UAVs show their skills in atmospheric environment monitoring

As China's air pollution situation has become more and more serious in recent years, especially the proportion of smog (particulate matter PM2.5, PM10, etc.) in pollutants is getting heavier and heavy, so the task of air pollution detection and treatment in China is also More and more heavy. The state has also deployed or improved particulate matter and gas detection equipment in most cities, forming a ground pollution source detection network with a dense distribution of national control points.

However, we can also clear that there is still a big gap between the predictions made based on the ground control data of the national control points and the actual environmental pollution situation. In addition, the management methods implemented according to the ground monitoring data, such as ground sprinkling, construction Site coverage, traffic restrictions, industrial production limits, boiler renovation, desulfurization and denitrification treatment, etc., the results are not satisfactory.

As the third-generation remote sensing technology after aerial and aerospace remote sensing, the UAV remote sensing technology has the advantages of stereo monitoring, fast response, wide monitoring range and small topographic interference. It is the future identification and concentration monitoring of atmospheric emergencies. One of the important development directions.

However, due to the limited load of the drone. High-precision sensor loads are required to perform high-precision atmospheric environmental monitoring. Traditional sensors tend to have fewer options in terms of size and weight. therefore. Shenzhen Yunchuan IOT Technology Co., Ltd. researches and develops a small size suitable for drones. Light sensor load to achieve air pollution monitoring of drones and fixed pollutants for drones.

Second, the UAV gas detection load characteristics

● The software can support multiple drone manufacturers including all series in DJI.

● Thousands of gas sensors can be replaced at any time, and the system has automatic identification.

●The shell is waterproof, windproof, dustproof and anti-collision design

● Display monitoring data in real time and generate corresponding trend curves.

● View historical real-time data, and generate curve analysis graphs at the same time. List and chart styles display historical data for easy comparison.

● Simultaneous display of latitude and longitude, altitude, aircraft status, temperature, humidity, PM1, PM2.5, PM10, real-time concentration values ​​of thousands of gases.

● Detection accuracy can reach ppb level.

● Real-time wireless transmission of data to the ground, can also be transmitted to the server in real time via GPRS.

Third, the UAV gas detection load parameters

●Applicable: multi-rotor drone, fixed wing

● Detection gas: PM2.5, PM10, NO2, SO2, CO, O3, VOC, etc.

●Electrochemistry, laser

● Weight: 1000 grams (7 parameters)

● Size: 220 × 145 × 60mm

●Power supply: 12-24V

● Data transmission method: GPRS / digital transmission

●Working environment temperature: (-30~+60) °C

●Working environment humidity: (15 ~ 95)% RH No condensation

● Equipment life: gas device life 2 years

Fourth, the unmanned gas detection load size chart

V. UAV gas software interface and data analysis

The ground receiving system software Green Ear is specially designed for the above-mentioned monitoring and detection data receiving, decoding, display, processing, reporting and uploading to the cloud. It is combined with the general flight control software Mission Planner to obtain flight path planning. Based on the flight attitude data of the aircraft, the real-time concentration value of our gas detection equipment is added for data analysis and fusion, and the multi-detector synchronous data return and processing functions are supported.

The data analysis platform, the main functions should include real-time data display, historical data query, regional GPS latitude and longitude, time and other information synchronously transmitted back to the ground receiving system.

(1) Real-time data display

The platform can display various monitoring data in real time. The air quality gas sensor data and the toxic gas emergency monitoring data are transferred to a unified platform for unified management and comprehensive display. Gas sensor data represents different levels of contamination in different colors.

(2) Historical data query

Simple statistical analysis of historical monitoring data at various points, such as daily variation analysis and time series analysis, helps the purchaser to save manual analysis time cost, and also helps the purchaser to understand the basic pollution situation.

Sixth, UAV gas detection system

1 system structure and working principle

This system mainly includes unmanned aerial vehicles, NE sensor gas detection, data transmission / GPRS, ground station / server, data processing software and so on. The main role is to detect atmospheric air quality AQI and emergency detection of toxic and harmful gases, the accuracy can reach 1PPB. Changing the detection of traditional fixed points makes gas detection flexible, fast, accurate and convenient.

2 Software implementation of gas concentration data acquisition

Gas detection has thousands of gas types, ranges, and precision. In order to simplify the operation and cost of the user. We have designed a 7NE series sensor. With a complete software information system, we can effectively divide all the types of gases that can be detected to realize all intelligent identification systems. Customers can match different sensors according to different test scenarios; making drone gas detection very flexible and unaffected by loads. The data acquisition is mainly as shown in the figure below.

3 transmission protocol

According to the communication method of 7NE series gas sensor, analog voltage, analog current, TTL, RS485 can be used. Our company adopts RS485 and TTL two communication modes.

Serial port baud rate 9600, parity bit is absent, 8 data bits, 1 stop bit; value is Hex

Seven, the application market

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