Asset Integrity Management – Natural Gas Slug Catcher Facility

2014 ◽  
Author(s):  
D.. Williams ◽  
A.. Boodoosingh
Keyword(s):  
Natural Gas ◽  
Continuous Monitoring ◽  
Integrated Approach ◽  
Process Control System ◽  
Monitoring And Control ◽  
Operational Strategies ◽  
Maintenance System ◽  
Integrity Management ◽  
And Control ◽  
Management Report

Abstract Reliable operations of the Natural Gas {Slug catcher} Facility are heavily dependent on flawless operations and also the maintenance system implemented. The maintenance system is driven by the Asset Integrity Management System (AIMS), which incorporates corrosion control, equipment maintenance, pipeline operations and vessel inspection. This system is also supported by continuous monitoring and control using a Process Control System for the natural gas facility. This paper presents an integrated approach to operations of the Slug catcher facility based on AIMS and operational strategies, which are implemented to ensure efficient and effective operations. Additionally, recommendations for further improvement are documented based on a recent Asset Integrity Management Report.

Development of an Ontology for an Industrial Domain

2011 ◽  
pp. 277-291 ◽  
Author(s):  
Christine W. Chan
Keyword(s):  
Natural Gas ◽  
Software Agents ◽  
Gas Pipeline ◽  
Monitoring And Control ◽  
Knowledge Modeling ◽  
Ontology Construction ◽  
Natural Gas Pipeline ◽  
Knowledge Based ◽  
Application Ontology ◽  
And Control

This chapter presents a method for ontology construction and its application in developing ontology in the domain of natural gas pipeline operations. Both the method as well as the application ontology developed, contribute to the infrastructure of Semantic Web that provides semantic foundation for supporting information processing by autonomous software agents. This chapter presents the processes of knowledge acquisition and ontology construction for developing a knowledge-based decision support system for monitoring and control of natural gas pipeline operations. Knowledge on the problem domain was acquired and analyzed using the Inferential Modeling Technique, then the analyzed knowledge was organized into an application ontology and represented in the Knowledge Modeling System. Since ontology is an explicit specification of a conceptualization that provides a comprehensive foundation specification of knowledge in a domain, it provides semantic clarifications for autonomous software agents that process information on the Internet.

scholarly journals Classification of Actigraphy Records from Bipolar Disorder Patients Using Slope Entropy: A Feasibility Study

Entropy ◽  
2020 ◽  
Vol 22 (11) ◽  
pp. 1243
Author(s):  
David Cuesta-Frau ◽  
Jakub Schneider ◽  
Eduard Bakštein ◽  
Pavel Vostatek ◽  
Filip Spaniel ◽  
...  
Keyword(s):  
Bipolar Disorder ◽  
Continuous Monitoring ◽  
Monitoring And Control ◽  
Term Evolution ◽  
Entropy Measures ◽  
High Prevalence ◽  
Technological Developments ◽  
And Control

Bipolar Disorder (BD) is an illness with high prevalence and a huge social and economic impact. It is recurrent, with a long-term evolution in most cases. Early treatment and continuous monitoring have proven to be very effective in mitigating the causes and consequences of BD. However, no tools are currently available for a massive and semi-automatic BD patient monitoring and control. Taking advantage of recent technological developments in the field of wearables, this paper studies the feasibility of a BD episodes classification analysis while using entropy measures, an approach successfully applied in a myriad of other physiological frameworks. This is a very difficult task, since actigraphy records are highly non-stationary and corrupted with artifacts (no activity). The method devised uses a preprocessing stage to extract epochs of activity, and then applies a quantification measure, Slope Entropy, recently proposed, which outperforms the most common entropy measures used in biomedical time series. The results confirm the feasibility of the approach proposed, since the three states that are involved in BD, depression, mania, and remission, can be significantly distinguished.

scholarly journals Efficient Wireless Monitoring and Control of a Grid-Connected Photovoltaic System

2021 ◽  
Vol 11 (5) ◽  
pp. 2287
Author(s):  
Jonathan Medina-García ◽  
Aránzazu D. Martín ◽  
Juan M. Cano ◽  
Juan A. Gómez-Galán ◽  
Adoración Hermoso
Keyword(s):  
Wireless Communication ◽  
Low Cost ◽  
Integrated Approach ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Sensor Nodes ◽  
Effective Control ◽  
Monitoring And Control ◽  
System Solution ◽  
And Control

The design, monitoring, and control of photovoltaic (PV) systems are complex tasks that are often handled together, and they are made even more difficult by introducing features such as real-time, sensor-based operation, wireless communication, and multiple sensor nodes. This paper proposes an integrated approach to handle these tasks, in order to achieve a system efficient in tracking the maximum power and injecting the energy from the PV modules to the grid in the correct way. Control is performed by means of an adaptive Lyapunov maximum power point tracking (MPPT) algorithm for the DC/DC converters and a proportional integral (PI) control for the inverters, which are applied to the system using low latency wireless technology. The system solution exploits a low-cost wireless multi-sensor architecture installed in each DC/DC converter and in each inverter and equipped with voltage, current, irradiance, and temperature sensors. A host node provides effective control, management, and coordination of two relatively independent wireless sensor systems. Experimental validation shows that the controllers ensure maximum power transfer to the grid, injecting low harmonic distortion current, thus guaranteeing the robustness and stability of the system. The results verified that the MPPT efficiency is over 99%, even under perturbations and using wireless communication. Moreover, the converters’ efficiency remains high, i.e., for the DC/DC converter a mean value of 95.5% and for the inverter 93.3%.

scholarly journals Internet of things for industrial monitoring and control applications

2018 ◽  
Vol 7 (2.21) ◽  
pp. 280 ◽  
Author(s):  
R A. Karthika ◽  
Shaik Rahamtula ◽  
Yalavarthi Anusha
Keyword(s):  
Continuous Monitoring ◽  
Control Algorithms ◽  
Raspberry Pi ◽  
Monitoring And Control ◽  
Credit Score ◽  
Score Card ◽  
Industrial Monitoring ◽  
Processing Control ◽  
And Control ◽  
E Mail

Smart enterprise is an observing, controlling and investigating carrier which incorporates wireless transmission generation and electronic sensor innovation. It permits the client to get the overall scope of services, the opportunity for continuous monitoring and automated controlling of industrial environment.  This paper was advanced to provide internet based totally smoke and temperature and security tracking. This device is allowed to track the facts every time & everywhere from the source of the internet whenever we login into internet. This paper also concludes that person can set restriction for above parameters & if these parameters cross beyond that cost, it's going to activate the devices. As a part of its alarm gadget, it'll play the recorded sounds: “intruder” or “smoke detected” when there may be a detection. The credit score card size Raspberry Pi (RPI) with Open source pc vision (OpenCV) software program handles the photo processing, control algorithms for the alarms and sends captured snap shots to consumer’s e mail through wireless. In this project Raspberry Pi3B+ is used.  

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