Drone Fleet Management Best Practices

Drone Fleet Management

Fleet management is key to an organization’s success, and when done well, it can boost a company’s profitability. The advancement of technologies has helped introduce many new and improved methods for better fleet efficiency, but many organizations have yet to move past outdated management techniques. Paper, spreadsheets, and other manual methods are unproductive and result in disorganization that can adversely affect operations. 

Drone fleet efficiency can be maximized by devising a strategy that focuses on visibility and collaboration. Leveraging software allows fleet managers to maximize productivity and make the most out of the data they have. Here are some methods to improve fleet management across an entire operation. 

 

Make the Best of What Technology Has to Offer 

The implementation of technology has improved processes and connections across industries and the world at large, and the drone industry is certainly not exempt. Many drones now come with collision-detection sensors, which lower risk by reducing the skills required to avoid a crash and guard against human error. Another new sensor detects and avoids nearby airplanes and helicopters. By leveraging technology for fleet management, the entire team behind the operation can stay connected in real-time. This helps make the most informed decision at every moment during a flight operation. 

It’s also not realistic to expect humans to track an entire drone fleet’s performance and maintenance records. Instead, fleet management software can apply artificial intelligence (AI) and blockchain to generate service logs, predict maintenance needs and automate fleet distribution, enabling drone operators and managers to intelligently assess, diagnose and optimize vehicle performance across their entire fleet. 

 

Develop a Comprehensive General Operating Manual 

It’s no surprise that a general operating manual also decreases risk. By ensuring that every team and pilot follows the standard operating procedures for every flight, you decrease the variables that lead to human error and establish a strong bedrock of accountability. 

A general operating manual should contain checklists and procedures concerning pilot training, equipment handling, maintenance, setup of the flight area, flight planning, regulatory information, data management, and anything else pertinent to your drone operations. 

 

Keep Detailed and Centralized Records 

Managing fleet data across different systems can be tricky. Fleet management software relieves the fleet managers and their team from this burden by integrating fleet solutions and providing an organized view of the fleet data. 

Centralized fleet data is much more useful as the time that would otherwise be spent sorting through the data and trying to make sense of it is reduced. A comprehensive view of data offered by fleet management software allows the team to analyze the data better and derive key insights from it faster. 

In this new environment, we also need a way to analyze drone flight records with assurances the data hasn’t been altered or maliciously tampered with. Blockchain technology can ensure flight logs are stored securely and accurately. Each flight log is linked to the previous log with cryptography, so they can’t be altered retroactively. This data can be offboarded from the aircraft rapidly and can’t be overwritten, enabling authorities to determine a sequence of events with 100% certainty. 

 

Manage Your Drone Fleet Remotely 

One of the biggest factors contributing to the success and efficiency of fleet management is constant communication between team members. A well-designed drone fleet management system connects the office and field. Each team member is constantly up to date with the condition of the flight and with one another. By streamlining communication and drone operations through software, you can stay connected to your team and manage your entire fleet remotely. 

 

Automate Maintenance Workflows 

When it comes to monitoring your vehicle health, predictive AI technology can remove the burden on operators by analyzing sensor data across your fleet and flagging suboptimal operations. An AI-based approach can more accurately monitor performance to forecast vehicle health and identify impending failures before they occur.  

If a potential issue is identified, such a degrading battery, AI technology can automatically generate a maintenance request and assign the request to a technician upon landing at a facility. Blockchain technology, augmented with smart contracts, can also be used to ensure the maintenance request is resolved and signed off by a technician’s private key before the drone can operate again. 

Organizations need to implement the latest technologies into their fleet management process to see the best results in terms of efficiency, as well as increased profits. Our platform optimizes fleet activity and performance by predicting maintenance needs and automating fleet distribution to facilities. Using AI algorithms, we analyze drone sensor data and activity history to provide real-time visibility into vehicle health, flag suboptimal performance, identify impending failures and automate fleet distribution. Our system also uses blockchain to audit operational data and safeguard unsafe vehicles from performing missions until maintenance issues have been resolved. 

 

SkyGrid has focused on various technologies such as AI to create optimized fleet management systems. Visit Skygrid to learn more.