**First, the Background**
In recent years, China's air pollution problem has become increasingly severe, with smog—mainly composed of particulate matter such as PM2.5 and PM10—playing a growing role in the overall pollution levels. As a result, the task of detecting and managing air pollution has become more urgent than ever. To address this, the government has deployed or upgraded particulate matter and gas detection equipment across most cities, establishing a dense ground-based monitoring network with national control points.
However, it is clear that there remains a significant gap between the predictions based on data from these ground stations and the actual environmental conditions. Moreover, management strategies like water sprinkling, covering construction sites, traffic restrictions, industrial production limits, boiler upgrades, and desulfurization and denitrification treatments have not yielded satisfactory results.
As a third-generation remote sensing technology following aerial and spaceborne remote sensing, UAV (Unmanned Aerial Vehicle) remote sensing offers advantages such as three-dimensional monitoring, rapid response, wide coverage, and minimal topographic interference. It is becoming one of the key directions for future atmospheric emergency identification and concentration monitoring.
Despite its potential, drones face limitations in payload capacity, especially when it comes to high-precision sensors required for accurate atmospheric monitoring. Traditional sensors often lack flexibility in size and weight. In response, Shenzhen Yunchuan IoT Technology Co., Ltd. has developed a compact, lightweight sensor load suitable for drones, enabling efficient air pollution monitoring and fixed-pollutant detection.
![The latest environmental monitoring black technology "unmanned aerial detector"]
**Second, UAV Gas Detection Load Characteristics**
- Supports multiple drone manufacturers, including all DJI series
- Thousands of gas sensors can be replaced at any time, with automatic identification
- Waterproof, windproof, dustproof, and anti-collision design
- Real-time display of monitoring data and generation of trend curves
- View historical real-time data and generate analysis graphs
- Simultaneously display latitude, longitude, altitude, aircraft status, temperature, humidity, PM1, PM2.5, PM10, and real-time gas concentrations
- Detection accuracy can reach ppb level
- Real-time wireless transmission of data to the ground or via GPRS to a server
**Third, UAV Gas Detection Load Parameters**
- Applicable to multi-rotor and fixed-wing drones
- Detects gases such as PM2.5, PM10, NO2, SO2, CO, O3, VOC, etc.
- Uses electrochemical and laser technologies
- Weight: 1000 grams (for 7 parameters)
- Size: 220 × 145 × 60 mm
- Power supply: 12–24V
- Data transmission: GPRS / digital transmission
- Operating temperature: (-30~+60)°C
- Operating humidity: (15~95)% RH (no condensation)
- Equipment lifespan: 2 years for gas devices
**Fourth, UAV Gas Detection Load Size Chart**
![UAV Gas Detection Load Size Chart]
**Fifth, UAV Gas Software Interface and Data Analysis**
The ground receiving system software, Green Ear, is specifically designed for receiving, decoding, displaying, processing, reporting, and uploading monitoring data. It integrates with Mission Planner flight control software to plan flight paths. Based on aircraft attitude data, real-time gas concentration values are added for data analysis and fusion, supporting synchronized data return and processing from multiple detectors.
The data analysis platform includes real-time data display, historical data query, and synchronization of GPS coordinates, time, and other information back to the ground system.
- **Real-time data display**: Various monitoring data is displayed in real time, with gas sensor data shown in different colors to indicate contamination levels.
- **Historical data query**: Simple statistical analysis of past data helps users save manual effort and understand pollution trends.
**Sixth, UAV Gas Detection System**
![UAV Gas Detection System]
**1. System Structure and Working Principle**
The system consists of an unmanned aerial vehicle, NE sensor gas detection, data transmission/GPRS, ground station/server, and data processing software. It detects atmospheric air quality (AQI) and toxic gas emergencies, achieving accuracy up to 1 ppb. This makes gas detection flexible, fast, accurate, and convenient compared to traditional fixed-point methods.
**2. Software Implementation of Gas Concentration Data Acquisition**
With thousands of gas types and ranges, we have designed the 7NE series sensor to simplify user operations and reduce costs. The complete software system enables intelligent identification, allowing customers to choose different sensors based on scenarios. Drone gas detection becomes flexible and load-independent.
![Gas Detection Data Acquisition]
**3. Transmission Protocol**
The 7NE series gas sensor supports analog voltage, analog current, TTL, and RS485 communication. We use RS485 and TTL modes.
- Serial port baud rate: 9600
- No parity bit, 8 data bits, 1 stop bit
- Value format: Hex
| Register Address | Register Contents |
|------------------|-------------------|
| 40001 | PM2.5 |
| 40002 | Circuit board #1 jack gas real-time value |
| 40003 | Circuit board #2 jack gas real-time value |
| 40004 | Circuit board #3 jack gas real-time value |
| 40005 | Circuit board #4 jack gas real-time value |
| 40006 | Circuit board #5 jack gas real-time value |
| 40007 | Circuit board #6 jack gas real-time value |
| 40008 | PM10 |
| 40009~40010 | Reserved |
| 40001 | Motherboard address register |
| 40002~40030 | Reserved |
| 40031~40036 | #1~#6 gas module full scale (40002~40007) |
**Seven, the Application Market**
![Application Market]
This UAV gas detection system is widely used in environmental monitoring, industrial safety, disaster prevention, and urban planning. It provides real-time data for policymakers, helping them make informed decisions and improve air quality management. With its advanced features and flexibility, it is set to play a crucial role in the future of environmental protection.
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