4 results about "Merchant ship" patented technology

The invention relates to the technical field of ocean, and discloses a complex meteorological marine path planning method based on space-time dependency modeling of a graph neural network, which comprises the following steps of: constructing a marine space-time diagram data structure; modeling meteorological space-time dependence based on a space-time diagram neural network; real-time meteorological data fusion and graph structure dynamic updating; performing multi-target path scheduling optimization to generate candidate paths; dynamic adjustment and feedback loops in path execution. Sailing safety can be improved, severe meteorological areas are avoided, and the probability that the ship encounters danger is reduced; the navigation efficiency can be improved, the navigation time and fuel consumption are reduced, and the operation cost is reduced; the method can better adapt to complex and changeable meteorological environments on the sea, provides a more flexible and accurate path planning scheme for ships, has wide application prospects, and can be applied to multiple related fields on the sea, such as commercial ship transportation, fishery fishing, sea rescue and the like.

The invention relates to the technical field of erosion and deposition monitoring, and discloses a self-adaptive seabed erosion and deposition monitoring and early warning method for an estuary navigable water area, and the method comprises the following steps: S1, obtaining a corrected vertical motion sequence; s2, calculating a dimensionless blocking coefficient, and constructing a heterogeneous observation array; s3, generating a sinking residual error for the detection ship; s4, performing frequency domain transformation on the vertical sequence of the detection ship, and extracting low-frequency inertia and high-frequency flow-induced turbulence characteristics; s5, differential verification is carried out, and a heterogeneous differential ratio is constructed; and S6, constructing a feature vector based on the sinking residual error and the heterogeneous difference ratio, judging the erosion and deposition state by using decision logic, and outputting an early warning. According to the method, a commercial ship is adaptively converted into a detection and reference ship by calculating a dimensionless blocking coefficient, and a hydrodynamic response is captured by using AIS and GNSS data; special measuring equipment is not needed, the problems that traditional surveying and mapping are long in period, high in cost and prone to interference are solved, and monitoring timeliness is improved.

This invention provides a port long-channel fog navigation system and method based on UAV navigation and small target detection and localization, comprising: a guided vessel and a pilot terminal layer, an aerial UAV, and a maritime support platform; the guided vessel and pilot terminal layer includes: a guided merchant ship and a pilot tablet terminal; the aerial UAV includes: two UAVs operating in a forward formation navigation mode; the two UAVs respectively acquire images and point clouds at a fixed frequency, attach a unified timestamp and their own attitude information, and send them to a tugboat RTX edge computing base station, where the tugboat RTX base station performs data fusion; the maritime support platform includes: a tugboat RTX base station, which establishes a unified ENU coordinate system, transmits data through a dedicated wireless link and a data access gateway, fuses the observation data from the two UAVs, and performs 3D positioning and collision avoidance calculations. This invention significantly improves the detection accuracy of small targets and the ability to share 3D situational awareness, thereby reducing the risk of collision.

The application provides a light-weight BS architecture offshore monitoring method and related equipment, and belongs to the technical field of offshore monitoring. The application comprises the following steps: receiving offshore radar and AIS data to obtain offshore fusion target data set; calculating a dynamic threshold based on the number of targets in the offshore fusion target data set and offshore scene load data, triggering container elastic scaling according to the dynamic threshold to obtain resource allocation data adapted to offshore target fluctuations; detecting the running state of microservices to obtain microservice health state data; and scheduling standby node resources according to the resource allocation data and the microservice health state data, and restoring the offshore fusion target data set through cache replication and data snapshot to obtain the restored offshore fusion target data set. The application can accurately identify and track fishing boat and merchant ship targets, and automatically and elastically schedule computing resources according to target quantity fluctuations.