Description

Sniffer4D Nano2 Detection & Mapping System, is a state-of-art UAV-based environmental mobile monitoring solution that can be seamlessly integrated with DJI Matrice 3D/3TD and Dock 2. The compact design ensures zero interference with M3D/M3TD’s obstacle avoidance functionality. With excellent magnetic compatibility, the system guarantees long-term operational safety and stability. In addition to multi-gas monitoring, Nano2 also boasts up to 1ppm high-resolution methane measurement using contact-based Multi-path TDLAS detection method.

Features

• Within the Max. Payload Limit of DJI M3D/3TD
• Ultra Lightweight <200g
• Compact Body <110*70°70 (mm)
• Connect to DJI M3D/M3TD’s E-port for Power
• DJI Flight Hub 2 Supported Data Display and Device Control
• Built-in 4G/3G/EDGE/GPRS
• Swarm Supported Multi-end Operation and Data Viewing
• Powerful Spatiotemporal Data Analysis & Visualization

Typical Application

• Greenhouse Gases
• Ambient Air Monitoring
• Oil & Gases / Pipelines
• Landfill Inspection
• HAZMAT Response
• Scientific Research

Available Parameters

TVOC | SO2 | CO | NO2 | Os | PML.0 | PM2.5 | PM10 | CxHy/CH4/LEL | H2S | HCI | TSP/PM100 | NH3 | CO2 | HCN | H2 | PH3| Cl2 | O2| NO | HCHO | Odor (OU)

Enhanced Cross-Platform Compatibility

Ensuring streamlined and efficient data processingand management on Soarability Spatiotemporal Insights, DJI Flight Hub 2 and
other third-party platforms.

Soarability Spatiotemporal Insights

The spatiotemporal big data analytical platform, Soarability Spatiotemporal Insights, boosts up advanced spatiotemporal data analysisand intelligent visualization, adeptly transforming real-time and historical spatiotemporal big data into actionable insights.

Visualized Concentration Distribution Mapping

Users can adjust the size of the visualized data points in the software, and three types of visualization (2D grid/2D isoline/3D point cloud map) enhance the comprehensive understanding of target gas distribution patterns within a specified region

Real-time Concentration Map

Drone-based detection allows users to identify hotspots and assess their impact on surrounding areas using real-time wind data.

Real-time Data Analysis

Offer a comprehensive view of real-time data from all active devices, with features that enable device ranking, concentration histogram plotting, and targeted device searches for efficient monitoring and analysis

Historical Cloud Map – Single/Double

Manage up to a billion data points to highlight high-concentration areas and trends. Utilize Dual Mode to contrast concentration maps displaying different periods or parameters for more in-depth insights, such as assessing the effectiveness of control policies, and finding correlations between pollutants.

Historical Concentration Map – Time-lapse Animation

Generate dynamic time-lapse animations depicting concentration trends within a chosen time period, providing an intuitive visualization of environmental changes over time

Historical Concentration Map – Multi-source Data Analysis

Harness the power of diverse Gdata sources, integrating ground measurement data from Ground-based CitySense hardware, UAV-mounted Sniffer4D measurement data, and Street View imagery. This comprehensive approach facilitates robust and thorough environmental analysis.

User-defined Locations of Interest – Points, Lines, and Areas

Soarability Spatiotemporal Insights supports defining points, lines, and areas of interest, analyzing daily/weekly/monthly/quarterly/annual data for a better understanding of concentration changes in various areas.

Report Generation – Export Editable Analysis Report with One Click

Through generating comprehensive analytical reports and highly informative animations, Soarability Spatiotemporal Insights provides a brand-new way of studying pollutant trends, and contributes to efficiency &quality improvement in the report work.

More Features

Support target setting& navigation / Display real-time UAV camera view / Support screen recording during missions / Load orthophoto (GeoTiff, WGS84) into the software / Load geo-tagged real-life photos / Cloud-based auto data forwarding/ Auto software update and more

DJI Flight Hub 2

Sniffer4D Nano2 now offers seamless integration with DJI Flight Hub 2, enabling Sniffer4D real time reading display and device control through PSDK Connection.

Soarability Spatiotemporal Insights

The Spatiotemporal big data platform supports importing historical data (.s4d and .csv format) enabling smart spatiotemporal data analysis & visualization . This empowers the responders to rapidly obtain insights from massive amount of data , thereby enhancing efficiency for better desicion making

SnifferdD Mapper

.Sniffer4D Mapper visualizes and analyses data from Sniffer4D in real-time. provides intuitive information (e.g 2D/3D pollution distribution, PDF mission reports) for decision makers to improve work efficiency and reduce cost