash memory device, or other non - volatile solid - state storage devices. In some instances, the memory can further include a memory remotely set relative to the processor, and these remote memories can be connected to the device through a network. Examples of the above - mentioned network include, but are not limited to, the Internet, an enterprise intranet, a local area network, a mobile communication network, and their combinations.

[0082] The communication device 33 is used for data transmission.

[0083] The processor 31 executes various functional applications and data processing of the device by running software programs, instructions, and modules stored in the memory 32, that is, implements the above-mentioned method for adjusting the brightness of the deep-sea trencher lighting.

[0084] The input device 34 can be used to receive input digital or character information and generate key signal inputs related to the user settings and function control of the device. The output device 35 can include display devices such as a display screen.

[0085] The above-provided device for adjusting the brightness of the deep-sea trencher lighting can be used to execute the method for adjusting the brightness of the deep-sea trencher lighting provided in the above embodiment, and has corresponding functions and beneficial effects.

[0086] The embodiment of the present application further provides a storage medium containing computer-executable instructions. The computer-executable instructions are used to execute a method for adjusting the brightness of the deep-sea trencher lighting when executed by a computer processor. The method for adjusting the brightness of the deep-sea trencher lighting includes: collecting the current light intensity of the lighting lamps of the deep-sea trencher in several directions in the current time window, and obtaining the target light intensity of multiple said lighting lamps; generating respective light intensity control signals based on the current light intensity and the corresponding target light intensity of the multiple lighting lamps; and adjusting the lighting brightness of the respective corresponding lighting lamps according to the multiple light intensity control signals.

[0087] Storage medium - any various types of memory devices or storage devices. The term "storage medium" is intended to include: installation media such as CD-ROMs, floppy disks, or magnetic tape devices; computer system memories or random access memories such as DRAM, DDR RAM, SRAM, EDO RAM, Rambus RAM, etc.; non-volatile memories such as flash memories, magnetic media (such as hard disks or optical storage); register or other similar types of memory elements, etc. The storage medium can also include other types of memories or combinations thereof. Additionally, the storage medium can be located in the first computer system in which the program is executed, or can be located in a different second computer system, and the second computer system is connected to the first computer system through a network (such as the Internet). The second computer system can provide program instructions to the first computer for execution. The term "storage medium" can include two or more storage media residing in different locations (such as in different computer systems connected through a network). The storage medium can store program instructions executable by one or more processors (such as specifically implemented as a computer program).

[0088] Of course, for a storage medium containing computer-executable instructions provided in an embodiment of the present application, the computer-executable instructions are not limited to the above method for adjusting the brightness of the deep-sea trencher lighting, and can also execute relevant operations in the method for adjusting the brightness of the deep-sea trencher lighting provided in any embodiment of the present application.

[0089] The device for adjusting the brightness of the deep-sea trencher lighting, the storage medium, and the equipment for adjusting the brightness of the deep-sea trencher lighting provided in the above embodiments can execute the method for adjusting the brightness of the deep-sea trencher lighting provided in any embodiment of the present application. For technical details not described in detail in the above embodiments, reference can be made to the method for adjusting the brightness of the deep-sea trencher lighting provided in any embodiment of the present application.

[0090] The above is only a preferred embodiment of the present application and the technical principles applied. The present application is not limited to the specific embodiments here. Various obvious changes, re-adjustments, and substitutions that can be made by those skilled in the art will not depart from the protection scope of the present application. Therefore, although the present application has been described in more detail through the above embodiments, the present application is not limited to the above embodiments. Without departing from the concept of the present application, it can also include more other equivalent embodiments, and the scope of the present application is determined by the scope of the claims.

Claims

1. A method for adjusting the brightness of the lighting lamp of a deep - sea trencher, characterized in that, Including: Collect the current light intensity of the lighting lamps of the deep-sea trencher in several directions within the current time window, and obtain the target light intensity of multiple said lighting lamps; Generate respective light intensity control signals based on the current light intensity and the corresponding target light intensity of the multiple lighting lamps; Adjust the lighting brightness of the respective corresponding lighting lamps according to the multiple light intensity control signals.

2. The method for adjusting the brightness of the deep-sea trencher lighting lamp according to claim 1, wherein The obtaining the target light intensity of multiple said lighting lamps includes: Obtain the current captured image of the deep-sea trencher within the current time window, and obtain the target captured brightness of the captured image of the deep-sea trencher; Generate the target illumination intensity of multiple said lighting lamps based on the current captured image and the target captured brightness.

3. The method for adjusting the brightness of the deep-sea trencher lighting lamp according to claim 2, characterized in that The generating the target illumination intensity of multiple said lighting lamps based on the current captured image and the target captured brightness includes: Divide the current captured image into several current captured regions, extract the current region brightness of the current captured regions, and several said current captured regions respectively correspond to the lighting lamps in several directions; Generate the target illumination intensity of the lighting lamps in several directions corresponding to the target captured brightness based on the current region brightness and the current illumination intensity.

4. The method for adjusting the brightness of the deep-sea trencher lighting lamp according to claim 3, characterized in that The dividing the current captured image into several current captured regions includes: Obtain the current captured angle range of the camera of the deep-sea trencher and the illumination angle ranges of several lighting lamps respectively; Based on the captured angle range and multiple said illumination angle ranges, obtain the covered image regions of the lighting lamps in several directions in the field of view of the camera; Divide the current captured image into several current captured regions based on the covered image regions.

5. The method for adjusting the brightness of the deep-sea trencher lighting lamp according to claim 3, characterized in that Before the generating the target illumination intensity of the lighting lamps in several directions corresponding to the target captured brightness based on the current region brightness and the current illumination intensity, it further includes: Perform image recognition on the current captured image, and extract the image targets in the captured image; Locate the current captured region cluster including several said current captured regions where the image target is located, and increase the target captured brightness of the current captured region cluster.

6. The method for adjusting the brightness of the deep-sea trencher lighting lamp according to claim 5, characterized in that, After the locating the current captured region cluster including several said current captured regions where the image target is located, it further includes: Take the other regions in the current captured image excluding the current captured region cluster as the background captured region cluster, and reduce the target captured brightness of the background captured region cluster.

7. The method for adjusting the brightness of the deep-sea trencher lighting lamp according to claim 1, wherein, After the adjusting the lighting brightness of the respective corresponding lighting lamps according to the multiple light intensity control signals, it further includes: Re-collect the adjusted light intensity of the lighting lamps of the deep-sea trencher in several directions after a preset time, and calculate the respective corresponding adjustment deviations of each said lighting lamp according to the adjusted light intensity and the target light intensity; If there is an adjustment deviation greater than the preset deviation threshold, generate a light intensity adjustment alarm signal.

8. A brightness adjustment device for the lighting lamp of a deep-sea trencher, characterized in that, Including: A light intensity acquisition module, configured to collect the current light intensity of the lighting lamps of the deep-sea trencher in several directions within the current time window, and obtain the target light intensity of multiple said lighting lamps; A light intensity control generation module, configured to generate respective light intensity control signals based on the current light intensity and the corresponding target light intensity of the plurality of lighting lamps; A lighting brightness adjustment module, configured to respectively adjust the lighting brightness of the respective corresponding lighting lamps according to the plurality of light intensity control signals.

9. A brightness adjustment device for the lighting lamp of a deep-sea trencher, characterized in that, Comprising: One or more processors; A memory storing one or more programs, which when executed by the one or more processors, cause the one or more processors to implement the method for adjusting the lighting brightness of the deep-sea trencher lighting lamps as described in any one of claims 1-7.

10. A storage medium containing computer-executable instructions, characterized in that, The computer-executable instructions, when executed by a computer processor, are used to execute the method for adjusting the lighting brightness of the deep-sea trencher lighting lamps as described in any one of claims 1-7.

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