Brisbane-based MOVUS, the developer and provider of the FitMachine Industrial Internet of Things (IIoT) solution, has launched the most advanced and cost-effective, intrinsically safe certified continuous condition monitoring technology in a bid to reduce maintenance costs.
FitMachine EX has been built specifically for explosive environments where monitoring and maintaining the equipment is extremely hazardous, so safety is critical to engineering and maintenance processes. These include upstream oil and gas, refineries, industrial chemicals, mining and food processing sites.
MOVUS designed FitMachine EX in partnership with major oil and gas companies following its win of the KPMG Energise 2.0 Accelerator Program sponsored by Woodside, Chevron, BHP, WesFarmers Chemicals and South32.
MOVUS also undertook extensive certification process, including internal systems and processes, manufacturing auditing processes and material management control to ensure compliance with ISO/IEC 80079-34:2018, the quality system for manufacturing devices for Explosive Atmospheres.
“From our work with major industrial organisations, we recognised the need for an intrinsically safe sensor. Safety is a core value at MOVUS, and we are excited to bring the FitMachine EX solution to market for the oil & gas, petroleum, and food processing industries,” said Brad Parsons, founder and chief executive officer of MOVUS.
“We understand that these are extremely sensitive environments where equipment downtime directly impacts the bottom line. By providing the most advanced artificial intelligence-powered condition monitoring solution at a cost-effective price, FitMachine EX is a very compelling solution.”
MOVUS has chosen ALS Global as its go-to-market business partner for FitMachine EX, due to ALS’s leadership in the asset reliability and condition monitoring expertise in the heavy asset industries.
“We have been working with MOVUS for more than twelve months and see great value in the FitMachine EX. Our clients have been asking for an intrinsically safe wireless sensor, and we are very pleased with this advanced technology, rigorous testing and certification, and the rapid development speed,” said Mushfiq Rahman, ALS Group general manager.
FitMachine is a condition-based maintenance solution that detects machine failures in advance using artificial intelligence and machine learning.
The solution comprises an industrial intrinsically safe wireless sensor, mobile application, analytics and trending dashboards, and an artificial intelligence engine.
The system continuously monitors equipment and learns what the normal operation of machinery is to detect any abnormalities and alert the organisation before failures occur. The insights provided are extremely valuable in avoiding unplanned downtime.