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Dust pollution detector to monitor PM2.5
Article source:Weather station time:2024-01-24 17:19:36 viewed:32times
As a key link in air pollution control, dust pollution has a significant impact on the air quality of construction sites, industrial enterprise plant boundaries, urban functional areas and social living areas. In order to achieve effective control, real-time online monitoring has become an indispensable monitoring tool. This type of monitoring can capture the concentration of airborne particulate matter in a timely manner and provide real-time data to the regulatory authorities, so that dust pollution can be controlled in a timely manner and its negative impact on air quality can be minimised. Through this type of monitoring, we can better deal with the dust pollution problem, promote the continuous improvement of air quality, and create a healthier and more livable environment for the public.
In the current market, dust monitors mainly use two methods: the beta-ray method and the light scattering method. Among them, dust detectors by light scattering method are widely used due to their low cost, fast response, and wide range of measurement. In addition, the test data of this type of detector can be directly transmitted to the monitoring background through wireless communication, which greatly saves the cost and improves the efficiency of industrial enterprises and environmental protection departments in monitoring. The application of this technology not only helps to improve the accuracy and real-time monitoring of dust pollution, but also helps to promote the smooth implementation of environmental protection.
The dust monitoring terminal is not only limited to the monitoring of particulate matter such as PM2.5, PM10, TSP, etc., but also has the expanded function of integrating a variety of devices such as meteorological monitoring, noise monitoring, video surveillance, LED screen and alarm lights. This integrated monitoring system enables real-time automatic monitoring of environmental factors such as noise, ambient temperature, ambient humidity, wind speed, wind direction, etc., thus building a comprehensive integrated monitoring system for disorganised emissions.
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