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169 results about "Chart datum" patented technology

A chart datum is the water level that depths displayed on a nautical chart are measured from. A chart datum is generally derived from some phase of the tide. Common chart datums are lowest astronomical tide and mean lower low water. In non-tidal areas, e.g. the Baltic Sea, mean sea level (MSL) is used.

Three-dimensional terrain and radar terrain generating method based on S-57 electronic chart data

The invention provides a three-dimensional terrain and radar terrain generating method based on S-57 electronic chart data. The three-dimensional terrain and radar terrain generating method comprises the steps that firstly, an elevation vector graph based on an electronic chart is generated based on the S-57 electronic chart data and through the combination of GDEM data, and the elevation vector graph serves as an uniform data source; secondly, the elevation vector graph undergoes conversion, simplification and texture mapping to generate a scene three-dimensional terrain model; at last, based on the elevation vector graph and through cutting of the data, radar terrain data generation and water depth data and navigation target data extraction are respectively completed at different sampling intervals according to needs. The three-dimensional terrain and radar terrain generating method based on the S-57 electronic chart data overcomes the defects that an existing terrain model is not uniform in data matching, not high in precision and poor in running efficiency; the three-dimensional terrain data generating technology, the GPS positioning technology and the GIS geological information technology are integrated, so that the three-dimensional scene running efficiency and the three-dimensional scene vividness are guaranteed, and meanwhile, accurate matching between scene three-dimensional terrain data, radar terrain data, water depth data and navigation target data and the electronic chart is realized.
Owner:PLA DALIAN NAVAL ACADEMY

Ship autopilot algorithm testing simulation system

InactiveCN104483845ASimple and beautiful interfaceQuick and intuitive call upSimulator controlPosition/course control in two dimensionsData displayInternational standard
The invention discloses a ship autopilot algorithm testing simulation system, which comprises a main framework, a standard electronic chart module, a ship moving mathematical model module, a navigation calculation toolkit module, a route design module and an autopilot controller module. The standard electronic chart module is built in the ship autopilot algorithm testing simulation system, the standard electronic chart module is based on an international standard electronic chart and can load global electronic chart data at an S57 format, in addition, the global chart can be browsed in a stepless zooming way at any proportional scale, various data display modes and color display schemes are realized, and the whole interface is simple, compact and attractive. The ship autopilot algorithm testing simulation system has the advantages that different wind flow conditions can be set, so that a ship can realize the simulated navigation under the vivid maritime interference condition. A user can test a ship autopilot for a long time in a large range in any sea area in the global range without time and place limitation, so that the problems of great risk, long debugging period and high cost in real ship testing of the ship autopilot are solved.
Owner:DALIAN MARITIME UNIVERSITY

Multi-source data-based crowding degree prediction method of urban public open space

InactiveCN106503829ASolve technical problems that cannot be accurately predictedReduce the economic cost of forecastingForecastingTraffic capacityPredictive methods
The present invention proposes a multi-source data-based crowding degree prediction method of an urban public open space. Urban multi-source data such as WeChat user number data, POI data, comment data, area attribute data, meteorological data and time attribute data are utilized to determine the spatial-temporal features of each small region in the space; the people flow indexes of a region in different historical periods are obtained from the WeChat user number chart data through using a gridding sampling adding method; the historical people flow indexes and the spatial-temporal features are inputted into a fuzzy neural network model, so that people flow index prediction can be realized; and a predicted people flow index is converted into crowding degree through using clustering and comparison. With the method of the invention adopted, the prediction of the crowding degree is successfully achieved through using the open urban multi-source data; and the technological problems of too high prediction costs caused by over-reliance on hardware equipment, and incapability of realizing accurate prediction by using a single data source of a traditional crowding degree prediction method can be solved; and prediction economic costs are decreased, and prediction accuracy is improved.
Owner:TONGJI UNIV
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