Amazon Monitron Starter Kit, an end-to-end system for equipment monitoring

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No specialized knowledge is required to build this solution, but basic Linux, Python, and SQL knowledge will help.

As you can guess, building and deploying such maintenance systems can be a long, complex, and costly project involving bespoke hardware, software, infrastructure, and processes. Our customers asked us for help, and we got to work.Predictive maintenance can be applied to existing assets, for example by applying add-on sensors, but even better, it is incorporated right from the start in the development of a new asset, enabling optimal sensor integration.

ADLINK Technology offers hardware/software platforms enabling customers to implement edge AI solutions for real-time delivery of actionable data in industrial markets such as manufacturing, transportation, healthcare, energy, and communications. "The integration of AWS Panorama on ADLINK's industrial vision systems makes for truly plug-and-play computer vision at the edge,” saidElizabeth Campbell, CEO atADLINK USA. “In 2021, we will be making AWS Panorama-certified ADLINK NEON cameras powered by NVIDIA Jetson AGX Xavier available to customers to drive high-quality computer vision powered outcomes much, much faster. This allows ADLINK to deliver ML digital experiments and time to value for our customers more rapidly across logistics, manufacturing, energy, and utilities use cases."

They are now capturing temperature and vibration information. Although there isn’t much to see for the moment, graphs are available in the mobile app. Condition-based maintenance and predictive maintenance require sensors to be installed on critical equipment. These sensors measure and capture physical quantities such as temperature and vibration, whose change is a leading indicator of a potential failure or a deteriorating condition. AWS Panorama Software Development Kit (SDK) allows industrial camera manufacturers to embed computer vision capabilities in new cameras The following screenshot is an example of what you can achieve at the end of this post. This dashboard is divided into three sections:

Planned maintenance: where predefined maintenance activities are performed on a periodic or meter basis, regardless of condition. The effectiveness of planned maintenance activities is dependent on the quality of the maintenance instructions and planned cycle. It risks equipment being both over- and under-maintained, incurring unnecessary cost or still experiencing breakdowns. AWS Panorama Appliance enables customers with existing cameras in their industrial facilities with the ability to use computer vision to improve quality control and workplace safetyAction taken – This can be ADJUST, CLEAN, LUBRICATE, MODIFY, OVERHAUL, REPLACE, NO_ACTION, or OTHER There have been common challenges with condition-based monitoring to generate actionable insights for large industrial asset fleets. These challenges include but are not limited to: build and maintain a complex infrastructure of sensors collecting data from the field, obtain a reliable high-level summary of industrial asset fleets, efficiently manage failure alerts, identify possible root causes of anomalies, and effectively visualize the state of industrial assets at scale. Failure cause – This can be one of the following: ADMINISTRATION, DESIGN, FABRICATION, MAINTENANCE, OPERATION, OTHER, QUALITY, WEAR, or UNDEDETERMINED On the Grafana workspace console, in the navigation pane, choose the lower AWS icon (there are two) and then choose Athena on the Data sources menu.