印染厂废气主要是由布料染制等工艺过程中染化剂挥发产生的废气，以及印染有机溶剂回收过程产生的废气。大多数印染厂废气是对人体有害的，其主要的有毒物质是烟尘颗粒物，如元明粉，碱汞、砷、铅等元素，这些元素大部分具有挥发性，呼吸时会摄入一部分进入呼吸系统，对人体健康造成很大的伤害。由于印染药剂的易挥发性，即便很多工人在操作时已经佩戴了口罩和工作服，但是也会通过衣物缝隙进入我们人体，如果不小心碰触到皮肤的话，会削弱人体对微生物病原体的抵抗能力，削弱人体抵抗能力。
世驰科技提供的整体解决方案是采用非接触式差分吸收光谱法（DOAS），使用一条光路贯穿整个管道。光束通过光纤传输到分析仪，而这个分析仪又同时监测几个路径。满足同时监测全部排口，多种因子，包括了酸性气体、碱性气体和VOCs气体。该方案采用了先进的光谱法（UV/IR）监测酸碱气体和气相色谱法（GC-FID）监测VOCs气体。如下图：
Background of the Proposal
The exhaust gas from printing and dyeing factories primarily originates from the volatilization of dyeing agents during the dyeing and other process steps of fabrics, as well as from the recovery process of organic solvents used in printing and dyeing. Most of the exhaust gas from printing and dyeing factories is harmful to human health. The main toxic substances are smoke particles, such as sodium sulfate, and elements like alkali mercury, arsenic, and lead. Most of these elements are volatile, and a portion of them can be inhaled into the respiratory system during breathing, causing significant harm to human health. Due to the high volatility of printing and dyeing agents, even if many workers wear masks and work clothes during operations, these agents can still enter the human body through gaps in clothing. If they accidentally come into contact with the skin, they can weaken the body's resistance to microbial pathogens and reduce overall immunity.
The comprehensive solution offered by Shichi Technology employs non-contact Differential Optical Absorption Spectroscopy (DOAS) with a single optical path running through the entire pipeline. The light beam is transmitted to the analyzer via optical fibers, which simultaneously monitors multiple paths. It meets the requirement of simultaneous monitoring of all outlets and various factors, including acidic gases, alkaline gases, and Volatile Organic Compounds (VOCs). This solution utilizes advanced spectroscopy (UV/IR) for monitoring acidic and alkaline gases, and Gas Chromatography with Flame Ionization Detector (GC-FID) for monitoring VOCs gases. As shown in the figure below:
