Mann+Hummel partners with Sierra Wireless
19/03/2019
Sierra Wireless, a provider of fully integrated device-to-cloud solutions for the Internet of Things (IoT), has announced that Mann+Hummel, a leading global expert for filtration solutions, has selected the Smart SIMs and AirVantage® IoT Platform from Sierra Wireless to connect and manage global deployments of Senzit, the company’s new predictive maintenance platform developed to increase uptime for industrial and agricultural fleets.The build-up of dust in the air filter of a vehicle’s engine can cause massive damage and lead to expensive repairs or replacements. With the cost of an engine replacement often exceeding CA$100,000 (approximately £58,075) for industrial and agricultural vehicles, monitoring air filters and engine health is critical to operations.
Mann+Hummel’s Senzit solution uses IoT connectivity services from Sierra Wireless to ensure that fleet managers have full visibility into the dust load, engine hours and equipment location of their fleet. With Senzit’s real-time monitoring capabilities, fleet managers can schedule maintenance only when vehicles require it, avoid unnecessary downtime due to engine damage and accurately track the operating hours and location of a vehicle, all through a mobile app and web portal.
To connect and manage its solution, Mann+Hummel chose the Smart SIMs and AirVantage IoT Platform from Sierra Wireless. The global coverage and remote operator provisioning capabilities of the Smart SIMs allow Mann+Hummel to quickly and easily deploy its predictive maintenance platform worldwide, without changing the device’s SIM card. With intelligent network
selection and resilience to outages, Smart SIMs ensure that Senzit stays online and fleet operators stay connected. To manage all subscriptions and connectivity through a single pane of glass, the SIMs are integrated with the AirVantage IoT Platform. The platform’s management interface with customisable alerts enables Mann+Hummel’s customers to increase uptime and reduce waste with real-time machine data.
