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:2025-09-30 09:06:55 source:Weather Station viewed:379 time
With the rapid advancement of urbanization, construction sites, road works, and material storage yards are scattered across various corners of cities. During construction and operation, these sites inevitably generate environmental pollutants: dust and noise.
A dust detector is an intelligent device capable of monitoring the concentration of particulate matter (such as PM2.5, PM10, and TSP) and noise levels in the environment in real time, continuously, and automatically. It can also transmit data to a monitoring center via wireless networks. These devices are installed in locations requiring environmental monitoring, such as construction sites, urban roads, industrial parks, and ports.
The dust monitoring module primarily employs the laser scattering method. A laser beam inside the instrument irradiates particulate matter in the air, causing the laser to scatter. By measuring the intensity of the scattered light and processing it through algorithms, the number and mass concentration of particulate matter per unit volume can be derived, yielding parameters such as PM2.5 and PM10.
The core of the noise monitoring module is a high-precision microphone (sensor) that captures sound wave vibrations in the air and converts them into electrical signals. The internal circuitry of the instrument processes and analyzes these electrical signals, calculating noise indicators such as the equivalent continuous sound level (Leq) in accordance with international standards (e.g., A-weighted sound level).
To more comprehensively analyze the diffusion conditions of pollutants, many devices are also equipped with integrated meteorological sensors to monitor wind speed, wind direction, temperature, humidity, atmospheric pressure, and other factors.
For monitoring points without access to grid electricity, solar panels and batteries are provided to achieve energy self-sufficiency.
Built-in 4G/5G or NB-IoT communication modules package the data and automatically upload it to cloud platforms or government regulatory platforms at set intervals (e.g., every 1 minute or 5 minutes).

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...
To meet the needs of air pollution prevention and control, environmental protection authorities require more refined and efficient air quality supervision. However, traditional national standard monitoring stations, despite providing high data accuracy, face limitations such as high construction cos...
Online Automatic Ammonia Nitrogen Monitor is a specialized instrument designed for determining ammonia nitrogen concentrations using the salicylate spectrophotometric method; it can also be customized to utilize the Nessler method. Employing a brand-new photoelectric quantitative technology, t...
Agriculture, as the foundation of human survival, is intricately linked to the weather. Weather conditions profoundly influence every aspect of agricultural production. During the sowing stage, seed germination requires suitable accumulated temperature, typically above 10°C. If the temp...