Smart Streetlights Embedded with Weather & Environmental Sensors

In the wave of smart city construction, smart lamp poles are gradually becoming an important part of urban multi-functional information collection terminals. The Weather & Environmental Sensors mounted on them can monitor air quality.

They can accurately detect particulate matter such as PM2.5 and PM10 in the air, as well as the concentrations of harmful gases like sulfur dioxide, nitrogen dioxide and carbon monoxide. Taking PM2.5 as an example, these tiny particulate matters can penetrate deep into human lungs and pose a serious threat to health. The sensors monitor air quality in real time and can quickly send out alarms once the pollutant concentrations exceed the standards. Meanwhile, the monitoring data can also be used to calculate the Air Quality Index (AQI), which intuitively reflects the air quality status and provides crucial basis for urban environmental assessment and management. These data can also be presented to the public so that they can understand the air quality of their surroundings.

In terms of meteorological monitoring, the Weather & Environmental Sensors can accurately measure temperature, humidity, wind speed and wind direction. Temperature data is of vital importance for urban weather forecasting and energy management. Especially during the hot summer period, it provides a reference for heatstroke prevention and cooling measures. Humidity information is significant for human comfort and industrial production. Abnormal humidity can prompt relevant departments to take adjustment measures. Wind speed and wind direction data are crucial for urban wind energy utilization planning, architectural design and fire emergency response, helping to formulate scientific strategies to ensure the safe and efficient operation of the city.

Noise monitoring is also one of the important functions of the environmental sensors on smart lamp poles. The Weather & Environmental Sensors can measure the intensity of environmental noise and quantify the noise generated by traffic, industrial production, etc. in decibels. Once the noise exceeds the specified standards, for example, if it exceeds 70 dB during the day or 55 dB at night in residential areas, the sensors can notify relevant departments to take noise reduction measures such as speed limits and optimizing traffic flow. By analyzing the noise frequency, the impact of noise pollution can be evaluated more accurately.