Asset health centre to improve predictive maintenance coverage


Dingo Software, a provider of predictive maintenance solutions to asset-intensive industries, has opened up its new Asset Health Centre in Denver, Colorado.

The modern purpose-designed facility will provide operations with asset health coverage 24 hours a day, seven days a week, Dingo claims.

“From a sophisticated control room, Dingo analysts will monitor equipment condition, using a proprietary predictive analytics platform enriched with decades of maintenance expertise, to identify impending issues and then prescribe the corrective maintenance action for immediate resolution,” a company representative said.

“This actionable intelligence will dramatically improve decision-making and could be the difference between an inexpensive repair and a catastrophic breakdown costing millions in parts and productivity losses.”

Currently managing over $12 billion (approximately £9.3 billion) worth of heavy equipment across six continents, the new centre, combined with its facility in Brisbane, Australia, will provide operations with a convenient and cost-effective way to monitor and maintain equipment, according to the company.

Paul Higgins, Dingo CEO, said that the Denver team will be able to serve customers remotely using its award-winning cloud-based predictive maintenance software, Trakka®, and team of Condition Intelligence™ experts. “Right now, around 250 different operations globally are capitalising on Dingo’s remote asset health services,” he stated.

Safety is another major benefit that Dingo will deliver to these operations, according to Higgins. “When people work on a site they are exposed to inherent dangers, so being offsite and working from a remote centre is advantageous,” he said. “Well-maintained equipment is always safer. This is an issue that Dingo and its customers take very seriously.”

Other benefits include access to subject matter expertise: “Dingo’s team of analysts has deep domain expertise in a range of fields,” said Higgins. “We have people with fixed plant, mobile and underground experience and experts who understand trucks, shovels and drills, as well as a range of condition monitoring technologies.”

It would be an extremely expensive endeavour for a customer to find and hire an equivalent team of experts, according to Dingo.

“We can deliver the right expertise at the right time to help with the right issue,” continued Higgins.
Dingo also provides clients with access to its proprietary equipment health database. “We have one of the largest databases of asset health information in the world,” said Higgins. “Even when a customer has its own in-house team, they may only have access to the data they have generated. With over 25 years’ worth of asset performance data, we know what good looks like and when equipment is underperforming we know how to fix it.”

He added: “We have developed the unified platform specifically to enable access across multiple mining operations. An example is the senior management asset performance dashboard, which provides a comprehensive view of fleet health to ensure mines are operating at peak performance.”

Ultimately, the Asset Health Centre does not function as a complete outsourcing option, according to Dingo. “Some customers take more of the workload on themselves; others do not have the resources and want to move quickly so they bring us in,” said Higgins. “We do not replace the customer’s team; we help them. We filter the noise and streamline decision-making, so they can focus on other, more pressing, issues.”

Dingo is expanding the use of practical machine learning models in its Trakka predictive maintenance software with two new releases during 2019.