Multi-Agent Based Indoor Air Quality Control System

• Main Authors: CHEN, CHENG-YEN, 陳正晏
• Other Authors: CHEN, SHANG-YUAN
• Format: Others
• Language: zh-TW
• Published: 2018
• Online Access: http://ndltd.ncl.edu.tw/handle/qu3txb

碩士 === 逢甲大學 === 建築碩士學位學程 === 106 === In recent years, Taiwan has been suffering from haze. To control the concentration of suspended particulates has become an important issue. This study designed an indoor air quality control system based on the cloud to control the indoor air quality and reach the goal of healthy and comfortable environment. This study use the intelligent agent theory to collect the local indoor air quality data through the local sensor, and outdoor air quality data through the Environmental Protection Agency provided cloud data. The agent initiates an air quality improvement facility to improve the quality of the indoor air after making a decision with the pre-written rule. This study involves intelligent agents, indoor air quality and cloud services. Based on the study of how to design intelligent agent rules, the collection of air quality data, and the control of construction equipment and the use of cloud services, this study uses the open mechanical and electrical system Arduino to collect air quality information, and LabVIEW program to compose the system and user interface. Finally, this study set up a simulation system to do the real verification. The experiment found that this system can work well with a single agent, but may conflict with control in the case of multiple agents. Therefore, a conflict resolution solution is needed to smoothly implement the action to meet the needs of users. The design of this system is also expandable. In the future, various sensors can be added to judge and control more air quality so as to make people's living environment more healthy and comfortable .