Deep Understanding of Technical Documents: An Enhancement on Diagrams Understanding

2021 ◽  
Vol 30 (05) ◽  
pp. 2150027
Author(s):  
Michail S. Alexiou ◽  
Nikolaos Gkorgkolis ◽  
Sukarno Mertoguno ◽  
Nikolaos G. Bourbakis
Keyword(s):  
Petri Net ◽  
Deep Understanding ◽  
Complex Structures ◽  
Technical Document ◽  
Stochastic Petri Net ◽  
Document Understanding ◽  
Processing Step ◽  
Holistic Understanding ◽  
Mathematical Formulas ◽  
Technical Documents

Humans are capable of understanding the knowledge that is included in technical documents automatically by consciously combining the information that is presented in the document’s individual modalities. These modalities are mathematical formulas, charts, tables, diagram images and etc. In this paper, we significantly enhance a previously presented technical document understanding methodology3 that emulates the way that humans also perceive information. More specifically, we make the original diagram understanding methodology adaptive to larger architectures with more complex structures and modules. The overall understanding methodology results in the generation of a Stochastic Petri-net (SPN) graph that describes the system’s functionality. Finally, we conclude with the introduction of the hierarchical association of different diagram images from the same technical document. This processing step aims to provide a holistic understanding of all illustrated diagram information.

A Holistic Approach for Automatic Deep Understanding and Protection of Technical Documents

2020 ◽  
Vol 29 (06) ◽  
pp. 2050007 ◽  
Author(s):  
Nikolaos Bourbakis ◽  
Sukarno Mertoguno
Keyword(s):  
Petri Nets ◽  
Deep Understanding ◽  
Holistic Approach ◽  
Stochastic Petri Nets ◽  
Technical Document ◽  
Text Block ◽  
Additional Information ◽  
Functional Behavior ◽  
New Knowledge ◽  
Technical Documents

A Technical Document (TD) is mainly composed by a set of modalities appropriately structured and associated. These modalities could be NL-text, block diagrams, formulas, tables, graphics, pictures etc. A deep understanding of a TD will be based on the synergistic understanding and associations of these modalities. This paper offers a novel methodology for the implementation of a holistic approach for deep understanding of technical documents by understanding and associating these modalities. This approach is based on the homogeneous expression (mapping) of the technical document modalities into the same medium, which in this case is the Stochastic Petri-nets (SPN). Then, these modalities are associated to each other generating new knowledge about the technical document topic and a SPN simulator is created to offer additional information about the functional behavior of the system described in the document. Some results from our studies are provided to prove the overall concept.

The Quantitative Assessment of Domino Effects Based on Stochastic Petri Nets

2008 ◽  
Vol 44-46 ◽  
pp. 537-544
Author(s):  
Shi Yi Bao ◽  
Jian Xin Zhu ◽  
Li J. Wang ◽  
Ning Jiang ◽  
Zeng Liang Gao
Keyword(s):  
Petri Nets ◽  
State Space ◽  
Petri Net ◽  
Quantitative Assessment ◽  
Stochastic Petri Nets ◽  
Industrial Park ◽  
Domino Effect ◽  
State Space Explosion ◽  
Stochastic Petri Net ◽  
Chemical Industrial Park

The quantitative analysis of “domino” effects is one of the main aspects of hazard assessment in chemical industrial park. This paper demonstrates the application of heterogeneous stochastic Petri net modeling techniques to the quantitative assessment of the probabilities of domino effects of major accidents in chemical industrial park. First, five events are included in the domino effect models of major accidents: pool fire, explosion, boiling liquid expanding vapour explosion (BLEVE) giving rise to a fragment, jet fire and delayed explosion of a vapour cloud. Then, the domino effect models are converted into Generalized Stochastic Petri net (GSPN) in which the probability of the domino effect is calculated automatically. The Stochastic Petri nets’ models, which are state-space based ones, increase the modeling flexibility but create the state-space explosion problems. Finally, in order to alleviate the state-space explosion problems of GSPN models, this paper employs Stochastic Wellformed Net (SWN), a particular class of High-Level (colored) SPN. To conduct a case study on a chemical industrial park, the probability of domino effects of major accidents is calculated by using the GSPN model and SWN model in this paper.

Risk assessment of FPSO topside based on generalized Stochastic Petri Net

2021 ◽  
Vol 238 ◽  
pp. 109732
Author(s):  
Jichuan Kang ◽  
Xinyuan Geng ◽  
Xu Bai ◽  
Yan Dong
Keyword(s):  
Risk Assessment ◽  
Petri Net ◽  
Stochastic Petri Net ◽  
Generalized Stochastic Petri Net

Reliability and availability evaluation of subsea high integrity pressure protection system using stochastic Petri net

2021 ◽  
pp. 1748006X2110499
Author(s):  
Chuan Wang ◽  
Jun Gou ◽  
Yingcheng Tian ◽  
Hao Jin ◽  
Chao Yu ◽  
...  
Keyword(s):  
Petri Net ◽  
Evaluation Method ◽  
Safety Evaluation ◽  
Diagnostic System ◽  
Test Methods ◽  
Protection System ◽  
Stochastic Petri Net ◽  
Practical Engineering ◽  
Common Cause Failures ◽  
High Integrity

In this paper, a safety evaluation method of subsea High Integrity Pressure Protection System (HIPPS) based on a generalized stochastic Petri net model is proposed. Different test methods were used to detect different types of failures and to analyze the reliability of HIPPS components under the influence of common cause failures and incomplete repair. The reliability curve of a diagnostic system consisting of a transmitter system and a logic system under the influence of uncertainty over time is analyzed. The safety of HIPPS with diverse test methods were quantitatively analyzed. The results show a significant improvement in the performance of the system after testing and maintenance. Both partial-stroke testing and increased partial-stroke test coverage can be used to increase the HIPPS performance compared to traditional methods. The analysis of the Partial stroke test (PST) strategy can afford a academic basis for the selection of PST frequency and Functional test (FT) interval in practical engineering.

Stochastic Petri Net Models

1996 ◽  
pp. 119-142
Author(s):  
Robin Sahner ◽  
Kishor S. Trivedi ◽  
Antonio Puliafito
Keyword(s):  
Petri Net ◽  
Stochastic Petri Net
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