TS MWDS10 Smart City Air & Noise Quality Monitoring Professional Dust Noise Sensor Construction Site

$810.00

+ Free Shipping

Integrated structure, a single device simultaneously collects parameters such as temperature, humidity, air pressure, wind speed, wind direction, rainfall, radiation, PM2.5/10, noise, etc., reducing the cost of deploying multiple devices; adapting to extreme climate scenarios

Product description

TS MWDS10 integrated dust monitoring sensor is a miniature instrument mainly used in smart cities, smart lamp poles, and smart construction sites to monitor meteorological and environmental factors. The meteorological factors that can be monitored include temperature, humidity, wind speed, wind direction, air pressure, rainfall, Radiation, etc., and the environmental factors include PM2.5, PM10, noise, etc.The equipment system is modular in design, and users can flexibly configure it according to their needs. It can integrate solar power supply system, LED display screen and GPRS wireless transmission module, etc.

Class: Weather Sensors, Air Quality Sensor, Gas Sensor
Use: Meteorological monitoring
Installation type: Pole mounting
Description: Integrated weather sensors
Model: TS MWDS10
Series: TS MWDS series
Features: Ultrasonic, maintenance-free, RS485 output
Origin:Beijing, China
Principle: ultrasonic
Precision: 0.1
Reaction time: 1s

Operating temperature: -40-60 ℃
Humidity range: 0-100% Rh
Size:Length: 120mm, Width: 120mm, Height: 277mm
Weight: Approx. 0.7 kg
Output interfaceL: RS485,RS232,SDI12,4-20mA,0-5V可选
Power supply: 9-30VDC (optional solar and 220v power supply)
Power consumption: < 0.4 watts
length: Default 3.5m (extensible)
Applicable to: The diameter of the pole is 10-30mm
agreement: It also supports ASCII protocol and Modbus RTU protocol

Technical Parameters

Parameter

Measuring range

Resolution

Accuracy

Measuring

principle

Air Temperature

-40℃~+60℃

0.1℃              

±0.2℃

Platinum resistance

Air Humidity

0%~100%Rh                        

0.1%Rh

±2%Rh

Capacitance

Air pressure                          

10~1300hPa

0.1hPa 

±0.3hPa

Silicon piezoresistive

 wind direction

0~360°

±3°

Ultrasonic

Wind speed                           

0~40m/s

0.1m/s

±0.3m/s  or 3%

Ultrasonic

Rainfall

0~24mm/min

0.1mm/0.01mm

±5%

Optical/Radar

Radiation

0~2000w/㎡

0.1w/㎡

≤ 5%

Silicon Photodetector

Noise

30-130dB

A weighting (simulating human ears)

±1.5dB

Capacitive

PM2.5/10

0~1000μg/m3

0.3μg/m3

±10μg/m3 or15% 

Laser scattering

Reliability

Mean time between failures (MTBF), design value 85000h 

Operating voltage

9V~30VDC

Data Protocol

Support ASCII code and Modbus protocol

Operating temperature

 -40℃~+80℃

Output

RS485, RS232, SDI12, 4-20mA, 0-5V optional

Operating humidity

0~100%Rh

Size

120mm*120mm*272mm

Weight

0.7kg

Model

PM2.5/10

Noise

Temperature

Humidity

Air pressure

Wind speed 

and direction

Rainfall  

Radiation

UV

MWDS02

        

MWDS05

     

MWDS08

  ✔

 ✔

   

MWDS09

 ✔

  

MWDS10

 

MWDS11

Jinan Yellow River Avenue Holographic Intelligent Monitoring Station

Jinan’s new and old kinetic energy conversion starting area deployed 963 smart lamp poles on the Yellow River Avenue,Integrates dust PM2.5, PM10, temperature and humidity, wind speed and direction, and noise monitoring modules, and connects data to the city management platform.Light poles use AI analysis to identify dust sources in real time and work with law enforcement agencies to deal with excessive emissions at construction sites.The project adopts the “on-demand lighting” strategy, saving an average of 80,000 kWh of electricity per month, with an energy saving rate of over 30%. The light poles also support the reservation of vehicle-road collaborative infrastructure, provide environmental data support for unmanned driving, and form a 16.2-kilometer holographic perception network。

Smart City Environmental Quality Monitoring

The Shijiazhuang Meteorological Bureau of Hebei Province uses the MWTS02 ultrasonic wind speed and direction meteorological sensor and the dust PM2.5 and PM10 monitoring system, combined with the atmospheric diffusion model, to generate a pollution source diffusion path prediction.Through the early warning strategy of “one day in advance, one level higher”, the number of days with good air quality will increase by 15% year-on-year in 2025.

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