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Found 19 results

  1. Today, AWS IoT Core for LoRaWAN announced the expansion of the public network support in the Spain region. With this expansion, Internet of Things (IoT) customers that offer LoRaWAN-based systems and solutions in Spain can seamlessly connect their LoRaWAN-powered devices to AWS over a public network infrastructure. This public infrastructure is provided as a service and supported by Everynet - a global LoRaWAN network operator offering networks in the United States, United Kingdom, and Spain. Thanks to the publicly available network infrastructure, customers in Spain can realize improved savings in time and costs associated with managing a private network infrastructure for LoRaWAN-based solutions. View the full article
  2. Today, AWS IoT Core for LoRaWAN announces a new fleet monitoring application that enables developers capture and visualize critical operational and health parameters related to the functioning of LoRaWAN-based gateways and devices. AWS IoT Core for LoRaWAN is a fully managed LoRaWAN Network Server that supports cloud connectivity for LoRaWAN-based wireless devices. Using the new metrics feature, developers can now quickly capture system health data, such as connection signal strength, data rate, and gateway latency and analyze their fleet’s performance. View the full article
  3. Today, we’re announcing the general availability of extended industrial protocol support for AWS IoT SiteWise. Through a new integration with AWS Partner Domatica, customers can now ingest data from 10 additional industrial protocols including Modbus (TCP & RTU), Ethernet/IP, Siemens S7, KNX, LoRaWAN, MQTT, Profinet, Profibus BACnet, and Rest interfaces, in addition to native OPC UA support. Previously, ingesting data from these protocols required acquiring, provisioning, and configuring infrastructure and middleware for data collection resulting in additional cost and time to value. View the full article
  4. AWS IoT Core announces General Availability of the capability to send device logs from Internet of Things (IoT) devices to Amazon CloudWatch Logs in batches, enabling you to optimize the cost of using CloudWatch Log Action in IoT Rules. View the full article
  5. Starting today, AWS IoT TwinMaker will support asset synchronization with AWS IoT SiteWise, making it easier for AWS IoT SiteWise customers to bring their assets and asset models into AWS IoT TwinMaker. View the full article
  6. The Alarms feature in AWS IoT Events allows you to set up, visualize and manage rule-based alerts for devices, equipment, and processes. You can receive alerts via SMS or email in near-real time when equipment data breaches thresholds, allowing operations teams to take timely actions to reduce unplanned equipment downtime. View the full article
  7. AWS IoT SiteWise now supports linear interpolation, enabling customers to estimate and retrieve the values of missing data points in their time series data. View the full article
  8. AWS IoT SiteWise is a managed service that makes it easy to collect, store, organize and monitor data from industrial equipment at scale to help you make better, data-driven decisions. View the full article
  9. AWS IoT SiteWise Monitor now supports AWS CloudFormation, enabling customers to create and manage AWS IoT SiteWise Monitor resources such as portals, projects, dashboards, widgets, and properties using CloudFormation. View the full article
  10. We are excited to announce Alarms, a new feature (currently in preview) in AWS IoT Events that allows you to set up, visualize and manage rule-based alerts for devices, equipment, and processes. You can now receive alerts via SMS or email in near-real time when equipment data breaches thresholds, allowing operations teams to take timely actions to reduce unplanned downtime. View the full article
  11. Today, we are announcing AWS IoT SiteWise Edge (Preview), a new feature of AWS IoT SiteWise providing software that runs on-premises at industrial sites and makes it easy to collect, process, and monitor equipment data locally before sending the data to AWS Cloud destinations. SiteWise Edge is installed on local hardware such as third-party industrial gateways and computers, or on AWS Outposts and AWS Snow Family compute devices. View the full article
  12. Today, AWS and Grafana Labs launched the AWS IoT SiteWise plugin for Grafana. This plugin lets you easily visualize your AWS IoT SiteWise data in your Grafana dashboards. With this plugin, you can easily visualize and monitor your equipment data in near-real time using the wide range of visualization options in Grafana dashboards. You can also easily combine data from multiple sources (e.g., AWS IoT SiteWise, Amazon Timestream, Amazon CloudWatch) and monitor them all using a single Grafana dashboard. You can also embed these Grafana dashboards into your custom applications. View the full article
  13. AWS IoT SiteWise now supports data ingestion using ModBus TCP and EtherNet/IP (EIP) protocols. You can do so by adding Modbus or EIP devices as data sources to your SiteWise Gateway. For data ingestion from OPC-UA data sources, you can now customize the scan mode and scan rate along with specifying deadbands. Lastly, you can provide a custom AWS IoT Greengrass StreamManager stream as a destination for protocol data. View the full article
  14. AWS IoT SiteWise now supports table charts in AWS IoT SiteWise Monitor. With table charts, you can have a compact representation of the latest data from your equipment in a simple table simply by dragging and dropping the data and metrics you are interested in monitoring into a table. For example, you can now easily tabulate and visualize the latest key operational metrics like equipment properties, status, or aggregate functions such as the production lines’ Overall Equipment Effectiveness (OEE) in a single table, making it easy for you to get a bird’s eye view of your plant and also do a side by side comparison of how these assets are performing. You can learn more about table charts here. View the full article
  15. AWS IoT SiteWise is a managed service that makes it easy to collect, store, organize and monitor data from industrial equipment at scale to help you make better, data-driven decisions. View the full article
  16. AWS IoT SiteWise now supports ingestion of data that is up to 7 days old (extended from 15 mins). Late data may be ingested in to AWS IoT SiteWise using the AWS IoT SiteWise connector (which runs on your edge devices), AWS IoT Core or the BatchPutAssetPropertyValue API directly. This would enable you to transmit any accumulated data to AWS IoT SiteWise when recovering from intermittent connectivity issues. To get the most out of this feature, please upgrade to version 8 (latest) of IoT SiteWise connector that runs on AWS IoT Greengrass. AWS IoT SiteWise automatically calculates (or recalculates) related transforms or metrics on arrival of late data. To learn more, visit the late data ingestion page in the AWS IoT SiteWise user guide. View the full article
  17. AWS IoT SiteWise is a managed service that makes it easy to collect, store, organize and monitor data from industrial equipment at scale to help you make better, data-driven decisions. View the full article
  18. AWS IoT SiteWise, a managed service that makes it easy to collect, store, organize and monitor data from industrial equipment at scale, now supports three new visualization options in SiteWise Monitor: AWS IoT SiteWise Monitor now supports Status charts, a chart type that visualizes data that has a small number of well-defined states. With Status charts, you can now visualize live equipment status as a grid, or view historical status as a timeline simply by configuring conditional thresholds using <, >, ≤, ≥, and = operators and assigning colors to the thresholds. For example, for a temperature sensor, you can define a temperature value greater than, say, 80° F as “RED” and anything less than or equals to 80° F as “GREEN” so that you can easily visualize whether the temperature is currently RED (above 80° F) or GREEN (less than or equals to 80° F), or when the temperature has been GREEN and RED over a period of time in the past. AWS IoT SiteWise Monitor now supports Scatter charts, a chart type that helps customers visualize distinct data points (without connecting lines) for live and historical operational data. With Scatter charts, you can look for any correlations between the measured values over a period of time. Scatter charts provide a cleaner visualization of the overall spread of operational data from processes, devices, and equipment plotted against time. Scatter charts also help with visualizing and comparing sensor data and manually-ingested data in the same chart in SiteWise. AWS IoT SiteWise Monitor now supports Trend lines, a linear regression line that best approximates the relationship between measured data and time. With Trend lines, you can now intuitively identify gradual shifts and changes in your live and historical data simply by adding trend lines to any of your Line, Scatter, and Bar charts. For example, in a windfarm, if you see a gradual decline in the power output trend line from a wind turbine while there is a flat and steady wind speed trend line, you can easily identify a power conversion efficiency issue with the wind turbine and immediately deploy field technicians to inspect and troubleshoot the wind turbine. View the full article
  19. AWS IoT SiteWise now supports AWS CloudFormation, enabling customers to create and manage SiteWise Asset Models, Assets and Gateway resources using CloudFormation. View the full article
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