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DeviceLynk Delivers Customized IIoT Solution

Previously to working with ThingWorx, DeviceLynk built an IIoT platform but found it lacked scalability. They needed something to capture and handle data from an unlimited amount of devices and customers.

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  • SUPPLIER
  • ThingWorx (PTC)
    The ThingWorx IoT Technology Platform. One Platform. Limitless Possibilities. ThingWorx is the only enterprise-ready technology platform that enables innovators to rapidly develop and deploy smart, connected solutions for the Internet of Things. Build Fast Connectivity and development tools made for IoT enable developers to quickly create, test and deploy solutions faster than ever thought possible. Build Smart Integrated capabilities of the platform enable developers to create more feature-rich solutions in a fraction of the time of other platforms. Build for Enterprises Developers quickly and easily create IoT solutions that are scalable, secure, and meet the needs of the largest of enterprises.
  • INDUSTRIES
  • Equipment & Machinery
  • FUNCTIONS
  • Product Development
  • CUSTOMER
  • DeviceLynk utilizes Industrial IoT technology to create informative dashboards that are cloud based and capable of collecting and visualizing data from any connected device.

  • CONNECTIVITY PROTOCOLS
  • SOLUTION
  • By partnering with and utilizing the ThingWorx platform, DeviceLynk transformed their overall business strategy and developed a solution that has had a considerable impact on their business and customer ecosystem. To get a free demo of ThingWorx 8: http://solutions.iotone.com/thingworx

  • DATA COLLECTED
  • Asset Location, Asset Performance, Asset Status Tracking
  • SOLUTION TYPE
  • SOLUTION MATURITY
  • Cutting Edge (technology has been on the market for < 2 years)
  • OPERATIONAL IMPACT
  • Impact #1
    [Financial Growth - Revenue]
    Since implementing a solution based on the ThingWorx IoT Platform, DeviceLynk has seen an immediate increase in their sales.
    Impact #2
    [Data Management - Data Analysis]
    Cloud solutions enable aggregation of 'big data' to enable more robust analysis and lower costs.
    Impact #3
    [Data Management - Data Analysis]
    Data Mining, prognostics, diagnostics, and embedded intelligence are used to make DeviceLynk's solution smarter so that they can meet their customer's needs.
  • QUANTITATIVE BENEFIT
  • Benefit #1

    DeviceLynk went from scaling a maximum of 100 total assets across their customer base to scaling up to 21 sites with hundreds of assets at each location.

  • USE CASES
  • Continuous Emission Monitoring Systems
    Continuous emission monitoring systems (CEMS) measure airflow, dust, the concentration of air pollutants (such as SO2, NOx, CO, etc.), and other parameters related to emissions. Required parameters depend on the type of stationary source and local regulations. A standard CEMS consists of a sample probe, filter, sample line (umbilical), gas conditioning system, calibration gas system, and a series of gas analyzers that reflect the parameters being monitored. Typically monitored emissions include: sulfur dioxide, nitrogen oxides, carbon monoxide, carbon dioxide, hydrogen chloride, airborne particulate matter, mercury, volatile organic compounds, and oxygen. CEMS can also measure airflow, flue gas opacity, and moisture.
    Track & Trace of Assets
    Track and trace systems provide real-time or periodic updates for the current and historical locations of containers, vehicles, or other property. Solutions can apply reckoning and reporting of the position of vehicles and containers that store the tracked property of concern. For example, if it is known the one thousand objects are stored in a container, it is more cost effective to track the container than each individual object. However, high value individual objects can also be monitored directly. Wireless tags can be attached to objects with fixed reference points receiving wireless signals from tags to determine their location, as when a pallet is loaded onto a truck. Alternatively, GPS or another technology can track the object using satellite or cellular networks. Examples of real-time locating systems include tracking products through an assembly line, locating pallets of merchandise in a warehouse, and tracking containers as they move across warehouses. The physical layer is usually some form of radio frequency communication, but some systems use optical or acoustic technology.
  • SOFTWARE
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