Phononic Partners with Google Cloud Manufacturing Solution
May 5, 2022
Phononic is excited to announce our partnership with Google Cloud’s two new manufacturing data solutions: Manufacturing Data Engine and Manufacturing Connect. As an early adopter of Google Cloud’s new data analytics solution, Phononic will continue to push the boundaries of innovation, enhancing data transparency and optimizing production with new manufacturing-specific solutions. Through our partnership with Google Cloud, Phononic will achieve the analytics and insights needed to fully optimize our operations.
Google Cloud announced today the launch of Manufacturing Data Engine and Manufacturing Connect, two new solutions that enable manufacturers to connect historically siloed assets, process and standardize data, and improve visibility from the factory floor to the cloud. Once data is harmonized, the solutions enable three critical AI- and analytics-based use cases–manufacturing analytics & insights, predictive maintenance, and machine-level anomaly detection.
From the Article:
“As the global innovator of solid state cooling and heating technology, we’ve developed a sustainable manufacturing platform that uses less water, less electricity, and less chemical waste,” says Jason Ruppert, Chief Operations Officer, Phononic. “This partnership with Google Cloud allows us to contextualize data across all of our manufacturing processes – ultimately providing us the analytics and insights to optimize our operations and continue to bring to the world products that cool sustainably, reducing greenhouse gas (GhG) emissions and improving the environment.”
Manufacturing Data Engine and Manufacturing Connect, available today, help manufacturers unify their data and empower their workforce with easy-to-use analytics and AI solutions based on cloud infrastructure:
- Manufacturing Data Engine is an end-to-end solution that processes, contextualizes, and stores factory data on Google Cloud’s market-leading data platform. It provides a configurable and customizable blueprint for the ingestion, transformation, storage, and access to factory data. It integrates key Google Cloud products, including Cloud Dataflow, PubSub, BigQuery, Cloud Storage, Looker, Vertex AI, Apigee, and more, into a manufacturing-specific solution.
- Manufacturing Connect is a factory edge platform co-developed with Litmus Automation that quickly connects to, and streams data from, nearly any manufacturing asset and industrial system to Google Cloud, based on an extensive library of more than 250 machine protocols. Deep integration with the Manufacturing Data Engine unlocks rapid data intake into Google Cloud for processing machine and sensor data. The ability to deploy containerized applications and ML models to the edge enables new dimensions of use cases.
Once data is centralized and harmonized by the Manufacturing Data Engine and Manufacturing Connect, it can then be used to address a growing set of industry-specific use cases, including:
- Manufacturing analytics & insights, which helps manufacturers quickly create custom dashboards to visualize key data—from factory KPIs such as Overall Equipment Effectiveness (OEE), to individual machine sensor data. Integrated with the Manufacturing Data Engine, engineers and plant managers can automatically set up new machines and factories, enabling standardized dashboards, KPIs, and on-demand drill-downs into the data to uncover new insights opportunities throughout the factory. These can then be shared easily across the enterprise and with partners.
- Predictive maintenance, which enables manufacturers to anticipate an asset’s need for service, helping reduce downtime and maintenance cost. Manufacturers can leverage ML models and high-accuracy AI optimizations that are deployable in weeks.
- Machine-level anomaly detection, which helps manufacturers identify anomalies as they occur and provides alerts—leveraging Google Cloud’s Time Series Insights API—on real-time machine and sensor data such as noise, vibration, or temperature.