82results about How to "Guarantee the safety of navigation" patented technology

The invention provides a method for inland river bridge zone shipborne sailing active collision prevention. The method comprises the steps of collecting hydrological information, meteorological information and ship information of nearby ships and the ship, automatically updating river map information on line, and performing data storage; forecasting tracks of the ship and other ships according to obtained track information of the ship and other ships by combination with the real-time hydrological information and the meteorological information, and obtaining track information of every ship; calculating the nearest meeting distance and the nearest meeting time of the ship and a target object according to the obtained track information; and giving collision accident pre-warning and active collision prevention suggestions according to the nearest meeting distance and the nearest meeting time of the ship and the target object. According to the method, by predicating ship sailing situations, the shortcoming that an existing ship assistance navigation device cannot accurately obtain the position of the target object, and the nearest meeting distance and the reaching of the nearest meeting distance cannot be pre-judged more accurately is overcome.

The invention discloses a networking navigation radar target tracking system based on data fusion. The system comprises at least one radar front end, at least one radar terminal and an Ethernet. The radar front end and the radar terminal are in bidirectional data transmission through the Ethernet. The radar front end comprises an antenna, a transceiver, a data acquisition module, a signal preprocessor module and a control command processing module. The radar terminal comprises a display unit, a signal processing unit and a control unit. The transceiver generates radio-frequency pulses which are radiated to the space through an antenna. The system belongs to a trace point serial processing centralized data fusion structure, has the features of high fusion precision and small system time delay, and meanwhile, has the advantages of eliminating detection blind areas, improving detection probability and improving tracking performance. After the terminal carries out data fusion and comprehensive optimization processing on the data of the plurality of front ends, the problem of blind area of the single radar due to antenna erection location can be effectively solved, marine target detection and tracking accuracy performance is improved, and navigation safety is guaranteed.

The invention discloses a method and a system for a ship in a bridge area to actively avoid collision based on a laser three-dimensional imaging technique. The method comprises the following steps of S1, enabling the actively avoid collision system to judge whether the ship enters a recognition area or not; S2, enabling a data collection module to collect data, so as to obtain collected data information; S3, enabling a data storage module to store waterway basic information and the collected data information; S4, enabling a data processing terminal to judge navigation opening and track according to the waterway basic information and the collected data information; S5, publishing decision information. The method has the advantages that the relative position between a bridge pier, a navigation beacon as well as surrounding ships and the ship in the inland river bridge area can be accurately judged; by utilizing the collected data information and the accurate bridge pier and navigation beacon position information in an electronic waterway map, the navigation state of the ship is predicted, so as to ensure the navigation safety of the ship in the inland river bridge area.

The invention discloses a ferry collision risk assessment method, system and device, and a medium. The method comprises the following steps of: determining an enclosed region through setting a water region boundary coordinate, acquiring AIS data in the enclosed region, carrying out the preprocessing of the AIS data, and acquiring the ship information; constructing an original trajectory of the ship according to the ship information, and segmenting the original trajectory; according to the spatial and temporal distribution of the original tracks of a ferry and target ships, acquiring target ships possibly meeting the ferry in the voyage, calculating relative motion parameters of the ferry and each target ship, and identifying meeting ships in the ferry and the target ships; and according to the trajectory data of the ferry and the corresponding meeting ships, constructing a multi-ship meeting scene in the ferry crossing process, and according to the multi-ship meeting scene, evaluating the ferry collision risk. According to the ferry collision risk assessment method, the multi-ship meeting scene in the ferry crossing process is constructed, the high-risk region in the ferry water region is recognized, and support is provided for guaranteeing the sailing safety of the ferry. The ferry collision risk assessment method, the system and the device can be widely applied to the field of water transportation safety and risk assessment.

The invention relates to an automatic danger object light tracking device and method used for ship night navigation. The automatic danger object light tracking device comprises a signal collection unit, a timer, a signal processing unit and a lamp holder control unit, wherein the signal collection unit comprises a shipborne ARPA radar, a ship cab sensor and an AIS terminal; the timer is used for collecting pulse signals of two rotary encoders in the horizontal direction and the vertical direction of a lamp holder in a counting mode; the signal processing unit is used for obtaining the current rotation position of the lamp holder according to information of the signal collection unit and the pulse signals of the timer and obtaining the horizontal and vertical angles by which a searchlight needs to rotate relative to the current position; the lamp holder control unit is used for controlling the horizontal and vertical rotation of the whole lamp holder according to output information of a single-chip microcomputer. The automatic danger object light tracking device and method used for the ship night navigation solve the problem that current shipborne collision prevention and navigation equipment is not convenient to use and is not visual, the large-power searchlight is adopted to automatically locate and track dynamic objects possibly collided with a ship in time, and the possibility that sailors ignore potential collision risks is reduced.

The invention discloses a complex network theory-based water route vulnerability research method. The complex network theory-based water route vulnerability research method comprises an implementationscheme and a research method, wherein the research method comprises a complex network theory and numerical calculation; and the complex network theory comprises a basic conception and feature parameters. According to the method, a ship route network model is established; and MATLAB software is utilized to calculate feature parameters of a complex network, wherein feature parameters comprise degree distribution, a clustering coefficient, a relative size of a maximal connected subgraph, an average efficiency of the network and a tightness index. The numerical calculation pays attention to the stability of calculation, is capable of controlling the growth momentums of errors and ensuring the stability of the calculation process, and pays attention to high calculation speed and high calculation precision, so that the numerical calculation is capable of correctly judging the property of the network and has reliability for the researches.

The invention provides a multi-water-level-station-linked inland river water level intelligent prediction method. The method comprises the steps of S1, preparing sample data, and performing vacancy value filling and SG filtering smoothing processing on the sample data; S2 constructing a three-water-level-station linkage prediction model based on the GRU; and S3, training and predicting the three-water-level-station linkage prediction model constructed in the step S2 by adopting forward propagation and reverse propagation. According to the technical scheme, a water level prediction model is constructed by using a GRU (gated recurrent unit) recurrent neural network. The difference between the scheme and the prior art is that the time relationship of water level values and the space relationship between water level stations are considered. In order to predict the water level value of a certain water level station. The scheme not only depends on the historical data of the water level station, but also utilizes the historical data of the adjacent upstream and downstream water level stations to assist in establishing a prediction model. Therefore, the error of single station data is reduced. The general law of water level change is better reflected and the accuracy of water level prediction is improved.

The invention discloses a navigation risk evaluation method for a bridge. The method comprises the following steps: building a ship motion mathematic model, and building a ship and bridge collision probability mathematic model based on the ship motion mathematic model through employing the design size of the bridge, a passing ship type, a bridge region air flow navigation condition and ship flow as risk factors of the collision between a ship and the bridge; and establishing a navigation risk grading standard corresponding to the collision probability of the ship and the bridge, and evaluatingthe navigation risk of the bridge by applying the mathematical model of the collision probability of the ship and the bridge. The navigation risk can be quantitatively evaluated in the design stage of the bridge, so that the ship safety of the water area of the bridge area is guaranteed.

The invention discloses a ship collision avoidance decision optimization method based on a foreground theory. The collision risk degree, the voyage loss and the trajectory stability are selected as collision avoidance decision optimization indexes; a ship collision avoidance decision optimization model based on a foreground theory is constructed, and risk preferences of people are considered; decision difference caused by different risk attitudes of a ship driver in the ship collision avoidance process is solved by utilizing a foreground theory, and optimal collision avoidance decisions of different crew psychological expectations under different risk preferences are selected, so that the purposes of guaranteeing navigation safety, improving collision avoidance efficiency and saving navigation cost are achieved.

The invention relates to a mobile-internet-based VTS safety information service system and method. The system is characterized in that the system comprises a plurality of ship navigation application clients arranged at a chip, a cloud service platform, a VTS safety information database, and a plurality of VTS command platforms, wherein the ship navigation application clients have the mobile internet communication capability. The cloud service platform is operated at an external network of a bureau of maritime affairs; and the VTS safety information database and the VTS command platforms are operated at an internal network of the bureau of maritime affairs. According to the technical scheme, a complete and intelligent integrated VTS service system can be established for any inland river and thus the inland water transportation becomes smooth, safe and efficient in order, thereby creating great economic and social benefits. Therefore, the provided system and method can be applied to the ship traffic management field.

The invention discloses an inter-ship distance real-time determination system and method under icebreaker navigation, and the method comprises the steps: 1), collecting sea ice environment data of a ship navigation region and the ship information of an icebreaker and a navigated ship, and calculating the ship suggested speed of a ship under a specific ice condition according to a polar region iceregion navigation system; 2) according to the historical data of the ship navigation speed, extracting ship navigation speed distribution under icebreaker navigation protection to obtain fitted speeddistribution; 3) establishing a ship following distance simulation model, and calculating the shortest safe following distance; and 4) comparing the real-time car-following distance measured by the distance measuring device with the shortest safety car-following distance output by simulation, and carrying out early warning according to the comparison result. According to the method, the collisionrisk between ships under icebreaker navigation protection is effectively reduced, the navigation safety of the arctic-ship-route ships is guaranteed, and the method has guiding significance for determining the following distance under the arctic-ship-route ship formation navigation operation mode.

The invention belongs to the field of image enhancement, and particularly relates to an improved high-frequency emphasis filtering rapid sea fog image enhancement method. The method comprises the steps that (1) sea images are acquired; (2) sea fog of the images based on an improved high-frequency emphasis filtering algorithm is removed; and (3) clear images are displayed. The method is suitable for all ships on the water surface, and the processed images with fog on the water surface are acquired by visible light cameras installed on the ships on the water surface. The improved high-frequency emphasis filtering enhancement algorithm is provided so that visibility and contrast ratio of the sea fog blurred images can be greatly enhanced. With processing of the algorithm, sea navigation adaptive capacity of the ships on the water surface can be greatly enhanced, and navigation safety of the ships on the water surface can be greatly guaranteed.

The invention relates to a ship automatic identification system based on a Beidou network. The system comprises multiple Beidou shipborne terminals which collect real-time dynamic information of eachBeidou ship and send the information to a Beidou satellite ground station via a Beidou satellite and a shore server which receives the real-time dynamic information of each Beidou ship, determines anautomatic identification effective range of the Beidou ship, screening and filtering real-time dynamic information of other Beidou ships for each Beidou ship in the range, sends the real-time dynamicinformation of each Beidou ship to Beidou shipborne terminals of other Beidou ships in the range, and realizing the mutual identification and communication between the BeiDou ships within the automatic identification effective range. According to the system, a Beidou ship can realize the mutual identification and communication with other BeiDou ships within a nearby sea identification range without an AIS, the efficiency of the communication between the BeiDou ships is improved, and the arrangement of a navigation plan is facilitated to ensure the navigation safety.

The invention discloses an offshore buoyant raft culture area extraction method based on SAR and optical image fusion. An optical image and SAR image fusion mode is adopted to extract a marine culturearea, a fusion algorithm most suitable for marine culture area extraction is obtained through experiments, and the precision of offshore water area buoyant raft culture area extraction is effectivelyimproved. According to the experimental result, the marine buoyant raft culture range can be accurately defined; the method is beneficial for government departments to more effectively supervise offshore culture areas, standardize the culture density of the culture areas, purify the culture water area environment, relieve the contradiction between the increase of transport ships and the continuous expansion of the culture water area, prevent commercial ships from entering the culture areas by mistake to pollute the culture water area, and ensure the sailing safety of the ships.

The invention discloses a ship maintenance platform. The system comprises a ship end data sensing system and a ship data monitoring system, ship maintenance management system. The cross-end data sensing system is in data signal connection with the ship data monitoring system. The ship data monitoring system is in data signal connection with the ship maintenance management system. The ship end datasensing system collects and obtains operation state data of ship cabin equipment through ship end data sensing equipment, real-time comprehensive monitoring of the ship operation state is achieved, and the ship data monitoring system processes and analyzes the ship cabin sensing data to obtain operation state information of all the equipment of a ship. The method has the advantages that the operation state of ship cabin equipment is analyzed and displayed by collecting ship-end cabin data, and management of the whole process of ship maintenance is achieved.

The invention discloses a system and a method for transmitting aviation flight data and navigation information. The system comprises a data mining server, a database, a performance server, a system management server and at least one mobile terminal, wherein each mobile terminal is connected with the performance server and the system management server; the database is respectively connected with the performance server and the system management server; the performance server is connected with the system management server; and the database is connected with the data mining server. According to the system, a pilot can quickly, conveniently and accurately obtain more complete, accurate and visual information resource and data before implementing a flight task, so that the navigation safety is better guaranteed and the economic benefit is increased.

The invention discloses a geometric relationship-based skew bridge navigation effective navigation net width determination method, and the method is calculated by adopting the following formula: l = B-C or E, and the two values are taken as large values, wherein l is the effective navigation net width, B is the actual navigation net width, C is the anti-collision facility occupation width, E is the pier turbulence width, and C/E is the large value. When the skew bridge is a forward bridge, the actual navigation net width is calculated by adopting the following formula: B = (L-b-a * tan(alpha))* cos(alpha); when the skew bridge is a skew bridge, the actual navigation net width is calculated by adopting the following formula: B = (L-b) * cos(alpha), wherein L represents the span, b represents the width of a pier or a bridge column, a represents the length of the pier or the bridge column, and alpha represents the included angle between the water flow direction and the normal direction of the bridge axis. Plane arrangement of the bridge is combined with water flow navigation and river channel conditions of the bridge area, a basis is provided for planning and designing of the skew bridge, the effective navigation clear width can be obtained in the bridge design stage, and therefore, the bridge navigation design scheme is optimized, and ship navigation safety of the water area ofthe bridge area is guaranteed.

The invention provides an inland river intelligent navigation mark position monitoring method. The method comprises steps that the data transmitted by a navigation mark terminal is received, and the data comprises longitude/latitude values of the dynamic position of the navigation mark terminal; gauss-kruger projection forward calculation is employed to solve the dynamic position of the navigation mark terminal and a gauss plane coordinate corresponding to the base point position; a distance between the dynamic position and the base point position is calculated according to the gauss plane coordinate; the distance is compared with an offset distance threshold, if the distance is greater than the offset distance threshold, drift alarm is carried out, if the distance is not greater than the offset distance threshold, the position of the navigation mark terminal is determined to be normal. Through the method, a problem of imprecise calculation of the navigation mark terminal is solved, accuracy and timeliness of drift alarm are improved, error alarm and missed alarm can be avoided, and guarantee is provided for ship navigation safety.