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Asset Management Use Case

Samsung ARTIK™ powers asset management solutions

The Shoreline iCast Wireless IoT Mini Gateway

Introduction: The Internet of Things (IoT) is revolutionizing Industrie 4.0 processes.

IoT hardware and software can connect factory assets and building resources to the cloud, allowing factory owners and building operators to collect accurate and timely data about mobile or fixed assets to inform tactical and strategic business decisions. Companies can improve asset performance, predict and respond to machine breakdowns, and guarantee assets are being used correctly, all of which helps minimize overall asset lifetime costs and increases organizational efficiencies.

The Samsung ARTIK™ IoT platform provides an ideal solution for companies to more easily enable intelligence and connectivity for new or legacy assets. Pre-certified, production and cloud-ready ARTIK system-on-modules include integrated processors, memory, multi-protocol radios, end-to-end security, and pre-integrated software to power everything from simple IoT edge nodes to enterprise-grade gateways and smart devices capable of edge analytics. This integrated approach reduces both development time and costs for connected products.

What’s under the hood?

This use case demonstrates how ARTIK, in particular the ARTIK 053s module, has enabled an asset monitoring solution to support more efficient business operations. The ARTIK 053s includes a highly-secure processor, memory, hardware and software security features, and Wi-Fi radio in a single, integrated design. The ARTIK 053s has sufficient computing power to conduct a significant amount of data pre-processing on the edge prior to sending data to the cloud, minimizing data transport and storage costs. It also provides important hardware-based security features, including unique identities, which further protect devices and installations.

Maximizing power distribution during production line reconfiguration

A common production challenge is ensuring power can be delivered reliably to production equipment as a production line is reconfigured. Semiconductor manufacturers, for example, are constantly adjusting fab lines to respond to customer demand and resource availability. This requires managers to determine not only the physical location of any new manufacturing asset, but where exactly to integrate it into the facility’s power infrastructure to manage energy load. Managers must also determine if the existing power infrastructure is sufficient for the new configuration, to prevent overload situations.

Today, managers clip data loggers to electrical panels and subpanels prior to the installation of new equipment. At least two days’ worth of data are required in order to make an informed decision about how to power new equipment. However, it’s not unusual to run data collection for even longer to minimize the effect of short-term power spikes and drops on the data and to get a more accurate picture of power use over a range of manufacturing conditions.

An IoT-enabled solution would continually collect real-time data about actual equipment power use, and analyze that data in order to make reconfiguration decisions confidently, in minutes.

How to implement real-time asset power monitoring

The Shoreline iCast Wireless IoT bridge and software solution, built on the Samsung ARTIKTM 053s module, is an effective answer to this challenge. Integrating an iCast-based solution into line operations means power (and other types of data) are collected in real-time, providing an extensive usage record upon which to base reconfiguration decisions. Legacy devices such as electrical panels can be retro-fitted with low-power, IoT-based sensors which continually capture and forward operational data to the iCast gateway, which then forwards the data to an on-prem or cloud-based analytics service such as PTC Thingworx or Samsung Brightics.


This allows factory managers to make data-driven decisions in response to specific reconfiguration requests in near real-time.

Putting the new data to broader use

In addition to enabling better power management decisions, the combination of extensive equipment power history and real-time status also allows for day-to-day operational efficiencies such as early indications of equipment problems, and ultimately replacement of regularly-scheduled maintenance with predictive, as-needed maintenance. This reduces both equipment downtime and the time personnel may waste checking properly-functioning equipment.

Critical solution attributes include:

  • Simple deployment: The combination of Shoreline iCast IoT hardware and software with cloud services provides a highly integrated, plug-and-play solution for asset monitoring and predictive maintenance of assets in industrial and commercial buildings. The seamless integration of iCast multi-protocol software with major cloud platform services enables customers to upgrade and remotely manage their legacy systems without disrupting plant operations or assistance from specialized technicians. The iCast2 end-to-end solution provides simplified deployment and can be set up in a few minutes rather than days or months.
  • Designed for retrofit: The iCast2 device software records data from the legacy industrial equipment and sensors and performs protocol translations (Modbus, RS485, I2C, 0-10V, 4-20 mA, digital IOs, BLE), data filtering, aggregation and buffering of data, local rules processing, device provisioning and secure registration with the cloud or local edge gateway. The iCast Cloud software includes real-time monitoring dashboards, notifications and alerts, user management, device management, sensor profile manager plus over the air (OTA) updates.
  • Secure: The iCast IoT system also addresses security concerns by providing secure registration, secure onboarding of device activation and configuration and authentication.

Conclusions

IoT is often explained (one might say hyped…) as a series of connected systems and smart devices responding in unsupervised—almost magical ways—to their environments and owners. As new technologies like machine learning and AI are incorporated into connected systems, future IoT solutions will require less human intervention. However, this use case demonstrates how the real value of IoT today is as a means of gathering real-time knowledge about the current state of business assets to allow managers to respond to ever-changing situations. Thoughtful deployments of IoT solutions can provide significant gains which easily pay for themselves.

IoT solutions are available in many different configurations and can be applied to legacy as well as new installations. New solutions can, and should, grow over time as deeper insights reveal new ways to operate businesses.

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