Movus launches wireless condition monitoring tool
28/06/2019
Movus, a developer and provider of the FitMachine Industrial Internet of Things (IIoT) solution, has launched an advanced and cost-effective certified condition monitoring technology in a bid to reduce maintenance costs.FitMachine EX has been built specifically for explosive environments in which monitoring and maintaining the equipment is extremely hazardous, so safety is critical to the engineering and maintenance processes.
These include upstream oil & gas, refineries, industrial chemicals, mining and food processing sites.
Movus designed FitMachine EX in partnership with oil & 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 an extensive certification process, which included 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.
Brad Parsons, Founder and CEO of Movus, claimed that, from its work with major industrial organisations, the company recognised the need for an intrinsically safe sensor.
“Safety is a core value at Movus and we are now excited to bring the FitMachine EX solution to market for the oil & gas and food processing industries,” said Brad.
“We understand that these are extremely sensitive environments where equipment downtime directly impacts the bottom line. By providing the most advanced artificial intelligence (AI)-powered condition monitoring solution at a cost-effective price, FitMachine EX delivers a very compelling solution,” he continued.
Movus has chosen ALS as its main go-to-market business partner for FitMachine EX, due to ALS’s asset reliability and condition monitoring expertise in the heavy asset industries.
Mushfiq Rahman, General Manager at ALS Group, said that ALS has been working with Movus for over a year and sees 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.
FitMachine is a condition-based maintenance solution that detects machine failures in advance using AI and machine learning. The solution comprises an industrial, intrinsically safe wireless sensor, mobile application, analytics and trending dashboards and an AI engine. The system continuously monitors equipment 24/7 and learns the normal operation of machinery in order to detect any abnormalities and alert the organisation before failures occur. The insights provided are extremely valuable in avoiding unplanned downtime.
