Air Quality Control

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Cheng-yen Chen - One of the best experts on this subject based on the ideXlab platform.

  • Use of Multi-Agent Theory to Resolve Complex Indoor Air Quality Control Problems.
    Sensors, 2019
    Co-Authors: Shang-yuan Chen, Cheng-yen Chen
    Abstract:

    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.

  • Use of Multi-Agent Theory to Resolve Complex Indoor Air Quality Control Problems.
    Sensors, 2019
    Co-Authors: Shang-yuan Chen, Cheng-yen Chen
    Abstract:

    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.

Shang-yuan Chen - One of the best experts on this subject based on the ideXlab platform.

  • Use of Multi-Agent Theory to Resolve Complex Indoor Air Quality Control Problems.
    Sensors, 2019
    Co-Authors: Shang-yuan Chen, Cheng-yen Chen
    Abstract:

    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.

  • Use of Multi-Agent Theory to Resolve Complex Indoor Air Quality Control Problems.
    Sensors, 2019
    Co-Authors: Shang-yuan Chen, Cheng-yen Chen
    Abstract:

    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.

Wang Jun - One of the best experts on this subject based on the ideXlab platform.

  • Simulation Research of Air Quality Control System of New Airliner Cabin
    Computer Simulation, 2006
    Co-Authors: Wang Jun
    Abstract:

    The Airliner cabin Air Quality is related to the safety, health and comfort of passengers and cabin crew. Compared with other indoor environments, such as homes and offices, the cabin environment is different in many respects-for example, the high occupant density, and the inability of occupants to leave at will. Considering the unique cabin environment, a new cabin Air Quality Control system based on active and passive Control strategy was described. In order to investigate the applying effects on cabin Air Quality Control system, a dynamic model for cabin Air Quality was established, by means of Lumped Parameter Method with physical analysis and logical simplification. According to the model, the Control strategy of cabin Air Quality was simulated and analyzed. Simulation results indicate that the cabin Air Quality change extent of Controlled object is wonderfully reduced and the Airliner cabin Air Quality is also improved.

Marialuisa Volta - One of the best experts on this subject based on the ideXlab platform.

  • A Short-Term Air Quality Control for PM10 Levels
    Electronics, 2020
    Co-Authors: C. Carnevale, Elena De Angelis, Franco Luis Tagliani, Enrico Turrini, Marialuisa Volta
    Abstract:

    In this work, the implementation and test of an integrated assessment model (IAM) to aid governments to define their short term plans (STP) is presented. The methodology is based on a receding horizon approach where the forecasting model gives information about a selected Air Quality index up to 3 days in advance once the emission of the involved pollutants (Control variable) are known. The methodology is fully general with respect to the model used for the forecast and the Air Quality index; nevertheless, the selection of these models must take into account the peculiarities of the pollutants to be Controlled. This system has been tested for particulate matter (PM10) Control over a domain located in Northern Italy including the highly polluted area of Brescia. The results show that the Control system can be a valuable asset to aid local authorities in the selection of suitable Air Quality plans.

  • ECC - An integrated forecasting system for Air Quality Control
    2019 18th European Control Conference (ECC), 2019
    Co-Authors: C. Carnevale, Giovanna Finzi, Elena De Angelis, Enrico Turrini, Marialuisa Volta
    Abstract:

    Atmospheric Air pollution is one of the main environmental problems that our society is facing. Moreover, according to the World Health Organization it is a major worldwide environmental risk to health. Due to these facts, Decision Support Systems (DSSs) have been developed to help Environmental Authorities in designing short and long terms Air Quality plans to cost-efficiently Control the impacts of atmospheric pollution. A key component of the DSSs is the Air Quality forecasting system, needed to compute the pollutant concentrations in advance with respect to the occurrence of critical events. These models can adopt either a deterministic or a statistical approach. In both cases, the resulting models are characterized by intrinsic strengths and weaknesses. This work proposes an approach to develop and implement Air Quality forecasting models by integrating these two approaches to reap their benefits while avoiding or minimizing the disadvantages, focusing on the often neglected field of short term Air pollution. This integration is done by implementing a reanalysis algorithm allowing to rely on the complexity and accuracy of deterministic models and on the performances of statistical models, limiting, at the same time, the frequent concentration underestimation of deterministic models and the statistical models spatial limitations. Such approach has been tested by identifying models to reproduce the daily mean concentrations of particulate matter on Lombardy region, a highly polluted area in Northern Italy.

  • Neuro-fuzzy and neural network systems for Air Quality Control
    Atmospheric Environment, 2009
    Co-Authors: Claudio Carnevale, Giovanna Finzi, Enrico Pisoni, Marialuisa Volta
    Abstract:

    Abstract In order to define efficient Air Quality plans, Regional Authorities need suitable tools to evaluate both the impact of emission reduction strategies on pollution indexes and the costs of such emission reductions. The Air Quality Control can be formalized as a two-objective nonlinear mathematical problem, integrating source–receptor models and the estimate of emission reduction costs. Both aspects present several complex elements. In particular the source–receptor models cannot be implemented through deterministic modelling systems, that would bring to a computationally unfeasible mathematical problem. In this paper we suggest to identify source–receptor statistical models (neural network and neuro-fuzzy) processing the simulations of a deterministic multi-phase modelling system (GAMES). The methodology has been applied to ozone and PM10 concentrations in Northern Italy. The results show that, despite a large advantage in terms of computational costs, the selected source–receptor models are able to accurately reproduce the simulation of the 3D modelling system.

Francisco Pujol-lopez - One of the best experts on this subject based on the ideXlab platform.

  • Radon Gas as an Indicator for Air Quality Control in Buried Industrial Architecture: Rehabilitation of the Old Británica Warehouses in Alicante for a Tourist Site
    Sustainability, 2019
    Co-Authors: Carlos Rizo-maestre, Víctor Echarri-iribarren, Raúl Prado-govea, Francisco Pujol-lopez
    Abstract:

    The infrastructure of the Britanica warehouses in Alicante is a very important industrial architectural element in the history of Spain, although it is unknown to almost all of the inhabitants of the city. The former fuel refinery is located in the Serra Grossa Mountains and served much of the country until 1966. This research is based on the plans of the city of Alicante to convert a historical element, the Britanica warehouses, into a unique tourist site. Currently, the network of storage domes in this facility, which has an approximate footprint of 20,000 m2 and domes approximately 20 m high, is in a state of neglect, and there are neighborhood initiatives for its rehabilitation to become a cultural or tourist site. Therefore, it is necessary to take into account the Quality of the indoor Air. Radon gas is analyzed as a Control element for future refurbishment of the facility. Alicante is a nongranite area and therefore is not very susceptible to generation of radon gas indoors, but the conditions of a buried and poorly ventilated space make the site appropriate for analysis. Most scientific agencies in the field of medicine and health, including the World Health Organization, consider radon gas to be very harmful to humans. This element in its gaseous state is radioactive and is present in almost all the land in which the buildings are implanted, with granitic type soils presenting higher levels of radon gas. Nongranitic soils have traditionally been considered to have low radon levels. The city of Alicante, where the installation is located, is a nongranitic area and therefore is not very susceptible to generating radon gas in buildings, but the conditions of buried and poorly ventilated places make the site appropriate for analysis to support Air Quality Control and decision-making.