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IIot vs IoT - 10 differencies that mater

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presentation Maxim Romanov at the conference 'IoT clsuter development' Poland-Ukraine 30/08/2018 in Kyiv, Ukraine

Publicado en: Empresariales
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IIot vs IoT - 10 differencies that mater

  1. 1. IoT vs IIoT segmentation and trends MAKSYM ROMANOV
  2. 2. IIOT vs IOT – 10 Differences that matter IIOT •Securit y •Interop erability •Scalabi lity •Precisi on and Accurac y •Progra mmabili ty •Low latency •Reliabil ity •Resilie nce •Autom ation •Service •ability
  3. 3. Security for IIOT is more critical • Robustness • Process safety Higher cost of failure • IT security policy and technologies • Hazards environments Higher requirements from environment
  4. 4. Interoperability Cooperation lager amount of other systems more complicated and variable requirements Environment lager variance of protocols and interfaces TCO robustness serviceability
  5. 5. Scalability
  6. 6. Precision and Accuracy  IIOT applications have formal and more complicated requirements
  7. 7. Programmability  Agility is typical requirement for production process  Customization is the driver to raise sales
  8. 8. Low latency  In a high speed continuous production system with sensors monitoring every aspect of the operation, every second matters. Anomalies must be detected, and corrective actions applied in near real time. Any delay in detection, assessment, decision-making, and execution would be costly, in terms of worker safety, product quality, costs and lost revenues. Industrial IoT solutions must similarly be built to support the low latency requirements of some industrial applications.
  9. 9. Reliability  Industrial systems operate in long time scales before replacement – twenty to thirty years is not uncommon. They operate in harsh environments, sometimes subject to extreme heat, cold, high vibration, pressure, and dust conditions. They may operate in remote locations, far away from headquarters.  Industrial IoT solutions may be subject to the same conditions and requirements. They must be hardened to support high availability, withstand high duty cycles, and operate reliably and within tolerance, day in, day out for years and years, with shutdowns only for maintenance.
  10. 10. Resilience  Mission critical industrial processes and systems, where downtime (or even access for service) is not an option, are designed with resilience in mind. A breakdown in one part of the system will not stop operations. While there may be a loss in operational capability, the tasks are taken up by backup systems, or the processes may be routed to a part of the system with extra capacity.  Industrial IoT solutions, in mission critical operations, must support fault tolerance, or resilience capabilities in its design. From a loss of sensors to a loss of connectivity, industrial IoT systems and architectures must compensate for in-use failures, and still be able to satisfactorily complete its processes and operations.
  11. 11. Automation  Many industrial processes are highly automated from start to finish, with limited to no human intervention. IoT solutions operating in industrial environments need to support a range of autonomy requirements. This may entail building intelligence into the edge devices, incorporating control and automation logic in the gateway, or incorporating deep learning capabilities in the system design. In addition, it must be programmable and integrate with legacy or new manufacturing execution systems.
  12. 12. Serviceability  Industrial systems must operate reliably and predictably in harsh conditions for years and years. Supporting this level of performance requires regular maintenance from in-house and field service technicians. IoT solutions operating in industrial environments must be serviceable in order to sustain the levels of performance required. From swapping out sensors, updating firmware, to configuring gateways and servers, the ability to maintain industrial IoT solutions over its entire lifecycle is an essential requirement.
  13. 13. Key takeaways Buyers evaluating IoT solutions for industrial applications must ask the hard questions. Today’s IIoT solutions are emerging and evolving in a very dynamic market. Vendors offering IIoT solutions may be coming from adjacent markets with solutions that may not be robust enough for all industrial applications. Industrial processes impose onerous requirements on IoT solutions. Product managers must account for these additional requirements in the design and engineering. They must understand the specific use cases, as well as the environments the solutions will be placed into. Functionality is important, but isn’t the only determinant of whether an IoT solution is “industrial” ready or not. There are ten other parameters that must be considered. In reality, IoT and IIoT solutions may incorporate all these parameters, but differ in what is implemented and how.

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