A Two-Phase Optimization Model Based on Inexact Air Dispersion Simulation for Regional Air Quality Control

2010 ◽  
Vol 211 (1-4) ◽  
pp. 121-134 ◽  
Author(s):  
Hongwei Lu ◽  
Guohe Huang ◽  
Li He
Keyword(s):  
Quality Control ◽  
Air Quality ◽  
Optimization Model ◽  
Two Phase ◽  
Model Based ◽  
Air Dispersion ◽  
Air Quality Control ◽  
Regional Air Quality ◽  
Phase Optimization

PASSIVE SAMPLERS - CHECKING METHOD IN THE AIR QUALITY CONTROL NETWORK

2006 ◽  
Vol 5 (6) ◽  
pp. 1333-1340 ◽  
Author(s):  
Cristina Miclaus ◽  
Stela Dezsy ◽  
Mihai Nicu
Keyword(s):  
Quality Control ◽  
Air Quality ◽  
Passive Samplers ◽  
Control Network ◽  
Air Quality Control

Air quality and synergistic health effects of ozone and nitrogen oxides in response to China’s integrated air quality control policies during 2015–2019

Chemosphere ◽  
2021 ◽  
Vol 268 ◽  
pp. 129385
Author(s):  
Xuguo Zhang ◽  
Jimmy C.H. Fung ◽  
Alexis K.H. Lau ◽  
Md Shakhaoat Hossain ◽  
Peter K.K. Louie ◽  
...  
Keyword(s):  
Quality Control ◽  
Air Quality ◽  
Nitrogen Oxides ◽  
Health Effects ◽  
Control Policies ◽  
Air Quality Control

scholarly journals Use of Multi-Agent Theory to Resolve Complex Indoor Air Quality Control Problems

Sensors ◽  
2019 ◽  
Vol 19 (5) ◽  
pp. 1206
Author(s):  
Shang-Yuan Chen ◽  
Cheng-Yen Chen
Keyword(s):  
Quality Control ◽  
Air Quality ◽  
Indoor Air Quality ◽  
Indoor Air ◽  
Control Program ◽  
Quality Data ◽  
Agent Theory ◽  
Air Quality Control ◽  
Multi Agent ◽  
Basic Ability

Taiwan has suffered from widespread haze and poor air quality during recent years, and the control of indoor air quality has become an important topic. This study relies on Multi-Agent theory in which collected air quality was used in calculations and after agents make decisions in accordance with pre-written rules to construct and indoor air quality control system and conflict resolution mechanism, which will serve to maintain a healthy and comfortable indoor environment. As for implementation, the simulated system used the Arduino open source microcontroller system to collect air quality data and turn on building equipment in order to improve indoor air quality. This study also used the graphic control program LabVIEW to write a control program and user interface. The implementation verifies the feasibility of applying multi-agent theory to air quality control systems, and an Individual intelligent agent has the basic ability to resolve their own conflicts autonomously. However, when there are multiple factors and user status are simultaneously involved in the decision-making, it is difficult for the system to exhaust all conflict conditions, and when context control surpassing the restrictions of binary logic rule-based reasoning, it is necessary to change the algorithm and redesign the system.

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