Hadoop-based petroleum transport vehicle oil consumption prediction method

A technology for transporting vehicles and fuel consumption, applied in forecasting, structured data retrieval, instruments, etc., can solve problems such as fuel consumption quota results that do not conform to actual conditions, and fuel consumption model calculation methods that influence factors are not comprehensive and unrealistic.

Active Publication Date: 2017-10-10
WUHAN YANGTZE COMM ZHILIAN TECH
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Problems solved by technology

[0006] (1) The formulation of fuel consumption quotas is mostly obtained through experimental tests. Due to the limited test environment, various complex environments in practice cannot be widely considered, so the results of fuel consumption quotas do not conform to the actual situation to a large extent.
[0007] (2) The influence factors considered by the fuel consumption model calculation method are not comprehensive enough, and the correction values ​​of the influence factors are not accurate, part of which is based on reference to relevant standards, part of which is based on experience estimation, and the standard reference values ​​are only tested in the standard en

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  • Hadoop-based petroleum transport vehicle oil consumption prediction method
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  • Hadoop-based petroleum transport vehicle oil consumption prediction method

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Embodiment Construction

[0101] The method of the present invention will be further described below in conjunction with the accompanying drawings.

[0102] This embodiment presents the calculation of exemplary values ​​of correction coefficients of fuel consumption influencing factors using the method of the present invention.

[0103] According to the calculation method of the fuel consumption influencing factors and their correction coefficients, the demonstration values ​​of the correction coefficients of each influencing factor are calculated, as shown in Table 4 to Table 9.

[0104] car model

class 1 road

class 2 road

Class 3 roads

Class 4 road

Class 5 road

Class 6 roads

x≤7t

1.00

1.01

1.05

1.08

1.11

1.15

7t

1.00

1.02

1.05

1.09

1.13

1.17

14t

1.00

1.02

1.06

1.10

1.14

1.18

21t

1.00

1.02

1.07

1.11

1.15

1.20

28t

1.00

1.03

1.08

...

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Abstract

The invention relates to a Hadoop-based petroleum transport vehicle oil consumption prediction method which comprises the following steps: (1) a data collection step, (2) a data storage step, (3) a step of calculating an oil consumption influence factor correction coefficient and (4) prediction calculation of an oil consumption quota. According to the method disclosed in the invention, a petroleum transport vehicle is a research object; a relevant calculation model is built based on big data analyzing and processing technologies; vehicle oil consumption is analyzed and calculated, reference basis is provided for transport enterprises to set a reasonable oil consumption quota, a root reason for high oil consumption can be found during research, effective measures can be adopted for lowering oil consumption, costs can be reduced, and energy can be saved.

Description

technical field [0001] The invention relates to a Hadoop-based fuel consumption prediction method for petroleum transportation vehicles, in particular to a method for predicting the fuel consumption of petroleum transportation vehicles through big data analysis and processing, establishment of relevant calculation models, analysis and calculation, and belongs to the technical field of transportation vehicle management. Background technique [0002] Under the background of the country's implementation of energy conservation and emission reduction strategies, various industries are making various efforts to reduce carbon emissions. A very important aspect of energy efficiency improvement is to reduce gas consumption. The transportation industry accounts for the vast majority of energy consumption. and carbon emissions, in order to achieve energy conservation and emission reduction in the industry, breakthroughs should be found in management and technology. [0003] Petroleum t...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06F17/30
CPCG06Q10/04G06F16/2465G06F16/27G06F16/284Y02D10/00
Inventor 吴小军黄琛张若冰张霁
Owner WUHAN YANGTZE COMM ZHILIAN TECH
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