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.
Highlights
“sensing-calculation-communication-action” ability, which was used to verify the feasibility of applying multi-agent theory to air quality control systems
The experiment found that when only a few pieces of building equipment and a small number of air quality factors are considered, rules can be written in advance to resolve equipment conflicts
When there are many types of building equipment and air quality factors, if users intervene in the system’s decision-making, the system will not deal with all possible statuses
Summary
Taiwan’s economy has grown rapidly over the past few decades, but this has greatly increased wealth, it has caused environmental pollution. It can be seen that there are large amounts of particulate matter in western and southern Taiwan, and the Yunlin Sixth Naphtha Cracker and Taichung Thermal Power Plant may be major sources of this pollution [3] While it was widely believed in the past that intelligent buildings were energy-intensive and required large amounts of active equipment, in intelligent building that truly pursues sustainability must employ on “actively thinking” equipment to remedy the inefficiencies of passive buildings, achieve effective energy conservation, and maintain a comfortable living environment.
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