Shipborne packaged goods transportation risk assessment method based on big data fusion

Abstract

The invention discloses a shipborne packaged goods transportation risk assessment method based on big data fusion. The method comprises the following steps: step 1, constructing a business process chain risk conduction model of shipborne packaged goods transportation risks; step 2, constructing a shipborne packaged cargo transportation online dynamic database; 3, establishing a shipborne packagedgoods risk assessment index system, and constructing a shipborne packaged goods multi-source multi-attribute risk assessment index hierarchical model; 4, calculating the corresponding weight of the shipborne packaged goods risk assessment index system in an expert scoring mode, and carrying out consistency check; step 5, establishing a one-to-one correspondence relationship between specific evaluation standards of the risk evaluation indexes and the risk degrees, and constructing membership functions of the index factors; and step 6, establishing a multi-stage fuzzy risk assessment model, andquantitatively assessing the shipborne packaged cargo transportation risk. According to the quantitative risk assessment method, the risk influence of the whole transportation link is comprehensivelyconsidered, and the method is scientific and accurate; data sources are wide, more scientific and accurate.

Description

technical field [0001] The present invention relates to a method for quantitatively assessing the risk of ship-borne packaged goods transportation, in particular to a method for assessing the risk of ship-borne packaged goods transportation based on big data fusion, which can realize the whole process of ship-borne packaged goods transported on water, all-round Quantitative risk assessment provides technical support for the informatization and modern intelligent supervision of the maritime sector, and belongs to the field of transportation management. Background technique [0002] Although the transportation of packaged goods on board is convenient and efficient, the closed nature of the transportation makes it impossible for the staff to grasp the specific situation in a timely and intuitive manner during the logistics process, and to conduct a safety assessment of the transportation status of the goods, and often miss the best time to deal with the accident when a dangerous...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a risk assessment method for ship-borne packaged goods transportation based on big data fusion to solve the problem that the risk assessment in the prior art cannot be quantified, only for one-sided transportation links, no dynamic data fusion, poor accuracy, and cannot be based on Risk assessment results, the issue of implementing effective safety supervision measures for the transportation of packaged goods on board

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