Method for automatically extracting emergency response process model from emergency event plan

Abstract

The invention discloses a method for automatically extracting an emergency response process model from an emergency event plan, and belongs to the field of process mining. The method adopts an emergency plan text paragraph structure tree building module, a four-level response enabling condition expression extraction module, a process model entity element extraction module, a process model relationship element extraction module, an emergency response process tree generation module and an emergency response process directed graph model generation module. The method specifically comprises the following steps of constructing an emergency plan text paragraph structure tree; extracting emergency response process model elements; and generating the emergency response process model. Firstly an emergency response process tree is generated according to the extracted process model elements and text paragraph structure tree, and then the emergency response process tree is converted into an emergency response process directed graph model. The method not only can assist a modeling expert to finish building and analysis of the emergency response process model, but also can be used for check and revision of contingency plan texts of emergency events.

Description

technical field [0001] The invention belongs to the field of flow mining, and in particular relates to a method for automatically extracting an emergency response flow model from an emergency plan. Background technique [0002] There are three main solutions for current process modeling: one is to manually create process models by domain modeling experts based on experience; the other is to generate process models from log files through process mining algorithms; the third is to use natural language processing technology to extract process models from text Model. [0003] Emergency response to emergencies is a complex process of multi-department and multi-organization linkage coordination, and the emergency response process has important guiding significance for the effective implementation of the entire response process. The emergency response process model for emergencies should not only clearly show the corresponding relationship between emergency response tasks and exec...

AI Technical Summary

Problems solved by technology

The extraction of relational elements first needs to analyze the corpus data to construct a dictionary of process relational words, and then use character matching to complete the extraction of relational elements. This method lacks universal applicability, and it takes a lot of time and effort to analyze the text

Therefore, the extraction of process model entity elements in this scheme is easy, but the extraction of relational elements is not only difficult but also poor in portability

[0006] Comprehensive analysis of the above three methods, the process model generated by the first expert modeling scheme is correct and usable, but it is too difficult to find a process modeling expert in this emergency field

The second method mines the process model from the event log. The existing process mining algorithm is very mature, but for the emergency response process of the lack of information system, the relevant event log data cannot be obtained.

The third method has a large difference between the extraction object and the text of the emergency plan, and is not suitable for the extraction process of the text of the emergency plan

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