Tianqiong 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
Model:FT-XS3
Brand:tianqiong
1.Introduction to Automated Snow Monitoring
Automated Snow Monitoring monitors snow conditions in real time and seamlessly uploads real-time snow depth data to the cloud platform via RS485 communication technology.Our XS3 Automated Snow Monitoring uses laser recognition and measurement technology to overcome the disadvantages of ultrasonic waves, electromagnetic waves, weight and other types of sensors that cannot recognize snow, thereby achieving extremely high detection accuracy.By monitoring the distance at the location, the thickness of the snow is obtained and the snowfall per unit time is analyzed.This device can be an independent automatic snow depth monitoring alarm system, or it can be networked to form a diversified network monitoring.
Application scope: Widely used in many fields such as meteorological stations, port terminal safety monitoring, road traffic safety monitoring, aviation monitoring, building safety monitoring, agricultural production monitoring, hydrology and water conservancy.
Measurement principle: The snow depth sensor uses the principle of a phase laser rangefinder to measure the depth of snow.The phase is the frequency of the radio band, which uses the amplitude modulation of the laser beam and determines the phase delay generated by the modulated light to travel to the measurement line once, and then converts the distance represented by this phase delay according to the wavelength of the modulated light.That is, the time required for light to pass through the round-trip measurement line is determined by indirect method, thereby solving the depth of snow.
2.Automated Snow Monitoring product features
1.Low-power collector: static power consumption is less than 1mA
2.Standard GPRS networking, support extended Bluetooth and wired transmission
3.Android 7-inch touch screen, version: 4.4.2, Quad-core Cortex™-A7, 512M/4G
4.Support modbus485 sensor expansion
5.Solar charging management MPPT automatic power point tracking
6.Three-meter carbon steel bracket, two sections connected
7.SMS alarm, send SMS to the specified mobile phone after exceeding the limit
8.Stainless steel protective box, corrosion-resistant and oxidation-resistant, waterproof grade IP66
3.Automated Snow Monitoring system composition
Laser snow depth sensor, host, pole bracket, solar power supply system, cloud platform
4.Automated Snow Monitoring technical parameters
1.Collector power supply interface: GX-12-4P, input voltage 8-16V, with RS485 output json data format
2.Sensor modbus, 485 interface: GX-12-4P plug, output power supply voltage 12V/1A, device configuration interface: GX-12-4P plug, input voltage 5V
3.Solar power supply and equipped with lead-acid battery, optional 30W 20AH/50W 40AH/100W 100AH.Charging controller: 150W, MPPT automatic power point tracking, efficiency is increased by 20%.
4.Data upload interval: 30s-65535s adjustable
5.7-inch Android touch screen, screen size: 1024*600 RGB LCD (optional)
6.Technical parameters of some sensors
name | Measurement range | Resolution | Accuracy |
Laser snow depth | 0.05~5m | 1mm | ±1.0mm |
Ambient temperature | -40~+80℃ | 0.01℃ | ±0.3℃ (25℃) |
Relative humidity | 0~100%RH | 0.01%RH | ±3%RH (20%~80%) |
Light intensity | 0-157286LUX | 1Lux | <±3% |
Atmospheric pressure | 300-1100hpa | 0.1hPa | ±0.25% |
Dew point temperature | 0~+70℃ | 0.1℃ | ±1℃ |
Soil temperature | -30~+70℃ | 0.01℃ | ±0.3 (-10~70℃) |
Soil moisture | 0~100% | 0.1% | ±3% |
Soil Salt | 0~20000us/cm | 1us/cm | ±3 (0~10000us/cm) ±5% (full range) |
Soil PH | 0-14PH | 0.01 | ±0.1PH |
wind direction | 0-360 degrees | 0.1 degree | ±1 degree |
Wind speed | 0-60m/s | 0.01m/s | ±0.2m/s |
Average wind speed☆ | 0-60m/s | 0.01m/s | ±0.2m/s |
rainfall | ≦4mm/min | 0.2mm | ≤±2% |
Ultraviolet radiation | 0~500W/㎡ | 0.01W/㎡ | ≤±3% |
Sunshine hours | 0~6500h | 0.1h | <0.2h |
Total photoelectric radiation | 0-2000W/m2 | 1W/m2 | <±3% |
Photosynthetic effective radiation | 0-2000W/m2 | 1W/m2 | ≤±5% |
PM2.5 | 0-1000ug/m³ | 1ug/m³ | ±10% (<500 micrograms) |
PM10 | 0-1000ug/m³ | 1ug/m³ | ±10% (<500 micrograms) |
Carbon monoxide | 0-1000ppm | 1PPM | ±2PPM |
Sulfur dioxide | 0-20PPM | 0.1PPM | ±1PPM |
Nitrogen dioxide | 0-20PPM | 0.1PPM | ±1PPM |
ozone | 0-20PPM | 0.1PPM | ±1PPM |
Negative oxygen ions | 0~100,000 units/cm3 | 1/cm3 | Reading ±10%; ion mobility ≤±20% |
Oxygen content | 0~25%Vol | 0.1% | ±3%FS |
carbon dioxide | 400-5000ppm | 1PPM | ±(50ppm+5% reading value) |
Evaporation | 0-190mm | 0.01mm | ±1% |
7.The manufacturer has a computer software registration certificate
8.The manufacturer is a 3A credit enterprise
9.Manufacturers have ISO quality management system, environmental management system and occupational health management system certification
5.Introduction to Automated Snow Monitoring cloud platform
1.CS architecture software platform, supports direct observation of mobile phones and PC browsers without additional software installation.
2.Support multiple accounts and multiple devices to log in
3.Support real-time data display and historical data display dashboard
4.Cloud server and cloud data storage are stable and reliable, easy to scale, and load balancing.
5.Support SMS alarm and threshold settings
6.Support map display and viewing device information.
7.Support data curve analysis
8.Support data export table form
9.Supports data forwarding, HJ-212 protocol, TCP forwarding, http protocol, etc.
10.Support data post-processing function
11.Support external running of javascript scripts
The crop growth condition is an important term in the agricultural field, referring to the growth and development status of crops at various stages from sowing to maturity. It includes comprehensive information such as plant morphology, population structure, and physiological indicators, and is cruc...
When traditional mechanical weather stations monitor wind speed and direction, they encounter a difficult problem. The wind speed sensor usually consists of wind cups and an axis, and the wind direction sensor relies on mechanical components such as a wind vane. When these mechanical components are...
The construction of smart wetlands takes wetland monitoring equipment as the core, and combines Internet of Things (IoT), big data, and artificial intelligence technologies to build a three-dimensional monitoring network covering hydrology, meteorology, and ecology.The wetland weather stations...
In the field of wind power generation, wind measurement is of great significance. Traditional wind - measuring methods, such as wind towers or radars, are effective but have limitations. Wind towers can only measure at fixed locations, while radar equipment is expensive and bulky, making it difficul...