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Ship energy consumption prediction method based on data driving

A forecasting method and data-driven technology, applied in special data processing applications, ship construction, ship design, etc., can solve problems such as long cycle times, many links in the ship power energy conversion process, and difficulty in establishing mathematical models

Active Publication Date: 2021-03-26
HARBIN ENG UNIV
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Problems solved by technology

There are several problems in the above methods: First, excessive reliance on the ship dynamics model, but due to the many links in the ship power energy conversion process and the complex influencing factors, it is difficult to establish an accurate mathematical model, and the model parameters have a great impact on the prediction effect of ship energy consumption , it is impossible to effectively evaluate and predict ship energy consumption; second, the mathematical models of different ships are different, and the method parameter settings of the energy consumption prediction process are also different, resulting in poor versatility of the energy consumption prediction method based on the ship dynamics model; Third, when predicting the energy consumption of a long route (such as a route with a voyage time of several days), the amount of calculation is huge, and the period of the dynamic model to correct the model in combination with the test results is long, and sometimes it is difficult to meet the actual ship application requirements

Method used

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  • Ship energy consumption prediction method based on data driving
  • Ship energy consumption prediction method based on data driving
  • Ship energy consumption prediction method based on data driving

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Embodiment 1

[0100] Flow chart of the present invention is as figure 2 As shown, first a desired route is given, which consists of any number of waypoints, each waypoint contains latitude and longitude information, and the expected engine speed data of each route sub-section needs to be set, and the entire navigation area needs different time Sea state information, including wave height, wave direction, wave cycle and other information, and specify the ship departure time for time synchronization with sea state information; then establish a high-dimensional matrix of the ship’s steady-state speed on the water, a high-dimensional matrix of engine power and The engine fuel consumption model is used to construct the offline basic model; a series of matrices of the offline basic model are used to complete the linearization of the model through high-dimensional linear interpolation; the energy consumption model is completed by setting the desired route and the linearization model Real-time ded...

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Abstract

The invention belongs to the technical field of ship energy consumption prediction, and particularly relates to a ship energy consumption prediction method based on data driving. The method comprisesthe following steps: acquiring an expected ship route, departure time and sea condition information of a ship; constructing an offline basic model which comprises a ship-to-water steady-state navigational speed model, an engine power model and an engine oil consumption model; performing high-dimensional linear interpolation on discrete grid matrixes of the ship to the water steady-state navigationspeed model and the engine power model; carrying out one-dimensional linear interpolation on the discrete grid matrix of the engine oil consumption model; and deducing a ship energy consumption modelin real time. According to the method, a set of data matrix is used as support, rapid calculation of the energy consumption of the long route of the ship is achieved, and the data matrix in the method can be obtained in various modes and is convenient and rapid to replace. According to the method, the thought of an original ship dynamics simulation model is not influenced, and the method and thedynamics simulation model coexist in an actual simulation verification and evaluation system and are respectively responsible for different types of simulation calculation.

Description

technical field [0001] The invention belongs to the technical field of ship energy consumption prediction, and in particular relates to a data-driven ship energy consumption prediction method. Background technique [0002] With the rapid development of my country's national economy, the pace of globalization in various fields is getting faster and faster. The construction of ship transportation is becoming more and more important to my country's society and economy. The energy consumption of ships is an important factor in the economy of ship transportation, which is directly related to ship transportation. At the same time, ship energy consumption has a greater impact on ship management efficiency and environmental pollution. Therefore, the research and analysis of ship energy consumption has important theoretical research and engineering practice significance, especially in the aspect of ship energy consumption prediction. Effective ship energy consumption prediction has br...

Claims

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Application Information

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IPC IPC(8): B63B71/10B63B71/20B63B71/00G06F30/15G06F30/20
CPCB63B71/00B63B71/10B63B71/20G06F30/15G06F30/20G06F2111/10G06F2119/06
Inventor 王立鹏张智朱齐丹夏桂华苏丽王学武马文龙张佳鹏
Owner HARBIN ENG UNIV
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