Tianyi Sensor IOT Technology Co., Ltd
Sales Manager:Ms. Emily Wang
Cel,Whatsapp,Wechat:+86 15898932201
Email:info@fengtutec.com
Add:No. 155 Optoelectronic Industry Accelerator, Gaoxin District, Weifang, Shandong, China
Sales Manager:Ms. Emily Wang
Cel,Whatsapp,Wechat:+86 15898932201
Email:info@fengtutec.com
Add:No. 155 Optoelectronic Industry Accelerator, Gaoxin District, Weifang, Shandong, China
time:2025-09-18 09:12:26 source:Weather Station viewed:11 time
In the efforts to tackle air pollution, the precise identification of pollution sources is a core prerequisite for formulating effective response measures. Traditional manual analysis is time-consuming and susceptible to interference from various external factors, leading to deviations in pollution source tracing results, which makes it difficult to meet the practical needs of timely pollution control. The emergence of grid-based air pollution monitoring equipment has precisely addressed this challenge.
Air quality monitoring stations adhere to the deployment principle of "full-area coverage and refined division". They rationally install monitoring terminals in different areas such as urban blocks, industrial parks, and traffic arteries, establishing a high-density monitoring network to achieve comprehensive monitoring of the atmospheric environment. These devices can simultaneously monitor a variety of pollutants; in addition to focusing on sulfur dioxide, they can also accurately capture concentration changes of pollutant components such as particulate matter, nitrogen oxides, and volatile organic compounds.
The causes of air pollution are complex, and the irrational use of coal energy is one of the major pollution sources. A large amount of coal is used in industrial production and daily life, while the proportion used for power generation is extremely low. Sulfur dioxide produced by coal combustion is precisely a key pollutant affecting air quality. With the real-time data collection and transmission functions of air quality monitoring stations, staff can intuitively grasp the concentration fluctuations of sulfur dioxide in different regions. By combining data changes over time, they can quickly determine the pollution diffusion path and peak emission periods.
Relying on such monitoring capabilities and data support, relevant personnel can quickly locate coal-fired pollution areas and formulate targeted sulfur dioxide emission control plans based on monitoring data. Administrative departments carry out pollution control in a timely manner based on the accurate information provided by the equipment, controlling pollutant emissions at the source and effectively improving the efficiency of air quality assurance. This model, which combines precise monitoring with targeted governance, has significantly enhanced the scientificity and effectiveness of air pollution control.
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