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Delivers Seamless Scalability to IOTATOI

IOTATOI is a division of Power Agent Systems that has developed an edge server called the Universal Monitoring System (UMS). IOTATOI is using UMS as an edge tier data collector to monitor backup battery arrays in manufacturing, mines, and chemical plants. This experience with battery backups led IOTATOI to expand the system to any condition that can be monitored by sensors such as vibration, heat, temperature, and flow. IOTATOI found they needed to move from their original middleware to something that would allow greater scalability and to also present information in a much broader way allowing them to dynamically look at the information and perform benchmarking analysis, feeding the data into analytics engines and creating a much more actionable view.

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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
  • Chemicals
  • FUNCTIONS
  • Maintenance
  • CUSTOMER
  • IOTATOI (I-O-TA-Toy) provides a cost-effective way to manage and coordinate all the disparate elements required for real-time comprehensive monitoring. From data gathering through operations management to analysis and data integration, IOTATOI extends the ability to both gather and act on information generated by plant equipment and systems.

  • CONNECTIVITY PROTOCOLS
  • SOLUTION
  • IOTATOI had developed the physical ability to connect all of the sensors and bring it into a centralized location. Thingworx gave us the ability to seamlessly scale that information, view the information from any location, push information to any location, and do some unique things that they were unable to do with their existing middleware. The addition of ThingWorx to the UMS means that IOTATOI can have customers request a specific representation or report with the exact sensors they require. IOTATOI can create the mashup, set the sensors, configure where the data is to be sent, and enable it all with everything pre-configured when shipped. The customer then deploys the box on their site; calls IOTATOI to verify the solution is operating as configured and they can then be monitoring 5, 10, 15, 20 or more sensors on their equipment all at a fraction of the historical cost. To get a free demo of ThingWorx 8: http://solutions.iotone.com/thingworx

  • DATA COLLECTED
  • Backup, Battery Charge Level, Fluid Flow Rates, Temperature, Vibration
  • SOLUTION TYPE
  • SOLUTION MATURITY
  • Emerging (technology has been on the market for > 2 years)
  • OPERATIONAL IMPACT
  • Impact #1
    [Efficiency Improvement - Maintenance]
    Real-time status reports enable maintenance personnel to remotely diagnose the status of a device.
    Impact #2
    [Efficiency Improvement - R&D]
    Ongoing application development and improvements are relatively quick and inexpensive to implement due to the system's flexibility.
    Impact #3
  • QUANTITATIVE BENEFIT
  • Benefit #1

    The customer then deploys the box on their site; calls IOTATOI to verify the solution is operating as configured and they can then be monitoring 5,10,15,20 or more sensors on their equipment all at a fraction of the historical cost.

  • USE CASES
  • Process Control & Optimization
    Process control and optimization (PCO) is the discipline of adjusting a process to maintain or optimize a specified set of parameters without violating process constraints. The PCO market is being driven by rising demand for energy-efficient production processes, safety and security concerns, and the development of IoT systems that can reliably predict process deviations. Fundamentally, there are three parameters that can be adjusted to affect optimal performance. - Equipment optimization: The first step is to verify that the existing equipment is being used to its fullest advantage by examining operating data to identify equipment bottlenecks. - Operating procedures: Operating procedures may vary widely from person-to-person or from shift-to-shift. Automation of the plant can help significantly. But automation will be of no help if the operators take control and run the plant in manual. - Control optimization: In a typical processing plant, such as a chemical plant or oil refinery, there are hundreds or even thousands of control loops. Each control loop is responsible for controlling one part of the process, such as maintaining a temperature, level, or flow. If the control loop is not properly designed and tuned, the process runs below its optimum. The process will be more expensive to operate, and equipment will wear out prematurely. For each control loop to run optimally, identification of sensor, valve, and tuning problems is important. It has been well documented that over 35% of control loops typically have problems. The process of continuously monitoring and optimizing the entire plant is sometimes called performance supervision.
  • SOFTWARE
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