Doing the Right Things Through Operator Proactive Monitoring

2021 ◽  
Author(s):  
Ziad Khoori ◽  
Ivan Novendri
Keyword(s):  
Situational Awareness ◽  
Field Operator ◽  
Monitoring And Control ◽  
Control Room ◽  
Gas Processing ◽  
Wide Range ◽  
Critical Paths ◽  
The Right ◽  
And Control ◽  
Proactive Monitoring

Abstract Operator Proactive Monitoring is one of the critical paths to Ensure Safe Production. The objective is to ensure that facilities are proactively monitored to retain the best possible level of situational awareness. It is achieved by monitoring and control the unit and equipment to avoid exceeding a safe limit while meeting all operational and business targets. It promotes early detection & appropriate intervention to an arising abnormal situation. Operator Proactive Monitoring covers a wide range of activities from a control room and field operation. ADNOC Gas Processing, in line with the digital transformation program, has enterprise assets/equipment through implementing Operator Proactive Monitoring for control room and field operator. Operator rounds play an essential role in improving plant reliability and safety. This research aims to measure the effectiveness of the Operator Proactive Monitoring by the Ruwais NGL Operation division at ADNOC Gas Processing. By "doing the right thing," Operator Proactive Monitoring effectively supports and improves process safety culture in the operation business of Ruwais Plant division of ADNOC Gas Processing.

scholarly journals Communication infrastructure for situational awareness enhancement in WAMS with optimal PMU placement

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Bhargav Appasani ◽  
Amitkumar Vidyakant Jha ◽  
Sunil Kumar Mishra ◽  
Abu Nasar Ghazali
Keyword(s):  
Real Time ◽  
Situational Awareness ◽  
Area Measurement ◽  
Measurement Unit ◽  
Monitoring And Control ◽  
Communication Infrastructure ◽  
Wide Area Measurement System ◽  
Digital Elevation ◽  
Elevation Model ◽  
And Control

AbstractReal time monitoring and control of a modern power system has achieved significant development since the incorporation of the phasor measurement unit (PMU). Due to the time-synchronized capabilities, PMU has increased the situational awareness (SA) in a wide area measurement system (WAMS). Operator SA depends on the data pertaining to the real-time health of the grid. This is measured by PMUs and is accessible for data analytics at the data monitoring station referred to as the phasor data concentrator (PDC). Availability of the communication system and communication delay are two of the decisive factors governing the operator SA. This paper presents a pragmatic metric to assess the operator SA and ensure optimal locations for the placement of PMUs, PDC, and the underlying communication infrastructure to increase the efficacy of operator SA. The uses of digital elevation model (DEM) data of the surface topography to determine the optimal locations for the placement of the PMU, and the microwave technology for communicating synchrophasor data is another important contribution carried out in this paper. The practical power grid system of Bihar in India is considered as a case study, and extensive simulation results and analysis are presented for validating the proposed methodology.

scholarly journals A Data-Driven Situational Awareness System for Enhanced Air Cargo Operations Emergency Control

Smart Cities ◽  
2021 ◽  
Vol 4 (3) ◽  
pp. 1087-1103
Author(s):  
Christos Spandonidis ◽  
Fotis Giannopoulos ◽  
Areti Petsa ◽  
Periklis Eleftheridis ◽  
Elias Sedikos
Keyword(s):  
Situational Awareness ◽  
Fire Suppression ◽  
Cost Optimization ◽  
Air Cargo ◽  
Monitoring And Control ◽  
Monitoring And Control System ◽  
Related Data ◽  
Machine Interface ◽  
And Control ◽  
Unloading Time

Based on the constant need for safety and operational cost optimization, the air-cargo industry is continually evolving in the context of Industry 4.0. Used wisely, data can help the industry to provide critical resilience that will allow authorities to take proper measures/actions in response to unexpected disasters and secure societal protection. The “INTELLICONT” project combines state-of-the-art technologies blended with novel solutions to improve the loading/unloading time, the structural status awareness, and the safety and security of the air-cargo related operations (prior to, during, and after the flight), as well as to enhance their capabilities related to the execution of their duties. The suggested system is contextually aligned and harmonized with the existing international and EU regulations. In the present work, the remote monitoring and control system for intelligent aircraft cargo containers have been presented from the software perspective. The intelligent containers integrate three types of sensors, Structural Health Monitoring, fire suppression, and locking status indication. The focus has been given to the design and development of a Human Machine Interface (HMI) capable to visualize all related data for better and safer control of the aircraft cargo. It is shown that the system can contribute to making the air transportations safer, environmentally friendlier, faster and with the lowest possible cost.

scholarly journals Enabling Smart Buildings by Indoor Visible Light Communications and Machine Learning

2019 ◽  
Author(s):  
Shuping Dang ◽  
Guoqing Ma ◽  
Basem Shihada ◽  
Mohamed-Slim Alouini
Keyword(s):  
Machine Learning ◽  
Visible Light ◽  
Data Transmission ◽  
Visible Light Communications ◽  
Monitoring And Control ◽  
Smart Building ◽  
Wide Range ◽  
Tremendous Amount ◽  
Processing Techniques ◽  
And Control

<pre>The smart building (SB), a promising solution to the fast-paced and continuous urbanization around the world, is an integration of a wide range of systems and services and involves a construction of multiple layers. The SB is capable of sensing, acquiring and processing a tremendous amount of data as well as performing proper action and adaptation accordingly. With rapid increases in the number of connected nodes and thereby the data transmission demand in SBs, conventional transmission and processing techniques are insufficient to provide satisfactory services. To enhance the intelligence of SBs and achieve efficient monitoring and control, both indoor visible light communications (VLC) and machine learning (ML) shall be applied jointly to construct a reliable data transmission network with powerful data processing and reasoning abilities. In this regard, we envision an SB framework enabled by indoor VLC and ML in this article.</pre>

Use Patterns and Residual Levels of Organophosphate Pesticides on Vegetables in Trinidad, West Indies

1999 ◽  
Vol 82 (4) ◽  
pp. 991-996 ◽  
Author(s):  
Ivan Chang Yen ◽  
Isaac Bekele ◽  
Carlyle Kalloo
Keyword(s):  
Regulatory Agencies ◽  
Organophosphate Pesticides ◽  
Monitoring And Control ◽  
Pesticide Application ◽  
Use Patterns ◽  
Application Rates ◽  
Island State ◽  
Wide Range ◽  
Pirimiphos Methyl ◽  
And Control

Abstract The twin-island state of Trinidad and Tobago produces much of the fresh fruit and vegetables consumed locally, although some are exported to Europe and North America. On average, approximately 1500 tons of pesticides are imported annually, of which about 10-15% are organophosphates. A survey of local farmers revealed that a wide range of pesticides are used and that the same pesticides are used on several crops to control different pests. Application rates exceeding manufacturers' recommendations are also common, as is the disregard of recommended preharvest intervals after pesticide application. Praedial larceny and subsequent sale of freshly sprayed crops also contribute to the risks posed to consumers by pesticide residues. A market basket survey of produce conducted between October 1996 and May 1997 in Trinidad for organophosphate pesticides showed that 10% of produce exceeded the internationally acceptable maximum residue limits (MRLs) for the respective pesticides. Celery constituted 6.5% of all such samples, with over 83% of celery samples exceeding the MRL. Organophosphate pesticides detected were methamidophos, triazophos, prophenofos, diazinon, ethion, pirimiphos methyl, malathion, and dimethoate, with the first 4 being the most commonly detected. There is an urgent need for comprehensive monitoring and control of pesticides on produce by local regulatory agencies, especially because the above data relate only to one class of pesticides. The education of farmers on safe operating practices regarding pesticide application and observation of recommended preharvest intervals for applied pesticides is also required.

scholarly journals Small Modular Reactor Human-System Interface and Control Room Layout Design

2019 ◽  
Vol 63 (1) ◽  
pp. 516-520
Author(s):  
Kevin LaFerriere ◽  
Jessica Stevens ◽  
Ryan Flamand NuScale
Keyword(s):  
Nuclear Power ◽  
Power Plants ◽  
Monitoring And Control ◽  
Control Room ◽  
Operating Characteristics ◽  
Human System ◽  
Small Modular Reactor ◽  
Room Design ◽  
Safety Features ◽  
And Control

The NuScale Small Modular Reactor (SMR) is premised on well-established nuclear technology principles with a focus on integration of components, simplification or elimination of systems, automation, and use of passive safety features. Traditional nuclear power plants have in some cases operated up to four modules from a single control room. Due to the unique nontraditional operating characteristics of this technology a state-of-the art control room design was needed to ensure proper staffing totals for monitoring and control of multiple modules (twelve) from a single control room. To accomplish this, the human system interface and control room layout must translate the functional and task requirements needed for safe operation of the plant into the detailed design of workstations, alarms, controls, navigation, and other needs of the control room operations staff.

Wheel-Tooling Gap Measurement System for Conform™ Extrusion Machinery Based on a Capacitive Sensor

2005 ◽  
Vol 127 (2) ◽  
pp. 394-401 ◽  
Author(s):  
K. Khawaja ◽  
L. Seneviratne ◽  
K. Althoefer
Keyword(s):  
Measurement System ◽  
Capacitive Sensor ◽  
Extrusion Process ◽  
Monitoring And Control ◽  
Sensing System ◽  
Gap Measurement ◽  
Wide Range ◽  
On Line ◽  
And Control ◽  
First Time

Conform™ extrusion is a very versatile manufacturing process enabling the production of a wide range of extruded profiles. It is critical to maintain a precise predefined wheel-tooling gap for the efficient running of the Conform extrusion process and to maintain high product quality. However, this is a challenging task due to the hostile environment, high operating temperatures, and required accuracy. An accurate high-temperature gap measurement system for Conform extrusion machinery, using a capacitive sensing system, is developed in this study. The sensor is implemented in a copper Conform extrusion machine, and experimental results are presented, providing for the first time a detailed view of Conform Extrusion gap behavior during production. It is shown that the proposed gap-sensing and control system results in a number of advantages, including reduced machine setup times, reduced flash (waste) rates, and on-line monitoring and control of gap size. The research is carried out in collaboration with Holton Machinery Ltd., a leading manufacturer of Conform Extrusion machinery.

scholarly journals Integrating Statistical Machine Learning in a Semantic Sensor Web for Proactive Monitoring and Control

Sensors ◽  
2017 ◽  
Vol 17 (4) ◽  
pp. 807 ◽  
Author(s):  
Jude Adeleke ◽  
Deshendran Moodley ◽  
Gavin Rens ◽  
Aderemi Adewumi
Keyword(s):  
Machine Learning ◽  
Monitoring And Control ◽  
Statistical Machine Learning ◽  
Sensor Web ◽  
Semantic Sensor Web ◽  
And Control ◽  
Proactive Monitoring

scholarly journals A Microforecasting Module for Energy Management in Residential and Tertiary Buildings †

Energies ◽  
2019 ◽  
Vol 12 (6) ◽  
pp. 1006 ◽  
Author(s):  
Sergio Bruno ◽  
Gabriella Dellino ◽  
Massimo La Scala ◽  
Carlo Meloni
Keyword(s):  
Energy Management ◽  
Predictive Control ◽  
Moving Average ◽  
Hierarchical Control ◽  
Control Device ◽  
Small Scale ◽  
Monitoring And Control ◽  
Control Functions ◽  
The Right ◽  
And Control

The paper describes the methodology used for developing an electric load microforecasting module to be integrated in the Energy Management System (EMS) architecture designed and tested within the “Energy Router” (ER) project. This Italian R&D project is aimed at providing non-industrial active customers and prosumers with a monitoring and control device that would enable demand response through optimization of their own distributed energy resources (DERs). The optimal control of resources is organized with a hierarchical control structure and performed in two stages. A cloud-based computation platform provides global control functions based on model predictive control whereas a closed-loop local device manages actual monitoring and control of field components. In this architecture, load forecasts on a small scale (a single residential or tertiary building) are needed as inputs of the predictive control problem. The microforecasting module aimed at providing such inputs was designed to be flexible, adaptive, and able to treat data with low time resolution. The module includes alternative forecasting techniques, such as autoregressive integrated moving average (ARIMA), neural networks, and exponential smoothing, allowing the application of the right forecasting strategy each time. The presented test results are based on a dataset acquired during a monitoring campaign in two pilot systems, installed during the ER Project in public buildings.

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