Interview with David Bromilow

David, let’s start with a basic question. How do theme parks generally handle ride data these days?
David Bromilow (DB): That’s a good place to start, because many parks are already sitting on a veritable goldmine of data. They just aren’t making full use of it. Every ride cycle generates valuable information, but the real question is how this data is retrieved, managed and utilised. In many cases, the process isn’t as effective, accurate or efficient as it could be. And ultimately, that has an impact on safety and performance.

So the data is already there and just needs to be utilised?
DB: Exactly. The opportunity lies in capturing what’s already there, understanding it and making it usable. When you integrate this data into a more comprehensive maintenance strategy, it becomes a powerful tool.

To what extent does this relate to the transition from preventive to predictive maintenance?
DB: Traditional maintenance relied heavily on preventive approaches such as scheduled inspections, routine replacements and time-based interventions. These methods have served the industry well, but they are not perfect. They can lead to unnecessary part replacements or, conversely, to unexpected failures and downtime.

Predictive maintenance adds a more intelligent layer. By analysing performance data in real time, teams can predict problems before they occur. This enables planned interventions within operational windows and reduces reliance on the old ‘better safe than sorry’ mindset. It also reinforces existing inspection programmes rather than replacing them.

What insights can teams gain from an AI-powered monitoring system such as RideGuard?
DB: With today’s sensor technology, teams can continuously monitor critical parameters: things like acceleration, vibration, temperature, pressure and speed. The key benefit is the ability to detect subtle changes in performance that indicate wear, material fatigue or a potential failure. And all of this can be done remotely, without the need to be physically present at the plant.

That sounds like a significant operational change. How will this affect day-to-day maintenance?
DB: Until now, once an attraction had been handed over to operations following the morning checks, the maintenance teams had only limited insight unless a problem arose. This is a reactive model that often puts the teams on the back foot.

With smart sensor systems such as RideGuard, which are integrated into the Mobaro maintenance platform, you stay up to date throughout the entire operating day. Sensors act as the maintenance team’s ‘eyes and ears’, providing live updates, automated alerts and even generating work orders. This continuous feedback loop transforms maintenance into a proactive process.

Safety is always the top priority in this industry. How does predictive maintenance support this?
DB: Safety is absolutely central. Predictive maintenance is not just about efficiency, but about protecting people. By sparing technicians the need to enter restricted or hazardous areas for manual readings, you significantly reduce the risk.

Instead of interacting directly with large, unprotected machinery whilst it is in operation, teams can access accurate data remotely. An experienced technician told me that entering a ride cabin whilst it is in operation, simply to take readings, is increasingly a thing of the past. And that is a positive development for everyone involved.

What does ‘working smarter and safer’ look like in practice?
DB: It’s about combining real-time data, intelligent analytics and integrated workflows. This enables you to predict failures before they occur, optimise maintenance schedules, reduce downtime and make better operational decisions overall. At the same time, you improve the safety of both your team and your guests.

Finally: What message would you give to operators who have not yet opted for predictive maintenance?
DB: The data is already available to you. The real question is whether you are making full use of its potential. Predictive maintenance represents a fundamental shift from reactive ‘firefighting’ to proactive optimisation. Parks that adopt this approach will not only increase their efficiency but also improve their safety standards and overall operational excellence.