Asystom and Progesys have announced an international partnership whereby Progesys will implement Asystom’s predictive maintenance technology across the mining, metal and oil and gas sectors in Canada and Brazil.
Progesys offers project management consultancy and transition-to-operations services to a vast international market. Its origins stem from the aluminium industry and now delve into energy, hydrocarbons, mining, infrastructure, transportation and more.
“Progesys effectively blend their management capabilities with field technical know-how to lead their clients’ operations to success,” the company said.
The Asystom solution monitors and analyses any rotating machine and helps to predict anomalies, wirelessly and non-intrusively, with a simple installation. Sensors communicate through a LoRa (Long Range network, and data is encrypted end-to-end. Asystom’s sensors monitor not only heat and vibration, but ultrasound too, meaning customers have the earliest possible alert of drift (before any damage has occurred). They run on standard batteries (so no need for additional wiring) for up to 10 years without intervention.
“An additional advantage of Long Range is that, due to its low frequency wireless transmission, the sensors can be positioned up to 1 km away from the LoRA gateway,” the company said. “Data is processed at the Edge on the sensors, and then the information is transferred and stored in the cloud through an encrypted secure network and then accessible through web applications.”
Andre Naccache, Managing Director at Asystom, said: “This a very positive next step in Asystom’s successful continued global expansion. Partnering with Progesys will enable us together to allow clients’ projects to achieve their fullest potential.”
Rami Faour, VP Business Development at Progesys, said: “Customers are looking for flexible solutions to meet the changing needs of their organisations. The Asystom solution allows industry customers to increase their production by up to 25%; this is due to the solution’s capabilities of predicting equipment failure and transmitting all data in real-time to any location of the client’s choosing. The information and alerts are then presented on a comprehensive dashboard, making it easy for our clients to see their data.”