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Reason analysis method for danger source based on weighted multi-population particle swarm optimization (PSO)

A particle swarm optimization and cause analysis technology, applied in the field of information systems, can solve problems such as lack of comprehensiveness in analysis, and achieve the effects of improving analysis efficiency, increasing population diversity, and improving accuracy

Active Publication Date: 2017-04-26
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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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

Method used

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  • Reason analysis method for danger source based on weighted multi-population particle swarm optimization (PSO)
  • Reason analysis method for danger source based on weighted multi-population particle swarm optimization (PSO)
  • Reason analysis method for danger source based on weighted multi-population particle swarm optimization (PSO)

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Embodiment Construction

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

[0040] The present invention is based on the weighted multi-group particle swarm optimization of the hazard source cause analysis method HCA-WMPSO, which regards the hazard source cause analysis as an association rule mining process. 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 introduced the concept of item weight in the data preprocessing stage and redefine the concept of item set scope. In the process of mining association rules, we propose an association rule mining algorithm based on weighted multi-group particle swarm optimization. The algorithm introduces inter-population communication mechanism on the basis of multi-group collaborative particle swarm optimization, which increases population diversity and avoids The algorithm is easy to fall into the shortcoming of the local optim...

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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, and 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 source identification and risk assessment are important components. Detailed analysis of hazards and obtaining their causes and mechanism of action are the prerequisites for relevant departments to assess risks effectively and accurately. In the traditional hazard cause analysis system, event tree analysis, butterfly analysis, hazard and operability analysis are used to analyze hazards. Now, domestic and foreign experts and scholars have proposed many different analysis methods, but most of them are based on traditional analysis systems. These methods can analyze the causes of hazards from different aspects, but the analysis lacks comprehensiveness. For this reason, we ...

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Application Information

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Patent Type & Authority Applications(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
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