330 results about "Oil spill" patented technology

The invention discloses an offshore oil spill emergency decision-making method based on satellite remote sensing and big data analysis, and relates to the field of offshore oil spill management, and the main scheme is that the method comprises the steps: calculating an oil spill confidence index through oil spill authenticity data, and judging whether the region is real oil spill or not based on the oil spill confidence index; analyzing the oil spill hazard data, and calculating an oil spill comprehensive hazard index; performing comprehensive analysis on the dynamic diffusion data to obtain a dynamic diffusion risk entropy; performing comprehensive analysis on the dynamic diffusion data to obtain an emergency response efficiency index; the oil spill comprehensive hazard index, the dynamic diffusion risk entropy and the emergency response efficiency index are compared with thresholds in a comprehensive evaluation threshold set, the severity level of the oil spill event is judged, and a corresponding emergency decision strategy is selected according to the severity level of the oil spill event; the technical problems of inaccurate oil spill authenticity judgment, incomplete oil spill harmfulness evaluation and insufficient dynamic diffusion data utilization are solved.

The invention discloses a shipborne radar oil spill detection method and system based on an improved whale optimization algorithm, and relates to the technical field of image processing and mode recognition. The method is characterized by comprising the following steps: preprocessing an acquired shipborne radar image; extracting saliency boundary ratio features of the preprocessed image; extracting an ROI image based on the saliency boundary ratio feature; obtaining an optimal segmentation threshold value by using an improved whale optimization algorithm, and segmenting the ROI image by using the optimal segmentation threshold value to obtain an optimal segmentation image; and performing post-processing on the optimal segmentation image to obtain a final oil film image. According to the method, the difference between the oil spill area and the background is highlighted by extracting the significant features; by improving the whale optimization algorithm, the local search capability of the algorithm is enhanced, and premature convergence is avoided. The method achieves the efficient and accurate recognition of the oil film region, can reduce the false detection rate, and is suitable for the detection scenes of different sea conditions and oil spill types.

The invention provides a marine oil spill emergency resource scheduling method and system based on an improved ant colony algorithm, and relates to the technical field of data processing.The method comprises the steps that on the basis of a modified path transition probability function, multi-target ant colony collaborative optimization is executed on a dynamic resource scheduling architecture, a population is initialized to construct a scheduling path solution, and the scheduling path solution is optimized; calculating a time consumption target and an ecological loss target, iteratively updating pheromone distribution until convergence, and generating a multi-agent non-dominated scheduling strategy; according to a multi-agent non-dominated scheduling strategy, calculating a resource scheduling failure condition probability and an ecological sensitive area damage expected value; and if the scheduling failure conditional probability exceeds a risk tolerance threshold value, an ecological damage expected value is taken as a nonlinear penalty weight, and an anti-disturbance rescheduling mechanism is triggered to generate a flexible scheduling strategy. According to the method, the timeliness and accuracy of emergency resource transportation are improved, and collaborative optimization of'emergency efficiency-ecological protection 'is realized.

The invention discloses a marine oil spill path planning system and method based on multi-source data fusion, and belongs to the technical field of marine environment protection. According to the marine oil spill path planning method, real-time image data of an oil spill area is obtained through a multispectral camera carried by an unmanned aerial vehicle, oil spill thickness, flow velocity and oil contamination component data are collected through multiple sensors carried by a ship, meteorological data such as wind speed, wind direction and sea wave height are obtained, multi-source data are input into a reinforcement learning model, and a marine oil spill path is planned. And data fusion is carried out through dynamic weight distribution, a global optimal path is generated based on fused data, and ship-unmanned aerial vehicle cooperative operation is realized to execute an oil spill recovery task. The system comprises an unmanned aerial vehicle module, a ship module and a ground control module. Experiments show that compared with a ship oil cleaning method which does not adopt multi-source data fusion, the system and the method have the advantages that the path planning efficiency can be improved by 25%, the oil spill diffusion area can be reduced by more than 20%, the recovery efficiency can be improved by 30%, and the response time is less than or equal to 10 minutes.

The invention discloses a marine pipeline leakage point and oil leakage accurate detection system and method, a focused ultrasonic detection module of the system emits ultrasonic focused sound beams to a pipeline wall, a signal acquisition and analysis module is used for receiving an ultrasonic echo signal and performing feature extraction, a fluid noise elimination and compensation module filters and corrects the signal, and a detection module is used for detecting the leakage point and oil leakage of a marine pipeline. The sensor array attached to the pipe wall can monitor the temperature, pressure and environment change of the marine pipeline in real time, the control and feedback unit automatically adjusts the focus depth and acoustic beam energy according to an analysis result, fine scanning and enhanced detection of a target area are achieved, and finally leakage point space coordinates and leakage rate estimated values are output. The system can stably operate for a long time in a high-noise and high-pressure marine environment, is high in detection sensitivity and strong in anti-interference capability, can achieve millimeter-level leakage point positioning precision, and is suitable for online health monitoring and intelligent safety management of marine oil and gas conveying pipelines, offshore wind power cooling systems and deep sea energy channels.

The invention provides a sea surface oil spill GNSS reflection signal simulation system and method, and the method comprises the steps: building an oil spill sea surface dielectric constant module, determining the effective dielectric constant of an oil spill sea surface, and obtaining a Fresnel reflection coefficient; establishing an oil spill sea surface rough spectrum module, obtaining a model of a sea wave spectrum of the oil spill sea surface according to a traditional model of the sea wave spectrum and the influence of oil spill on the sea wave spectrum, and obtaining a surface spectral density function and a surface root-mean-square height; establishing a microwave scattering module of the oil spill sea surface, and determining a microwave scattering coefficient according to the Fresnel reflection coefficient, the surface spectral density function and the surface root-mean-square height; a DDM simulation module is established, and a DDM waveform is obtained through simulation according to the GNSS signal parameters and the microwave scattering coefficients; and the DDM waveform is obtained through simulation of each module. According to the simulation system and method, a unified mathematical model is established to describe the relation between the oil film and the GNSS reflection signal, and accurate simulation of the influence of the oil film on the GNSS reflection signal is achieved.

An event chain-oriented offshore oil spill dynamic risk assessment method comprises a data preparation stage, an event chain modeling stage and a dynamic risk assessment stage, and the data preparation stage comprises the steps of A, determining a risk assessment area and a risk assessment unit; the event chain modeling stage comprises the steps of B, oil spill event chain construction and node analysis; the dynamic risk assessment stage comprises the steps that C, from the perspective of quantitative risk assessment, the risk index of a current oil spill event, the vulnerability index of a disaster-bearing body and the risk index of a native event are calculated respectively, and oil spill native event risk assessment is executed; step D, oil spill secondary / derivative event risk assessment; step E, oil spill event chain risk assessment; and step F, carrying out oil spill event chain risk early warning grade division. The evaluation method analyzes and evaluates the influence object of the oil spill event and the risk of secondary / derivative events caused by further disaster due to disaster elements contained in the influence object or the disaster event from the perspective of event evolution.

The invention provides an unmanned aerial vehicle aerial photography petroleum leakage intelligent detection method and system fused with a MobileNetV4 lightweight network, and belongs to the field of petroleum leakage detection. The method aims to solve the problems of low accuracy and high missing report / false report rate caused by excessive background interference, low resolution and noise of a data set in the petroleum leakage detection process. And the model parameter quantity is large and cannot be deployed on the unmanned aerial vehicle equipment. The method comprises the following steps: constructing a petroleum leakage data set, and carrying out data preprocessing; a MobileNetV4 network model is constructed; building an experimental environment, initializing grid parameters, and training a model; and evaluating the effectiveness of the model in petroleum leakage detection through a standard evaluation index. According to the method, the accuracy of petroleum leakage detection can be remarkably improved, the missing report rate and the false report rate are remarkably reduced, meanwhile, the parameter quantity and the calculation complexity of the model are reduced, and real-time detection tasks can be conveniently deployed and efficiently executed on the unmanned aerial vehicle.

The invention discloses an oil spill detection method and system based on reinforcement learning and an improved optimization algorithm, and relates to the technical field of offshore oil spill detection. The method comprises the following steps: preprocessing a collected sea surface radar image; performing interest region extraction on the preprocessed sea surface radar image by using a Q-learning reinforcement learning algorithm to obtain an oil film region map; obtaining an optimal segmentation threshold value by using an improved intelligent optimization algorithm, and segmenting the oil film region graph by using the optimal segmentation threshold value to obtain a segmented image based on the optimal segmentation threshold value; and post-processing the segmented image based on the optimal segmentation threshold to obtain a final oil film segmented image. According to the method, the segmentation result of the oil spill image is more accurate, and a reliable foundation is laid for subsequent oil film recognition.

The invention discloses a petroleum pollutant diffusion dynamic tracking simulation method, device and equipment, and relates to the technical field of pollutant diffusion simulation, and the method comprises the steps: determining a multi-dimensional simulation working condition of pollutant diffusion in a target water body region; establishing an unstructured grid hydrodynamic model of the target water body area according to the multi-dimensional simulation working condition; an oil spill prediction model is constructed based on the unstructured grid hydrodynamic model, and the diffusion process of pollutants is simulated according to the oil spill prediction model; if the pollutants are non-soluble petroleum pollutants, the oil spill prediction model is a four-process coupling model including diffusion motion, wind-induced drift, turbulent diffusion and weathering degradation, and if the pollutants are soluble petroleum pollutants, the oil spill prediction model is a convective diffusion model. The simulation precision of the diffusion process and the influence range of the petroleum pollutants can be improved, the simulation precision is improved by 30% or above, and the method is particularly suitable for emergency decision support of closed water bodies such as reservoirs.

Systems and methods for tracking and remediating oil in a body of water include monitoring the data from the satellite for indications of an oil spill. In response to determining that the indications of oil spill are present, assessing whether criteria for triggering a forecasting process are met. In response to determining that criteria for triggering a forecasting process have been met, running a forecasting process including: (i) delineating polygons where oil is determined to be present based on the data from the satellite; (ii) receiving meteorological and hydrodynamic data for the body of water; (iii) running a trajectory model using the polygons as initial conditions for the oil spill to forecast future locations of the oil spill; and sending instructions to a vessel in the body of water.

The invention provides a sea surface oil spill monitoring system based on a GNSS-R receiver. The sea surface oil spill monitoring system comprises an unmanned aerial vehicle platform, the GNSS-R receiver, a signal processing module, an oil spill feature extraction module, a data storage and transmission module and a ground station data processing module, wherein the GNSS-R receiver, the signal processing module, the oil spill feature extraction module and the data storage and transmission module are installed on the unmanned aerial vehicle platform and connected in sequence. According to the system, the GNSS-R receiver acquires the GNSS scattering signals on the surface of the ocean by acquiring the reduced polarization, the requirements of independent inversion and application of parameter inversion of typical disasters of the ocean can be effectively met, the GNSS-R receiver supports multi-band and multi-polarization GNSS scattering signal receiving, the oil spill detection precision and reliability are improved, and the reliability of the system is improved. And high-precision oil spill detection can be realized under complex meteorological conditions.

The embodiment of the invention relates to the technical field of computer vision, in particular to a water surface oil spill detection method based on infrared polarization imaging and polarization characteristic enhancement, which comprises the following steps: shooting a target area within a specific observation angle by using an infrared polarization camera to obtain an infrared polarization mosaic image, the polarization information difference between the spilled oil in the target area and the water surface is maximized; inputting the infrared polarization mosaic image into a polarization feature enhancement network for denoising and demosaicing processing to obtain a multi-dimensional polarization information image so as to enhance the contrast ratio of spilled oil of the target area to the water surface; and inputting the multi-dimensional polarization information image into a detection backbone network, firstly extracting oil spill characteristics through a middle layer of the detection backbone network, then carrying out oil spill detection through a detection head of the detection backbone network, and finally obtaining and outputting an oil spill detection result of the target area. According to the method, the precision and speed of water surface oil spill detection are greatly improved.

The invention discloses an oil spill treatment ship based on a multifunctional integrated cabin and application of the oil spill treatment ship, and belongs to the technical field of water surface environment protection. The ship comprises a deck, a cabin body below the deck and a navigation bridge installed on the surface of the deck. The top face and the interior of the navigation bridge are fixedly connected with a camera and a water surface oil spill emergency treatment system correspondingly. A mechanical arm base and a mechanical arm movably connected to the mechanical arm base are fixedly connected to the surface of a deck in front of the navigation bridge, a transverse oil suction roller is fixedly connected to the front end of the mechanical arm, and outward-opening arm unfolding plates are fixedly connected to the positions, on the two sides of the oil suction roller, of the prow; the cabin body is divided into a port treatment area and a starboard treatment area by a longitudinal isolation wall extending along the direction of the cabin body keel; an oil spill recovery cabin and a garbage compression cabin are sequentially arranged in the larboard treatment area from a ship bow to a ship stern; a sand excavation monitoring cabin is arranged in the starboard treatment area; and the stern parts of the port treatment area and the starboard treatment area are isolated to form a shared power cabin, so that a cabin body structure with compact space and integrated functions is formed.

The invention provides a target detection method and system based on an improved topological myxin algorithm and a neural network, and relates to the technical field of target detection. The method is characterized by comprising the following steps: extracting saliency and boundary proportion characteristics from original radar image data, and obtaining an oil spill region-of-interest image; obtaining an optimal segmentation threshold value by using an improved topological myxomycete optimization algorithm, and carrying out optimal segmentation on the oil spill region-of-interest image in combination with a neural network to obtain a final segmented image; wherein the improved topological myxomycete optimization algorithm comprises the steps of converting fitness into a pressure index, dynamically updating conductivity based on an evaporation-growth mechanism, calculating information flow among myxomycete individuals in combination with the pressure index and the conductivity, and updating a myxomycete center based on the information flow. The method weakens the influence of wave reflection and mist interference on the segmentation result, improves the precision and robustness of oil spill identification, balances the precision and real-time performance of oil spill segmentation under the dynamic sea condition, and can meet the real-time processing requirements of maritime affair supervision and other scenes.

Systems and methods for quantifying and remediating an oil spill in a body of water can include obtaining a synthetic aperture radar image of the body of water and / or a multispectral image of the body of water. One or more features representing a physical feature of a surface of the body of water can be extracted from the image(s). The extracted features can be processed using a machine learning model trained with labeled image data representing instances of oil on the surface of the body of water to associate oil appearances code with portions of the surface of the water body based on the extracted features. Based on the processing, areas of the body of water associated with each oil appearance code as well as locations and volumes of oil in the body of water can be determined.

The invention discloses an offshore oil spill multi-source data fusion monitoring method and system based on deep learning, and the method comprises the steps: collecting remote sensing data and land-sea data of a preset region, and carrying out the preprocessing of the remote sensing data and the land-sea data; carrying out oil spill identification according to the synthetic aperture radar data to obtain a suspected oil spill area, and carrying out comparison and oil-like film removal on the suspected oil spill area according to the remote sensing data and the land-sea data to obtain an adjusted oil spill area; performing time sequence discrimination feature extraction on the remote sensing data and the land-sea data of the adjusted oil spill area to obtain an oil spill discrimination rule, and constructing a fusion monitoring function in the adjusted oil spill area according to an oil spill evaluation index; and according to the oil spill distinguishing rule and the fusion monitoring function, guiding to combine a wind field and the ocean current data to construct an offshore oil spill multi-source fusion monitoring model, inputting to-be-monitored data into the offshore oil spill multi-source fusion monitoring model, and outputting a monitoring result.

The invention provides an image processing system and method for petroleum pipeline leakage detection, and belongs to the technical field of image processing.The method comprises the steps that a global edge feature map of a petroleum pipeline is extracted from a pipeline monitoring image, and a pipeline structure feature point set of the petroleum pipeline is extracted from a contour curve in the global edge feature map; extracting an oil stain identification mask of the petroleum pipeline according to a gradient modulation coefficient matrix determined by the spatial density distribution of the pipeline structure feature point set; initializing a closed evolution curve surrounding the suspected petroleum leakage area, performing evolution on the closed evolution curve by using an edge constraint function constructed by the pipeline structure feature point set and the oil stain identification mask, and detecting a spatial relationship between the current position of the closed evolution curve and the pipeline structure feature point set; and segmenting a petroleum leakage area of the petroleum pipeline according to the spatial relationship. According to the technical scheme, segmentation of the petroleum leakage boundary can be achieved in the state that the contrast ratio of the weak edge of the oil stain diffusion area and the pipeline metal surface is insufficient.

A system for emergency planning and response to an incident related to the oil and gas industry comprising one or more databases that store data of oil spills and trajectories models, real-time locations of emergency vehicles, H2S gas sensors, LEL gas sensors, and corrosion pumps real-time readings, real-time weather stations, gas wells cross sections drawings and locations of daily drilling rigs. The system further comprises ERP, satellite imagery or aerial photography, and AVL; one or more servers; an ERP system; an electronic display device; and a GIS. The GIS comprises a processing system, and a GIS map displayed by the electronic display device. The GIS map is configured to display a common operating visual of the incident to incident personnel as it unfolds and to locate the emergency vehicles near to the incident.

The invention relates to the technical field of marine oil spill pollution monitoring, in particular to an oil spill monitoring method and system combined with an image analysis processing technology. Comprising the following steps: S1, acquiring an initial oil spill diffusion path through remote sensing monitoring equipment, extracting a floating ice distribution image in a coverage area of the initial oil spill diffusion path, selecting the floating ice distribution image at the tail end of the initial oil spill diffusion path as a reference image, and establishing an association relationship of adjacent floating ice space distribution characteristics; s2, based on the association relationship, screening a floating ice distribution image with the lowest edge structure similarity and the weakest texture distribution consistency as a minimum feature sample; and realizing dynamic matching of the oil-ice complex based on the edge structure attribute of the minimum feature sample. According to the invention, based on floating ice multi-mode association, the edge structure and texture consistency quantitative relationship is established, accurate identification of the oil film state and analysis of the morphological evolution period are realized, and the polar region oil spill monitoring precision and environmental adaptability are improved.

The invention discloses a method for identifying sea surface oil spill, and relates to the technical field of image identification. The method comprises the following steps: S1, acquiring an original oil spill image with a sea surface oil film and an SAR oil spill image, and carrying out denoising and enhancement preprocessing on the original oil spill image to obtain a preprocessed oil spill image; s2, extracting color features from the preprocessed oil spill image, extracting texture features from the SAR oil spill image, and performing multi-source information fusion on the color features and the texture features to obtain an oil spill image after feature fusion; s4, a sea surface oil spill recognition network is adopted to recognize the to-be-detected image, a recognition result is obtained, and the sea surface oil spill recognition network comprises a C3 module, an SPPF module, an Upsanple module, a Concat module, a C2f module, a SimAM attention mechanism and the like; through the oil spill image after feature fusion, the sea surface oil spill identification network and the like, sea surface oil spill identification is more accurate.

The invention discloses blowout prevention oil exploitation equipment, and relates to the technical field of oil exploitation equipment, the blowout prevention oil exploitation equipment comprises a bottom plate main body, the top of the bottom plate main body is movably connected with an oil spill prevention assembly, the inner upper end of the oil spill prevention assembly is provided with a limiting assembly, and the outer side of the oil spill prevention assembly is provided with a filtering assembly; the oil spill prevention assembly comprises a protective cover movably connected with the top of the bottom plate body. When the sealing piston compresses the buffer spring to move upwards until the buffer spring is compressed to the limit, a limiting insertion rod is matched to be inserted into a limiting insertion hole in the upper annular fixing box, limiting of the upper annular fixing box and the sealing piston is completed, and the buffer spring is locked; and the situation that due to the fact that a buffer spring exerts downward thrust on a sealing piston through the elastic force of the buffer spring, petroleum in an inner shell is subjected to downward extrusion force, pressure relief of an oil well is not facilitated, meanwhile, a part of petroleum is extruded to seep from the bottom of the protective cover and the bottom of the bottom plate body, and resource waste is caused is prevented.

The application relates to the technical field of oil spill recovery devices, in particular to an oil spill recovery device in a narrow sea area and a recovery method thereof, which comprises a device body capable of floating on the sea surface, oil absorption foam for absorbing the oil spill, a squeezing mechanism for squeezing the oil absorption foam for absorbing the oil spill, and a control unit, the device body is provided with a power mechanism for controlling the displacement of the device body on the sea surface, the device body is provided with a launching mechanism for launching the oil absorption foam to the oil spill sea area, and the device body is provided with a recovery mechanism for recovering the oil absorption foam for absorbing the oil spill; when in use, the device rationally solves the oil product recovery influenced by factors such as distance, range and viscosity, improves the purity and efficiency of the oil product recovery, solves the problem of oil spill leakage in a narrow area, and there is no mature device for the oil spill recovery in the leakage area due to the too small distance and range, so that the device cannot enter the leakage area for the oil spill recovery.

The invention discloses a semi-automatic extraction method for marine oil spill and analogues based on a dual-polarized SAR image. The method comprises the steps that the dual-polarized SAR image is screened and preprocessed; calculating to obtain three types of features of elements in the first row and the first column of the polarization covariance matrix, polarization combination features and texture entropy, and performing superposition and fusion to generate a three-channel feature image; generating a corresponding mask file by an artificial expert by referring to latitude and longitude information of the offshore oil spill area and combining the three types of features; cutting the three-channel feature image based on a mask to obtain a sample set, screening samples of spilled oil and analogues, and dividing the samples into a training set and a verification set; a DeepLabV3 + model is adopted to learn image features, a verification set is utilized to evaluate model precision, a trained model is finally output, a to-be-detected dual-polarized SAR image is input into the trained model, and oil spilling and analogue areas can be automatically extracted. According to the invention, a target is identified in a semi-automatic manner, and automatic detection of marine oil spill and analogues is realized step by step.

The application belongs to the technical field of marine environmental protection and functional materials, and particularly relates to a marine oil stain adsorbing material based on a mussel bionic structure, a preparation method and a device, which comprises a porous base material, a polydopamine interface layer and a metal-polyphenol network; the porous base material has three-dimensionally connected pores; the polydopamine interface layer is formed on the surface and internal pores of the porous base material through self-oxidation polymerization of dopamine; and the metal-polyphenol network is formed by coordination of transition metal ions and plant polyphenols on the polydopamine interface layer. By constructing a PDA-metal-polyphenol ternary synergistic interface, efficient capture and firm combination of high-viscosity crude oil are realized, a hierarchical porous structure is induced to form through an ozone rapid polymerization method, and the adsorption kinetics and thermodynamic performance are comprehensively improved, and after saturation of the material, the material can be quickly recovered through an external magnetic field, and regeneration can be realized through pH adjustment or heating.

A seaborne sewage disposal unmanned ship laying and recovery device comprises a shell structure of a laying cabin body, a hinge linkage framework structure and an automatic control module. The shell structure of the laying cabin body comprises a base, three-side shell fixing plates, a rail baffle and a cabin cover door. The hinge linkage framework structure comprises an unmanned ship bearing cabin, a bearing cabin supporting linkage mechanism and a sliding rail. The device self-control module comprises a lithium battery, a self-locking stepping motor, an STM32 single-chip microcomputer and a traction rope. The whole device has good mechanical stability, and it can be guaranteed that no structural problems and faults occur when unmanned ship laying and recycling work is conducted for many times. Full automation of the unmanned ship laying and recycling process is achieved, and the unmanned ship laying and recycling device has good adaptability to the offshore oil spill decontamination unmanned ship.

The present application discloses an oil stain detection method, device, equipment and storage medium. The method includes: during the process of heating the to-be-detected cavity to thermal equilibrium, collecting multiple frames of temperature rise data at a preset frequency; determining the temperature rise slope data of multiple pixel points based on the multiple-frame pixel temperature rise data of the multiple frames of temperature rise data; during the process of cooling the to-be-detected cavity to thermal equilibrium, collecting multiple frames of temperature drop data at a preset frequency; determining the temperature drop slope data of multiple pixel points based on the multiple-frame pixel temperature drop data of the multiple frames of temperature drop data; determining the temperature change gradient data of multiple pixel points based on the temperature rise slope data and the temperature drop slope data; determining multiple oil stain edge pixel points among the multiple pixel points based on the temperature change gradient data. The calculation is simple and the cost is low. At the same time, infrared detection has good anti-interference performance and can accurately detect the oil stain situation in the steam environment of the steam oven.

1. Name of the product in this design: Marine oil spill recovery device. 2. Purpose of this design: To collect oil spills on the sea surface. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

The utility model discloses water surface spilled oil recovery equipment which comprises an oil containment boom and a top cover, the top of the top cover is fixedly connected with an oil suction pipe, the oil suction pipe is fixedly connected with an oil collection hopper, the outer surface of the oil suction pipe is provided with a plurality of vertical supporting rods, the vertical supporting rods are arranged in a hollow mode, and the oil collection hopper is fixedly connected with the oil collection hopper. Elastic assemblies are arranged in the multiple vertical supporting rods correspondingly, connecting rods are arranged below the multiple vertical supporting rods correspondingly, and floating balls are fixedly connected to the bottom ends of the multiple connecting rods correspondingly. By means of the structure, the light-weight oil delivery pump has the advantages of being light in weight and small in size, can be directly moved manually, can be lightly put on an oil spilling water surface to be applied, is particularly suitable for being matched with an oil containment boom under the condition that an oil spilling layer is thick, can recycle oil spilling on the water surface more efficiently, and is convenient to use. The oil suction device can directly suck oil, is higher in efficiency, is more convenient in the operation process, reduces the working difficulty, and is stronger in use.

This invention relates to the field of marine technology, specifically disclosing a bilge structure for an oil spill recovery vessel, including an outer bilge plate, ribs, a sealing plate, a lower bilge elbow plate face panel, a lower bilge elbow plate web, and an upper bilge elbow plate; the two ends of the outer bilge plate are respectively connected to the side plates and the bottom plate, and ribs are provided on the inner side of the outer bilge plate away from the bottom plate; the ribs are located on the inner side of the bottom plate, and the ribs are provided with an inner bottom plate and an inner bottom folded edge plate, forming a groove between the inner bottom folded edge plate and the outer bilge plate; the sealing plate is located above the groove; the lower bilge elbow plate face panel is located at the bottom of the sealing plate; the lower bilge elbow plate web is located in the groove; the upper bilge elbow plate is located above the lower bilge elbow plate face panel and is used to connect the lower bilge elbow plate face panel and the ribs; wherein, the outer bilge plate, the inner bottom folded edge plate, the sealing plate, the lower bilge elbow plate face panel, and the lower bilge elbow plate web together form a closed structure, and the closed structure is filled with filling material. This invention eliminates the bilge grooves in the prior art, thereby improving the efficiency of residual oil extraction and cabin cleaning.