scholarly journals A Digital Twin for Risk Modeling and Decision-Support in a Smart Energy Grid

2020 ◽  
Author(s):  
Mats Johansson ◽  
Patrik Eklund
Keyword(s):  
Decision Support ◽  
Risk Modeling ◽  
Digital Twin ◽  
Energy Grid

scholarly journals Modeling and visualization of the forecast trajectory for the decision support system for controlling the movement of a river displacement vessel

2021 ◽  
Vol 2131 (3) ◽  
pp. 032033
Author(s):  
R E Galeev ◽  
A V Soloviev ◽  
Y S Fedosenko
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Integrated Control ◽  
Software Implementation ◽  
Control Panel ◽  
Safe Distance ◽  
Digital Twin ◽  
Real Scene ◽  
Technical Measures

Abstract An approach to dynamic modeling of the predicted trajectory of movement of a displacement vessel and its continuous visualization on an electronic panel is considered, superimposed on the actual digital twin of the real scene of the environment along the course of the vessel. The hardware and software implementation of the developed approach as a decision support system for the navigator in the form of a standard option of the integrated control panel located in the wheelhouse provides an opportunity to objectively assess the safe distance to potential navigation obstacles within the ship’s course at the free distance of the vessel by means of combined visualization. As part of the organizational and technical measures to ensure the safety of navigation, the proposed innovative approach to continuous joint visualization of the digital twin of the current scene of the surrounding sailing situation and the predicted trajectory of the vessel’s movement acquires significant importance in the operation of automatic vessels as an option for the supervisor to intervene in the operation of an integrated automatic control system in complex navigating conditions.

Building a Risk Based Decision Support System for Midstream Shale Gas Assets

2014 ◽  
Author(s):  
Jake Murray ◽  
Matt Landry
Keyword(s):  
Risk Assessment ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Asset Management ◽  
Risk Model ◽  
Spatial Decision Support System ◽  
Risk Modeling ◽  
Potential Safety ◽  
Automated Processes

In order to support its goals of zero incidents through risk-based asset management, Access Midstream (Access) requires a solution for providing decision support by modeling integrity threats that indicate potential safety and environmental incidents on all of its pipeline assets. The objective is to tailor existing pipeline risk methods to properly account for the unique conditions inherent to midstream gathering assets while still being flexible enough to account for traditional gas transmission and liquids transportation lines. Access has created a unique risk-based spatial decision support system (RB-SDSS), customized to the needs of a gas gathering company that also owns and operates incidental gas transmission and hazardous liquids pipelines. Access’ business needs call for a comprehensive solution that includes a risk model that can handle a diverse asset base. Most of the company’s pipelines are unregulated, but risk-based management and decision-making are still desired for regulated and non-regulated pipelines alike. Access has designed a decision support system that automatically retrieves and integrates data, estimates risk with directly and indirectly related inputs in its algorithm, and disseminates the data to business users across the enterprise. The processing model is calibrated for risk assessment and is capable of distinguishing between high and low risk lines. It is able to generate results that can be understood and upon which appropriate action can be taken. These results are refreshed monthly as new assets are constructed or purchased and existing asset attributes are updated. Access’ decision support system is repeatable and scalable owing to maximum use of automated processes. The focus of this paper is to outline Access’ approach to building a risk assessment solution for its pipeline assets. Each component of the RB-SDSS is reviewed: (1) Data Integration, (2) Risk Modeling, and (3) Organizational Utilization. This includes strategies for assessing traditional pipeline threats, geospatial techniques used to infer data, how to assess data quality and completeness, challenges, lesson’s learned, and future improvements.

Decision support in productive processes through DES and ABS in the Digital Twin era: a systematic literature review

2021 ◽  
pp. 1-20
Author(s):  
Carlos Henrique dos Santos ◽  
José Arnaldo Barra Montevechi ◽  
José Antônio de Queiroz ◽  
Rafael de Carvalho Miranda ◽  
Fabiano Leal
Keyword(s):  
Decision Support ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Digital Twin

scholarly journals Digital twin-driven decision support system for opportunistic preventive maintenance scheduling in manufacturing

2021 ◽  
Vol 55 ◽  
pp. 439-446
Author(s):  
Anis Assad Neto ◽  
Bruna Sprea Carrijo ◽  
João Guilherme Romanzini Brock ◽  
Fernando Deschamps ◽  
Edson Pinheiro de Lima
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Preventive Maintenance ◽  
Maintenance Scheduling ◽  
Digital Twin

scholarly journals A decision support tool for operational planning: a Digital Twin using simulation and forecasting methods

Production ◽  
2020 ◽  
Vol 30 ◽  
Author(s):  
Carlos Henrique dos Santos ◽  
Renan Delgado Camurça Lima ◽  
Fabiano Leal ◽  
José Antonio de Queiroz ◽  
Pedro Paulo Balestrassi ◽  
...  
Keyword(s):  
Decision Support ◽  
Decision Support Tool ◽  
Operational Planning ◽  
Support Tool ◽  
Digital Twin ◽  
Forecasting Methods
Sign in / Sign up

Export Citation Format

Share Document