hIOTron
hIOTron's machine monitoring product is a comprehensive solution that enables you to monitor and analyze your industrial machines in real-time. With this product, you can track machine performance, detect anomalies, predict failures, and schedule maintenance activities to improve uptime and reduce downtime.
The machine monitoring product consists of a range of sensors and devices that collect data from your machines, such as temperature, pressure, vibration, and other operational parameters. This data is then transmitted to a central hub where it is analyzed using advanced analytics and machine learning algorithms to identify patterns and trends.
hIOTron platform provides a user-friendly dashboard that displays real-time machine data, key performance indicators, and alerts. It also provides reports and analytics to help you understand your machine performance and identify areas for improvement.
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Guidewheel
Get more from existing assets, lower costs, and set your team up to win with Guidewheel's AI-powered platform. The fastest way to improve factory operations. Accurately track downtime and root causes to improve utilization and efficiency. Forecast throughput and accurately track planned vs. actual production. Monitor OEE in real time and see how you’re trending over time. Accurately track cycles, cycle time, and performance against targets. Monitor energy usage and find opportunities to reduce consumption and cost. Learn of maintenance needs before they develop into issues. Monitor conditions like temperature, flow, humidity, and pressure. Reveal and address losses like preventable downtime, long changeovers, and late starts to unlock hidden capacity. Get AI-driven alerts the moment performance deviates from plan, so your team can take corrective action to stay on track. Build customer trust by delivering on time every time.
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Oracle IoT Intelligent Applications Cloud
Oracle’s Internet of Things (IoT) Intelligent Applications Cloud can provide you with more visibility, insights and efficiencies by capturing sensor data from connected devices using smart manufacturing, connected assets, connected logistics, workplace safety, and connected customer experience. Increase your revenue by using IoT applications to improve efficiency, increase supply chain visibility, and launch new business models. Prevent downtime by using IoT sensor data for real-time visibility and maintenance of machines, vehicles, and other assets. Reduce costs by connecting and monitoring vehicle routes and products in transit. Ensure regulatory compliance and identify causes of incidents, with real-time visibility into workplace environments.
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AWS IoT Analytics
IoT data is highly unstructured which makes it difficult to analyze with traditional analytics and business intelligence tools that are designed to process structured data. IoT data comes from devices that often record fairly noisy processes (such as temperature, motion, or sound). The data from these devices can frequently have significant gaps, corrupted messages, and false readings that must be cleaned up before analysis can occur. Also, IoT data is often only meaningful in the context of additional, third party data inputs. For example, to help farmers determine when to water their crops, vineyard irrigation systems often enrich moisture sensor data with rainfall data from the vineyard, allowing for more efficient water usage while maximizing harvest yield. AWS IoT Analytics automates each of the difficult steps that are required to analyze data from IoT devices. AWS IoT Analytics is a fully managed and pay-as-you-go service that scales automatically.
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