The Mathematical Models And Their Algorithms For Inland Vessels Energy Efficiency

Has been much concern about global warming and carbon dioxide and other greenhouse gases, while the ship as emitters faced huge pressure from the public and the shipping industry in recent years. How to ensure the safe navigation of ships under the premise of emission reduction targets to achieve operational ship, the shipping industry must solve the real major issue. The inland river system of our country extending in all directions which is prosperity and development, so studying the inland vessels energy efficiency have a very important significance.If inland vessels achieve energy conservation, will consider many factors such as the ship’s speed, host rotational speed, inland waters geographical environment and so on. It needs to take advantage of a variety of sensors to collect real-time data of the ship, such as the use of fuel consumption sensor to collect the ship’s main, auxiliary fuel consumption once every100seconds, using speed sensor to collect host speed once every15seconds, using GPS to collect the ship’s speed, latitude and longitude location information once every15seconds, using water velocity water depth tester to collect water velocity and fairway speed then, also collect other information such as instantaneous wind speed and direction, to form a massive real-time operation data of every ship.In the first place, this paper introduces the basic theoretical knowledge of the spatial data into Gaussian plane coordinate and non-uniform rational B-spline curve fitting. About the data of the ship, using latitude and longitude data of ship navigating in Yangtze river which was collected by Wuhan In·Point Information Technology Co, Ltd GPS, then spacing latitude and longitude data gauss projection plane transformation. After comprehensive consideration to such factors as the large amount of latitude and longitude data that was collected when ship was navigating, converted coordinate point series bending heavily, uneven distribution interval, using b-spline curve which is usually used in the CAD engineering drawing to fit track. Select NURBS non-uniform rational b-spline curve to piecewise fitting inland ship navigation path, and add the least squares method to control the fitting error, fitting out NURBS non-uniform rational b-spline curve. Taking the Romberg arithmetic to work out the integral, calculate the specific length of each curve, and calculate the speed of each segment respectively. Then take the Yangtze river as an example to consider the bending degree which can be divided into waterways, ship in each waterway at different speeds corresponding to different fuel consumption rate and speed, and ignoring the influence of wind speed, equipment status, fouling, etc to fuel consumption, establishing inland vessels optimal speed scheduling model by using dynamic programming. Research the algorithm of optimal speed scheduling model and theory needs and actual demand of grading algorithm, and giving the calculation results and its comparison with examples.