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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.