Fog-computing concept usage as means to enhance information and control system reliability

In this paper, a novel integrated measuring and control system for hot box experiments is presented. The system, based on a general-purpose microcontroller and on a wireless sensors network, is able to fully control the thermal phenomena inside the chambers, as well as the heat flux that involves the specimen wall. Thanks to the continuous measurements of air and surfaces temperatures and energy input into the hot chamber, the thermal behavior of each hot box component is analyzed. A specific algorithm allows the post-process of the measured data for evaluating the specimen wall thermal quantities and for creating 2D and 3D thermal models of each component. The system reliability is tested on a real case represented by a double insulating X-lam wall. The results of the 72 h experiment show the system’s capability to maintain stable temperature set points inside the chambers and to log the temperatures measured by the 135 probes, allowing to know both the U-value of the sample (equal to 0.216 ± 0.01 W/m2K) and the thermal models of all the hot box components. The U-value obtained via hot box method has been compared with the values gathered through theoretical calculation and heat flow meter measurements, showing differences of less than 20%. Finally, thanks to the data postprocessing, the 2D and 3D thermal models of the specimen wall and of the chambers have been recreated.

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Plant and Control System Reliability and Risk Model

Reliability Data Collection and Use in Risk and Availability Assessment ◽

10.1007/978-3-642-82773-0_57 ◽

1986 ◽

pp. 564-572

Author(s):

I. M. Niemelä

Keyword(s):

Control System ◽

System Reliability ◽

Risk Model ◽

And Control

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Pipeline Control System Applications Targeting Business Objectives

Volume 2: Design, Construction, and Operation Innovations; Compression and Pump Technology; SCADA, Automation, and Measurement; System Simulation; Geotechnical and Environmental ◽

10.1115/ipc1996-1911 ◽

1996 ◽

Author(s):

John E. Feniak ◽

Dan A. King ◽

Michal Mensik

Keyword(s):

Control System ◽

System Reliability ◽

Integrated Control ◽

End User ◽

Control Engineering ◽

User Perspective ◽

Cost Performance ◽

Business Objectives ◽

Target Station ◽

And Control

Today’s increasingly competitive markets require new levels of reliability, flexibility and cost performance from gas transmission pipelines. One method that pipeline companies can use to address these business objectives is to target station and turbomachinery control system design specification, retrofits and integration. State of the art control tools and technologies have placed turbomachinery control engineering within the grasp of the end users. NOVA Gas Transmission Ltd. (NGTL) has taken advantage of this to specify, design, and implement integrated control systems that best address their business needs. This paper explores the end user perspective on applying control system technology to both new and existing compressor stations. The specification of new units and control retrofits are described. The resulting increase in system reliability and flexibility, and reduced maintenance costs is also presented.

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Smart Industrial IoT Monitoring and Control System Based on UAV and Cloud Computing Applied to a Concrete Plant

Sensors ◽

10.3390/s19153316 ◽

2019 ◽

Vol 19 (15) ◽

pp. 3316 ◽

Cited By ~ 11

Author(s):

Marouane Salhaoui ◽

Antonio Guerrero-González ◽

Mounir Arioua ◽

Francisco J. Ortiz ◽

Ahmed El Oualkadi ◽

...

Keyword(s):

Cloud Computing ◽

Control System ◽

Fog Computing ◽

Cloud Services ◽

Industrial Control System ◽

Monitoring And Control ◽

Industrial Control ◽

Monitoring And Control System ◽

Industrial Iot ◽

And Control

Unmanned aerial vehicles (UAVs) are now considered one of the best remote sensing techniques for gathering data over large areas. They are now being used in the industry sector as sensing tools for proactively solving or preventing many issues, besides quantifying production and helping to make decisions. UAVs are a highly consistent technological platform for efficient and cost-effective data collection and event monitoring. The industrial Internet of things (IIoT) sends data from systems that monitor and control the physical world to data processing systems that cloud computing has shown to be important tools for meeting processing requirements. In fog computing, the IoT gateway links different objects to the internet. It can operate as a joint interface for different networks and support different communication protocols. A great deal of effort has been put into developing UAVs and multi-UAV systems. This paper introduces a smart IIoT monitoring and control system based on an unmanned aerial vehicle that uses cloud computing services and exploits fog computing as the bridge between IIoT layers. Its novelty lies in the fact that the UAV is automatically integrated into an industrial control system through an IoT gateway platform, while UAV photos are systematically and instantly computed and analyzed in the cloud. Visual supervision of the plant by drones and cloud services is integrated in real-time into the control loop of the industrial control system. As a proof of concept, the platform was used in a case study in an industrial concrete plant. The results obtained clearly illustrate the feasibility of the proposed platform in providing a reliable and efficient system for UAV remote control to improve product quality and reduce waste. For this, we studied the communication latency between the different IIoT layers in different IoT gateways.

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Development of a Jacobian Module for Advanced Pulp and Paper Simulation and Control

TAPPI Journal ◽

10.32964/tj8.1.4 ◽

2009 ◽

Vol 8 (1) ◽

pp. 4-11

Author(s):

MOHAMED CHBEL ◽

LUC LAPERRIÈRE

Keyword(s):

Control System ◽

Nonlinear Behavior ◽

Simulation Software ◽

Pulp And Paper ◽

Pid Controllers ◽

Tuning Parameters ◽

Pid Tuning ◽

Fixed Set ◽

And Control ◽

Operating Points

Pulp and paper processes frequently present nonlinear behavior, which means that process dynam-ics change with the operating points. These nonlinearities can challenge process control. PID controllers are the most popular controllers because they are simple and robust. However, a fixed set of PID tuning parameters is gen-erally not sufficient to optimize control of the process. Problems related to nonlinearities such as sluggish or oscilla-tory response can arise in different operating regions. Gain scheduling is a potential solution. In processes with mul-tiple control objectives, the control strategy must further evaluate loop interactions to decide on the pairing of manipulated and controlled variables that minimize the effect of such interactions and hence, optimize controller’s performance and stability. Using the CADSIM Plus™ commercial simulation software, we developed a Jacobian sim-ulation module that enables automatic bumps on the manipulated variables to calculate process gains at different operating points. These gains can be used in controller tuning. The module also enables the control system designer to evaluate loop interactions in a multivariable control system by calculating the Relative Gain Array (RGA) matrix, of which the Jacobian is an essential part.

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