Tag: predictive maintenance

Introduction Impacting Food Waste & Food-borne Illness with AWS IoT Core for LoRaWAN Cold-Chain Sensors Innovative ideas and technologies allow us to improve the efficiency and safety of the food industry. In that sense, ConnectedFresh’s IoT solutions provide the ability to continuously monitor food temperatures throughout production, processing, transportation, and retailing. This blog will highlight […]

Introduction In working with customers, we often hear of a desired Digital Twin use case to drive actionable insights through what-if scenario analysis. These use cases typically include operations efficiency management, fleet management, failure predictions, and maintenance planning, to name a few. To help customers navigate this space, we developed a concise definition and four-level […]

In our prior blog, we discussed a definition and framework for Digital Twins consistent with how our customers are using Digital Twins in their applications. We defined Digital Twin as “a living digital representation of an individual physical system that is dynamically updated with data to mimic the true structure, state, and behavior of the […]

In our prior blog, we discussed a definition and framework for Digital Twins consistent with how our customers are using Digital Twins in their applications. We defined Digital Twin as “a living digital representation of an individual physical system that is dynamically updated with data to mimic the true structure, state, and behavior of the […]

In our prior blog, we discussed a definition and framework for Digital Twins consistent with how our customers are using Digital Twins in their applications. In particular, we described a Digital Twin leveling index to help customers understand their use cases and the technologies needed to achieve the business value they are seeking. This Digital […]

Every day, we hear from our customers about the desire to implement Digital Twins to improve operations, product offerings, and business value delivered to their own end customers. The concept of twins is not new and dates back to the early days of the space program. The Apollo 13 mission in the 1960s is an […]

Industrial IoT (IIoT) bridges the gap between industrial equipment and automation networks (usually called OT, Operations Technology) and Information Technology (IT). In IT, use of new technologies such as machine learning, cloud, mobile, and edge computing are becoming commonplace. IIoT brings machines, cloud computing, analytics, and people together to improve performance, productivity, and efficiency of […]

AWS IoT customers manage a large number of industrial assets which send sensor data to the cloud. The smooth operation of these assets is critical to the productivity of their plants, since any equipment breakdown can lead to unexpected downtime and require expensive recovery maintenance. The ability to predict such failures and respond to them […]

Gaining access to sensor data or telemetry of industrial machines is a key requirement for implementing high-value use cases around smart manufacturing or Industry 4.0. For instance, predictive maintenance or automated quality control is not possible without having such data at a high temporal resolution. Given the heterogeneous environment of modern industrial production lines with […]

The interest in machine learning for industrial and manufacturing use cases on the edge is growing. Manufacturers need to know when a machine is about to fail so they can better plan for maintenance. For example, as a manufacturer, you might have a machine that is sensitive to various temperature, velocity, or pressure changes. When […]