209 results about "Oil spill" patented technology

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 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 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 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.

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.

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 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.

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.

The application provides a preparation method of super-hydrophobic cotton cloth with self-cleaning and oil-water separation functions, and belongs to the technical field of functional materials. The preparation method is characterized by the following steps: modifying a commercial cotton cloth by using a silane surfactant to modify a mercapto group, in-situ grafting polybutadiene on the modified cotton cloth by using a photosensitizer in a n-hexane solution, and grafting hydrophobic particles to the cotton cloth by using a bis-mercapto compound. The super-hydrophobic cotton cloth prepared by the application has good super-hydrophobic performance and oil-water separation selectivity, and has a super-high continuous adsorption efficiency of oil in an oil-water mixture, which can reach 99.9%. The application has a simple process and is suitable for industrial production. The super-hydrophobic cotton cloth prepared by the application has high stability, can be recycled, and can be used for repairing water bodies such as marine oil spills and oil-containing industrial wastewater treatment.

The utility model belongs to the technical field of marine oil spill recovery, and relates to a marine oil spill recovery processing device which comprises a base, collecting boxes are fixedly installed at the two ends of the top of the base, the top ends of the two collecting boxes are communicated through a collecting pipe, an oil pumping assembly is arranged at the top of the base, and the output end of the oil pumping assembly is connected with the collecting pipe. An oil collecting tank is arranged at the input end of the oil pumping assembly, two pumping assemblies are arranged at the bottom of the oil collecting tank, a driving assembly is arranged at the top of the base and drives the oil pumping assembly to vertically move up and down, and transmission assemblies are arranged at the two ends of the oil collecting tank and matched with the driving assembly. When the oil pumping assembly moves, the two transmission assemblies drive the two pumping assemblies to swing together. When the oil collecting tank moves up and down, the rack drives the driving gear to rotate and further drives the connecting rod to swing, so that the oil pumping pipe swings, the depth of the oil pumping pipe is changed, the pumping range of the oil pumping pipe is increased, and the oil pumping efficiency is improved.

The application provides a resource configuration method for a marine oil spill emergency equipment warehouse. In response to a decision parameter input by a user on an input interface, resource information corresponding to at least one emergency resource is determined. The decision parameter is used to constrain the implementation effect of a resource configuration scheme generated for a marine oil spill accident. In a case where it is determined that there is at least one resource configuration scheme based on the decision parameter and the resource information corresponding to the at least one emergency resource, a cost value corresponding to each resource configuration scheme is obtained. A resource configuration scheme corresponding to a minimum cost value among the cost values is determined as a target resource configuration scheme, and a first prompt information is generated. The first prompt information is used to prompt handling of the marine oil spill accident based on the target resource configuration scheme, so as to improve the disposal efficiency of the pollution caused by the marine oil spill accident and reduce the loss caused by the marine oil spill accident.

The utility model relates to the technical field of oil spill monitoring, in particular to an ecological monitoring device for oil spill damage determination. During monitoring and early warning, a water sample at the initial stage of oil spilling is reserved, so that the water sample at the initial stage of oil spilling is subjected to subsequent experimental analysis, and comparison and analysis of later field real-time monitoring data and actual water sample data are facilitated; comprising a buoy and a water surface oil film monitoring mechanism installed on the buoy, and further comprises a sampling bottle, an air pump, a sampling pipe, an inflation pipe, an air suction pipe and a communicating pipe, a cavity is formed in the buoy, the water surface oil film monitoring mechanism, the sampling bottle and the air pump are all installed in the cavity, an air bag is arranged at the bottom of the buoy, and a through transverse water flow channel is arranged at the joint of the air bag and the buoy. A standard sampling groove is formed in the inner bottom of the transverse water flow channel, one end of the sampling pipe extends into the inner bottom of the sampling bottle, the other end of the sampling pipe extends into the standard sampling groove, and a sealing cover is arranged at the top of the sampling bottle.

The utility model belongs to the field of ocean engineering technology, concretely relates to a light drive offshore oil spill recovery device, including the float seat, the float seat is opened with the water inlet and the water outlet, the float seat bottom both sides symmetry are provided with the propeller, the float seat inside is provided with the collection mechanism, the float seat top fixed setting has the photovoltaic board mounting seat, the photovoltaic board mounting seat is installed with photovoltaic board and battery, the collection mechanism includes the oil collecting tank, the oil collecting tank is communicated with the oil-water separator through electric oil pump, the oil-water separator fixed mounting is in the float seat inside, is connected with the water outlet pipe and the oil outlet pipe, the water outlet pipe is communicated with the water outlet through the water pump, the utility model discloses adopt photovoltaic board as the main energy source, combines the battery system, provides the sustained stable electric power support for the whole device. This design reduces the dependence on traditional diesel generator or shore power supply, solves the energy supply problem when far away from the coast operation.

The application provides an oil film detection method and system based on region perception and structure guidance, relates to the technical field of oil film detection, and aims to solve the problem of accurate segmentation of the oil film region in a low-contrast and high-noise radar image. The method comprises the following steps: pre-processing original radar image data collected; detecting feature points of the pre-processed image by using an improved KAZE feature detector; converting the detected discrete feature points into a continuous probability density field, extracting a high-density region from the continuous probability density field as a region of interest, and generating an interest image; obtaining an optimal segmentation threshold by using a mirage particle swarm optimization algorithm based on a neural gas network guide, and segmenting the interest image by using the optimal segmentation threshold; and post-processing the segmented image based on the optimal segmentation threshold to obtain a final oil film detection result. The application is especially suitable for a low-contrast and high-noise scene, and can provide an effective technical tool for real-time monitoring of marine oil spills.

The application discloses a kind of multi-energy collaborative heating system risk assessment and regulation method and device, based on improved GNOME model, risk source in multi-energy collaborative heating system is analogized as oil spill source, risk propagation is analogized as oil spill diffusion, by defining risk particle and giving its risk type, risk level, initial position and influence range etc. Property, using similar convection and diffusion mechanism in oil spill model, in combination with energy flow and information transmission in heating system and other factors, the propagation path and change of risk in heating network are simulated. The present application helps to master the risk development trend in real time, early warning potential risks, provides strong support for formulating targeted risk control measures, and ensures the safe, stable and efficient operation of multi-energy collaborative heating system.

The invention provides a monitoring system and method for identifying sea surface oil spill by using a polarization state of light, and belongs to the technical field of beach shallow sea oil spill monitoring, and the system comprises a polarization data acquisition module which is used for acquiring polarization image data of a sea surface oil spill monitoring area; the data transmission module is used for transmitting the polarization image data of the sea surface oil spill monitoring area acquired by the polarization data acquisition module to the polarization data processing module; the polarization data processing module is used for analyzing and processing the received polarization image data of the sea surface oil spill monitoring area acquired by the polarization data acquisition module, carrying out primary identification on sea surface oil spill according to an analysis and processing result, and sending alarm information if the sea surface oil spill is identified to exist; and the control module is used for controlling operation and data processing of the monitoring system. According to the monitoring system and method for identifying the sea surface oil spill, the sea surface oil spill in the beach and shallow sea area is monitored based on the polarization state of light, and the oil spill identification capability can be remarkably improved.

The invention discloses an oil spill tracing method and system based on space-time mapping and dynamic backtracking, and belongs to the technical field of marine environment monitoring and oil spill tracing. The oil spill traceability method is realized through the oil spill traceability system. The method comprises the following steps: acquiring a remote sensing image containing an oil spill area, suspected ship AIS data and marine environment data; calibrating a central skeleton point set of the oil spilling area; space-time mapping is executed for each suspected ship, and reference emission time is calibrated for each skeleton point; performing dynamic reverse backtracking of different durations on the central skeleton point set, and reconstructing a simulated pollution discharge path; and calculating the space-time similarity between the simulated pollution discharge path and the AIS track of the suspected ship, obtaining a comprehensive traceability score, and determining the oil spill source ship. Through space-time mapping and a dynamic backtracking mechanism, a time length basis with physical significance is provided for reverse backtracking, the problem of physical distortion caused by uncertain backtracking time length is solved, and the accuracy and reliability of oil spill traceability of the mobile source are remarkably improved.

The invention provides a port oil spilling sewage treatment method and device, and relates to the technical field of port sewage treatment. The method comprises the following steps: gathering dispersed oil drops in sewage through an acoustic standing wave field to form an oil drop aggregate; injecting a magnetic nano-fluid of which the surface is modified with a bionic coating to form an oil drop-magnetic nano-particle complex; applying a gradient magnetic field to directionally migrate the complex; separating the migration complex from the water phase to obtain oil stain and purified water; and finally, the oil stains are desorbed from the surfaces of the magnetic nano-particles, and the magnetic nano-particles are recovered. According to the method, through the synergistic effect of acoustic aggregation, magnetic adsorption, magnetic field migration and multi-stage separation, efficient separation of oil drops and cyclic utilization of materials are achieved, and the method has the advantages of being high in treatment efficiency, environmentally friendly and low in cost.

The embodiment of the invention provides a hyperspectral oil spill image segmentation method and device, electronic equipment and a medium. The method comprises the following steps: acquiring a hyperspectral oil spill image; inputting the hyperspectral oil spill image into a spatial-spectral joint feature extraction model for processing; then, extracting the spatial-spectral joint features of the hyperspectral oil spill image through a twin network, and obtaining a spatial-spectral joint feature segmentation probability graph through a first classifier; a space structure segmentation probability graph can be obtained through the second classifier; further generating a fusion segmentation probability graph according to fusion of the two probability graphs; and finally, determining a segmentation result of the hyperspectral oil spill image according to the fused segmentation probability graph. According to the embodiment of the invention, through the twin network based on the double-branch structure and the double classifiers, parallel processing is carried out on the spatial-spectral features and the spatial structure at the same time, and compared with a mode of adopting a single classification path, the efficiency and accuracy of hyperspectral oil spill image segmentation can be effectively improved.

The application discloses a quick-expanding underwater oil spill collecting cover, which comprises a recovery pump, an opening-cup device and an opening-cup framework, wherein the bottom of the recovery pump is provided with the opening-cup device, the opening-cup device is provided with the opening-cup framework, the opening-cup device and the opening-cup framework form a cover body structure, a plurality of baffle plates are transversely densely arranged on the opening-cup framework to form a collecting cover surface, the opening-cup framework is rotationally connected with the baffle plates, and the baffle plates are rotationally controlled through a baffle plate control device arranged on the collecting cover. The collecting cover surface is formed in the way that the plurality of baffle plates are transversely densely arranged, the baffle plates rotate around a central shaft, and the function of underwater expansion of the collecting cover is realized. When the collecting cover is lowered to the vicinity of an oil spill point to perform underwater opening, the baffle plates are rotated and opened, are parallel to the direction of the water flow resistance during expansion, greatly reduce the expansion resistance, and realize quick expansion. After the underwater opening is completed, the baffle plates are closed and reset, so that the collecting cover surface is sealed, the water inside and outside the collecting cover is effectively separated, and the function of the collecting cover to collect the oil spill is ensured.

A kind of sea surface oil spill hyperspectral remote sensing detection 1D-CNN model relates to safety risk assessment technical field, including 3 one-dimensional convolution layers, 3 one-dimensional maximum pooling layers and 2 fully connected layers, the model is equipped with adaptive long-term moment estimation (ALTME) optimizer, selects linear rectifier function (ReLU) as activation function, selects multi-classification cross-entropy as loss function.The present application is based on the gradient updating mechanism of ALTME optimizer second momentum term, gives adaptive cumulative learning weight to historical oil spill spectral gradient information, realizes the adaptive selection function of cumulative learning weight by iteration process.Thereby increase the learning proportion of historical spectral information, fully learn oil spill spectral characteristics, realize the cumulative learning function of different batches, long-term oil spill spectral characteristics.Further overcome the problem of poor spectral separability between different kinds of light oil and different thicknesses of heavy oil, accurately identify the type of sea surface oil spill and detect different thicknesses of oil film.