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Forest fire surface sensor

Image Name

Product Parameters

Core Parameters

Content

Temperature

Measurement Range

-30°C ~ 85°C

Measurement Accuracy

±0.5°C

Resolution

0.2°C

Humidity

Measurement Range

0% ~ 100% RH

Measurement Accuracy

±3% RH

Resolution

0.3% RH

Atmospheric Pressure

Measurement Range

300hPa-1100hPa

Measurement Accuracy

±1 hPa

Resolution

0.1 hPa

Carbon Dioxide (CO2)

Measurement Range

400~2000 ppm

Measurement Accuracy

±50 ppm

Resolution

1 ppm

GPS/Beidou

Positioning Accuracy

≤5m

Wireless Parameters

Communication Protocol

LoRa Ad-hoc Network

Operating Frequency Band

470~510MHz

Receiving Sensitivity

-137dBm

Physical Characteristics

 

Power Supply Method

Lithium Battery

Operating Temperature

-30°C ~ 85°C

Protection Class

IP65

Dimensions

60*80mm

Deployment Method

UAV Dispersal

 

Product Features

In the critical field of forest fire prevention, ground fire monitoring sensors play a crucial role, serving as the front line of defense for forest safety. This sensor integrates multiple advanced functions, providing strong support for timely detection and prevention of forest fires.

 

1. Multi-parameter precise sensing, comprehensive environmental insight: It can accurately collect environmental temperature and humidity, atmospheric pressure, concentrations of various gases (such as carbon monoxide, methane, and other gases closely related to fire), and its own location information. Through real-time monitoring and analysis of this data, it can comprehensively grasp the forest environmental status and detect abnormal conditions that may trigger fires in advance.

2. Wireless ad-hoc networking, worry-free communication during "three disconnections": Support for wireless LoRa ad-hoc networking technology is a major highlight. In extreme "three disconnections" situations such as circuit breaks, network outages, and power failures, traditional communication equipment often becomes paralyzed. However, this sensor can achieve data relay transmission between nodes through ad-hoc networking, ensuring smooth communication with the monitoring center. This allows monitoring data to be reliably and stably transmitted in a timely manner even in complex and harsh forest environments, gaining valuable time for fire prevention and control.

3. Integrated advanced algorithms, intelligent fire hazard warning: The sensor integrates advanced fire warning algorithms, utilizing artificial intelligence and big data analysis technologies to deeply mine and analyze the collected data. It can accurately determine the fire hazard level based on the trend of various parameters and promptly issue warning signals. Compared with traditional monitoring methods, it greatly improves the accuracy and timeliness of warnings, effectively reducing the risk of fire.

4. Low-power design, long-lasting stable operation: Adopting a low-power design concept to minimize energy consumption. Whether in sunny daytime or long nights, it can continuously operate relying on an efficient and energy-saving power management system. This not only reduces reliance on external power sources and lowers maintenance costs but also ensures the sensor's stable operation under long-term unattended conditions, continuously safeguarding forest safety.

5. UAV aerial deployment, fast and flexible positioning: Support for UAV aerial deployment significantly enhances deployment efficiency and flexibility. In vast forest areas, traditional manual deployment is time-consuming and labor-intensive, but with the help of UAVs, sensors can be quickly and accurately deployed to designated locations, rapidly building up a monitoring network. This efficient deployment method can cover large forest areas in a short time, gaining an advantage for forest fire prevention.

 

  • Supports LoRa ad-hoc network communication
  • Supports environmental data collection such as temperature, humidity, combustible gases, and atmospheric pressure
  • Supports GPS/BD location information collection
  • Supports temperature threshold alarm, fire risk level early warning
  • Supports audible and visual alarm indication
  • Built-in large-capacity battery, supports long endurance
  • Supports UAV/manual deployment and installation