In the current environmental governance system, odor (foul smell) pollution has become a key problem restricting the improvement of the human settlements environment and the green development of industries due to its complex components and wide impact range. Whether it is process waste gas from chemical enterprise production, flue gas from waste incineration plants, volatile odors from food processing workshops, or composite odors generated during municipal sewage treatment, there are often dozens or even hundreds of characteristic pollutants behind them. In addition to common hydrogen sulfide and ammonia, they also include components with low concentrations but high odor thresholds such as methyl mercaptan, dimethyl disulfide, and benzene series. The mixed effect of these components not only intensifies the stimulation of odors on human senses, causing problems such as respiratory discomfort and emotional irritability, but also the long-term accumulation of some toxic and harmful components may cause irreversible damage to the human liver and nervous system. However, traditional odor monitoring methods mostly focus on the detection of the overall odor concentration, making it difficult to accurately identify the specific pollutant components behind the odor and the proportion of each component.
The odor component analysis and monitoring station is based on the combination of spectral absorption method and PLS algorithm, and can simultaneously monitor a variety of odor gases in the air, including methyl mercaptan, methyl sulfide, dimethyl disulfide, styrene, carbon disulfide, hydrogen sulfide, ammonia, trimethylamine and other odor factors. It uses an artificial neural network algorithm to provide accurate odor concentration, and can integrate high-sensitivity gas sensors according to user needs to expand the monitoring of other components, such as five meteorological parameters, sulfur dioxide, carbon monoxide, TVOC and other parameters.
Monitoring parameters: methyl mercaptan, methyl sulfide, dimethyl disulfide, styrene, carbon disulfide, hydrogen sulfide, ammonia, trimethylamine, OU, VOC
Monitoring principles: spectral absorption method, empirical formula inversion method, PID photoionization
System composition: control panel, float flowmeter, spectrometer, sampling pump, drying tube, heating plate, solenoid valve, light source, fixing frame, meteorological sensor
Data transmission: Modbus-RTU, National Standard 212, local standard protocols
Transmission methods: 4G, RS45, RS485
Power supply mode: AC220V; Overall power consumption: 120W
Monitoring mode: 24-hour monitoring
Data frequency: 1 minute
Functions: rapid detection, component analysis, automatic sample retention, cross-interference resistance, automatic zero calibration, remote diagnosis
Keyword：
