RemSense Technologies Ltd (ASX:REM) has reached a new development milestone after integrating its virtualplant asset visualisation system with partner IBM’s Maximo Application Suite (MAS).
The technology company says the two-way integration allows users to access RemSense’s industry-leading digital twin solution alongside IBM’s asset management system.
Ultimately, this makes simultaneous asset management more efficient — users can rapidly comprehend assets from the MAS portal within RemSense’s visually accurate virtual environment.
Additionally, users can monitor MAS plant asset data directly within virtualplant’s photorealistic environment.
This provides valuable background and insight as companies supervise their assets remotely, helping them engage in predictive maintenance when it counts.
Where to from here?
It won’t be long until industry gets to see the integration in action. RemSense and IBM (NYSE:IBM) plan to make their debut at the upcoming WA Mining Conference and Exhibition in Perth.
The maiden demonstration will take place at IBM’s booth (#8132) this week on October 12 and 13.
The companies are also working with several prospective adopters in Australia’s mining capital.
‘One click’ access
RemSense managing director and CEO Steve Brown said the IBM integration allowed users from either side to get the best of both worlds.
“The benefits of this integration will enable virtualplant and MAS users to fully benefit from the visualisation of assets through a ‘one click’ access for companies and contractors, from anywhere at any time,” he explained.
“We are also delighted to be working with IBM to launch our joint corrosion inspection and reporting function based on virtualplant’s high-resolution curated dataset and IBM’s extensive experience in visual analytics.”
IBM ANZ’s business unit executive for sustainability software, David Small, said the company was really excited about the integration’s evolution.
“The visualisation of assets will provide immense value to our clients and creates a unique experience to navigate and analyse data in a human-centric environment,” he said.