41 results about "Maritime safety" patented technology

The invention discloses a maritime accident prediction method and device based on interpretable integrated machine learning, and relates to the technical field of maritime affair safety risk analysis, and the method comprises the steps: obtaining accident investigation data, carrying out the preprocessing, balancing the data through a ten-fold layered oversampling method, and carrying out the cross verification training, and determining a performance optimal model by using the test set and carrying out interpretable analysis to explain the influence of the characteristics on the accident prediction result. By constructing a closed-loop'data processing-model optimization-explanation output 'process and adopting SMOTE oversampling and ten-fold layered cross validation training and a heterogeneous base model ensemble learning strategy, the processing capacity of the data imbalance problem of accident categories is improved, the data leakage problem of oversampling is avoided, and the possible bias of a single model is overcome. The interpretability analysis of the model prediction result can quantitatively display the contribution degree of each feature to prediction globally and locally, reveal the nonlinear relationship and interaction effect between the features, and provide transparent interpretation of model decision.

The invention discloses an offshore small target radar detection method and system, and relates to the technical field of radio detection. The method comprises the following steps: acquiring radar echo data, a visible light image, an infrared image, an AIS signal and navigation attitude data in real time; performing sea clutter suppression and pre-filtering on the radar echo data, and correcting target plots in combination with a historical radar plot set to obtain a radar single-source target track set; performing target detection on the visible light image and the infrared image to obtain an optical target detection set and an infrared target detection set; the radar single-source target track set, the optical target detection set, the infrared target detection set, the AIS signals and the navigation attitude data are associated and fused, and finally deception feature recognition and consistency verification are performed to obtain an updated fused target track set; according to the method, man-made confrontation and cheating behaviors on the sea can be accurately identified, and reliable support is provided for safety monitoring on the sea, maritime affair supervision and emergency response.

The invention relates to the technical field of ocean safety, in particular to a dispatching management method and system based on an ocean emergency plan, and the method comprises the following steps: analyzing maritime accident information based on emergency processing request information, extracting text content, detecting a plurality of keywords, recognizing the category of an accident through analyzing the combination and context relation of the keywords, and carrying out the dispatching management of the accident. And generating accident type identification information. According to the invention, through accident type identification, in combination with marine environment conditions and accident types, accurate matching of emergency plans is realized, effective utilization of resources at most needed places is ensured, the ability of handling sudden maritime accidents is improved, the execution process of the emergency plans is recorded in real time, the execution efficiency is scored, and the emergency plans are accurately matched. The traceability of the emergency response process is optimized, a data basis is provided for subsequent optimization, the response speed and quality of the marine accident are improved by analyzing and optimizing the emergency plan, and the damage of the marine safety accident is effectively reduced.

The invention provides a maritime photovoltaic maritime navigation monitoring system, and relates to the technical field of maritime safety monitoring. The maritime photovoltaic maritime navigation monitoring system comprises a radar system, a video monitoring system, a ship automatic identification system, an electronic fence system, a very high frequency communication system, a hydro meteorology acquisition system, an acoustic optical driver isolation system and a processing device, the processing equipment is used for respectively acquiring first navigation data of the target ship detected based on the radar system, second navigation data of the target ship detected based on the video monitoring system and third navigation data of the target ship detected based on the ship automatic identification system; and fusing the first navigation data, the second navigation data and the third navigation data to determine target navigation data of the target ship. According to the invention, the comprehensiveness and accuracy of offshore safety monitoring can be improved.

The invention relates to a multi-modal dynamic region chart generation loading and self-adaptive navigation method and system. The method comprises the following steps: acquiring multi-modal data information; generating a self-adaptive chart based on the static chart data and the dynamic environment information; based on the ship characteristic data and the navigation plan information, generating multi-target path information associated with a self-adaptive sea chart, and sending the multi-target path information to a ship end and a base shore end; when target path information fed back by the ship end and the base shore end is received, navigation information is generated based on the target path information; receiving feedback information from the ship end and the base shore end based on a preset receiving frequency, and updating navigation information; by integrating the static chart data, the dynamic environment information, the ship characteristic data and the navigation plan information, the navigation system with environment perception, path planning and closed-loop updating is constructed, the conversion from the static chart to dynamic adaptive navigation is realized, and the effect of improving the navigation safety and efficiency is achieved.

The invention provides a buoy marine safety automatic monitoring method, and belongs to the technical field of monitoring methods. The buoy marine safety automatic monitoring method comprises the following steps: receiving buoy message data, the buoy message data comprises buoy longitude and latitude data, buoy voltage data, buoy anchor lamp data, buoy cabin door data, buoy cabin water inlet data and buoy sensor data; performing multivariate decomposition operation on the longitude and latitude data of the buoy, and establishing a displacement relation function between a buoy displacement variation component and an environment wind speed variation component; constructing a buoy shift matrix based on the shift relation function, calculating a buoy public safety value, a buoy self-safety value and a buoy function safety value, and performing weighted calculation on the buoy public safety value, the buoy self-safety value and the buoy function safety value to obtain a buoy safety evaluation value; and determining the buoy risk level according to the buoy safety evaluation value. The method solves the problem of how to realize accurate identification and evaluation of the offshore safety state of the buoy.

An LED illuminated buoy system is disclosed, designed to enhance maritime safety and visibility. The system includes a weighted base with a conical shape for stability and a semi-translucent flotation part that extends above the waterline. The buoy houses an LED light source within the base, programmable for various colors and patterns. A sealing connection between the base and flotation part prevents water ingress. The system also features a communication interface for data transmission and remote operation. The buoy can be anchored securely and is adaptable for use as a lamp on land. The system's design allows for easy assembly and maintenance, with environmental resistance features integrated for durability. The buoy serves as a navigational aid, safety marker, and versatile lighting solution in aquatic environments.

The invention provides a ship port entering and leaving yaw early warning identification method and system which are applied to the technical field of shipping informatization, ship traffic management and maritime safety monitoring, and the method comprises the steps: obtaining a channel center line and a yaw threshold value, receiving the data of a ship automatic identification system in real time, determining a track direction, determining a reference channel section, and determining a yaw threshold value; the included angle between the track direction and the reference channel section is calculated, and an early warning signal is generated when the included angle is larger than the threshold value. According to the scheme, the hysteresis quality of manual monitoring can be effectively avoided, and the problems that early warning is not timely and the accuracy is low in the prior art are solved.

The invention relates to the technical field of marine target detection, in particular to a man-machine fusion marine target situation estimation method and system, and the system consists of a real-time track acquisition module, a machine learning module, a comparison judgment module and an alarm module. The machine learning module applies a support vector machine, a neural network and other algorithms to construct a high-precision track judgment model through data preprocessing, model training and evaluation optimization. And the comparison and judgment module extracts real-time track characteristics, calculates the similarity between the real-time track characteristics and a suspicious track database sample, and judges whether the track is suspicious according to a dynamic threshold value and a multi-condition rule. The system also adopts a distributed database storage technology to ensure safe storage and consistency of data, and improves data management efficiency and security through data classified storage and encryption technologies. According to the system, the accuracy and efficiency of marine target monitoring can be remarkably improved, the adaptability of the system to complex and changeable marine environments is enhanced, and marine safety and order are effectively guaranteed.

The invention provides an offshore photovoltaic ship expelling system, method and device, a medium and electronic equipment, and relates to the technical field of offshore safety. The ship expelling system comprises a plurality of pieces of ship expelling equipment, wherein each piece of ship expelling equipment comprises a loudspeaker and a laser lamp; a plurality of support columns, wherein one end of each support column is used for fixing the ship expelling equipment; the processing equipment is used for determining the coordinate position of the to-be-expelled ship and the expelling level of the to-be-expelled ship, determining target ship expelling equipment from the multiple pieces of ship expelling equipment according to the coordinate position of the to-be-expelled ship, and determining a target working mode of the target ship expelling equipment according to the expelling level of the to-be-expelled ship, and sending a working instruction to the target ship expelling equipment, wherein the working instruction is used for indicating the target ship expelling equipment to work in the target working mode. According to the invention, automatic expelling of the abnormal ship in the offshore photovoltaic scene can be realized.

The invention relates to the technical field of marine safety monitoring, in particular to a real-time marine safety intelligent video monitoring system and method, and the system comprises a global monitoring acquisition module, a local threat analysis module, a dynamic response control module, a target trajectory prediction module and a remote recognition tracking module. According to the invention, by collecting and fusing optical brightness and thermal imaging temperature data, the innovative scheme significantly improves the accuracy of target detection in a complex marine environment, optimizes the monitoring effect under a low visual condition, enhances the rapid response capability of the system to dynamic changes, tracks the target position and motion update in real time, and improves the accuracy of target detection in a complex marine environment. The real-time performance and continuity of the monitoring system are improved, the response to emergencies is quicker, prediction of future target movement and advanced recognition of potential threats are achieved, and support is provided for reasonable allocation of emergency response resources, so that the efficiency and effect of the whole monitoring system are improved while the safety of offshore operation is guaranteed.

The invention provides a maritime moving target detection method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining maritime multi-source data, and carrying out the fusion of the multi-source data, and the multi-source data comprises at least one of radar data, satellite data and meteorological data; inputting the fused multi-source data into an adaptive feature extraction network, and outputting a feature vector diagram; detecting a maritime moving target from the feature vector diagram based on a target detection algorithm of deep learning; performing real-time tracking on the marine moving target based on a target tracking algorithm, and identifying the category of the marine moving target based on a deep learning classification algorithm; accurate, efficient and real-time detection of the marine dynamic target is achieved, and powerful technical support is provided for the fields of marine safety monitoring, marine rescue and the like.

The invention relates to the technical field of ship trajectory prediction, in particular to a cross-scene ship trajectory prediction fusion method based on a Transform algorithm. The method comprises the steps that a multi-source data input layer integrates basic navigation, port, sea transportation, inland river exclusive and environment and interaction data; the data preprocessing and link filtering layer cleans data noise and screens high-probability OD pairs; the multi-dimensional feature engineering layer constructs 15-dimensional feature vectors including sea transportation, inland river and interaction features; the core model is based on a Transform encoder-decoder architecture, integrates multi-head attention, time-space diagram attention and multi-mode bias, and adopts double-branch output and mixed loss function optimization; and the result post-processing and application output layer adopts a differentiation strategy for short-term and long-term prediction, and supports multi-ship collision avoidance path generation and derivative application at the same time. According to the invention, multi-scene coverage of sea transportation and inland waterway is realized, short-term and long-term prediction precision is well improved, and the method can be applied to tasks such as maritime affair safety scheduling and inland river intelligent shipping.

The invention discloses an NAVDAT, meteorological fax and NAVTEX collaborative maritime information broadcasting system, which comprises a shore-based intelligent fusion gateway, a cloud server, a cloud server, a cloud server and a cloud server, and is characterized in that the shore-based intelligent fusion gateway is used for analyzing received maritime safety information and mapping the received maritime safety information into a unified maritime event information model; based on the maritime event information model, broadcast signals conforming to NAVDAT, meteorological fax and NAVTEX system technical standards are generated in parallel, and a unified association identifier is embedded into the broadcast signals originating from the same information model; and the shipborne fusion terminal receives and analyzes the broadcast signal, automatically associates and recombines information from different systems according to the unified association identifier, and performs fusion display by taking an event as a unit. According to the invention, deep collaboration of the NAVDAT system, the weather fax system and the NAVTEX system in a protocol layer, a data layer and an application layer can be realized, and the integrity, the cognitive efficiency and the decision support capability of maritime affair safety information are remarkably improved.

The invention relates to the technical field of ocean safety, in particular to a man-machine fusion offshore suspicious target management and control method, which comprises a data acquisition module, an intelligent analysis module, a decision dispatching module and an unmanned equipment execution module. The data acquisition module collects data by using a multi-band radar and a plurality of cameras; the intelligent analysis module fuses radar and camera data, and judges whether a target track is suspicious by using machine learning and deep learning technologies; the decision dispatching module automatically plans an unmanned equipment dispatching task according to an analysis result after confirmation by an operator; and the unmanned equipment execution module realizes autonomous navigation of the unmanned ship and the unmanned aerial vehicle to approach the target and acquire information. By reasonably installing hardware equipment and deploying a software system, a series of processes such as data acquisition and transmission, intelligent analysis, decision dispatching, unmanned equipment task execution and data processing feedback are completed. Suspicious targets on the sea can be managed and controlled efficiently and accurately, and powerful technical support is provided for sea safety tasks such as anti-smuggling, anti-theft and anti-fish-stealing.

The present invention provides a method for automatically monitoring the safety of buoys at sea, which belongs to the technical field of monitoring methods. The method comprises the following steps: receiving buoy message data, the buoy message data including buoy latitude and longitude data, buoy voltage data, buoy anchor light data, buoy hatch data, buoy cabin water inflow data, and buoy sensor data; performing a multivariate decomposition operation on the buoy latitude and longitude data, and establishing a shift relationship function between the buoy displacement change component and the ambient wind speed change component; constructing a buoy shift matrix based on the shift relationship function, calculating the buoy public safety value, the buoy's own safety value, and the buoy's functional safety value, and performing a weighted calculation on the buoy public safety value, the buoy's own safety value, and the buoy's functional safety value to obtain a buoy safety assessment value; and determining the buoy risk level according to the buoy safety assessment value. The present invention solves the problem of how to accurately identify and assess the safety status of buoys at sea.

The invention discloses a marine operation unmanned aerial vehicle installation RIS auxiliary safety sensing method, and belongs to the field of marine safety sensing. The method comprises the following steps: installing an intelligent metasurface on the bottom surface of an unmanned aerial vehicle, controlling a reflection echo signal of a shipborne radar by using the intelligent metasurface, and establishing a cascade channel model between the shipborne radar and the unmanned aerial vehicle; calculating the received signal power of the shipborne radar based on the cascade channel; and an optimization problem is constructed by taking the maximum receiving signal power of the authorized shipborne radar as a target, and the optimization problem is solved by jointly optimizing the phase of the intelligent metasurface and the trajectory of the unmanned aerial vehicle. According to the invention, for a safety perception scene of a marine operation unmanned aerial vehicle, a safety perception scheme of installing RIS assistance at the bottom of the unmanned aerial vehicle is provided, and a reflection echo signal of a target can be directly controlled so as to respectively enhance or suppress a reflection signal towards an authorized or unauthorized radar; and meanwhile, the signal power received by the unauthorized radar is effectively suppressed, so that the safety perception performance of the unmanned aerial vehicle target is improved.

The invention discloses a satellite-ground integrated global marine safety information broadcasting system and method, and belongs to the technical field of navigation guarantee. The system comprises an NAVTEX, an Inmarsat EGC, an AIS / VDES, a Beidou short message service system and a shore-based coordination system, the first four systems are used as independent broadcasting systems to meet the whole ship type and whole sea area coverage of the marine safety information, and the shore-based coordination system has the functions of source information acquisition, data processing, broadcasting strategy making and broadcasting effectiveness evaluation, so that classification and priority division of the marine safety information are realized; and on the basis, a broadcasting strategy is further formulated and broadcasting effectiveness is evaluated. According to the invention, coordinated docking of each broadcasting system can be realized, autonomous controllable broadcasting of whole ship type and whole sea area coverage of marine safety information is ensured, centralized management, processing and broadcasting of the marine safety information are realized, efficient, accurate and reliable marine safety information is provided, and the safety and efficiency of ship marine navigation are improved.

The utility model discloses an offshore safety early warning device for a communication terminal, which comprises a damping assembly, a support plate, a driving part, a damping part, a base, a damper, a monitor, a protective shell and a dismounting part, and the driving part is arranged at the bottom of the support plate. The fixing seat drives the connecting plate to rotate, the connecting plate drives the supporting seat and the sliding block to move, the sliding block slides along the outer side of the supporting rod, the sliding block drives the spring to contract, and a damper is matched for damping, so that the damping effect on the monitor is achieved; and the clamping plate rotates along the inner wall of the fixing plate, so that the effect of disassembling the protective shell is achieved, the adjusting plate drives the connecting rod to rotate along the directional seat, and the adjusting plate drives the limiting block and the limiting plate to move.

The invention discloses a maritime safety information lossless compression method and system based on context semantic coding, and the method comprises the following steps: carrying out the preprocessing of original maritime safety information, encoding the preprocessed maritime safety information according to a short message interface control file of a Beidou satellite area and a data format of the maritime safety information, and generating a maritime safety information message; performing word frequency analysis on the preprocessed maritime affair safety information, constructing a maritime affair safety information vocabulary according to a word frequency analysis result, training a prediction model by using the vocabulary, and performing feature extraction and semantic analysis on the maritime affair safety information message by using the trained prediction model to obtain a maritime affair safety information message; identifying and removing redundant information in the maritime safety information message to obtain a compact maritime safety information message; and performing dynamic probability prediction and adaptive coding on characters in the compact maritime affair safety information message by using context information to realize lossless compression.

The invention discloses a safety management system for offshore wind power project operating personnel, and relates to the technical field of offshore safety management. The method comprises the following steps: a risk point module for establishing a risk point account for ship navigation of a target operator and confirming a sea approval list; the regional quota module is used for dividing the operation region into a plurality of sub-regions, setting a role cooperation quota for each sub-region, and performing role matching management and control; the rhythm monitoring module is used for constructing an operation rhythm curve, evaluating the fatigue state of the target operator and triggering a finishing instruction; the exception handling module is used for calling an exception scene template when an emergency event is monitored, and allocating an emergency task according to a preset emergency response process and a set role division requirement; and the closed-loop safety module is used for calculating a closed-loop safety index of the target operation and feeding back the closed-loop safety index to the risk point account so as to form a dynamically updated safety backtracking mechanism. According to the invention, the operation safety and the emergency disposal efficiency are obviously improved.

1. Problem 2 related to failure and malfunction during navigation of propulsion device of water transportation, Problem 3 related to defensive action on the sea, Problem 4 related to security action on the sea, and Problem related to disaster prevention action on the sea SOLUTION: (1) A device having a conical outer frame, a hollow inside, and a member rotating at a high speed by electric power or the like is used. When this device is operated, a large amount of fluid is sucked from the large-diameter side of the conical outer frame, and high-speed fluid is discharged from the small-diameter side. This device is used for propulsion. 2. Use of the device according to 1. not for propulsion purposes, but for generating a vortex flow on the water surface. 3. Use of the device according to 1. not in a propulsion application but in an application for discharging a high-speed water flow onto the water. The method of use described in (4) and (2) is used not for defense action but for disaster prevention action (disaster reduction action against natural disasters).SELECTED DRAWING: None

The invention relates to an unmanned aerial vehicle cluster automatic dispatching and storage system based on an intelligent cabin. The system comprises a supporting frame, a receiving and transmitting device, the intelligent cabin, a cabin dispatching and storage device and a cabin stacking and fixing device. The receiving and transmitting device is arranged at the top of the supporting frame, and the intelligent cabin, the cabin dispatching and storing device and the cabin stacking and fixing device are all arranged in the supporting frame. The receiving and transmitting device is used for safe, stable and automatic receiving and transmitting of the unmanned aerial vehicle on the sea. The intelligent cabin is used for providing a charging function of the unmanned aerial vehicle; the cabin dispatching and storing device is used for dispatching the unmanned aerial vehicles without dead angles in the storage process of the unmanned aerial vehicles; the cabin stacking and fixing device is used for contact type charging of the unmanned aerial vehicle on the sea. The unmanned aerial vehicle group can be automatically dispatched and safely stored without dead angles, precious spaces of marine carriers such as ships and underwater vehicles are fully utilized, and the number of engine rooms can be designed in a deployable mode according to the scale of the unmanned aerial vehicle group.

To provide an intelligent navigation decision support to ship staff by fully extracting and effectively fusing multimodal marine safety information.SOLUTION: In order to propose a multimodal fusion network capable of training various input information including navigation AIS latitude and longitude information, NAVTEX text information, electronic nautical chart vector information, raster information, video image RGB information, and HOG information by using various networks, a Contact fusion structure based on a multiple attention mechanism MHA is introduced into a parallel structure of the multimodal network so that features of the multimodal information are sufficiently extracted and effectively fused. A multimodal decision support method is proposed for a result display end by suggesting a Transformer model based on generative preliminary training and understanding a context of the multimodal information of fusion features.SELECTED DRAWING: Figure 1

The application discloses a ship roll risk assessment method based on AIS and ERA5 data fusion, and belongs to the field of maritime safety and ship seakeeping analysis; in view of the problem that wave parameters and ship motion states are not accurately matched in existing roll risk analysis, the method comprises the following steps: fusing AIS trajectory and ERA5 wave reanalysis data, adopting space-time nearest neighbor pairing to construct a ship-wave sample and extracting input parameters; a simplified frequency domain roll response model is established based on an encounter angle frequency and a natural roll angle frequency, a roll response standard deviation and a short-time overrun probability are calculated; a frequency proximity function, a sea state intensity function and a wave direction function are defined, and a parameter roll amplification factor is constructed; the overrun probability and the amplification factor are fused to obtain a normalized roll risk index, and are mapped to a latitude and longitude grid to generate a global or regional roll risk distribution map. The application makes full use of ship dynamic and wave information, realizes efficient and robust roll risk assessment and visualization, and supports route planning and maritime early warning.

An LED illuminated buoy system is disclosed, designed to enhance maritime safety and visibility. The system includes a weighted base with a conical shape for stability and a semi-translucent flotation part that extends above the waterline. The buoy houses an LED light source within the base, programmable for various colors and patterns. A sealing connection between the base and flotation part prevents water ingress. The system also features a communication interface for data transmission and remote operation. The buoy can be anchored securely and is adaptable for use as a lamp on land. The system's design allows for easy assembly and maintenance, with environmental resistance features integrated for durability. The buoy serves as a navigational aid, safety marker, and versatile lighting solution in aquatic environments.

A maritime information broadcasting method based on multi-source data fusion comprises the following steps: S1, setting a data interface, and receiving maritime safety information data sent by different mechanisms in time; s2, analyzing the acquired maritime affair safety information data, and converting the data into a standardized data format for subsequent processing; s3, fusing the data from different sources, and removing repeated information; s4, merging the information with the same information content and different expression modes, and saving broadcast resources; s5, establishing a danger early warning model, and dividing danger levels according to the acquired maritime information; and S6, performing priority ranking according to the time and the danger level of the information, and broadcasting the information according to the priority sequence. According to the maritime information broadcasting method based on multi-source data fusion, information data of different data sources can be fused and optimized, the manual inspection time is shortened, and broadcasted information can be more reliable and accurate.

A maritime surveillance device is proposed. The device may include a monitoring processor configured to monitor a maritime facility. The device may also include an information management processor configured to manage information related to maritime safety or facility safety based on a monitoring result by the monitoring process.

The application relates to the technical field of detection and recognition, and discloses a mobile ship dynamic tracking and locking method and system based on target detection and recognition, which comprises the following steps: constructing a manifold embedding network to map ship multi-modal features to a Riemann manifold space; constructing a continuous evolution model of a neural differential equation to predict the continuous evolution trajectory of the features under time, perspective and scale changes; constructing a multi-scale bridging network to realize bidirectional conversion between features representing long and short distances; constructing a differential geometric pose encoder to represent the ship pose in an SO(3) Lie group space; realizing a feature memory and reconstruction mechanism to solve the problem of short-time disappearing target recovery; and integrating the above components to construct a unified tracking and locking system. The application solves the problems of discretization processing limitations, feature representation fragmentation and cross-condition consistency loss in the prior art, and remarkable technical effects are achieved in terms of cross-condition recognition capability, continuous feature evolution capability and short-time disappearing target recovery capability, and the application is suitable for scenes such as Yangtze River shipping monitoring and maritime safety supervision.

The invention relates to the technical field of maritime affair safety monitoring, in particular to an intelligent ship identification management method and system, which ensures the comprehensiveness of data sources and provides a rich basis for subsequent analysis by collecting original data from a plurality of heterogeneous sensors. Original data are fused to generate a fusion feature vector, effective integration of multi-source data is achieved, ship feature representation is more comprehensive and accurate, and a reliable basis is provided for judgment of unfamiliar ships; whether the target ship is a strange ship or not is judged based on the fusion feature vector, manual experience judgment is replaced with data-driven judgment logic, and subjectivity and negligence are avoided; risk assessment is carried out on the unfamiliar ship, and corresponding early warning is triggered, so that seamless connection of identification and early warning is realized, and rapid risk response to the unfamiliar ship is ensured; and according to the risk level and the real-time state information, a disposal suggestion is generated and linkage response is started, so that a complete process from identification to disposal is formed, and automation and high efficiency of ship management are improved.