Enterprise Drone Workflow

Enterprises in many industries are using commercial drones to solve complex problems. But simply flying a drone over an asset won’t do any good for an enterprise’s bottom line without the proper systems in-place. In order to take full advantage of drones and the data they generate, enterprises must integrate the data service into a business unit with a holistic approach. Information products are used to conduct analyses of customer properties and enterprise assets, like monitoring change over time, comparing existing conditions to project plans, etc. From the field to the office, AirWrx's aerial data analytics service is an enterprise-ready workflow:

1. Business System Integration:

The first step enterprises must take when hiring a UAS crew is to determine their data needs. The data collected by a drone is most useful when it exists in a vacuum. The UAV data must plugs directly into an existing IT systems. These IT systems are able to make the manager aware of routine inspections or new work orders, which can automatically trigger a request if integrated directly into existing business systems.

3. Approvals and Compliance:

Like any enterprise technology, the work needs to fit into external and internal compliance requirements. External compliance for a UAV projects is required to fly a drone. Therefore, flights must abide by Transport Canada or FAA no-fly zones, which should be automatically verified and available to both the client and UAS crew. Internal compliance, like ensuring that the data-flow abides by security and privacy rules, should exist in the project delivery system as well. .

4. Operator Management:

Enterprises typically contract drone operations because of the pilots experience and expertise. This makes it easier for a enterprise to allocate jobs without the hassle of certification, image acquisition, post-processing, etc. However, some enterprises may want to invest in building their own UAV program in-house. This offer the flexibility to fly sites on-demand.

5. Autonomous Data Collection:

This is the fun part: when the drone goes airborne! But first, it's important to note that not all drones are created equal. There are many drone configurations available depending on the application and the size of the survey. There is also a large variety of sensors, which offer different layers of data. So it's important to ensure the right data is collected for the job. Flight automation ensures job repeatability, allowing companies to use data for time-series analysis and change detection. Once the flight is complete, the data collected can either be automatically uploaded to the cloud, or manually uploaded by the operator if cellular connectivity is not available.

6. Data Processing:

The imagery collected by a drone can then be processed to create a variety of information products including orthomosaics, 3D models, and digital surface models (DSM). Processing can be automated either in the cloud or on a PC, depending on the software being utilized

7. Analysis and Reporting:

This is the most important component. Information products are used to conduct analyses of customer properties and enterprise assets, like monitoring change over time, comparing existing conditions to project plans, and verifying safety and compliance on job sites. But those data products cannot remain in a silo. This information must be easily sharable, and integrated into reports, analysis software, and databases. At AirWrx, we have a ready-to-go software solution that instantly plugs-in to your work-flow.

Aerial data is only as valuable as the business decisions that come from it. When enterprises take the approach to working with us and our end-to-end solution, they can make drone technology an extension of their business that drives the bottom line. To learn more, please contact AirWrx. contact@airwrx.com +1-226-344-5614

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