Semantic function module pipeline generation

2021 ◽  
Vol 69 (12) ◽  
pp. 1040-1050
Author(s):  
Nicolai Schoch ◽  
Mario Hoernicke ◽  
Katharina Stark

Abstract With modular automation, modular industrial plants use a functional engineering approach, and modules enable plug & produce plant engineering. However, plant configuration is still a largely manual process and often not optimized with respect to the available information. In this contribution, we propose a system and algorithm to support the automation engineer in the process of joining together modules into process pipelines and in their optimization. Our solution is built upon an abstract semantic data model that facilitates the automated matching of pre- and post-condition of modules and of the things that are processed by these modules. The pipeline generation engine is further extended by means of an optimization and ranking algorithm, and thus enables automated inter-module pipeline generation and plant optimization. We evaluate our system by means of a simple fictional use case scenario and prove feasibility, applicability as well as the huge potential for time and cost savings.

Author(s):  
Scott G. Danielson

Abstract An engineering database modeling telephone outside plant networks is developed. Semantic and relational database design methodologies are used with the semantic data model developed based on an extended entity-relationship approach. This logical model is used to generate a normalized relational data structure. This database holds engineering data supporting engineering analyses, engineering work order generation procedures, and network planning activities. The database has been linked to separate network analysis programs and CAD-based network maps by a database application.


Author(s):  
Uwe Weissflog

Abstract This paper provides an overview of methods and ideas to achieve data integration in CIM. It describes a dictionary approach allowing participating applications to define their common constructs gradually as an additional service across application systems. Because of the importance of product definition data, the role of PDES/STEP as part of this dictionary approach is also described. The technical concepts of the dictionary, such as schema mapping, semantic data model, user methods and the required additions within participating applications are explained. Problems related to data integrity, data redundancy, performance and binding of dissimilar software components are discussed as well as the deficiencies related to today’s data modelling capabilities. The added value an active dictionary can provide to a CIM environment consisting of established applications in heterogeneous environments, where migration into one standardized homogeneous set of CIM applications is not likely, is also explained.


2021 ◽  
Author(s):  
Ahmed Abdelkhalek ◽  
Govindavilas Sudhesh ◽  
Anjan Sarkar ◽  
Mohammed Eissa

Abstract Structural bearings of 47 offshore platform-link bridges with average age of 40 years were inspected and recommended for replacements due to their poor condition. Replacement of bridge bearings involves major risk and production interruptions given the structural modifications, and critical piping and E&I disconnections required for safe jacking-lifting activities required during the process. This paper presents the approach adopted to assure the integrity of the bridges and extend their lives without the need to replace the bearings. The approach employed failure mode and effect analysis to identifying and narrowing down areas that need focused efforts while tackling the problem. Scenario based structural assessments were carried out to examine the impact of the level of movement-allowing bearings functionality on the integrity of the bridge and its supporting structures; identify critical locations to be targeted during focused inspections; and establish envelopes for monitoring thermal expansion and contraction of the bridges. Guidelines were developed and implemented for integrated inspection-maintenance and repair campaign, which aimed to tackle corrosion issues and to install movement-monitoring indicators. Indicator seasonal monitoring is employed to establish the functionality of bearings on the long-term. The what-if structural assessments revealed that even in the worst-case scenario (in which the bearing are completely jammed) the option of local strengthening of the bridge and its supporting elements is more attractive than bearing replacement. The integrated inspection-maintenance and repair campaigns revealed that excessive corrosion levels observed from historic visual inspections on external non-critical bearing components (e.g: guide plates, angles, etc.) is not indicative of the condition of the internal load-bearing components (pedestals) which experienced much lower corrosion levels. The seasonal monitoring of bridge movements revealed that the 40+ years old Teflon pads are still functional and allow the bridges expansion and contraction. The developed holistic approach enabled demonstration of the fitness for service of the bearings, and provided means for assuring their long-term performance through monitoring. The results assured safety, integrity and delivered significant cost savings through aversion brownfield modifications, and production loss associated with bridge jacking and bearing replacement operations.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Xuhui Li ◽  
Liuyan Liu ◽  
Xiaoguang Wang ◽  
Yiwen Li ◽  
Qingfeng Wu ◽  
...  

Purpose The purpose of this paper is to propose a graph-based representation approach for evolutionary knowledge under the big data circumstance, aiming to gradually build conceptual models from data. Design/methodology/approach A semantic data model named meaning graph (MGraph) is introduced to represent knowledge concepts to organize the knowledge instances in a graph-based knowledge base. MGraph uses directed acyclic graph–like types as concept schemas to specify the structural features of knowledge with intention variety. It also proposes several specialization mechanisms to enable knowledge evolution. Based on MGraph, a paradigm is introduced to model the evolutionary concept schemas, and a scenario on video semantics modeling is introduced in detail. Findings MGraph is fit for the evolution features of representing knowledge from big data and lays the foundation for building a knowledge base under the big data circumstance. Originality/value The representation approach based on MGraph can effectively and coherently address the major issues of evolutionary knowledge from big data. The new approach is promising in building a big knowledge base.


Author(s):  
Brian A. Nixon ◽  
K. Lawrence Chung ◽  
David Lauzon ◽  
Alex Borgida ◽  
John Mylopoulos ◽  
...  

2020 ◽  
Vol 3 (5) ◽  
pp. 234-242 ◽  
Author(s):  
Gilaad G Kaplan ◽  
Christopher Ma ◽  
Cynthia H Seow ◽  
Karen I Kroeker ◽  
Remo Panaccione

Abstract A nonmedical switch policy is currently being considered in Alberta, which would force patients on originator biologics to biosimilar alternatives with the hypothetical aim of reducing costs to the health care system. The evidence to support the safety of nonmedical switching in patients with inflammatory bowel disease (IBD) is of low to very low quality; in fact, existing data suggest a potential risk of harm. In a pooled analysis of randomized controlled trials, one patient would lose response to infliximab for every 11 patients undergoing nonmedical switching. Switching to a biosimilar has important logistical and ethical implications including potential forced treatment changes without appropriate patient consent and unfairly penalizing patients living in rural areas and those without private drug insurance. Even in the best-case scenario, assuming perfectly executed switching without logistical delays, we predict switching 2,000 patients with Remicade will lead to over 60 avoidable surgeries in Alberta. Furthermore, nonmedical switching has not been adequately studied in vulnerable populations such as children, pregnant women, and elderly patients. While the crux of the argument for nonmedical switching is cost savings, biosimilar switching may not be cost effective: Particularly when originator therapies are being offered at the same price as biosimilars. Canadian patients with IBD have been surveyed, and their response is clear: They are not in support of nonmedical switching. Policies that directly influence patient health need to consider patient perspectives. Solutions to improve cost efficiency in health care exist but open, transparent collaboration between all involved stakeholders is required.


1987 ◽  
Vol 16 (3) ◽  
pp. 118-131 ◽  
Author(s):  
Brian Nixon ◽  
Lawrence Chung ◽  
John Mylopoulos ◽  
David Lauzon ◽  
Alex Borgida ◽  
...  

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