scholarly journals APPLICATION OF THE ADVANCED ATMOSPHERIC PLUME PROFILER TO CURRENT CHALK RIVER LABORATORIES MONITORING SYSTEMS

2015 ◽  
Vol 4 (2) ◽  
pp. 171-177
Author(s):  
Antoine Boyer ◽  
Matthew Border ◽  
Adrienne Ethier ◽  
Paul Leeson
Keyword(s):  
Dispersion Model ◽  
Monitoring Program ◽  
Atomic Energy ◽  
Monitoring Systems ◽  
Emission Sources ◽  
Atmospheric Monitoring ◽  
Canada Limited

The Advanced Atmospheric Plume Profiler (AAPP) was used to model emissions from facilities at Canadian Nuclear Laboratories (CNL, formerly Atomic Energy of Canada Limited). The model results were found to compare well with results from the current atmospheric monitoring program at the Chalk River Laboratories (CRL). The AAPP is a dispersion model designed and developed by CNL to model multiple emission sources from CRL operations. The AAPP used in conjunction with in-situ sampling can also estimate emissions from sources that are difficult to access or directly measure.

A Thread/Fabric-Based Band as A Flexible and Wearable Microfluidic Device for Sweat Sensing and Monitoring

Lab on a Chip ◽  
2021 ◽  
Author(s):  
Zhiqi Zhao ◽  
Qiujin Li ◽  
Linna Chen ◽  
Yu Zhao ◽  
Jixian Gong ◽  
...  
Keyword(s):  
Microfluidic Device ◽  
Point Of Care ◽  
Monitoring Systems ◽  
Biological Analytes

Flexible biosensors for monitoring systems have emerged as a promising portable diagnostics platform due to their potential for in situ point-of-care (POC) analytic devices. Assessment of biological analytes in sweat...

In-situ load testing of a WWII era timber Warren truss in the development of a structural health monitoring program

2021 ◽  
Vol 239 ◽  
pp. 112274
Author(s):  
Henry Helmer-Smith ◽  
Nicholas Vlachopoulos ◽  
Marc-André Dagenais ◽  
Bradley Forbes
Keyword(s):  
Structural Health Monitoring ◽  
Health Monitoring ◽  
Monitoring Program ◽  
Load Testing ◽  
Structural Health

Laboratory Experimentations for New Hydrothermal Monitoring Systems Using ADCPs

2013 ◽  
Author(s):  
Kanae Komaki ◽  
Mitsuru Shimazu ◽  
Shunsuke Kondo ◽  
Yosuke Onishi ◽  
Satoshi Furuta ◽  
...  
Keyword(s):  
Environmental Impact ◽  
Deep Ocean ◽  
Monitoring Systems ◽  
Echo Intensity ◽  
In Situ Data ◽  
Environmental Impact Assessments ◽  
Suspended Matters ◽  
Water Tanks ◽  
Ocean Mining

Deep ocean mining in a hydrothermal area needs careful environmental impact assessments in terms of preservation and mitigation of biodiversity. The General Environmental Technos Co. Ltd., or KANSO TECHNOS, for short, has participated in environmental impact assessments in hydrothermal areas in the Izu-Ogasawara and the East China Sea areas (Ishida et al., 2011). Through the experience, we suggest a method of using acoustic systems such as acoustic Doppler current profilers (ADCPs) for monitoring of suspended matters and benthos in hydrothermal areas. Thus, we try to do in-situ observations, called Tow-yo (or Towing) observations with ADCPs (Komaki and Ura, 2009; Komaki et al., 2010). This system has a great advantage in enabling the measurement of great environmental factors, echo intensity and current velocity in a large range. To confirm exactly what the substances are and how large they are from the measured echo intensity data, we tried laboratory experiments in water tanks with echo sounders and turbidity sensors. These results will finally be integrated in a simulation model to predict substances from in-situ data in deep water for future monitoring systems.

The Monitoring Software Design of Performance Test-Bed of Heat Pump Unit

2013 ◽  
Vol 475-476 ◽  
pp. 192-197
Author(s):  
Jian Wen Feng ◽  
Li Peng Wang
Keyword(s):  
Heat Pump ◽  
Performance Test ◽  
Fault Tolerant ◽  
Monitoring Program ◽  
Monitoring Systems ◽  
Air Conditioner ◽  
Test Bed ◽  
Pump Unit ◽  
Heat Pump Unit ◽  
Monitoring Software

Performance test-bed of heat pump unit in central air-conditioner needs the intelligent and multifunctional software. So the monitoring software is designed with a good human-machine interactive interface, based on Visual C# development platform. The software can dynamically configure channels and measurement points to improve the defects of fixed channels for all measuring points in the traditional monitoring systems, which enhanced the flexibility and reliability of system. In order to increase the data accuracy, the improved digital filter algorithm was adopted. In addition, multi-threading mechanism was used to achieve serial communication and data processing, which meets the requirements of monitoring program for multi-tasking and real-time. The results show that monitoring software is powerful, easy to operate, reliable, high fault-tolerant and good user-friendly. It is suitable for using in other monitoring systems.

scholarly journals Data Mining of the Thermal Performance of Cool-Pipes in Massive Concrete via In Situ Monitoring

2014 ◽  
Vol 2014 ◽  
pp. 1-15 ◽  
Author(s):  
Zheng Zuo ◽  
Yu Hu ◽  
Qingbin Li ◽  
Liyuan Zhang
Keyword(s):  
Data Mining ◽  
Flow Rate ◽  
Thermal Performance ◽  
Monitoring Program ◽  
Heat Removal ◽  
Arch Dam ◽  
In Situ Monitoring ◽  
High Arch Dam ◽  
Massive Concrete

Embedded cool-pipes are very important for massive concrete because their cooling effect can effectively avoid thermal cracks. In this study, a data mining approach to analyzing the thermal performance of cool-pipes via in situ monitoring is proposed. Delicate monitoring program is applied in a high arch dam project that provides a good and mass data source. The factors and relations related to the thermal performance of cool-pipes are obtained in a built theory thermal model. The supporting vector machine (SVM) technology is applied to mine the data. The thermal performances of iron pipes and high-density polyethylene (HDPE) pipes are compared. The data mining result shows that iron pipe has a better heat removal performance when flow rate is lower than 50 L/min. It has revealed that a turning flow rate exists for iron pipe which is 80 L/min. The prediction and classification results obtained from the data mining model agree well with the monitored data, which illustrates the validness of the approach.

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