Many organization lack both visibility and predictability into their assets health and performance. PMQi enables organizations to address this problem head-on by providing an integrated approach to optimization of physical assets, operations, and processes.
PMQi developed in conjunction with ADLINK, PrismTech and IBM and leverages the best of class Industrial Internet of Things (IIoT) edge computing, connectivity and predictive analytics technologies. This powerful integrated hardware and software solution uses IBM’s Predictive Maintenance and Quality (PMQ) analytics platform, ADLINK’s Intel-based IoT gateway and ruggedized server hardware and PrismTech’s real-time data sharing platform to provide real-time device-edge-cloud connectivity.
PMQi can process multiple data sources in real time to predict asset failure or quality issues, helping organizations avoid costly downtime by developing the optimal maintenance strategy. Driven by predictive analytics running on edge compute nodes and or in a data center (on premise or in the cloud), the solution can be used to detect even minor anomalies and failure patterns to determine the assets and operational processes at greatest risk of problems or failure. This early identification of potential concerns helps companies deploy limited resources more cost effectively, maximize equipment uptime, and enhance quality and supply chain processes.