Industrial processes, such as thermal power generation and petrochemical production, involve emission of harmful gaseous chemicals and a growing number of companies are taking corporate environmental responsibility to take initiatives in monitoring, controlling and preventing pollutant emission. To enable timely and effective detection of gaseous pollutants in the industrial processes, we have developed a high-sensitive gas sensing and control system. It combining advanced laser spectroscopy technology (TDLAS and photoacoustic) and AI algorithm. The system provides the type, concentration, temperature and pressure of multiple gas components such as CO, NO , NH , SO  in a complex environment in real time. It also gives feedback to the control terminal through wireless transmission.

Our system provides:

• Simultaneous detection of multiple target gases generated by thermal power plants, industrial boilers and oil companies

• Ultra-high sensitivity required in industrial processes (sub-ppb)

• Real-time online sensing (response time < 3 s)

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許多工業如熱力發電行業和石化行業，均會在工業過程中產生多種不同的有害氣體污染物，愈來愈多企業主動承擔社會環境責任，採取積極措施監測污染物信息，進而控制污染物排放。為了向工業過程提供及時有效的污染氣體信息，我們研發了一套高靈敏度氣體傳感和控制系統。該系統利用最新激光光譜技術，結合人工智能算法，提供CO, NO , NH  , SO 等多種主要氣體的類型、濃度、溫度、壓力等實時信息，並通過無線傳輸技術反饋到控制端。

我們的發明提供：

•熱電廠、工業鍋爐和石油公司產生的多種目標氣體同時檢測

•合乎工業過程需要的超高靈敏度 (sub-ppb)

•實時在線檢測 (響應時間 < 3 s)