Risk Evaluation and Control Strategies for Indoor Radon: A Brief Discussion

1994 ◽  
Vol 56 (1-4) ◽  
pp. 359-365
Author(s):  
A.V. Nero Jr. (INVITED)
Keyword(s):  
Conceptual Framework ◽  
Control Strategies ◽  
Indoor Radon ◽  
Public Information ◽  
Cost Benefit ◽  
Outdoor Environment ◽  
Monitoring And Control ◽  
Reliable Monitoring ◽  
Near Term ◽  
And Control

Abstract Average risks of death estimated for radon are larger than those for many exposures in the outdoor environment, but similar to some in industrial settings. However, the indoor environment differs in regard to cost, benefit, responsibility, and distribution of risks from the outdoor and occupational settings, where frameworks for setting risk-limiting objectives and strategies have already been developed substantially. This indicates the need to develop a conceptual framework for evaluating risks in the outdoor environment, within which the objectives of radon control strategies can be sensibly chosen. Nevertheless, the range of estimated radon risks and of recent radon control strategies suggest near-term elements of any strategy, i.e. accurate and effective public information, as well as reliable monitoring and control capabilities, and a focus on areas where most high residential levels occur. Developing a conceptual framework for evaluating indoor risks will permit the formulation of suitable aims on average indoor exposures and lower exposure situations.

scholarly journals Towards smart biomanufacturing: a perspective on recent developments in industrial measurement and monitoring technologies for bio-based production processes

2020 ◽  
Vol 47 (11) ◽  
pp. 947-964 ◽  
Author(s):  
Carina L. Gargalo ◽  
Isuru Udugama ◽  
Katrin Pontius ◽  
Pau C. Lopez ◽  
Rasmus F. Nielsen ◽  
...  
Keyword(s):  
Industrial Revolution ◽  
Control Strategies ◽  
Smart Manufacturing ◽  
Monitoring And Control ◽  
Large Sets ◽  
Production Processes ◽  
Recent Developments ◽  
Monitoring Technologies ◽  
And Control ◽  
Industrial Measurement

AbstractThe biomanufacturing industry has now the opportunity to upgrade its production processes to be in harmony with the latest industrial revolution. Technology creates capabilities that enable smart manufacturing while still complying with unfolding regulations. However, many biomanufacturing companies, especially in the biopharma sector, still have a long way to go to fully benefit from smart manufacturing as they first need to transition their current operations to an information-driven future. One of the most significant obstacles towards the implementation of smart biomanufacturing is the collection of large sets of relevant data. Therefore, in this work, we both summarize the advances that have been made to date with regards to the monitoring and control of bioprocesses, and highlight some of the key technologies that have the potential to contribute to gathering big data. Empowering the current biomanufacturing industry to transition to Industry 4.0 operations allows for improved productivity through information-driven automation, not only by developing infrastructure, but also by introducing more advanced monitoring and control strategies.

Theoretical modelling of the self-tapping screw fastening process

2001 ◽  
Vol 215 (2) ◽  
pp. 135-154 ◽  
Author(s):  
L D Seneviratne ◽  
F A Ngemoh ◽  
S W E Earles ◽  
K A Althoefer
Keyword(s):  
Theoretical Model ◽  
Control Strategies ◽  
The Self ◽  
Theoretical Modelling ◽  
Insertion Torque ◽  
Monitoring And Control ◽  
Screw Insertion ◽  
Engineering Mechanics ◽  
And Control ◽  
Insertion Process

The results of a theoretical study of the self-tapping screw insertion process are presented. Fundamental concepts of engineering mechanics are employed to analyse the axial torque required to complete a general self-tapping screw insertion operation. Equations for the screw insertion torque as a function of screw, hole and material properties are presented. Experimental results for torque signature signals are compared with the predictions of the theoretical model, confirming the validity of the model. The theoretical model provides a basis for developing automated monitoring and control strategies for self-tapping screw fastenings.

scholarly journals Monitoring and Analysis of the Performance Data of a RO-PAX Ship in the Perspective of Energy Efficiency

2015 ◽  
Vol 21 (4) ◽  
pp. 18-26 ◽  
Author(s):  
Anna Maria Galli ◽  
Paola Gualeni ◽  
Giuseppe Stranieri ◽  
Stefano Qualich ◽  
Giovanni Cusano
Keyword(s):  
Energy Efficiency ◽  
Control Strategies ◽  
Large Data ◽  
International Standards ◽  
Pollutant Emissions ◽  
Data Sets ◽  
Monitoring And Control ◽  
Board Monitoring ◽  
Energy Processes ◽  
And Control

Abstract The rising cost of fuel, the more and more severe international standards and a growing awareness of the environmental impact of pollutant emissions have led energy efficiency to become a theme of great interest in the marine sector. The strategy for increasing energy efficiency may refer both to the consumption reduction and to the increase of energy recovery systems. This need turns out in monitoring and control strategies for energy processes on board. Monitoring information is recorded and stocked in a database, that needs to be analyzed to find out patterns in large data sets. A huge amount of data, from a RO-PAX ship, has been analyzed in order to gain a further insight into ship performances. Improvements in ship energy performances could be reached with an intense study of the historical data of the vessel attitude.

scholarly journals STRATEGIES FOR THE MANAGEMENT OF BUILT HERITAGE LINKED TO MAINTENANCE AND MONITORING. CASE STUDY OF THE SAN ROQUE NEIGHBORHOOD, CUENCA, ECUADOR

2017 ◽  
Vol XLII-2/W5 ◽  
pp. 755-761 ◽  
Author(s):  
M. C. Achig-Balarezo ◽  
L. Vázquez ◽  
M. G. Barsallo ◽  
J. C. Briones ◽  
J. Amaya
Keyword(s):  
Citizen Participation ◽  
Control Strategies ◽  
Monitoring And Control ◽  
The Sustainable Development ◽  
Preventive Conservation ◽  
Heritage Sites ◽  
Built Heritage ◽  
Strategic Factor ◽  
Historical Sites ◽  
And Control

The rehabilitation of heritage sites, as well as the implementation of monitoring and control strategies is fundamental for its conservation. In the case of Cuenca, a World Heritage City, a maintenance campaign in the traditional neighborhood of San Roque was carried out in 2014. The objective was to undertake maintenance actions on roofs and façades as well as on elements at risk. The campaign process was developed keeping in mind the cycle or phases of preventive conservation: anamnesis, diagnosis, therapy and control (ICOMOS, 2003). At the end of the maintenance campaign an impact assessment was undertaken and monitoring tools were handed out to the community in order to strengthen the citizen participation in the preservation of built heritage. The experience of the maintenance campaign unveiled a series of lessons that have been evaluated in the present investigation, being the main objective the strengthening of the processes of governance and documentation through the formulation of strategies inherent to the maintenance of heritage buildings. In this process it is shown that the participation of citizens is a strategic factor for the sustainable development of maintenance campaigns, which allow for the preservation of historical sites for future generations.

scholarly journals Fault-Tolerant Temperature Control Algorithm for IoT Networks in Smart Buildings

Energies ◽  
2018 ◽  
Vol 11 (12) ◽  
pp. 3430 ◽  
Author(s):  
Roberto Casado-Vara ◽  
Zita Vale ◽  
Javier Prieto ◽  
Juan Corchado
Keyword(s):  
Internet Of Things ◽  
Continuous Time ◽  
Control Algorithm ◽  
Fault Tolerant ◽  
The Internet ◽  
Monitoring And Control ◽  
Network Nodes ◽  
Reliable Monitoring ◽  
And Control ◽  
The Internet Of Things

The monitoring of the Internet of things networks depends to a great extent on the availability and correct functioning of all the network nodes that collect data. This network nodes all of which must correctly satisfy their purpose to ensure the efficiency and high quality of monitoring and control of the internet of things networks. This paper focuses on the problem of fault-tolerant maintenance of a networked environment in the domain of the internet of things. Based on continuous-time Markov chains, together with a cooperative control algorithm, a novel feedback model-based predictive hybrid control algorithm is proposed to improve the maintenance and reliability of the internet of things network. Virtual sensors are substituted for the sensors that the algorithm predicts will not function properly in future time intervals; this allows for maintaining reliable monitoring and control of the internet of things network. In this way, the internet of things network improves its robustness since our fault tolerant control algorithm finds the malfunction nodes that are collecting incorrect data and self-correct this issue replacing malfunctioning sensors with new ones. In addition, the proposed model is capable of optimising sensor positioning. As a result, data collection from the environment can be kept stable. The developed continuous-time control model is applied to guarantee reliable monitoring and control of temperature in a smart supermarket. Finally, the efficiency of the presented approach is verified with the results obtained in the conducted case study.

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