摘要
隨著人們對生活環境的要求與空氣汙染的惡化，居家型的空氣清新系統應用範圍越來越廣泛。空氣污染除了會對人體的健康造成傷害外，空氣清新也對人們的生活品質有莫大的影響。另外在空氣感測與清新功能上，雖然目前市場上已有許多具感測功能的空氣清新產品；然而大多為一體性設計，感測結果通常只能反應產品周圍的空氣品質。在空氣對流有限且不妨礙活動空間的情況下，這樣的設計並無法有效感測使用者活動空間的空氣品質並清新之。有鑒於此，本研究整合無線感測網路與多情境水氧功能，建立一新型居家空氣清新系統。本裝置提供多層的水氧功能設計，藉此實現多情境的定時反饋功能；例如在睡眠時維持空氣濕潤、早晨時散發薄荷精油水霧等。利用藍芽技術所整合的無線空氣感測裝置，可以讓使用者輕易掌握室內各處的空氣品質，並配置空氣清新系統的最佳位置。實驗結果顯示本系統可過濾99.9%以上的懸浮微粒，並在0.5公尺內達到最佳的清新空氣輸出率（CADR）。然而在無線感測網路的架構下，利用接收訊號強度指示（RSSI）所估算的感測器距離誤差略大，7公尺內的平均誤差約為1.4公尺。
關鍵詞：無線感測網路、多情境水氧功能、空氣清新系統、清新空氣輸出率、接收訊號強度指示Abstract
Due to the increased demand for living environment and the deterioration of air pollution, the household air purification system is becoming more and more widely used. In addition to the harm to the health of the human body, air pollution also has a great impact on the quality of life. In addition, there are many air cleaning products with sensing functions in the current market; however, most of these products are designed in one-piece type, and the sensing results usually only reflect the air quality around the device. In the case where the air convection is limited and does not interfere the activity space, such a design does not effectively sense and purify the air in the user’s activity space. In view of this, this study integrates wireless sensing network and multi-scenario atomization functions to construct a new household air freshening system. This device is equipped with a multi-layer water atomization design. It is hoped to achieve multi-scenario timing feedback, for example, maintaining air humidity during sleep, and spraying peppermint oil mist in the morning. As for the wireless air sensing device integrated with Bluetooth technology, the user can easily understand the air quality throughout the room and configure the optimal position of the air purification system accordingly. The experimental results indicate that the system can filter more than 99.9% of suspended particles and achieve the best Clean Air Delivery Rate (CADR) within 0.5meters. However, in the detection state of the wireless sensing network, the error of the sensor distance estimated by the Received Signal Strength Indicator (RSSI) is slightly larger, and the average error within 7 meters is about 1.4 meters.
Keywords: Wireless Sensing Network, Multi-scenario Atomization Functions, Air Freshening System, Clean Air Delivery Rate (CADR), Received Signal Strength Indicator (RSSI)