Sniffer4D Nano2 TDLAS Methane Detection
The Soarability Sniffer4D Nano2 multi-path TDLAS hyper-local methane detection and mapping system seamlessly integrates with the DJI Matrice 3D/3TD drones for the DJI Dock 2. enabling users to operate in-demand automated and remote methane detection.
Methane Sensor This sensor features a high-resolution sensor with a 1 ppm detection resolution using multi-path TDLAf technology. It produces powerful spatiotemporal data analysis and visualisation and supports multi-end operation and data viewing.
Oil and Gas Applications Its small size (200g) and methane detection capabilities make it ideal for inspections and monitoring in oil and gas industries, landfills, and Hazardous-Mat scenarios.
DJI Dock 2 Compatibility Integrates seamlessly with DJI Dock 2 and FlightHub2 for automated and remote detection capabilities.
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Sniffer4D Nano2 TDLAS
Cross-Platform Compatibility
Sniffer4D Ecosystem: This sensor supports a multi-software ecosystem, ensuring streamlined and efficient data processing and management on Soarability Spatiotemporal Insights, DJI FlightHub 2, other third-party platforms, and private deployment is supported.
DJI FlightHub 2: Sniffer4D Nano2 offers seamless integration with DJI FlightHub 2, enabling Sniffer4D real-time reading display and device control through a PSDK connection.
Soarability Spatiotemporal Insights: The spatiotemporal big data platform supports importing historical data, enabling smart spatiotemporal data analysis and visualisation. Obtain insights from massive amounts of data, enhancing efficiency for better decision-making.
Sniffer4D Mapper: Sniffer4D Mapper visualises and analyses data from Sniffer4D in real-time and provides intuitive information (2D/3D pollution distribution, PDF mission reports) for decision-makers to improve work efficiency and reduce costs.
Sniffer4D Nano2 TDLAS
Data for Actionable Insights
Soarability's Software Ecosystem: Obtain real-time and historical data for actionable insights.
Concentration Distribution Mapping: Visualises data using 2D grid, 2D isoline, and 3D point cloud maps.
Real-Time Monitoring: Provides a real-time concentration map for identifying hotspots and assessing their impact.
Historical Data Analysis: Allows analysis of daily, weekly, monthly, and annual data for user-defined locations of interest.
Data Applications: Use the data you collect to evaluate locations of interest, analyse daily/weekly/monthly/annual data, study pollutant trends, and much more.
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