MissionOS includes a variety of expandable features that can be enabled on demand
MissionOS includes a variety of expandable features that can be enabled on demand
MissionOS comes with a number of add on features that can be provided on request. These include:
The Real-Time Pre-Processor, powered by MISSIONCONTROL, enables secure, uninterrupted machine-to-cloud connectivity for MissionOS. It ensures your machine data is visible in real time while safeguarding it from external threats. With continuous monitoring, our maintenance team tracks communications, verifies smooth data flow, and provides instant alerts in case of interruptions. This reliable integration gives your team confidence, control, and efficiency when working with real-time machine data on MissionOS.
The MISSIONEDGE processor is built to handle high-frequency data (0.005Hz–1000Hz) for structural health and other stressed systems, enabling real-time preprocessing with less than 3 seconds latency. It streams logger data to live screens and a historian, generates time-series summaries with statistics for MissionOS GDL, and triggers site alarms when needed. Fully configurable within MissionOS, it also supports FFT analysis for velocity bins and links seamlessly with parameters like wind speed.
Ensures each machine is properly connected so its logged data feeds map seamlessly to MIMIC screens and the other parts of MissionOS where machine data integrates with additional data sources for complete visibility and analysis.
Real-time MIMIC Screens are available as part of our turnkey machine systems, with the option to customize bespoke screens tailored to your specific requirements.
CCTV Integration allows any camera—from simple IP feeds to third-party systems—to connect directly to MissionOS without extra logins. Video streams can also be recorded and stored on the web for a defined period (e.g., the last 48 hours), eliminating the need for separate recording hardware.
Satellite InSAR data streams can be integrated into MissionOS and updated periodically. As these are large datasets, reading and update frequencies are carefully managed to ensure efficient performance.
High-frequency terrestrial radar data can be loaded directly into MissionOS and processed using raster methods. Preprocessing extracts key numeric results, which are then imported into the MissionOS Generic Data Loader for analysis, reporting, and integration with other datasets.
LIDAR and other point cloud data can be uploaded periodically to MissionOS. To handle large datasets efficiently, MissionOS downsamples the original clouds for web viewing and calculations, compares them against other point clouds and design shapes, and reports the results directly into a pre-prepared data model. Reading and update frequencies are carefully managed to ensure optimal performance.
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