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A Hazard Cause Analysis Method Based on Weighted Multi-swarm Particle Swarm Optimization

A technology of particle swarm optimization and cause analysis, applied in the field of information systems, can solve problems such as lack of comprehensiveness in analysis

Active Publication Date: 2020-10-27
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

These methods can analyze the causes of hazards from different aspects, but the analysis lacks comprehensiveness. Therefore, we need a method that can comprehensively analyze hazards

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  • A Hazard Cause Analysis Method Based on Weighted Multi-swarm Particle Swarm Optimization
  • A Hazard Cause Analysis Method Based on Weighted Multi-swarm Particle Swarm Optimization
  • A Hazard Cause Analysis Method Based on Weighted Multi-swarm Particle Swarm Optimization

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Embodiment Construction

[0039] The present invention will be further described below in conjunction with the accompanying drawings.

[0040] The hazard source analysis method HCA-WMPSO based on the weighted multi-swarm particle swarm optimization of the present invention regards the hazard source analysis as a process of mining association rules. In order to generate more meaningful rules in the process of mining association rules and consider the impact of item weight on rule mining, we introduce the concept of item weight in the data preprocessing stage and redefine the concept of item set range. In the process of mining association rules, we propose an association rule mining algorithm based on weighted multi-swarm particle swarm optimization. The algorithm introduces an inter-population communication mechanism on the basis of multi-population cooperative particle swarm optimization, which increases population diversity and avoids The disadvantage of the algorithm is easy to fall into the local op...

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Abstract

The invention provides a reason analysis method for a danger source based on weighted multi-population PSO. Reason analysis for the danger source is considered as a process of association rule mining. A concept of project weight is introduced in a data preprocessing stage, and a concept of the project set range is redefined. In the process of association rule mining, an association rule mining algorithm based on weighted multi-population PSO is provided, the algorithm introduces an inter-population communication mechanism on the basis of multi-population coordinated PSO, the population diversity is improved, and the defect that the algorithm tends to a local optimal solution is overcome. A concept of particle weight is introduced, so that algorithm can be used to select a rule which is more significant for users. Thus, the reason analysis accuracy and efficiency of the danger source are improved, the range of danger source reason analysis is broadened, and the complexity of danger source reason analysis is reduced.

Description

technical field [0001] The invention relates to the technical field of information systems, in particular to a method for analyzing the causes of hazards based on weighted multi-group particle swarm optimization. Background technique [0002] In the civil aviation air traffic safety management system, hazard identification and risk assessment are important components. A detailed analysis of hazards and their causes and mechanism of action are prerequisites for effective and accurate assessment of risks by relevant departments. In the traditional analysis system of hazard causes, event tree analysis, butterfly analysis, hazard and operability analysis are used to analyze hazards. At present, experts and scholars at home and abroad have proposed many different analysis methods, but most of them are established on the traditional analysis system. These methods can analyze the causes of hazards from different aspects, but the analysis lacks comprehensiveness. Therefore, we nee...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/06G06Q10/04G06Q50/26G06N3/00
CPCG06N3/006G06Q10/04G06Q10/0635G06Q50/26
Inventor 周良李诗瑶谢强郑洪源
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS